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Scott J, Iorfino F, Capon W, Crouse J, Nelson B, Chanen AM, Dwyer D, Conus P, Bechdolf A, Ratheesh A, Raballo A, Yung A, Berk M, McKenna S, Hockey S, Hutcheon A, Scott E, McGorry P, Shah J, Hickie IB. Staging 2.0: refining transdiagnostic clinical staging frameworks to enhance reliability and utility for youth mental health. Lancet Psychiatry 2024; 11:461-471. [PMID: 38643773 DOI: 10.1016/s2215-0366(24)00060-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/11/2024] [Accepted: 02/16/2024] [Indexed: 04/23/2024]
Abstract
Globally, 75% of depressive, bipolar, and psychotic disorders emerge by age 25 years. However, these disorders are often preceded by non-specific symptoms or attenuated clinical syndromes. Difficulties in determining optimal treatment interventions for these emerging mental disorders, and uncertainties about accounting for co-occurring psychopathology and illness trajectories, have led many youth mental health services to adopt transdiagnostic clinical staging frameworks. In this Health Policy paper, an international working group highlights ongoing challenges in applying transdiagnostic staging frameworks in clinical research and practice, and proposes refinements to the transdiagnostic model to enhance its reliability, consistent recording, and clinical utility. We introduce the concept of within-stage heterogeneity and describe the advantages of defining stage in terms of clinical psychopathology and stage modifiers. Using examples from medicine, we discuss the utility of categorising stage modifiers into factors associated with progression (ie, potential predictors of stage transition) and extension (ie, factors associated with the current presentation that add complexity to treatment selection). Lastly, we suggest how it is possible to revise the currently used transdiagnostic staging approach to incorporate these key concepts, and how the revised framework could be applied in clinical and research practice.
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Affiliation(s)
- Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - William Capon
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Jacob Crouse
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Barnaby Nelson
- Orygen and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Andrew M Chanen
- Orygen and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Dominic Dwyer
- Orygen and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Philippe Conus
- General Psychiatry Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Andreas Bechdolf
- Department of Psychiatry and Psychotherapy, CCM, Charité Universitatsmedizin, Berlin, Germany
| | - Aswin Ratheesh
- Orygen and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Andrea Raballo
- Faculty of Biomedical Sciences, Universita della Svizzera Italiana, Lugano, Switzerland
| | - Alison Yung
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University and Barwon Health, Geelong, VIC, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University and Barwon Health, Geelong, VIC, Australia
| | - Sarah McKenna
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Samuel Hockey
- Lived Experience Working Group, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Alexis Hutcheon
- Lived Experience Working Group, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Elizabeth Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Pat McGorry
- Orygen and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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Dimitropoulos G, Lindenbach D, Potestio M, Mogan T, Richardson A, Anderson A, Heintz M, Moskovic K, Gondziola J, Bradley J, LaMonica HM, Iorfino F, Hickie I, Patten SB, Arnold PD. Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures. JMIR Res Protoc 2024; 13:e51667. [PMID: 38506921 PMCID: PMC10993112 DOI: 10.2196/51667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 01/13/2024] [Accepted: 02/09/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Mental illness among emerging adults is often difficult to ameliorate due to fluctuating symptoms and heterogeneity. Recently, innovative approaches have been developed to improve mental health care for emerging adults, including (1) implementing patient-reported outcome measures (PROMs) to assess illness severity and inform stratified care to assign emerging adults to a treatment modality commensurate with their level of impairment and (2) implementing a rapid learning health system in which data are continuously collected and analyzed to generate new insights, which are then translated to clinical practice, including collaboration among clients, health care providers, and researchers to co-design and coevaluate assessment and treatment strategies. OBJECTIVE The aim of the study is to determine the feasibility and acceptability of implementing a rapid learning health system to enable a measurement-based, stratified care treatment strategy for emerging adults. METHODS This study takes place at a specialty clinic serving emerging adults (age 16-24 years) in Calgary, Canada, and involves extensive collaboration among researchers, providers, and youth. The study design includes six phases: (1) developing a transdiagnostic platform for PROMs, (2) designing an initial stratified care model, (3) combining the implementation of PROMs with stratified care, (4) evaluating outcomes and disseminating results, (5) modification of stratified care based on data derived from PROMs, and (6) spread and scale to new sites. Qualitative and quantitative feedback will be collected from health care providers and youth throughout the implementation process. These data will be analyzed at regular intervals and used to modify the way future services are delivered. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is used to organize and evaluate implementation according to 3 key objectives: improving treatment selection, reducing average wait time and treatment duration, and increasing the value of services. RESULTS This project was funded through a program grant running from 2021 to 2026. Ethics approval for this study was received in February 2023. Presently, we have developed a system of PROMs and organized clinical services into strata of care. We will soon begin using PROMs to assign clients to a stratum of care and using feedback from youth and clinicians to understand how to improve experiences and outcomes. CONCLUSIONS This study has key implications for researchers and clinicians looking to understand how to customize emerging adult mental health services to improve the quality of care and satisfaction with care. This study has significant implications for mental health care systems as part of a movement toward value-based health care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/51667.
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Affiliation(s)
- Gina Dimitropoulos
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
- Faculty of Social Work, University of Calgary, Calgary, AB, Canada
| | - David Lindenbach
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | | | - Tom Mogan
- Alberta Health Services, Edmonton, AB, Canada
| | | | - Alida Anderson
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | - Madison Heintz
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
| | | | | | | | - Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Ian Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Scott B Patten
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Paul D Arnold
- Mathison Centre for Mental Health & Education, University of Calgary, Calgary, AB, Canada
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Dimitropoulos G, Bassi EM, Bright KS, Gondziola J, Bradley J, Fersovitch M, Stamp L, LaMonica HM, Iorfino F, Gaskell T, Tomlinson S, Johnson DW. Implementation of an Electronic Mental Health Platform for Youth and Young Adults in a School Context Across Alberta, Canada: Thematic Analysis of the Perspectives of Stakeholders. JMIR Ment Health 2024; 11:e49099. [PMID: 38231558 PMCID: PMC10831665 DOI: 10.2196/49099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/06/2023] [Accepted: 12/01/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Youth, aged 15 to 24 years, are more likely to experience mental health (MH) or substance use issues than other age groups. This is a critical period for intervention because MH disorders, if left unattended, may become chronic and serious and negatively affect many aspects of a young person's life. Even among those who are treated, poor outcomes will still occur for a percentage of youth. Electronic MH (eMH) tools have been implemented in traditional MH settings to reach youth requiring assistance with MH and substance use issues. However, the utility of eMH tools in school settings has yet to be investigated. OBJECTIVE The objective of this study was to gain an understanding of the perspectives of key school staff stakeholders regarding barriers and facilitators to the implementation of the Innowell eMH platform in secondary schools across the province of Alberta, Canada. METHODS Guided by a qualitative descriptive approach, focus groups were conducted to elicit stakeholder perspectives on the perceived implementation challenges and opportunities of embedding the Innowell eMH platform in secondary school MH services. In total, 8 focus groups were conducted with 52 key school staff stakeholders. RESULTS Themes related to barriers and facilitators to youth and school MH care professional (MHCP) capacity in implementing and using eMH tools were identified. With respect to youth capacity barriers, the following themes were inductively generated: (1) concerns about some students not being suitable for eMH services, (2) minors requiring consent from parents or caregivers to use eMH services as well as confidentiality and privacy concerns, and (3) limited access to technology and internet service among youth. A second theme related to school MHCP barriers to implementation, which included (1) feeling stretched with high caseloads and change fatigue, (2) concerns with risk and liability, and (3) unmasking MH issues in the face of limited resources. In contrast to the barriers to youth and MHCP capacity, many facilitators to implementation were discussed. Youth capacity facilitators included (1) the potential for youth to be empowered using eMH tools, (2) the platform fostering therapeutic relationships with school personnel, and (3) enhancing access to needed services and resources. MHCP capacity facilitators to implementation were (1) system transformation through flexibility and problem-solving, (2) opportunities for collaboration with youth and MHCPs and across different systems, and (3) an opportunity for the continuity of services. CONCLUSIONS Our findings highlight nuanced school MHCP perspectives that demonstrate critical youth and MHCP capacity concerns, with consideration for organizational factors that may impede or enhance the implementation processes for embedding eMH in a school context. The barriers and facilitators to implementation provide future researchers and decision makers with challenges and opportunities that could be addressed in the preimplementation phase.
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Affiliation(s)
- Gina Dimitropoulos
- Faculty of Social Work, University of Calgary, Calgary, AB, Canada
- Calgary Eating Disorders Program, Alberta Health Services, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Emilie M Bassi
- Faculty of Social Work, University of Calgary, Calgary, AB, Canada
| | - Katherine S Bright
- School of Nursing and Midwifery, Faculty of Health, Community, and Education, Mount Royal University, Calgary, AB, Canada
- Heroes in Mind, Advocacy, and Research Consortium (HiMARC), Faculty of Rehabilitation Medicine, College of Health Sciences, University of Alberta, Edmonton, AB, Canada
| | - Jason Gondziola
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | - Jessica Bradley
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | - Melanie Fersovitch
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | - Leanne Stamp
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | | | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Tanya Gaskell
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | - Sara Tomlinson
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, AB, Canada
| | - David Wyatt Johnson
- Departments of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Maternal Newborn Child and Youth Strategic Clinical Network, Alberta Health Services, Calgary, AB, Canada
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Bassi E, Bright K, Norman L, Pintson K, Daniel S, Sidhu S, Gondziola J, Bradley J, Fersovitch M, Stamp L, Moskovic K, LaMonica H, Iorfino F, Gaskell T, Tomlinson S, Johnson D, Dimitropoulos G. Perceptions of mental health providers of the barriers and facilitators of using and engaging youth in digital mental-health-enabled measurement based care. Digit Health 2024; 10:20552076241253093. [PMID: 38726214 PMCID: PMC11080807 DOI: 10.1177/20552076241253093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
Objectives Increased rates of mental health disorders and substance use among youth and young adults have increased globally, furthering the strain on an already burdened mental health system. Digital solutions have been proposed as a potential option for the provision of timely mental health services for youth, with little research exploring mental health professional views about using such innovative tools. In Alberta, Canada, we are evaluating the implementation and integration of a digital mental health (dMH) platform into existing service pathways. Within this paper we seek to explore mental health professionals' perceptions of the barriers and facilitators that may influence their utilization of digital MH-enabled measurement-based care (MBC) with the youth who access their services. Methods A qualitative, descriptive methodology was used to inductively generate themes from focus groups conducted with mental health professionals from specialized mental health services and primary care networks in Alberta. Results As mental health professionals considered the barriers and facilitators of using dMH with youth, they referenced individual and family barriers and facilitators to consider. Providers highlighted perceived barriers, including: first, cultural stigma, family apprehension about mental health care, and parental access to dMH and MBC as deterrents to providers adopting digital platforms in routine care; second, perceptions of increased responsibility and liability for youth in crisis; third, perception that some psychiatric and neurodevelopmental disorders in youth are not amenable to dMH; fourth, professionals contemplated youth readiness to engage with dMH-enabled MBC. Participants also highlighted pertinent facilitators to dMH use, noting: first, the suitability of dMH for youth with mild mental health concerns; second, youth motivated to report their changes in mental health symptoms; and lastly, youth proficiency and preference for dMH options. Conclusions By identifying professionals' perceptions of barriers and facilitators for youth users, we may better understand how to address misconceptions about who is eligible and appropriate for dMH through training and education.
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Affiliation(s)
- E.M. Bassi
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
| | - K.S. Bright
- School of Nursing and Midwifery, Faculty of Health, Community, and Education, Mount Royal University, Calgary, Alberta, Canada
- Heroes in Mind, Advocacy, and Research Consortium (HiMARC), Faculty of Rehabilitation Medicine, College of Health Science, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - L.G. Norman
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
| | - K. Pintson
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
| | - S. Daniel
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
| | - S. Sidhu
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
| | - J. Gondziola
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - J. Bradley
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - M. Fersovitch
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - L. Stamp
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - K. Moskovic
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - H.M. LaMonica
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - F. Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - T. Gaskell
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - S. Tomlinson
- Provincial Addiction and Mental Health, Alberta Health Services, Calgary, Alberta, Canada
| | - D.W. Johnson
- Departments of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Maternal Newborn Child and Youth Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
| | - G. Dimitropoulos
- Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada
- Calgary Eating Disorders Program, Alberta Health Services, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
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Hickie IB, Iorfino F, Rohleder C, Song YJC, Nichles A, Zmicerevska N, Capon W, Guastella AJ, Leweke FM, Scott J, McGorry P, Mihalopoulos C, Killackey E, Chong MK, McKenna S, Aji M, Gorban C, Crouse JJ, Koethe D, Battisti R, Hamilton B, Lo A, Hackett ML, Hermens DF, Scott EM. EMPOWERED trial: protocol for a randomised control trial of digitally supported, highly personalised and measurement-based care to improve functional outcomes in young people with mood disorders. BMJ Open 2023; 13:e072082. [PMID: 37821139 PMCID: PMC10583041 DOI: 10.1136/bmjopen-2023-072082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/08/2023] [Indexed: 10/13/2023] Open
Abstract
OBJECTIVES Many adolescents and young adults with emerging mood disorders do not achieve substantial improvements in education, employment, or social function after receiving standard youth mental health care. We have developed a new model of care referred to as 'highly personalised and measurement-based care' (HP&MBC). HP&MBC involves repeated assessment of multidimensional domains of morbidity to enable continuous and personalised clinical decision-making. Although measurement-based care is common in medical disease management, it is not a standard practice in mental health. This clinical effectiveness trial tests whether HP&MBC, supported by continuous digital feedback, delivers better functional improvements than standard care and digital support. METHOD AND ANALYSIS This controlled implementation trial is a PROBE study (Prospective, Randomised, Open, Blinded End-point) that comprises a multisite 24-month, assessor-blinded, follow-up study of 1500 individuals aged 15-25 years who present for mental health treatment. Eligible participants will be individually randomised (1:1) to 12 months of HP&MBC or standardised clinical care. The primary outcome measure is social and occupational functioning 12 months after trial entry, assessed by the Social and Occupational Functioning Assessment Scale. Clinical and social outcomes for all participants will be monitored for a further 12 months after cessation of active care. ETHICS AND DISSEMINATION This clinical trial has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (HREC Approval Number: X22-0042 & 2022/ETH00725, Protocol ID: BMC-YMH-003-2018, protocol version: V.3, 03/08/2022). Research findings will be disseminated through peer-reviewed journals, presentations at scientific conferences, and to user and advocacy groups. Participant data will be deidentified. TRIAL REGISTRATION NUMBER ACTRN12622000882729.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Yun Ju Christine Song
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - William Capon
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Faculty of Medicine Mannheim, Psychiatry and Psychotherapy, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Jan Scott
- Newcastle University, Newcastle upon Tyne, UK
| | - Patrick McGorry
- Centre for Youth Mental Health, University of Melbourne Australia, Parkville, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Eoin Killackey
- Centre for Youth Mental Health, University of Melbourne Australia, Parkville, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
| | - Min K Chong
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sarah McKenna
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Melissa Aji
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Carla Gorban
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | | | - Blake Hamilton
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- headspace Camperdown, Camperdown, New South Wales, Australia
| | - Alice Lo
- Mind Plasticity, Sydney, New South Wales, Australia
| | - Maree L Hackett
- George Institute for Global Health, Newtown, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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Scott J, Crouse JJ, Medland S, Byrne E, Iorfino F, Mitchell B, Gillespie NA, Martin N, Wray N, Hickie IB. Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults. Early Interv Psychiatry 2023:10.1111/eip.13472. [PMID: 37787636 PMCID: PMC11100301 DOI: 10.1111/eip.13472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 09/02/2023] [Accepted: 09/25/2023] [Indexed: 10/04/2023]
Abstract
AIM To examine whether polygenic risk scores (PRS) for neuroticism, depression, bipolar disorder and schizophrenia are higher in individuals manifesting trans-diagnostic risk factors for the development of major mental disorders and whether PRS enhance prediction of early onset full-threshold disorders. METHODS Using data from the Brisbane Longitudinal Twin Study, we examined individual PRS for neuroticism, depression, bipolar disorder and schizophrenia, recorded evidence of subthreshold syndromes and family history of mood and/or psychotic disorders and noted progression to trans-diagnostic clinical caseness (onset of major mental disorders) at follow-up. We undertook multivariate, receiver operating curve and logistic regression analyses that were adjusted for known variables of influence (age, twin status, and so on). RESULTS Of 1473 eligible participants (female = 866, 59%; mean age 26.3 years), 28% (n = 409) met caseness criteria for a mood and/or psychotic disorder. All PRS were higher in cases versus non-cases but associations with different levels of risk were inconsistent. The prediction of caseness (reported as area under the curve with 95% confidence intervals [CI]) improved from 0.68 (95% CI: 0.65, 0.71) when estimated using clinical risk factors alone up to 0.71 (95% CI: 0.69, 0.73) when PRS were added to the model. Logistic regression identified five variables that optimally classified individuals according to caseness: age, sex, individual risk characteristics, PRS for depression and mental health case status of cotwins or siblings. CONCLUSIONS The findings need replication. However, this exploratory study suggests that combining PRS with other risk factors has the potential to improve outcome prediction in youth.
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Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Enda Byrne
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | | | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond VA, USA
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Naomi Wray
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland,Australia
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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Capon W, Hickie IB, Fetanat M, Varidel M, LaMonica HM, Prodan A, Piper S, Davenport TA, Mughal S, Shah JL, Scott EM, Iorfino F. A multidimensional approach for differentiating the clinical needs of young people presenting for primary mental health care. Compr Psychiatry 2023; 126:152404. [PMID: 37524044 DOI: 10.1016/j.comppsych.2023.152404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/02/2023] Open
Abstract
OBJECTIVES There is an ongoing necessity to match clinical interventions with the multidimensional needs of young people. A key step toward better service planning and the design of optimal models of care is to use multidimensional assessment to understand the clinical needs of those presenting to primary mental health care. METHODS 1284 people aged 12-25 years presenting to primary youth mental health services completed an online assessment at service entry. Latent class analysis was conducted for seven scales assessing anxiety, depression, psychosis, mania, functioning (indexed by Work and Social Adjustment Scale), and suicidality. RESULTS A three-class solution was identified as the optimal solution. Class 1 (n = 305, 23.75%), an early illness stage group, had low and mixed symptomatology with limited functional impairment, class 2 (n = 353, 27.49%) was made up of older persons with established depression and functional impairment, and class 3 (n = 626, 48.75%) had very high and complex needs, with functional impairment, suicidality, and at-risk mental states (psychosis or mania). Additional differentiating characteristics included psychological distress, circadian disturbances, social support, mental health history, eating disorder behaviours, and symptoms of post-traumatic stress disorder. CONCLUSIONS A large proportion of help-seeking young people present with symptoms and functional impairment that may exceed the levels of care available from basic primary care or brief intervention services. These subgroups highlight the importance of multidimensional assessments to determine appropriate service pathways and care options.
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Affiliation(s)
- William Capon
- Brain and Mind Centre, The University of Sydney, Australia.
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Australia.
| | - Masoud Fetanat
- Brain and Mind Centre, The University of Sydney, Australia.
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Australia.
| | | | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Australia; Translational Health Research Institute, Western Sydney University, Australia; School of Computer, Data and Mathematical Sciences, Western Sydney University, Australia.
| | - Sarah Piper
- Brain and Mind Centre, The University of Sydney, Australia.
| | | | - Sarah Mughal
- McGill University, Department of Psychiatry, Montreal, Canada.
| | - Jai L Shah
- McGill University, Department of Psychiatry, Montreal, Canada.
| | | | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Australia.
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8
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Iorfino F, McHugh C, Richards M, Skinner A, Prodan A, Occhipinti JA, Song YJC, Chiu S, Judkins S, Scott E, Hickie IB. Patterns of emergency department presentations for a youth mental health cohort: data-linkage cohort study. BJPsych Open 2023; 9:e170. [PMID: 37706294 PMCID: PMC10594097 DOI: 10.1192/bjo.2023.521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/23/2023] [Accepted: 06/09/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND Primary youth mental health services in Australia have increased access to care for young people, yet the longer-term outcomes and utilisation of other health services among these populations is unclear. AIMS To describe the emergency department presentation patterns of a help-seeking youth mental health cohort. METHOD Data linkage was performed to extract Emergency Department Data Collection registry data (i.e. emergency department presentations, pattern of re-presentations) for a transdiagnostic cohort of 7024 youths (aged 12-30 years) who presented to mental health services. Outcome measures were pattern of presentations and reason for presentations (i.e. mental illness; suicidal behaviours and self-harm; alcohol and substance use; accident and injury; physical illness; and other). RESULTS During the follow-up period, 5372 (76.5%) had at least one emergency department presentation. The presentation rate was lower for males (IRR = 0.87, 95% CI 0.86-0.89) and highest among those aged 18 to 24 (IRR = 1.117, 95% CI 1.086-1.148). Almost one-third (31.12%) had an emergency department presentation that was directly associated with mental illness or substance use, and the most common reasons for presentation were for physical illness and accident or injury. Index visits for mental illness or substance use were associated with a higher rate of re-presentation. CONCLUSIONS Most young people presenting to primary mental health services also utilised emergency services. The preventable and repeated nature of many presentations suggests that reducing the ongoing secondary risks of mental disorders (i.e. substance misuse, suicidality, physical illness) could substantially improve the mental and physical health outcomes of young people.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Catherine McHugh
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Matthew Richards
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Adam Skinner
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ante Prodan
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia; and School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, New South Wales, Australia
| | - Jo-an Occhipinti
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; and Computer Simulation & Advanced Research Technologies, Sydney, New South Wales, Australia
| | | | - Simon Chiu
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | - Elizabeth Scott
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; and St Vincent's Private Hospital, Sydney, New South Wales, Australia
| | - Ian B. Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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9
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Iorfino F, Varidel M, Marchant R, Cripps S, Crouse J, Prodan A, Oliveria R, Carpenter JS, Hermens DF, Guastella A, Scott E, Shah J, Merikangas K, Scott J, Hickie IB. The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis. Epidemiol Psychiatr Sci 2023; 32:e56. [PMID: 37680185 PMCID: PMC10539737 DOI: 10.1017/s2045796023000616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 06/13/2023] [Accepted: 06/26/2023] [Indexed: 09/09/2023] Open
Abstract
AIMS The needs of young people attending mental healthcare can be complex and often span multiple domains (e.g., social, emotional and physical health factors). These factors often complicate treatment approaches and contribute to poorer outcomes in youth mental health. We aimed to identify how these factors interact over time by modelling the temporal dependencies between these transdiagnostic social, emotional and physical health factors among young people presenting for youth mental healthcare. METHODS Dynamic Bayesian networks were used to examine the relationship between mental health factors across multiple domains (social and occupational function, self-harm and suicidality, alcohol and substance use, physical health and psychiatric syndromes) in a longitudinal cohort of 2663 young people accessing youth mental health services. Two networks were developed: (1) 'initial network', that shows the conditional dependencies between factors at first presentation, and a (2) 'transition network', how factors are dependent longitudinally. RESULTS The 'initial network' identified that childhood disorders tend to precede adolescent depression which itself was associated with three distinct pathways or illness trajectories; (1) anxiety disorder; (2) bipolar disorder, manic-like experiences, circadian disturbances and psychosis-like experiences; (3) self-harm and suicidality to alcohol and substance use or functioning. The 'transition network' identified that over time social and occupational function had the largest effect on self-harm and suicidality, with direct effects on ideation (relative risk [RR], 1.79; CI, 1.59-1.99) and self-harm (RR, 1.32; CI, 1.22-1.41), and an indirect effect on attempts (RR, 2.10; CI, 1.69-2.50). Suicide ideation had a direct effect on future suicide attempts (RR, 4.37; CI, 3.28-5.43) and self-harm (RR, 2.78; CI, 2.55-3.01). Alcohol and substance use, physical health and psychiatric syndromes (e.g., depression and anxiety, at-risk mental states) were independent domains whereby all direct effects remained within each domain over time. CONCLUSIONS This study identified probable temporal dependencies between domains, which has causal interpretations, and therefore can provide insight into their differential role over the course of illness. This work identified social, emotional and physical health factors that may be important early intervention and prevention targets. Improving social and occupational function may be a critical target due to its impacts longitudinally on self-harm and suicidality. The conditional independence of alcohol and substance use supports the need for specific interventions to target these comorbidities.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Roman Marchant
- Human Technology Institute, University of Technology, Sydney, NSW, Australia
- School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Sally Cripps
- Human Technology Institute, University of Technology, Sydney, NSW, Australia
- School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Jacob Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia
| | - Rafael Oliveria
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | | | - Daniel F. Hermens
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Adam Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Elizabeth Scott
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Kathleen Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
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10
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Chong MK, Hickie IB, Cross SP, McKenna S, Varidel M, Capon W, Davenport TA, LaMonica HM, Sawrikar V, Guastella A, Naismith SL, Scott EM, Iorfino F. Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study. JMIR Form Res 2023; 7:e45161. [PMID: 37682588 PMCID: PMC10517388 DOI: 10.2196/45161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 05/31/2023] [Accepted: 06/26/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND As the demand for youth mental health care continues to rise, managing wait times and reducing treatment delays are key challenges to delivering timely and quality care. Clinical staging is a heuristic model for youth mental health that can stratify care allocation according to individuals' risk of illness progression. The application of staging has been traditionally limited to trained clinicians yet leveraging digital technologies to apply clinical staging could increase the scalability and usability of this model in services. OBJECTIVE The aim of this study was to validate a digital algorithm to accurately differentiate young people at lower and higher risk of developing mental disorders. METHODS We conducted a study with a cohort comprising 131 young people, aged between 16 and 25 years, who presented to youth mental health services in Australia between November 2018 and March 2021. Expert psychiatrists independently assigned clinical stages (either stage 1a or stage 1b+), which were then compared to the digital algorithm's allocation based on a multidimensional self-report questionnaire. RESULTS Of the 131 participants, the mean age was 20.3 (SD 2.4) years, and 72% (94/131) of them were female. Ninety-one percent of clinical stage ratings were concordant between the digital algorithm and the experts' ratings, with a substantial interrater agreement (κ=0.67; P<.001). The algorithm demonstrated an accuracy of 91% (95% CI 86%-95%; P=.03), a sensitivity of 80%, a specificity of 93%, and an F1-score of 73%. Of the concordant ratings, 16 young people were allocated to stage 1a, while 103 were assigned to stage 1b+. Among the 12 discordant cases, the digital algorithm allocated a lower stage (stage 1a) to 8 participants compared to the experts. These individuals had significantly milder symptoms of depression (P<.001) and anxiety (P<.001) compared to those with concordant stage 1b+ ratings. CONCLUSIONS This novel digital algorithm is sufficiently robust to be used as an adjunctive decision support tool to stratify care and assist with demand management in youth mental health services. This work could transform care pathways and expedite care allocation for those in the early stages of common anxiety and depressive disorders. Between 11% and 27% of young people seeking care may benefit from low-intensity, self-directed, or brief interventions. Findings from this study suggest the possibility of redirecting clinical capacity to focus on individuals in stage 1b+ for further assessment and intervention.
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Affiliation(s)
- Min K Chong
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | | | - Sarah McKenna
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Mathew Varidel
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - William Capon
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Tracey A Davenport
- Design and Strategy Division, Australian Digital Health Agency, Sydney, Australia
| | - Haley M LaMonica
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Vilas Sawrikar
- School of Health and Social Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam Guastella
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
- Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Sharon L Naismith
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
- Healthy Brain Ageing Program, University of Sydney, Sydney, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
- St Vincent's and Mater Clinical School, The University of Notre Dame, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
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11
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McKenna S, Piper S, Capon W, Crowley A, Lira L, LaMonica HM, Chong MK, Scott E, Hickie I, Iorfino F. The Polarization of Clinician and Service Staff Perspectives After the Use of Health Information Technology in Youth Mental Health Services: Implementation and Evaluation Study. JMIR Hum Factors 2023; 10:e42993. [PMID: 37490321 PMCID: PMC10410532 DOI: 10.2196/42993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/30/2023] [Accepted: 04/30/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Highly personalized care is substantially improved by technology platforms that assess and track patient outcomes. However, evidence regarding how to successfully implement technology in real-world mental health settings is limited. OBJECTIVE This study aimed to naturalistically monitor how a health information technology (HIT) platform was used within 2 real-world mental health service settings to gain practical insights into how HIT can be implemented and sustained to improve mental health service delivery. METHODS An HIT (The Innowell Platform) was naturally implemented in 2 youth mental health services in Sydney, Australia. Web-based surveys (n=19) and implementation logs were used to investigate staff attitudes toward technology before and after implementation. Descriptive statistics were used to track staff attitudes over time, whereas qualitative thematic analysis was used to explore implementation log data to gain practical insights into useful implementation strategies in real-world settings. RESULTS After the implementation, the staff were nearly 3 times more likely to agree that the HIT would improve care for their clients (3/12, 25% agreed before the implementation compared with 7/10, 70% after the implementation). Despite this, there was also an increase in the number of staff who disagreed that the HIT would improve care (from 1/12, 8% to 2/10, 20%). There was also decreased uncertainty (from 6/12, 50% to 3/10, 30%) about the willingness of the service to implement the technology for its intended purpose, with similar increases in the number of staff who agreed and disagreed with this statement. Staff were more likely to be uncertain about whether colleagues in my service are receptive to changes in clinical processes (not sure rose from 5/12, 42% to 7/10, 70%). They were also more likely to report that their service already provides the best mental health care (agreement rose from 7/12, 58% to 8/10, 80%). After the implementation, a greater proportion of participants reported that the HIT enabled shared or collaborative decision-making with young people (2/10, 20%, compared with 1/12, 8%), enabled clients to proactively work on their mental health care through digital technologies (3/10, 30%, compared with 2/12, 16%), and improved their response to suicidal risk (4/10, 40% compared with 3/12, 25%). CONCLUSIONS This study raises important questions about why clinicians, who have the same training and support in using technology, develop more polarized opinions on its usefulness after implementation. It seems that the uptake of HIT is heavily influenced by a clinician's underlying beliefs and attitudes toward clinical practice in general as well as the role of technology, rather than their knowledge or the ease of use of the HIT in question.
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Affiliation(s)
- Sarah McKenna
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Sarah Piper
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - William Capon
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | | | - Lucas Lira
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Haley M LaMonica
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Min Kyung Chong
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Elizabeth Scott
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Ian Hickie
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Frank Iorfino
- Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia
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12
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Hickie IB, Merikangas KR, Carpenter JS, Iorfino F, Scott EM, Scott J, Crouse JJ. Does circadian dysrhythmia drive the switch into high- or low-activation states in bipolar I disorder? Bipolar Disord 2023; 25:191-199. [PMID: 36661342 PMCID: PMC10947388 DOI: 10.1111/bdi.13304] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Emerging evidence suggests a role of circadian dysrhythmia in the switch between "activation" states (i.e., objective motor activity and subjective energy) in bipolar I disorder. METHODS We examined the evidence with respect to four relevant questions: (1) Are natural or environmental exposures that can disrupt circadian rhythms also related to the switch into high-/low-activation states? (2) Are circadian dysrhythmias (e.g., altered rest/activity rhythms) associated with the switch into activation states in bipolar disorder? (3) Do interventions that affect the circadian system also affect activation states? (4) Are associations between circadian dysrhythmias and activation states influenced by other "third" factors? RESULTS Factors that naturally or experimentally alter circadian rhythms (e.g., light exposure) have been shown to relate to activation states; however future studies need to measure circadian rhythms contemporaneously with these natural/experimental factors. Actigraphic measures of circadian dysrhythmias are associated prospectively with the switch into high- or low-activation states, and more studies are needed to establish the most relevant prognostic actigraphy metrics in bipolar disorder. Interventions that can affect the circadian system (e.g., light therapy, lithium) can also reduce the switch into high-/low-activation states. Whether circadian rhythms mediate these clinical effects is an unknown but valuable question. The influence of age, sex, and other confounders on these associations needs to be better characterised. CONCLUSION Based on the reviewed evidence, our view is that circadian dysrhythmia is a plausible driver of transitions into high- and low-activation states and deserves prioritisation in research in bipolar disorders.
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Affiliation(s)
- Ian B. Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Kathleen R. Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Joanne S. Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Frank Iorfino
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Elizabeth M. Scott
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK
- Norwegian University of Science and TechnologyTrondheimNorway
- Université de ParisParisFrance
| | - Jacob J. Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
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13
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McHugh CM, Iorfino F, Zmicerevska N, Song YJC, Skinner A, Scott EM, Hickie IB. Premature mortality in young people accessing early intervention youth mental healthcare: data-linkage cohort study. BJPsych Open 2023; 9:e76. [PMID: 37092680 PMCID: PMC10134286 DOI: 10.1192/bjo.2023.43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND Understanding premature mortality risk from suicide and other causes in youth mental health cohorts is essential for delivering effective clinical interventions and secondary prevention strategies. AIMS To establish premature mortality risk in young people accessing early intervention mental health services and identify predictors of mortality. METHOD State-wide data registers of emergency departments, hospital admissions and mortality were linked to the Brain and Mind Research Register, a longitudinal cohort of 7081 young people accessing early intervention care, between 2008 and 2020. Outcomes were mortality rates and age-standardised mortality ratios (SMR). Cox regression was used to identify predictors of all-cause mortality and deaths due to suicide or accident. RESULTS There were 60 deaths (male 63.3%) during the study period, 25 (42%) due to suicide, 19 (32%) from accident or injury and eight (13.3%) where cause was under investigation. All-cause SMR was 2.0 (95% CI 1.6-2.6) but higher for males (5.3, 95% CI 3.8-7.0). The mortality rate from suicide and accidental deaths was 101.56 per 100 000 person-years. Poisoning, whether intentional or accidental, was the single greatest primary cause of death (26.7%). Prior emergency department presentation for poisoning (hazard ratio (HR) 4.40, 95% CI 2.13-9.09) and psychiatric admission (HR 4.01, 95% CI 1.81-8.88) were the strongest predictors of mortality. CONCLUSION Premature mortality in young people accessing early intervention mental health services is greatly increased relative to population. Prior health service use and method of self-harm are useful predictors of future mortality. Enhanced care pathways following emergency department presentations should not be limited to those reporting suicidal ideation or intent.
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Affiliation(s)
- Catherine M McHugh
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia; and Discipline of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | | | | | - Adam Skinner
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia; and School of Medicine, University of Notre Dame Australia, Sydney, NSW, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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14
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Capon W, Hickie IB, McKenna S, Varidel M, Richards M, LaMonica HM, Rock D, Scott EM, Iorfino F. Characterising variability in youth mental health service populations: A detailed and scalable approach using digital technology. Australas Psychiatry 2023:10398562231167681. [PMID: 37035873 DOI: 10.1177/10398562231167681] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
OBJECTIVE This study utilised digital technology to assess the clinical needs of young people presenting for care at headspace centres across Australia. METHOD 1490 young people (12-25 years) who presented to one of 11 headspace services from four geographical locations (urban New South Wales, urban South Australia, regional New South Wales, and regional Queensland) completed a digital multidimensional assessment at initial presentation. Characteristics were compared between services and geographical locations. RESULTS We identified major variation in the demographics, and the type and severity of needs across different services. Individuals from regional services were more likely to be younger, of Aboriginal and Torres Strait Islander origin, and present with psychotic-like symptoms and suicidality, while those in urban areas were more likely to have previously sought help and have problematic alcohol use. Further differences in age, distress, depressive symptoms, psychotic-like experiences, trauma, family history, alcohol use, education/employment engagement, and days out of role were identified between different urban sites. CONCLUSIONS The variability between services provides insight into the heterogeneity of youth mental health populations which has implications for appropriate early intervention and prevention service provisions. We propose that integrating digital technologies has the potential to provide insights for smarter service planning and evaluation.
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Affiliation(s)
- William Capon
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Ian B Hickie
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Sarah McKenna
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Mathew Varidel
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Matthew Richards
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Haley M LaMonica
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Daniel Rock
- WA Primary Health Alliance, Subiaco, WA, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, 90098The University of Sydney, Camperdown, NSW, Australia
| | - Frank Iorfino
- Brain and Mind Centre, 4334The University of Sydney, Camperdown, NSW, Australia
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15
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McHugh CM, Ho N, Iorfino F, Crouse JJ, Nichles A, Zmicerevska N, Scott E, Glozier N, Hickie IB. Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study. Soc Psychiatry Psychiatr Epidemiol 2023:10.1007/s00127-022-02415-7. [PMID: 36854811 DOI: 10.1007/s00127-022-02415-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 12/21/2022] [Indexed: 03/02/2023]
Abstract
PURPOSE Machine learning (ML) has shown promise in modelling future self-harm but is yet to be applied to key questions facing clinical services. In a cohort of young people accessing primary mental health care, this study aimed to establish (1) the performance of models predicting deliberate self-harm (DSH) compared to suicide attempt (SA), (2) the performance of models predicting new-onset or repeat behaviour, and (3) the relative importance of factors predicting these outcomes. METHODS 802 young people aged 12-25 years attending primary mental health services had detailed social and clinical assessments at baseline and 509 completed 12-month follow-up. Four ML algorithms, as well as logistic regression, were applied to build four distinct models. RESULTS The mean performance of models predicting SA (AUC: 0.82) performed better than the models predicting DSH (AUC: 0.72), with mean positive predictive values (PPV) approximately twice that of the prevalence (SA prevalence 14%, PPV: 0.32, DSH prevalence 22%, PPV: 0.40). All ML models outperformed standard logistic regression. The most frequently selected variable in both models was a history of DSH via cutting. CONCLUSION History of DSH and clinical symptoms of common mental disorders, rather than social and demographic factors, were the most important variables in modelling future behaviour. The performance of models predicting outcomes in key sub-cohorts, those with new-onset or repetition of DSH or SA during follow-up, was poor. These findings may indicate that the performance of models of future DSH or SA may depend on knowledge of the individual's recent history of either behaviour.
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Affiliation(s)
- Catherine M McHugh
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia. .,Discipline of Psychiatry, University of New South Wales, Sydney, Australia.
| | - Nicholas Ho
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Alissa Nichles
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Elizabeth Scott
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia.,St Vincent's Hospital, Sydney, Australia.,School of Medicine, University of Notre Dame Australia, Sydney, Australia
| | - Nick Glozier
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia.,School of Psychiatry, University of Sydney, Sydney, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
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16
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Capon W, Hickie IB, Varidel M, Prodan A, Crouse JJ, Carpenter JS, Cross SP, Nichles A, Zmicerevska N, Guastella AJ, Scott EM, Scott J, Shah J, Iorfino F. Clinical staging and the differential risks for clinical and functional outcomes in young people presenting for youth mental health care. BMC Med 2022; 20:479. [PMID: 36514113 PMCID: PMC9749194 DOI: 10.1186/s12916-022-02666-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Clinical staging proposes that youth-onset mental disorders develop progressively, and that active treatment of earlier stages should prevent progression to more severe disorders. This retrospective cohort study examined the longitudinal relationships between clinical stages and multiple clinical and functional outcomes within the first 12 months of care. METHODS Demographic and clinical information of 2901 young people who accessed mental health care at age 12-25 years was collected at predetermined timepoints (baseline, 3 months, 6 months, 12 months). Initial clinical stage was used to define three fixed groups for analyses (stage 1a: 'non-specific anxious or depressive symptoms', 1b: 'attenuated mood or psychotic syndromes', 2+: 'full-threshold mood or psychotic syndromes'). Logistic regression models, which controlled for age and follow-up time, were used to compare clinical and functional outcomes (role and social function, suicidal ideation, alcohol and substance misuse, physical health comorbidity, circadian disturbances) between staging groups within the initial 12 months of care. RESULTS Of the entire cohort, 2093 young people aged 12-25 years were followed up at least once over the first 12 months of care, with 60.4% female and a baseline mean age of 18.16 years. Longitudinally, young people at stage 2+ were more likely to develop circadian disturbances (odds ratio [OR]=2.58; CI 1.60-4.17), compared with individuals at stage 1b. Additionally, stage 1b individuals were more likely to become disengaged from education/employment (OR=2.11, CI 1.36-3.28), develop suicidal ideations (OR=1.92; CI 1.30-2.84) and circadian disturbances (OR=1.94, CI 1.31-2.86), compared to stage 1a. By contrast, we found no relationship between clinical stage and the emergence of alcohol or substance misuse and physical comorbidity. CONCLUSIONS The differential rates of emergence of poor clinical and functional outcomes between early versus late clinical stages support the clinical staging model's assumptions about illness trajectories for mood and psychotic syndromes. The greater risk of progression to poor outcomes in those who present with more severe syndromes may be used to guide specific intervention packages.
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Affiliation(s)
- William Capon
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.,Translational Health Research Institute, Western Sydney University, Sydney, 2751, Australia.,School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, 2751, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Shane P Cross
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, 2109, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | | | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, H3A 0G4, Canada
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.
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17
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van Velzen LS, Dauvermann MR, Colic L, Villa LM, Savage HS, Toenders YJ, Zhu AH, Bright JK, Campos AI, Salminen LE, Ambrogi S, Ayesa-Arriola R, Banaj N, Başgöze Z, Bauer J, Blair K, Blair RJ, Brosch K, Cheng Y, Colle R, Connolly CG, Corruble E, Couvy-Duchesne B, Crespo-Facorro B, Cullen KR, Dannlowski U, Davey CG, Dohm K, Fullerton JM, Gonul AS, Gotlib IH, Grotegerd D, Hahn T, Harrison BJ, He M, Hickie IB, Ho TC, Iorfino F, Jansen A, Jollant F, Kircher T, Klimes-Dougan B, Klug M, Leehr EJ, Lippard ETC, McLaughlin KA, Meinert S, Miller AB, Mitchell PB, Mwangi B, Nenadić I, Ojha A, Overs BJ, Pfarr JK, Piras F, Ringwald KG, Roberts G, Romer G, Sanches M, Sheridan MA, Soares JC, Spalletta G, Stein F, Teresi GI, Tordesillas-Gutiérrez D, Uyar-Demir A, van der Wee NJA, van der Werff SJ, Vermeiren RRJM, Winter A, Wu MJ, Yang TT, Thompson PM, Rentería ME, Jahanshad N, Blumberg HP, van Harmelen AL, Schmaal L. Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium. Mol Psychiatry 2022; 27:4550-4560. [PMID: 36071108 PMCID: PMC9734039 DOI: 10.1038/s41380-022-01734-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 06/24/2022] [Accepted: 08/05/2022] [Indexed: 12/14/2022]
Abstract
Identifying brain alterations associated with suicidal thoughts and behaviors (STBs) in young people is critical to understanding their development and improving early intervention and prevention. The ENIGMA Suicidal Thoughts and Behaviours (ENIGMA-STB) consortium analyzed neuroimaging data harmonized across sites to examine brain morphology associated with STBs in youth. We performed analyses in three separate stages, in samples ranging from most to least homogeneous in terms of suicide assessment instrument and mental disorder. First, in a sample of 577 young people with mood disorders, in which STBs were assessed with the Columbia Suicide Severity Rating Scale (C-SSRS). Second, in a sample of young people with mood disorders, in which STB were assessed using different instruments, MRI metrics were compared among healthy controls without STBs (HC; N = 519), clinical controls with a mood disorder but without STBs (CC; N = 246) and young people with current suicidal ideation (N = 223). In separate analyses, MRI metrics were compared among HCs (N = 253), CCs (N = 217), and suicide attempters (N = 64). Third, in a larger transdiagnostic sample with various assessment instruments (HC = 606; CC = 419; Ideation = 289; HC = 253; CC = 432; Attempt=91). In the homogeneous C-SSRS sample, surface area of the frontal pole was lower in young people with mood disorders and a history of actual suicide attempts (N = 163) than those without a lifetime suicide attempt (N = 323; FDR-p = 0.035, Cohen's d = 0.34). No associations with suicidal ideation were found. When examining more heterogeneous samples, we did not observe significant associations. Lower frontal pole surface area may represent a vulnerability for a (non-interrupted and non-aborted) suicide attempt; however, more research is needed to understand the nature of its relationship to suicide risk.
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Grants
- UG3 MH111929 NIMH NIH HHS
- R37 MH101495 NIMH NIH HHS
- R01 MH103291 NIMH NIH HHS
- P41 RR008079 NCRR NIH HHS
- UL1 TR001872 NCATS NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R61 MH111929 NIMH NIH HHS
- RC1 MH088366 NIMH NIH HHS
- R01 MH117601 NIMH NIH HHS
- K23 MH090421 NIMH NIH HHS
- R21 AA027884 NIAAA NIH HHS
- K01 MH106805 NIMH NIH HHS
- R61 AT009864 NCCIH NIH HHS
- R01 MH069747 NIMH NIH HHS
- K01 AA027573 NIAAA NIH HHS
- R01 MH070902 NIMH NIH HHS
- K01 MH117442 NIMH NIH HHS
- R01 MH085734 NIMH NIH HHS
- R21 AT009173 NCCIH NIH HHS
- MQ Brighter Futures Award MQBFC/2 and the U.S. National Institute of Mental Health under Award Number R01MH117601. National Suicide Prevention Research Fund, managed by Suicide Prevention Australia
- MQ Brighter Futures Award MQBFC/2. Interdisziplinäres Zentrum für Klinische Forschung, UKJ
- Italian Ministry of Health grant RC17-18-19-20-21/A
- Instituto de Salud Carlos III through the projects PI14/00639, PI14/00918 and PI17/01056 (Co-funded by European Regional Development Fund/European Social Fund "Investing in your future") and Fundación Instituto de Investigación Marqués de Valdecilla (NCT0235832 and NCT02534363)
- National Institute of Mental Health (K23MH090421), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, the Minnesota Medical Foundation, and the Biotechnology Research Center (P41 RR008079 to the Center for Magnetic Resonance Research), University of Minnesota, and the Deborah E. Powell Center for Women’s Health Seed Grant, University of Minnesota
- Medical Leader Foundation of Yunnan Province (L2019011) and Famous Doctors Project of Yunnan Province Plan (YNWR-MY-2018-041)
- CJ Martin Fellowship (NHMRC app 1161356). “Investissements d’avenir” ANR-10-IAIHU-06
- German Research Foundation (DFG, grant FOR2107-DA1151/5-1 and DA1151/5-2 to UD, and DFG grants HA7070/2-2, HA7070/3, HA7070/4 to TH)
- Australian National Health and Medical Research Council of Australia (NHMRC) Project Grants 1024570 NHMRC Career Development Fellowships (1061757)
- Medical Faculty Münster, Innovative Medizinische Forschung (Grant IMF KO 1218 06)
- Australian National Medical and Health Research Council (Program Grant 1037196 and Investigator Grant 1177991 to PBM, Project Grant 1066177 to JMF), the Lansdowne Foundation, Good Talk and the Keith Pettigrew Family Bequest (PM) Janette Mary O’Neil Research Fellowship. IHG is supported in part by R37MH101495
- Australian National Health and Medical Research Council of Australia (NHMRC) Project Grants 1064643 (principal investigator, BJH) NHMRC Career Development Fellowships (1124472)
- National Institute of Mental Health (K01MH106805). Klingenstein Third Generation Foundation, the National Institute of Mental Health (K01MH117442), the Stanford Maternal Child Health Research Institute, and the Stanford Center for Cognitive and Neurobiological Imaging. TCH receives partial support from the Ray and Dagmar Dolby Family Fund
- German Research Foundation (DFG, grant FOR2107-JA 1890/7-1 and JA 1890/7-2 to AJ, and DFG, grant FOR2107-KI588/14-1 and FOR2107-KI588/14-2 to TK)
- NIAAA (K01AA027573, R21AA027884) and the American Foundation for Suicide Prevention
- National Institute of Mental Health (R01-MH103291)
- National Center for Complementary and Integrative Health (NCCIH) R21AT009173 and R61AT009864 National Center for Advancing Translational Sciences (CTSI), National Institutes of Health, through UCSF-CTSI UL1TR001872 American Foundation for Suicide Prevention (AFSP) SRG-1-141-18 UCSF Research Evaluation and Allocation Committee (REAC) and J. Jacobson Fund to TTY; by the National Institute of Mental Health (NIMH) R01MH085734 and the Brain and Behavior Research Foundation (formerly NARSAD)
- MQ Brighter Futures Award MQBFC/2 R61MH111929RC1MH088366, R01MH070902, R01MH069747, American Foundation for Suicide Prevention, International Bipolar Foundation, Brain and Behavior Research Foundation, For the Love of Travis Foundation and Women’s Health Research at Yale
- MQ Brighter Futures Award MQBFC/2 Social Safety and Resilience programme of Leiden University
- MQ Brighter Futures Award MQBFC/2 National Institute of Mental Health under Award Number R01MH117601 NHMRC Career Development Fellowship (1140764)
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Affiliation(s)
- Laura S van Velzen
- Orygen, Parkville, VIC, Australia.
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Maria R Dauvermann
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Lejla Colic
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
| | - Luca M Villa
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Hannah S Savage
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Yara J Toenders
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Alyssa H Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Joanna K Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Adrián I Campos
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia
| | - Lauren E Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Sevilla, Spain
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Zeynep Başgöze
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jochen Bauer
- University Clinic for Radiology, University of Münster, Münster, Germany
| | - Karina Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Robert James Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical College, Kunming, China
- Yunnan Province Clinical Research Center for Psychiatry, Kunming, China
| | - Romain Colle
- MOODS Team, CESP, INSERM U1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, 94275, France
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Colm G Connolly
- Department of Biomedical Sciences, Florida State University, Tallahassee, FL, USA
| | - Emmanuelle Corruble
- MOODS Team, CESP, INSERM U1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, 94275, France
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Baptiste Couvy-Duchesne
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia
- Paris Brain Institute (ICM), Inserm (U1127), CNRS (UMR 7225), Sorbonne University, Inria Paris (Aramis project-team), Paris, France
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Sevilla, Spain
- Virgen del Rocío University Hospital, IBiS, CSIC, University of Sevilla, Sevilla, Spain
| | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Christopher G Davey
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Kensington, NSW, Australia
| | - Ali Saffet Gonul
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, Izmir, Turkey
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical College, Kunming, China
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Tiffany C Ho
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
- Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Fabrice Jollant
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- MOODS Team, CESP, INSERM U1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, 94275, France
- Université de Paris & GHU Paris Psychiatrie et Neurosciences, Paris, France
- McGill University, Department of Psychiatry, Montréal, QC, Canada
- Academic Hospital (CHU), Nîmes, France
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | | | - Melissa Klug
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elizabeth T C Lippard
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Institute of Early Life Adversity Research, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for Neuroscience, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | | | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Adam Bryant Miller
- Mental Health Risk and Resilience Research Program, RTI International, Research Triangle Park, NC, USA
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Kensington, NSW, Australia
| | - Benson Mwangi
- Center Of Excellence On Mood Disorders, The University of Texas-Health Science Center at Houston, Houston, TX, USA
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas - Health Science Center at Houston, Houston, TX, USA
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | - Amar Ojha
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Kensington, NSW, Australia
| | - Georg Romer
- Department of Child & Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Marsal Sanches
- Center Of Excellence On Mood Disorders, The University of Texas-Health Science Center at Houston, Houston, TX, USA
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas - Health Science Center at Houston, Houston, TX, USA
| | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jair C Soares
- Center Of Excellence On Mood Disorders, The University of Texas-Health Science Center at Houston, Houston, TX, USA
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas - Health Science Center at Houston, Houston, TX, USA
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Marburg University, Marburg, Germany
- CMBB, Marburg, Germany
| | - Giana I Teresi
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Diana Tordesillas-Gutiérrez
- Department of Radiology, IDIVAL, Marqués de Valdecilla University Hospital, Santander, Spain
- Advanced Computing and e-Science, Instituto de Física de Cantabria (UC-CSIC), Santander, Spain
| | - Aslihan Uyar-Demir
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, Izmir, Turkey
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Steven J van der Werff
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Leids Universitair Behandel- en Expertise Centrum, Leiden, The Netherlands
| | - Robert R J M Vermeiren
- Child and Adolescent Psychiatry Leiden University Medical Center, Leiden, The Netherlands
- Youz: Child and Adolescent Psychiatry, Leiden, The Netherlands
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Mon-Ju Wu
- Center Of Excellence On Mood Disorders, The University of Texas-Health Science Center at Houston, Houston, TX, USA
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas - Health Science Center at Houston, Houston, TX, USA
| | - Tony T Yang
- Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, UCSF, San Francisco, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Miguel E Rentería
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Anne-Laura van Harmelen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Social Security and Resilience Programme, Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Lianne Schmaal
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
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18
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Hermens DF, Jamieson D, Fitzpatrick L, Sacks DD, Iorfino F, Crouse JJ, Guastella AJ, Scott EM, Hickie IB, Lagopoulos J. Sex differences in fronto-limbic white matter tracts in youth with mood disorders. Psychiatry Clin Neurosci 2022; 76:481-489. [PMID: 35730893 DOI: 10.1111/pcn.13440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/22/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022]
Abstract
AIMS Patients with depression and bipolar disorder have previously been shown to have impaired white matter (WM) integrity compared with healthy controls. This study aimed to investigate potential sex differences that may provide further insight into the pathophysiology of these highly debilitating mood disorders. METHODS Participants aged 17 to 30 years (168 with depression [60% females], 107 with bipolar disorder [74% females], and 61 controls [64% females]) completed clinical assessment, self-report measures, and a neuropsychological assessment battery. Participants also underwent magnetic resonance imaging from which diffusion tensor imaging data were collected among five fronto-limbic WM tracts: cingulum bundle (cingulate gyrus and hippocampus subsections), fornix, stria terminalis, and the uncinate fasciculus. Mean fractional anisotropy (FA) scores were compared between groups using analyses of variance with sex and diagnosis as fixed factors. RESULTS Among the nine WM tracts analyzed, one revealed a significant interaction between sex and diagnosis, controlling for age. Male patients with bipolar disorder had significantly lower FA scores in the fornix compared with the other groups. Furthermore, partial correlations revealed a significant positive association between FA scores for the fornix and psychomotor speed. CONCLUSIONS Our findings suggest that males with bipolar disorder may be at increased risk of disruptions in WM integrity, especially in the fornix, which is thought to be responsible for a range of cognitive functions. More broadly, our findings suggest that sex differences may exist in WM integrity and thereby alter our understanding of the pathophysiology of mood disorders.
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Affiliation(s)
- Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Daniel Jamieson
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Lauren Fitzpatrick
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Dashiell D Sacks
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Frank Iorfino
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Elizabeth M Scott
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
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19
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Campos AI, Byrne EM, Iorfino F, Fabbri C, Hickie IB, Lewis CM, Wray NR, Medland SE, Rentería ME, Martin NG. Clinical, demographic, and genetic risk factors of treatment-attributed suicidality in >10,000 Australian adults taking antidepressants. Am J Med Genet B Neuropsychiatr Genet 2022; 189:196-206. [PMID: 35833543 PMCID: PMC9544797 DOI: 10.1002/ajmg.b.32913] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 04/07/2022] [Accepted: 06/28/2022] [Indexed: 11/09/2022]
Abstract
Emergence of suicidal symptoms has been reported as a potential antidepressant adverse drug reaction. Identifying risk factors associated could increase our understanding of this phenomenon and stratify individuals at higher risk. Logistic regressions were used to identify risk factors of self-reported treatment-attributed suicidal ideation (TASI). We then employed classifiers to test the predictive ability of the variables identified. A TASI GWAS, as well as SNP-based heritability estimation, were performed. GWAS replication was sought from an independent study. Significant associations were found for age and comorbid conditions, including bipolar and personality disorders. Participants reporting TASI from one antidepressant were more likely to report TASI from other antidepressants. No genetic loci associated with TAS I (p < 5e-8) were identified. Of 32 independent variants with suggestive association (p < 1e-5), 27 lead SNPs were available in a replication dataset from the GENDEP study. Only one variant showed a consistent effect and nominal association in the independent replication sample. Classifiers were able to stratify non-TASI from TASI participants (AUC = 0.77) and those reporting treatment-attributed suicide attempts (AUC = 0.85). The pattern of TASI co-occurrence across participants suggest nonspecific factors underlying its etiology. These findings provide insights into the underpinnings of TASI and serve as a proof-of-concept of the use of classifiers for risk stratification.
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Affiliation(s)
- Adrian I. Campos
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia,School of Biomedical Sciences, Faculty of MedicineThe University of QueenslandBrisbaneQueenslandAustralia,Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia
| | - Enda M. Byrne
- Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia,Child Health Research CentreThe University of QueenslandBrisbaneQueenslandAustralia
| | - Frank Iorfino
- Brain and Mind CentreThe University of SydneyCamperdownNew South WalesAustralia
| | - Chiara Fabbri
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK,Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
| | - Ian B. Hickie
- Brain and Mind CentreThe University of SydneyCamperdownNew South WalesAustralia
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Naomi R. Wray
- Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia,Queensland Brain InstituteThe University of QueenslandBrisbaneQueenslandAustralia
| | - Sarah E. Medland
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Miguel E. Rentería
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia,School of Biomedical Sciences, Faculty of MedicineThe University of QueenslandBrisbaneQueenslandAustralia
| | - Nicholas G. Martin
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
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20
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Iorfino F, Scott EM, Hickie IB. Social and occupational outcomes for young people who attend early intervention mental health services: a longitudinal study. Med J Aust 2022; 217:218. [DOI: 10.5694/mja2.51653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/11/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre University of Sydney Sydney NSW Australia
| | | | - Ian B Hickie
- Brain and Mind Centre University of Sydney Sydney NSW Australia
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21
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Burton AL, Hamilton B, Iorfino F, La Monica HM, Scott EM, Hickie IB. Examining the prevalence of disordered eating in a cohort of young Australians presenting for mental health care at a headspace centre: results from a cross-sectional clinical survey study. BMJ Open 2022; 12:e061734. [PMID: 35948386 PMCID: PMC9379483 DOI: 10.1136/bmjopen-2022-061734] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES The aim of this study was to determine the prevalence of disordered eating in young people attending a headspace centre, an enhanced primary care centre providing early intervention services for mental health disorders for young people aged 12-25 years, in metropolitan Sydney. DESIGN Cross-sectional assessment of disordered eating symptoms and behaviours. SETTING An enhanced primary care youth mental health service in inner urban Sydney, Australia. PARTICIPANTS A sequential cohort of 530 young people aged 14-26 years presenting to headspace Camperdown for support with mental health concerns. OUTCOME MEASURES Participants completed a series of questionnaires online which included items assessing the presence of eating disorder symptoms and behaviours. RESULTS Over one-third of young people aged 14-26 years presenting to headspace Camperdown in a 22-month period reported symptoms of disordered eating. Of these, 32% endorsed overeating behaviours, 25% endorsed dietary restriction and 8% reported purging behaviours. In total, 44% reported engaging in one of more of these behaviours on a regular basis. Almost half reported experiencing significant shape and weight concerns. Eating disorder behaviours were particularly prevalent among female and gender-diverse participants (48% of females and 46% of gender-diverse participants compared with 35% of males) and overall scores across all of the eating disorder and body image items assessed were significantly higher for female participants compared with males. CONCLUSIONS Disordered eating behaviours and symptoms are common among those presenting to youth mental health primary care services. Proactive screening for these behaviours presents opportunities for early detection and specific interventions. TRIAL REGISTRATION NUMBER ACTRN12618001676202; Results.
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Affiliation(s)
- Amy Leigh Burton
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Graduate School of Health, University of Technology Sydney Faculty of Health, Sydney, New South Wales, Australia
| | - Blake Hamilton
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Frank Iorfino
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Haley M La Monica
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Elizabeth M Scott
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Ian B Hickie
- The Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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22
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Carpenter JS, Scott J, Iorfino F, Crouse JJ, Ho N, Hermens DF, Cross SPM, Naismith SL, Guastella AJ, Scott EM, Hickie IB. Predicting the emergence of full-threshold bipolar I, bipolar II and psychotic disorders in young people presenting to early intervention mental health services. Psychol Med 2022; 52:1990-2000. [PMID: 33121545 DOI: 10.1017/s0033291720003840] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Predictors of new-onset bipolar disorder (BD) or psychotic disorder (PD) have been proposed on the basis of retrospective or prospective studies of 'at-risk' cohorts. Few studies have compared concurrently or longitudinally factors associated with the onset of BD or PDs in youth presenting to early intervention services. We aimed to identify clinical predictors of the onset of full-threshold (FT) BD or PD in this population. METHOD Multi-state Markov modelling was used to assess the relationships between baseline characteristics and the likelihood of the onset of FT BD or PD in youth (aged 12-30) presenting to mental health services. RESULTS Of 2330 individuals assessed longitudinally, 4.3% (n = 100) met criteria for new-onset FT BD and 2.2% (n = 51) met criteria for a new-onset FT PD. The emergence of FT BD was associated with older age, lower social and occupational functioning, mania-like experiences (MLE), suicide attempts, reduced incidence of physical illness, childhood-onset depression, and childhood-onset anxiety. The emergence of a PD was associated with older age, male sex, psychosis-like experiences (PLE), suicide attempts, stimulant use, and childhood-onset depression. CONCLUSIONS Identifying risk factors for the onset of either BD or PDs in young people presenting to early intervention services is assisted not only by the increased focus on MLE and PLE, but also by recognising the predictive significance of poorer social function, childhood-onset anxiety and mood disorders, and suicide attempts prior to the time of entry to services. Secondary prevention may be enhanced by greater attention to those risk factors that are modifiable or shared by both illness trajectories.
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Affiliation(s)
- Joanne S Carpenter
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Jan Scott
- Department of Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, England
- Diderot University, Sorbonne City, Paris, France
| | - Frank Iorfino
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Jacob J Crouse
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Nicholas Ho
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Daniel F Hermens
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Shane P M Cross
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sharon L Naismith
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Elizabeth M Scott
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Medicine, University of Notre Dame, Sydney, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
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23
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Iorfino F, Scott EM, Hickie IB. Social and occupational outcomes for young people who attend early intervention mental health services. Med J Aust 2022; 216:265. [DOI: 10.5694/mja2.51425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 11/25/2021] [Accepted: 12/10/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre University of Sydney Sydney NSW
| | | | - Ian B Hickie
- Brain and Mind Centre University of Sydney Sydney NSW
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24
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LaMonica HM, Iorfino F, Lee GY, Piper S, Occhipinti JA, Davenport TA, Cross S, Milton A, Ospina-Pinillos L, Whittle L, Rowe SC, Dowling M, Stewart E, Ottavio A, Hockey S, Cheng VWS, Burns J, Scott EM, Hickie IB. Informing the Future of Integrated Digital and Clinical Mental Health Care: Synthesis of the Outcomes From Project Synergy. JMIR Ment Health 2022; 9:e33060. [PMID: 34974414 PMCID: PMC8943544 DOI: 10.2196/33060] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 12/14/2021] [Accepted: 12/30/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Globally, there are fundamental shortcomings in mental health care systems, including restricted access, siloed services, interventions that are poorly matched to service users' needs, underuse of personal outcome monitoring to track progress, exclusion of family and carers, and suboptimal experiences of care. Health information technologies (HITs) hold great potential to improve these aspects that underpin the enhanced quality of mental health care. OBJECTIVE Project Synergy aimed to co-design, implement, and evaluate novel HITs, as exemplified by the InnoWell Platform, to work with standard health care organizations. The goals were to deliver improved outcomes for specific populations under focus and support organizations to enact significant system-level reforms. METHODS Participating health care organizations included the following: Open Arms-Veterans & Families Counselling (in Sydney and Lismore, New South Wales [NSW]); NSW North Coast headspace centers for youth (Port Macquarie, Coffs Harbour, Grafton, Lismore, and Tweed Heads); the Butterfly Foundation's National Helpline for eating disorders; Kildare Road Medical Centre for enhanced primary care; and Connect to Wellbeing North Coast NSW (administered by Neami National), for population-based intake and assessment. Service users, families and carers, health professionals, and administrators of services across Australia were actively engaged in the configuration of the InnoWell Platform to meet service needs, identify barriers to and facilitators of quality mental health care, and highlight potentially the best points in the service pathway to integrate the InnoWell Platform. The locally configured InnoWell Platform was then implemented within the respective services. A mixed methods approach, including surveys, semistructured interviews, and workshops, was used to evaluate the impact of the InnoWell Platform. A participatory systems modeling approach involving co-design with local stakeholders was also undertaken to simulate the likely impact of the platform in combination with other services being considered for implementation within the North Coast Primary Health Network to explore resulting impacts on mental health outcomes, including suicide prevention. RESULTS Despite overwhelming support for integrating digital health solutions into mental health service settings and promising impacts of the platform simulated under idealized implementation conditions, our results emphasized that successful implementation is dependent on health professional and service readiness for change, leadership at the local service level, the appropriateness and responsiveness of the technology for the target end users, and, critically, funding models being available to support implementation. The key places of interoperability of digital solutions and a willingness to use technology to coordinate health care system use were also highlighted. CONCLUSIONS Although the COVID-19 pandemic has resulted in the widespread acceptance of very basic digital health solutions, Project Synergy highlights the critical need to support equity of access to HITs, provide funding for digital infrastructure and digital mental health care, and actively promote the use of technology-enabled, coordinated systems of care.
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Affiliation(s)
- Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Grace Yeeun Lee
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Sarah Piper
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Jo-An Occhipinti
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | | | - Shane Cross
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Alyssa Milton
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | | | - Lisa Whittle
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Shelley C Rowe
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Mitchell Dowling
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Elizabeth Stewart
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Antonia Ottavio
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia.,InnoWell Pty Ltd, Sydney, Australia
| | - Samuel Hockey
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | | | | | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
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25
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McHugh C, Song YJC, Zmicerevska N, Crouse J, Nichles A, Wilson C, Ho N, Iorfino F, Skinner A, Scott EM, Hickie IB. Premature mortality in early-intervention mental health services: a data linkage study protocol to examine mortality and morbidity outcomes in a cohort of help-seeking young people. BMJ Open 2022; 12:e054264. [PMID: 35190432 PMCID: PMC8860051 DOI: 10.1136/bmjopen-2021-054264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Understanding the risk of premature death from suicide, accident and injury and other physical health conditions in people seeking healthcare for mental disorders is essential for delivering targeted clinical interventions and secondary prevention strategies. It is not clear whether morbidity and mortality outcomes in hospital-based adult cohorts are applicable to young people presenting to early-intervention services. METHODS AND ANALYSIS The current data linkage project will establish the Brain and Mind Patient Research Register-Mortality and Morbidity (BPRR-M&M) database. The existing Brain and Mind Research Institute Patient Research Register (BPRR) is a cohort of 6743 young people who have accessed primary care-based early-intervention services; subsets of the BPRR contain rich longitudinal clinical, neurobiological, social and functional data. The BPRR will be linked with the routinely collected health data from emergency department (ED), hospital admission and mortality databases in New South Wales from January 2010 to November 2020. Mortality will be the primary outcome of interest, while hospital presentations will be a secondary outcome. The established BPRR-M&M database will be used to establish mortality rates and rates of ED presentations and hospital admissions. Survival analysis will determine how time to death or hospital presentation varies by identified social, demographic and clinical variables. Bayesian modelling will be used to identify predictors of these morbidity and mortality outcomes. ETHICS AND DISSEMINATION The study has been reviewed and approved by the human research ethics committee of the Sydney Local Health District (2019/ETH00469). All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals and scientific conference presentations.
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Affiliation(s)
- Catherine McHugh
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Jacob Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Chloe Wilson
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Adam Skinner
- The Sax Institute, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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26
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Iorfino F, Carpenter JS, Cross SP, Crouse J, Davenport TA, Hermens DF, Yee H, Nichles A, Zmicerevska N, Guastella A, Scott EM, Hickie IB. Social and occupational outcomes for young people who attend early intervention mental health services: a longitudinal study. Med J Aust 2021; 216:87-93. [PMID: 34664282 DOI: 10.5694/mja2.51308] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 07/08/2021] [Accepted: 07/13/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To identify trajectories of social and occupational functioning in young people during the two years after presenting for early intervention mental health care; to identify demographic and clinical factors that influence these trajectories. DESIGN Longitudinal, observational study of young people presenting for mental health care. SETTING Two primary care-based early intervention mental health services at the Brain and Mind Centre (University of Sydney), 1 June 2008 - 31 July 2018. PARTICIPANTS 1510 people aged 12-25 years who had presented with anxiety, mood, or psychotic disorders, for whom two years' follow-up data were available for analysis. MAIN OUTCOME MEASURES Latent class trajectories of social and occupational functioning based on growth mixture modelling of Social and Occupational Assessment Scale (SOFAS) scores. RESULTS We identified four trajectories of functioning during the first two years of care: deteriorating and volatile (733 participants, 49%); persistent impairment (237, 16%); stable good functioning (291, 19%); and improving, but late recurrence (249, 16%). The less favourable trajectories (deteriorating and volatile; persistent impairment) were associated with physical comorbidity, not being in education, employment, or training, having substance-related disorders, having been hospitalised, and having a childhood onset mental disorder, psychosis-like experiences, or a history of self-harm or suicidality. CONCLUSIONS Two in three young people with emerging mental disorders did not experience meaningful improvement in social and occupational functioning during two years of early intervention care. Most functional trajectories were also quite volatile, indicating the need for dynamic service models that emphasise multidisciplinary interventions and measurement-based care.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | | | - Shane Pm Cross
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | - Jacob Crouse
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | | | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - Hannah Yee
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | - Alissa Nichles
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | | | - Adam Guastella
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
| | | | - Ian B Hickie
- Brain and Mind Centre, the University of Sydney, Sydney, NSW
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27
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Iorfino F, Cheng VWS, Cross SP, Yee HF, Davenport TA, Scott EM, Hickie IB. Right Care, First Time: Developing a Theory-Based Automated Protocol to Help Clinically Stage Young People Based on Severity and Persistence of Mental Illness. Front Public Health 2021; 9:621862. [PMID: 34513775 PMCID: PMC8429786 DOI: 10.3389/fpubh.2021.621862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 07/31/2021] [Indexed: 11/21/2022] Open
Abstract
Most mental disorders emerge before the age of 25 years and, if left untreated, have the potential to lead to considerable lifetime burden of disease. Many services struggle to manage high demand and have difficulty matching individuals to timely interventions due to the heterogeneity of disorders. The technological implementation of clinical staging for youth mental health may assist the early detection and treatment of mental disorders. We describe the development of a theory-based automated protocol to facilitate the initial clinical staging process, its intended use, and strategies for protocol validation and refinement. The automated clinical staging protocol leverages the clinical validation and evidence base of the staging model to improve its standardization, scalability, and utility by deploying it using Health Information Technologies (HIT). Its use has the potential to enhance clinical decision-making and transform existing care pathways, but further validation and evaluation of the tool in real-world settings is needed.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | | | - Shane P Cross
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Hannah F Yee
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | | | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
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28
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Iorfino F, Occhipinti JA, Skinner A, Davenport T, Rowe S, Prodan A, Sturgess J, Hickie IB. The Impact of Technology-Enabled Care Coordination in a Complex Mental Health System: A Local System Dynamics Model. J Med Internet Res 2021; 23:e25331. [PMID: 34077384 PMCID: PMC8274674 DOI: 10.2196/25331] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/20/2020] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
Background Prior to the COVID-19 pandemic, major shortcomings in the way mental health care systems were organized were impairing the delivery of effective care. The mental health impacts of the pandemic, the recession, and the resulting social dislocation will depend on the extent to which care systems will become overwhelmed and on the strategic investments made across the system to effectively respond. Objective This study aimed to explore the impact of strengthening the mental health system through technology-enabled care coordination on mental health and suicide outcomes. Methods A system dynamics model for the regional population catchment of North Coast New South Wales, Australia, was developed that incorporated defined pathways from social determinants of mental health to psychological distress, mental health care, and suicidal behavior. The model reproduced historic time series data across a range of outcomes and was used to evaluate the relative impact of a set of scenarios on attempted suicide (ie, self-harm hospitalizations), suicide deaths, mental health–related emergency department (ED) presentations, and psychological distress over the period from 2021 to 2030. These scenarios include (1) business as usual, (2) increase in service capacity growth rate by 20%, (3) standard telehealth, and (4) technology-enabled care coordination. Each scenario was tested using both pre– and post–COVID-19 social and economic conditions. Results Technology-enabled care coordination was forecast to deliver a reduction in self-harm hospitalizations and suicide deaths by 6.71% (95% interval 5.63%-7.87%), mental health–related ED presentations by 10.33% (95% interval 8.58%-12.19%), and the prevalence of high psychological distress by 1.76 percentage points (95% interval 1.35-2.32 percentage points). Scenario testing demonstrated that increasing service capacity growth rate by 20% or standard telehealth had substantially lower impacts. This pattern of results was replicated under post–COVID-19 conditions with technology-enabled care coordination being the only tested scenario, which was forecast to reduce the negative impact of the pandemic on mental health and suicide. Conclusions The use of technology-enabled care coordination is likely to improve mental health and suicide outcomes. The substantially lower effectiveness of targeting individual components of the mental health system (ie, increasing service capacity growth rate by 20% or standard telehealth) reiterates that strengthening the whole system has the greatest impact on patient outcomes. Investments into more of the same types of programs and services alone will not be enough to improve outcomes; instead, new models of care and the digital infrastructure to support them and their integration are needed.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | | | - Adam Skinner
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | | | - Shelley Rowe
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Ante Prodan
- Translational Health Research Institute, Western Sydney University, Sydney, Australia
| | - Julie Sturgess
- North Coast Primary Health Network, Coffs Harbour, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
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29
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Nichles A, Zmicerevska N, Song YJC, Wilson C, McHugh C, Hamilton B, Crouse J, Rohleder C, Carpenter JS, Ho N, Hermens DF, Wray N, Scott J, Merikangas KR, Leweke FM, Koethe D, Iorfino F, Naismith SL, Guastella AJ, Scott EM, Hickie IB. Neurobiology Youth Follow-up Study: protocol to establish a longitudinal and prospective research database using multimodal assessments for current and past mental health treatment-seeking young people within an early intervention service. BMJ Open 2021; 11:e044731. [PMID: 34145010 PMCID: PMC8215251 DOI: 10.1136/bmjopen-2020-044731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Approximately 75% of major mental illness occurs before the age of 25 years. Despite this, our capacity to provide effective, early and personalised interventions is limited by insufficient evidence for characterising early-stage, and less specific, presentations of major mental disorders in youth populations. This article describes the protocol for setting up a large-scale database that will collect longitudinal, prospective data that incorporate clinical, social and occupational function, neuropsychological, circadian, metabolic, family history and genetic metrics. By collecting data in a research-purposed, standardised manner, the 'Neurobiology Youth Follow-up Study' should improve identification, characterisation and profiling of youth attending mental healthcare, to better inform diagnosis and treatment at critical time points. The overall goal is enhanced long-term clinical and functional outcomes. METHODS AND ANALYSIS This longitudinal clinical cohort study will invite participation from youth (12-30 years) who seek help for mental health-related issues at an early intervention service (headspace Camperdown) and linked services. Participants will be prospectively tracked over 3 years with a series of standardised multimodal assessments at baseline, 6, 12, 24 and 36 months. Evaluations will include: (1) clinician-administered and self-report assessments determining clinical stage, pathophysiological pathways to illness, diagnosis, symptomatology, social and occupational function; (2) neuropsychological profile; (3) sleep-wake patterns and circadian rhythms; (4) metabolic markers and (5) genetics. These data will be used to: (1) model the impact of demographic, phenomenological and treatment variables, on clinical and functional outcomes; (2) map neurobiological profiles and changes onto a transdiagnostic clinical stage and pathophysiological mechanisms framework. ETHICS AND DISSEMINATION This study protocol has been approved by the Human Research Ethics Committee of the Sydney Local Health District (2020/ETH01272, protocol V.1.3, 14 October 2020). Research findings will be disseminated through peer-reviewed journals and presentations at scientific conferences and to user and advocacy groups. Participant data will be de-identified.
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Affiliation(s)
- Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Chloe Wilson
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Catherine McHugh
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Blake Hamilton
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Jacob Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, Queensland, Australia
| | - Naomi Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Bethesda, Maryland, USA
| | - F Markus Leweke
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Sharon L Naismith
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- School of Medicine, The University of Notre Dame Sydney Campus, Darlinghurst, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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Scott J, Crouse JJ, Ho N, Iorfino F, Martin N, Parker R, McGrath J, Gillespie NA, Medland S, Hickie IB. Early expressions of psychopathology and risk associated with trans-diagnostic transition to mood and psychotic disorders in adolescents and young adults. PLoS One 2021; 16:e0252550. [PMID: 34086749 PMCID: PMC8177455 DOI: 10.1371/journal.pone.0252550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 05/17/2021] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES The heterogeneity and comorbidity of major mental disorders presenting in adolescents and young adults has fostered calls for trans-diagnostic research. This study examines early expressions of psychopathology and risk and trans-diagnostic caseness in a community cohort of twins and non-twin siblings. METHODS Using data from the Brisbane Longitudinal Twin Study, we estimated median number of self-rated psychiatric symptoms, prevalence of subthreshold syndromes, family history of mood and/or psychotic disorders, and likelihood of subsequent trans-diagnostic caseness (individuals meeting diagnostic criteria for mood and/or psychotic syndromes). Next, we used cross-validated Chi-Square Automatic Interaction Detector (CHAID) analyses to identify the nature and relative importance of individual self-rated symptoms that predicted trans-diagnostic caseness. We examined the positive and negative predictive values (PPV; NPV) and accuracy of all classifications (Area under the Curve and 95% confidence intervals: AUC; 95% CI). RESULTS Of 1815 participants (Female 1050, 58%; mean age 26.40), more than one in four met caseness criteria for a mood and/or psychotic disorder. Examination of individual factors indicated that the AUC was highest for subthreshold syndromes, followed by family history then self-rated psychiatric symptoms, and that NPV always exceeded PPV for caseness. In contrast, the CHAID analysis (adjusted for age, sex, twin status) generated a classification tree comprising six trans-diagnostic symptoms. Whilst the contribution of two symptoms (need for sleep; physical activity) to the model was more difficult to interpret, CHAID analysis indicated that four self-rated symptoms (sadness; feeling overwhelmed; impaired concentration; paranoia) offered the best discrimination between cases and non-cases. These four symptoms showed different associations with family history status. CONCLUSIONS The findings need replication in independent cohorts. However, the use of CHAID might provide a means of identifying specific subsets of trans-diagnostic symptoms representing clinical phenotypes that predict transition to caseness in individuals at risk of onset of major mental disorders.
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Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
- * E-mail:
| | - Jacob J. Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Richard Parker
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - John McGrath
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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Sawrikar V, Stewart E, LaMonica HM, Iorfino F, Davenport TA, Cross S, Scott E, Naismith SL, Mowszowski L, Guastella A, Hickie IB. Using Staged Care to Provide "Right Care First Time" to People With Common Affective Disorders. Psychiatr Serv 2021; 72:691-703. [PMID: 33765863 DOI: 10.1176/appi.ps.202000145] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
An ongoing need exists for innovation in service delivery to ensure that mental health services deliver high-quality treatment and prevention in the population. This Special Article proposes the adoption of "staged care" as a population health-oriented service delivery model for packages of specialized services delivered largely in ambulatory care settings for individuals with common affective disorders. Staged care integrates measures of clinical need alongside clinical stage and personal choice to select hierarchically arranged service packages for individuals. Packages then vary according to the intensity, duration, and mix of treatment options. This Special Article describes five levels of care in staged care: self- or family-directed monitoring and management, low-intensity services, moderate-intensity services, high-intensity services, and acute and specialist community mental health services. The care environment, treatment team, and length of treatment are also described, and provisional criteria are specified for assigning individuals to different care levels on the basis of current clinical need and clinical stage. Staged care is presented as a model that guides treatment selection and health service delivery to ensure that the high-quality care aims of "right care first time" and prevention are achieved and optimal use of available resources is considered.
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Affiliation(s)
- Vilas Sawrikar
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Elizabeth Stewart
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Haley M LaMonica
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Tracey A Davenport
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Shane Cross
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Elizabeth Scott
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Sharon L Naismith
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Loren Mowszowski
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Adam Guastella
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia (Sawrikar, Stewart, LaMonica, Iorfino, Davenport, Cross, Naismith, Mowszowski, Guastella, Hickie); School of Health in Social Science, University of Edinburgh, Edinburgh (Sawrikar); School of Medicine, University of Notre Dame Australia, Sydney (Scott)
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Piper S, Davenport TA, LaMonica H, Ottavio A, Iorfino F, Cheng VWS, Cross S, Lee GY, Scott E, Hickie IB. Implementing a digital health model of care in Australian youth mental health services: protocol for impact evaluation. BMC Health Serv Res 2021; 21:452. [PMID: 33980229 PMCID: PMC8113792 DOI: 10.1186/s12913-021-06394-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 04/14/2021] [Indexed: 01/15/2023] Open
Abstract
Background The World Economic Forum has recently highlighted substantial problems in mental health service provision and called for the rapid deployment of smarter, digitally-enhanced health services as a means to facilitate effective care coordination and address issues of demand. In mental health, the biggest enabler of digital solutions is the implementation of an effective model of care that is facilitated by integrated health information technologies (HITs); the latter ensuring the solution is easily accessible, scalable and sustainable. The University of Sydney’s Brain and Mind Centre (BMC) has developed an innovative digital health solution – delivered through the Youth Mental Health and Technology Program – which incorporates two components: 1) a highly personalised and measurement-based (data-driven) model of youth mental health care; and 2) an industrial grade HIT registered on the Australian Register of Therapeutic Goods. This paper describes a research protocol to evaluate the impact of implementing the BMC’s digital health solution into youth mental health services (i.e. headspace - a highly accessible, youth-friendly integrated service that responds to the mental health, physical health, alcohol or other substance use, and vocational concerns of young people aged 12 to 25 years) within urban and regional areas of Australia. Methods The digital health solution will be implemented into participating headspace centres using a naturalistic research design. Quantitative and qualitative data will be collected from headspace health professionals, service managers and administrators, as well as from lead agency and local Primary Health Network (PHN) staff, via service audits, Implementation Officer logs, online surveys, and semi-structured interviews, at baseline and then three-monthly intervals over the course of 12 months. Discussion At the time of publication, six headspace centres had been recruited to this study and had commenced implementation and impact evaluation. The first results are expected to be submitted for publication in 2021. This study will focus on the impact of implementing a digital health solution at both a service and staff level, and will evaluate digital readiness of service and staff adoption; quality, usability and acceptability of the solution by staff; staff self-reported clinical competency; overall impact on headspace centres as well as their lead agencies and local PHNs; and social return on investment. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06394-4.
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Affiliation(s)
- Sarah Piper
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia.
| | - Tracey A Davenport
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Haley LaMonica
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Antonia Ottavio
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Frank Iorfino
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Vanessa Wan Sze Cheng
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Shane Cross
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Grace Yeeun Lee
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Elizabeth Scott
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
| | - Ian B Hickie
- The University of Sydney, Brain and Mind Centre, 94 Mallett St, Camperdown, Sydney, NSW, 2050, Australia
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Occhipinti JA, Skinner A, Iorfino F, Lawson K, Sturgess J, Burgess W, Davenport T, Hudson D, Hickie I. Reducing youth suicide: systems modelling and simulation to guide targeted investments across the determinants. BMC Med 2021; 19:61. [PMID: 33706764 PMCID: PMC7952221 DOI: 10.1186/s12916-021-01935-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 02/03/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Reducing suicidal behaviour (SB) is a critical public health issue globally. The complex interplay of social determinants, service system factors, population demographics, and behavioural dynamics makes it extraordinarily difficult for decision makers to determine the nature and balance of investments required to have the greatest impacts on SB. Real-world experimentation to establish the optimal targeting, timing, scale, frequency, and intensity of investments required across the determinants is unfeasible. Therefore, this study harnesses systems modelling and simulation to guide population-level decision making that represent best strategic allocation of limited resources. METHODS Using a participatory approach, and informed by a range of national, state, and local datasets, a system dynamics model was developed, tested, and validated for a regional population catchment. The model incorporated defined pathways from social determinants of mental health to psychological distress, mental health care, and SB. Intervention scenarios were investigated to forecast their impact on SB over a 20-year period. RESULTS A combination of social connectedness programs, technology-enabled coordinated care, post-attempt assertive aftercare, reductions in childhood adversity, and increasing youth employment projected the greatest impacts on SB, particularly in a youth population, reducing self-harm hospitalisations (suicide attempts) by 28.5% (95% interval 26.3-30.8%) and suicide deaths by 29.3% (95% interval 27.1-31.5%). Introducing additional interventions beyond the best performing suite of interventions produced only marginal improvement in population level impacts, highlighting that 'more is not necessarily better.' CONCLUSION Results indicate that targeted investments in addressing the social determinants and in mental health services provides the best opportunity to reduce SB and suicide. Systems modelling and simulation offers a robust approach to leveraging best available research, data, and expert knowledge in a way that helps decision makers respond to the unique characteristics and drivers of SB in their catchments and more effectively focus limited health resources.
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Affiliation(s)
- Jo-An Occhipinti
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.
- Computer Simulation & Advanced Research Technologies (CSART), Sydney, Australia.
- Menzies Centre for Health Policy, University of Sydney, Sydney, Australia.
- Translational Health Research Institute, Western Sydney University, Penrith, Australia.
| | - Adam Skinner
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
- Menzies Centre for Health Policy, University of Sydney, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Kenny Lawson
- Translational Health Research Institute, Western Sydney University, Penrith, Australia
- Hunter Medical Research Institute, Newcastle, Australia
| | | | | | - Tracey Davenport
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Danica Hudson
- North Coast Primary Health Network, Ballina, Australia
| | - Ian Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
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Crouse JJ, Carpenter JS, Iorfino F, Lin T, Ho N, Byrne EM, Henders AK, Wallace L, Hermens DF, Scott EM, Wray NR, Hickie IB. Schizophrenia polygenic risk scores in youth mental health: preliminary associations with diagnosis, clinical stage and functioning. BJPsych Open 2021; 7:e58. [PMID: 33612137 PMCID: PMC8058892 DOI: 10.1192/bjo.2021.14] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The schizophrenia polygenic risk score (SCZ-PRS) is an emerging tool in psychiatry. AIMS We aimed to evaluate the utility of SCZ-PRS in a young, transdiagnostic, clinical cohort. METHOD SCZ-PRSs were calculated for young people who presented to early-intervention youth mental health clinics, including 158 patients of European ancestry, 113 of whom had longitudinal outcome data. We examined associations between SCZ-PRS and diagnosis, clinical stage and functioning at initial assessment, and new-onset psychotic disorder, clinical stage transition and functional course over time in contact with services. RESULTS Compared with a control group, patients had elevated PRSs for schizophrenia, bipolar disorder and depression, but not for any non-psychiatric phenotype (for example cardiovascular disease). Higher SCZ-PRSs were elevated in participants with psychotic, bipolar, depressive, anxiety and other disorders. At initial assessment, overall SCZ-PRSs were associated with psychotic disorder (odds ratio (OR) per s.d. increase in SCZ-PRS was 1.68, 95% CI 1.08-2.59, P = 0.020), but not assignment as clinical stage 2+ (i.e. discrete, persistent or recurrent disorder) (OR = 0.90, 95% CI 0.64-1.26, P = 0.53) or functioning (R = 0.03, P = 0.76). Longitudinally, overall SCZ-PRSs were not significantly associated with new-onset psychotic disorder (OR = 0.84, 95% CI 0.34-2.03, P = 0.69), clinical stage transition (OR = 1.02, 95% CI 0.70-1.48, P = 0.92) or persistent functional impairment (OR = 0.84, 95% CI 0.52-1.38, P = 0.50). CONCLUSIONS In this preliminary study, SCZ-PRSs were associated with psychotic disorder at initial assessment in a young, transdiagnostic, clinical cohort accessing early-intervention services. Larger clinical studies are needed to further evaluate the clinical utility of SCZ-PRSs, especially among individuals with high SCZ-PRS burden.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Joanne S Carpenter
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Frank Iorfino
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Tian Lin
- Queensland Brain Institute, University of Queensland, Australia; and Institute of Molecular Bioscience, University of Queensland, Australia
| | - Nicholas Ho
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Enda M Byrne
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Anjali K Henders
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Leanne Wallace
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Daniel F Hermens
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Australia
| | - Elizabeth M Scott
- St Vincent's and Mater Clinical School, The University of Notre Dame, Australia
| | - Naomi R Wray
- Queensland Brain Institute, University of Queensland, Australia; and Institute of Molecular Bioscience, University of Queensland, Australia
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
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Iorfino F, Marangoni C, Cui L, Hermens DF, Hickie IB, Merikangas KR. Familial aggregation of anxiety disorder subtypes and anxious temperament in the NIMH Family Study of Affective Spectrum Disorders. J Affect Disord 2021; 281:751-758. [PMID: 33267979 DOI: 10.1016/j.jad.2020.11.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/30/2020] [Accepted: 11/08/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Evidence from family and twin studies suggests that mood and anxiety disorders, and related temperamental factors may share common etiologic factors. We examine the familial aggregation and coaggregation of anxiety disorder subtypes and anxiety-related temperamental traits, and their association with mood disorders. METHODS A total of 477 probands and 549 first-degree adult relatives from a large community based family study of affective spectrum disorders completed semi-structured diagnostic interviews and self-reported assessments of temperamental traits including: negative affectivity on the 'Positive and Negative Affect Schedule' (PANAS), neuroticism anxiety on the 'Zuckerman-Kuhlman Personality Questionnaire' (ZKPQ), and anxiety sensitivity on the 'Anxiety Sensitivity Index' (ASI). RESULTS The anxiety-related temperamental traits of negative affectivity, neuroticism anxiety and anxiety sensitivity had significant familial specificity, even after controlling for comorbid mood and anxiety disorders in probands and relatives. Yet, these traits in probands did not predict anxiety disorders in relatives. Although some anxiety subtypes were familial, there were no longer familial links between anxiety disorder subtypes (generalized anxiety disorder, social anxiety or panic disorder) after controlling for mood disorder subtypes in probands and relatives. LIMITATIONS Cross-sectional interviews were used to estimate disorders, and self-report measures were used for temperamental traits. CONCLUSIONS These results confirm previous research regarding familial overlap between anxiety subtypes and mood disorders, however their shared liability cannot be fully explained by anxiety-related temperamental traits. These findings suggest that anxiety-related temperamental traits may indicate a vulnerability for mood and anxiety disorders or a potential consequence of these conditions.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, University of Sydney, Australia.
| | - Ciro Marangoni
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Lihong Cui
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Australia; Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
| | - Kathleen Ries Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
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Sacks DD, Lagopoulos J, Hatton SN, Iorfino F, Carpenter JS, Crouse JJ, Naismith SL, Scott EM, Hickie IB, Hermens DF. White Matter Integrity According to the Stage of Mental Disorder in Youth. Psychiatry Res Neuroimaging 2021; 307:111218. [PMID: 33162289 DOI: 10.1016/j.pscychresns.2020.111218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 07/31/2020] [Accepted: 10/30/2020] [Indexed: 10/23/2022]
Abstract
The present study investigated differences in white matter (WM) integrity between 96 young people with affective and/or psychotic symptoms classified at an early stage of mental disorder (i.e. 'attenuated syndrome'; stage 1b), 85 young people classified at a more advanced stage of mental disorder (i.e. 'discrete disorder'; stage 2), and 81 demographically matched healthy controls using diffusion tensor imaging. The relationship between WM integrity (indexed by fractional anisotropy; FA) across the tracts and neuropsychological functioning was also investigated. A significant reduction in FA was identified in those with more advanced disorder in the body of the corpus callosum. Clinical stage groups were associated with significant neuropsychological impairment, which was significantly greater in those with discrete disorders. Compared to those in the earlier stage of disorder, participants at the later clinical stage showed decreased FA in the body of the corpus callosum that was associated with worse performance in attentional set formation maintenance, shifting and flexibility. These results provide further support for clinical staging of mental disorder and highlight the potential for utilising neuroanatomical biomarkers to support the classification of stages of mental disorder in the future.
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Affiliation(s)
- Dashiell D Sacks
- Thompson Institute, University of the Sunshine Coast, QLD, Australia.
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, QLD, Australia
| | - Sean N Hatton
- Department of Neuroscience, University of California, San Diego, CA, USA
| | - Frank Iorfino
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | | | - Jacob J Crouse
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | | | | | - Ian B Hickie
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, QLD, Australia
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LaMonica HM, Davenport TA, Ottavio A, Rowe SC, Cross SP, Iorfino F, Jackson TA, Easton MA, Melsness J, Hickie IB. Optimising the integration of technology-enabled solutions to enhance primary mental health care: a service mapping study. BMC Health Serv Res 2021; 21:68. [PMID: 33451328 PMCID: PMC7811218 DOI: 10.1186/s12913-021-06069-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 01/09/2021] [Indexed: 12/29/2022] Open
Abstract
Background Despite the widely acknowledged potential for health information technologies to improve the accessibility, quality and clinical safety of mental health care, implementation of such technologies in services is frequently unsuccessful due to varying consumer, health professional, and service-level factors. The objective of this co-design study was to use process mapping (i.e. service mapping) to illustrate the current consumer journey through primary mental health services, identify barriers to and facilitators of quality mental health care, and highlight potential points at which to integrate the technology-enabled solution to optimise the provision of care based on key service performance indicators. Methods Interactive, discussion-based workshops of up to six hours were conducted with representative stakeholders from each participating service, including health professionals, service managers and administrators from Open Arms – Veterans & Families Counselling Service (Sydney), a counselling service for veterans and their families, and five headspace centres in the North Coast Primary Health Network, primary youth mental health services. Service maps were drafted and refined in real time during the workshops. Through both group discussion and the use of post-it notes, participants worked together to evaluate performance indicators (e.g. safety) at each point in the consumer journey (e.g. intake) to indicate points of impact for the technology-enabled solution, reviewing and evaluating differing opinions in order to reach consensus. Results Participants (n=84 across participating services) created service maps illustrating the current consumer journey through the respective services and highlighting barriers to and facilitators of quality mental health care. By consensus, the technology-enabled solution as facilitated by the InnoWell Platform was noted to enable the early identification of risk, reduce or eliminate lengthy intake processes, enable routine outcome monitoring to revise treatment plans in relation to consumer response, and serve as a personal data record for consumers, driving person-centred, coordinated care. Conclusions Service mapping was shown to be an effective methodology to understand the consumer’s journey through a service and served to highlight how the co-designed technology-enabled solution can optimise service pathways to improve the accessibility, quality and clinical safety of care relative to key service performance indicators, facilitating the delivery of the right care. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06069-0.
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Affiliation(s)
- Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia.
| | - Tracey A Davenport
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Antonia Ottavio
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Shelley C Rowe
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Shane P Cross
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Tanya A Jackson
- InnoWell Pty Ltd, Shop 1-3/66-70 Parramatta Road, Camperdown, NSW, 2050, Australia
| | - Michael A Easton
- InnoWell Pty Ltd, Shop 1-3/66-70 Parramatta Road, Camperdown, NSW, 2050, Australia
| | - Jennifer Melsness
- InnoWell Pty Ltd, Shop 1-3/66-70 Parramatta Road, Camperdown, NSW, 2050, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, NSW, 2050, Australia
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Iorfino F, Piper SE, Prodan A, LaMonica HM, Davenport TA, Lee GY, Capon W, Scott EM, Occhipinti JA, Hickie IB. Using Digital Technologies to Facilitate Care Coordination Between Youth Mental Health Services: A Guide for Implementation. Front Health Serv 2021; 1:745456. [PMID: 36926493 PMCID: PMC10012639 DOI: 10.3389/frhs.2021.745456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/15/2021] [Indexed: 11/13/2022]
Abstract
Enhanced care coordination is essential to improving access to and navigation between youth mental health services. By facilitating better communication and coordination within and between youth mental health services, the goal is to guide young people quickly to the level of care they need and reduce instances of those receiving inappropriate care (too much or too little), or no care at all. Yet, it is often unclear how this goal can be achieved in a scalable way in local regions. We recommend using technology-enabled care coordination to facilitate streamlined transitions for young people across primary, secondary, more specialised or hospital-based care. First, we describe how technology-enabled care coordination could be achieved through two fundamental shifts in current service provisions; a model of care which puts the person at the centre of their care; and a technology infrastructure that facilitates this model. Second, we detail how dynamic simulation modelling can be used to rapidly test the operational features of implementation and the likely impacts of technology-enabled care coordination in a local service environment. Combined with traditional implementation research, dynamic simulation modelling can facilitate the transformation of real-world services. This work demonstrates the benefits of creating a smart health service infrastructure with embedded dynamic simulation modelling to improve operational efficiency and clinical outcomes through participatory and data driven health service planning.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Sarah E Piper
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.,School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia
| | - Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | | | - Grace Yeeun Lee
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - William Capon
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jo-An Occhipinti
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
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Davenport TA, Cheng VWS, Iorfino F, Hamilton B, Castaldi E, Burton A, Scott EM, Hickie IB. Flip the Clinic: A Digital Health Approach to Youth Mental Health Service Delivery During the COVID-19 Pandemic and Beyond. JMIR Ment Health 2020; 7:e24578. [PMID: 33206051 PMCID: PMC7744139 DOI: 10.2196/24578] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/30/2020] [Accepted: 11/14/2020] [Indexed: 12/12/2022] Open
Abstract
The demand for mental health services is projected to rapidly increase as a direct and indirect result of the COVID-19 pandemic. Given that young people are disproportionately disadvantaged by mental illness and will face further challenges related to the COVID-19 pandemic, it is crucial to deliver appropriate mental health care to young people as early as possible. Integrating digital health solutions into mental health service delivery pathways has the potential to greatly increase efficiencies, enabling the provision of "right care, first time." We propose an innovative digital health solution for demand management intended for use by primary youth mental health services, comprised of (1) a youth mental health model of care (ie, the Brain and Mind Centre Youth Model) and (2) a health information technology specifically designed to deliver this model of care (eg, the InnoWell Platform). We also propose an operational protocol of how this solution could be applied to primary youth mental health service delivery processes. By "flipping" the conventional service delivery models of majority in-clinic and minority web-delivered care to a model where web-delivered care is the default, this digital health solution offers a scalable way of delivering quality youth mental health care both in response to public health crises (such as the COVID-19 pandemic) and on an ongoing basis in the future.
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Affiliation(s)
| | | | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | | | | | | | | | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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Milton AC, Davenport TA, Iorfino F, Flego A, Burns JM, Hickie IB. Suicidal Thoughts and Behaviors and Their Associations With Transitional Life Events in Men and Women: Findings From an International Web-Based Sample. JMIR Ment Health 2020; 7:e18383. [PMID: 32915160 PMCID: PMC7519425 DOI: 10.2196/18383] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 05/05/2020] [Accepted: 06/12/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although numerous studies have demonstrated sex differences in the prevalence of suicidal thoughts and behaviors (STB), there is a clear lack of research examining the similarities and differences between men and women in terms of the relationship between STB, transitional life events, and the coping strategies employed after experiencing such events when they are perceived as stressful. OBJECTIVE This study aims to examine the differences between men's and women's experiences of STB, sociodemographic predictors of STB, and how coping responses after experiencing a stressful transitional life event predict STB. METHODS A web-based self-report survey was used to assess the health and well-being of a voluntary community-based sample of men and women aged 16 years and older, living in Australia, Canada, New Zealand, the United Kingdom, and the United States, who were recruited using web-based social media promotion and snowballing. RESULTS In total, 10,765 eligible web-based respondents participated. Compared with men, a significantly greater proportion of women reported STB (P<.001) and endorsed experiencing a transitional life event as stressful (P<.001). However, there were no gender differences in reporting that the transitional life event or events was stressful for those who also reported STB. Significant sociodemographic adjusted risk factors of STB included younger age; identifying as a sexual minority; lower subjective social connectedness; lower subjective intimate bonds; experiencing a stressful transitional life event in the past 12 months; living alone (women only); not being in employment, education, or training (women only); suddenly or unexpectedly losing a job (men only); and experiencing a relationship breakdown (men only). Protective factors included starting a new job, retiring, having a language background other than English, and becoming a parent for the first time (men only). The results relating to coping after experiencing a self-reported stressful transitional life event in the past 12 months found that regardless of sex, respondents who reported STB compared with those who did not were less likely to engage in activities that promote social connections, such as talking about their feelings (P<.001). Coping strategies significantly explained 19.0% of the STB variance for men (F16,1027=14.64; P<.001) and 22.0% for women (F16,1977=36.45; P<.001). CONCLUSIONS This research highlights multiple risk factors for STB, one of which includes experiencing at least one stressful transitional life event in the past 12 months. When individuals are experiencing such events, support from services and the community alike should consider using sex-specific or targeted strategies, as this research indicates that compared with women, more men do nothing when experiencing stress after a transitional life event and may be waiting until they experience STB to engage with their social networks for support.
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Affiliation(s)
| | | | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Anna Flego
- The Movember Foundation, Melbourne, Australia
| | - Jane M Burns
- Faculty of Health Sciences, The University of Sydney, Sydney, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
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Rohleder C, Song YJC, Crouse JJ, Davenport TA, Iorfino F, Hamilton B, Zmicerevska N, Nichles A, Carpenter JS, Tickell AM, Wilson C, Cross SP, Guastella AJ, Koethe D, Leweke FM, Scott EM, Hickie IB. Youth Mental Health Tracker: protocol to establish a longitudinal cohort and research database for young people attending Australian mental health services. BMJ Open 2020; 10:e035379. [PMID: 32513883 PMCID: PMC7282334 DOI: 10.1136/bmjopen-2019-035379] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 02/12/2020] [Accepted: 05/05/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Mental disorders are a leading cause of long-term disability worldwide. Much of the burden of mental ill-health is mediated by early onset, comorbidities with physical health conditions and chronicity of the illnesses. This study aims to track the early period of mental disorders among young people presenting to Australian mental health services to facilitate more streamlined transdiagnostic processes, highly personalised and measurement-based care, secondary prevention and enhanced long-term outcomes. METHODS AND ANALYSIS Recruitment to this large-scale, multisite, prospective, transdiagnostic, longitudinal clinical cohort study ('Youth Mental Health Tracker') will be offered to all young people between the ages of 12 and 30 years presenting to participating services with proficiency in English and no history of intellectual disability. Young people will be tracked over 3 years with standardised assessments at baseline and 3, 6, 12, 24 and 36 months. Assessments will include self-report and clinician-administered measures, covering five key domains including: (1) social and occupational function; (2) self-harm, suicidal thoughts and behaviour; (3) alcohol or other substance misuse; (4) physical health; and (5) illness type, clinical stage and trajectory. Data collection will be facilitated by the use of health information technology. The data will be used to: (1) determine prospectively the course of multidimensional functional outcomes, based on the differential impact of demographics, medication, psychological interventions and other key potentially modifiable moderator variables and (2) map pathophysiological mechanisms and clinical illness trajectories to determine transition rates of young people to more severe illness forms. ETHICS AND DISSEMINATION The study has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (2019/ETH00469). All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals and scientific conference presentations.
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Affiliation(s)
- Cathrin Rohleder
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Tracey A Davenport
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Blake Hamilton
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ashleigh M Tickell
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Chloe Wilson
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Adam J Guastella
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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Carpenter JS, Iorfino F, Cross S, Nichles A, Zmicerevska N, Crouse JJ, Palmer JR, Whitton AE, White D, Naismith SL, Guastella AJ, Hermens DF, Scott J, Scott EM, Hickie IB. Cohort profile: the Brain and Mind Centre Optymise cohort: tracking multidimensional outcomes in young people presenting for mental healthcare. BMJ Open 2020; 10:e030985. [PMID: 32229519 PMCID: PMC7170572 DOI: 10.1136/bmjopen-2019-030985] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
PURPOSE The Brain and Mind Centre (BMC) Optymise cohort assesses multiple clinical and functional domains longitudinally in young people presenting for mental health care and treatment. Longitudinal tracking of this cohort will allow investigation of the relationships between multiple outcome domains across the course of care. Subsets of Optymise have completed detailed neuropsychological and neurobiological assessments, permitting investigation of associations between these measures and longitudinal course. PARTICIPANTS Young people (aged 12-30) presenting to clinics coordinated by the BMC were recruited to a research register (n=6743) progressively between June 2008 and July 2018. To date, 2767 individuals have been included in Optymise based on the availability of at least one detailed clinical assessment. MEASURES Trained researchers use a clinical research proforma to extract key data from clinical files to detail social and occupational functioning, clinical presentation, self-harm and suicidal thoughts and behaviours, alcohol and other substance use, physical health comorbidities, personal and family history of mental illness, and treatment utilisation at the following time points: baseline, 3, 6, 12, 24, 36, 48, and 60 months, and time last seen. FINDINGS TO DATE There is moderate to substantial agreement between raters for data collected via the proforma. While wide variations in individual illness course are clear, social and occupational outcomes suggest that the majority of cohort members show no improvement in functioning over time. Differential rates of longitudinal transition are reported between early and late stages of illness, with a number of baseline factors associated with these transitions. Furthermore, there are longitudinal associations between prior suicide attempts and inferior clinical and functional outcomes. FUTURE PLANS Future reports will detail the longitudinal course of each outcome domain and examine multidirectional relationships between these domains both cross-sectionally and longitudinally, and explore in subsets the associations between detailed neurobiological measures and clinical, social and functional outcomes.
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Affiliation(s)
- Joanne S Carpenter
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Frank Iorfino
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Shane Cross
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jake R Palmer
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Alexis E Whitton
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Django White
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sharon L Naismith
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Daniel F Hermens
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Jan Scott
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Department of Academic Psychiatry, Newcastle University, Newcastle, United Kingdom
- Diderot University, Sorbonne City, Paris, France
| | - Elizabeth M Scott
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Medicine, University of Notre Dame, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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Crouse JJ, Chitty KM, Iorfino F, Carpenter JS, White D, Nichles A, Zmicerevska N, Tickell AM, Lee RSC, Naismith SL, Scott EM, Scott J, Hermens DF, Hickie IB. Transdiagnostic neurocognitive subgroups and functional course in young people with emerging mental disorders: a cohort study. BJPsych Open 2020; 6:e31. [PMID: 32191172 PMCID: PMC7176869 DOI: 10.1192/bjo.2020.12] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Neurocognitive impairments robustly predict functional outcome. However, heterogeneity in neurocognition is common within diagnostic groups, and data-driven analyses reveal homogeneous neurocognitive subgroups cutting across diagnostic boundaries. AIMS To determine whether data-driven neurocognitive subgroups of young people with emerging mental disorders are associated with 3-year functional course. METHOD Model-based cluster analysis was applied to neurocognitive test scores across nine domains from 629 young people accessing mental health clinics. Cluster groups were compared on demographic, clinical and substance-use measures. Mixed-effects models explored associations between cluster-group membership and socio-occupational functioning (using the Social and Occupational Functioning Assessment Scale) over 3 years, adjusted for gender, premorbid IQ, level of education, depressive, positive, negative and manic symptoms, and diagnosis of a primary psychotic disorder. RESULTS Cluster analysis of neurocognitive test scores derived three subgroups described as 'normal range' (n = 243, 38.6%), 'intermediate impairment' (n = 252, 40.1%), and 'global impairment' (n = 134, 21.3%). The major mental disorder categories (depressive, anxiety, bipolar, psychotic and other) were represented in each neurocognitive subgroup. The global impairment subgroup had lower functioning for 3 years of follow-up; however, neither the global impairment (B = 0.26, 95% CI -0.67 to 1.20; P = 0.581) or intermediate impairment (B = 0.46, 95% CI -0.26 to 1.19; P = 0.211) subgroups differed from the normal range subgroup in their rate of change in functioning over time. CONCLUSIONS Neurocognitive impairment may follow a continuum of severity across the major syndrome-based mental disorders, with data-driven neurocognitive subgroups predictive of functional course. Of note, the global impairment subgroup had longstanding functional impairment despite continuing engagement with clinical services.
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Affiliation(s)
| | - Kate M Chitty
- Translational Australian Clinical Toxicology (TACT) Research Group, University of Sydney, NSW, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Australia; and InnoWell, Pty Ltd, Australia
| | | | - Django White
- The Black Dog Institute, University of New South Wales, Australia
| | | | | | | | - Rico S C Lee
- Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Sharon L Naismith
- Charles Perkins Centre, University of Sydney; and Brain and Mind Centre, University of Sydney, Australia
| | | | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK
| | - Daniel F Hermens
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
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Hickie IB, Scott EM, Cross SP, Iorfino F, Davenport TA, Guastella AJ, Naismith SL, Carpenter JS, Rohleder C, Crouse JJ, Hermens DF, Koethe D, Markus Leweke F, Tickell AM, Sawrikar V, Scott J. Right care, first time: a highly personalised and measurement-based care model to manage youth mental health. Med J Aust 2020; 211 Suppl 9:S3-S46. [PMID: 31679171 DOI: 10.5694/mja2.50383] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Notre Dame Australia, Sydney, NSW
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | | | | | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | - Vilas Sawrikar
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Edinburgh, Edinburgh, UK
| | - Jan Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
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Hickie IB, Davenport TA, Burns JM, Milton AC, Ospina-Pinillos L, Whittle L, Ricci CS, McLoughlin LT, Mendoza J, Cross SP, Piper SE, Iorfino F, LaMonica HM. Project Synergy: co-designing technology-enabled solutions for Australian mental health services reform. Med J Aust 2020; 211 Suppl 7:S3-S39. [PMID: 31587276 DOI: 10.5694/mja2.50349] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Project Synergy aims to test the potential of new and emerging technologies to enhance the quality of mental health care provided by traditional face-to-face services. Specifically, it seeks to ensure that consumers get the right care, first time (delivery of effective mental health care early in the course of illness). Using co-design with affected individuals, Project Synergy has built, implemented and evaluated an online platform to assist the assessment, feedback, management and monitoring of people with mental disorders. It also promotes the maintenance of wellbeing by collating health and social information from consumers, their supportive others and health professionals. This information is reported back openly to consumers and their service providers to promote genuine collaborative care. The online platform does not provide stand-alone medical or health advice, risk assessment, clinical diagnosis or treatment; instead, it supports users to decide what may be suitable care options. Using an iterative cycle of research and development, the first four studies of Project Synergy (2014-2016) involved the development of different types of online prototypes for young people (i) attending university; (ii) in three disadvantaged communities in New South Wales; (iii) at risk of suicide; and (iv) attending five headspace centres. These contributed valuable information concerning the co-design, build, user testing and evaluation of prototypes, as well as staff experiences during development and service quality improvements following implementation. Through ongoing research and development (2017-2020), these prototypes underpin one online platform that aims to support better multidimensional mental health outcomes for consumers; more efficient, effective and appropriate use of health professional knowledge and clinical skills; and quality improvements in mental health service delivery.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | - Jane M Burns
- Swinburne Research, Swinburne University of Technology, Melbourne, VIC
| | | | - Laura Ospina-Pinillos
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Department of Psychiatry and Mental Health, School of Medicine, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Lisa Whittle
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | - Larisa T McLoughlin
- Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - John Mendoza
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,ConNetica, Caloundra, QLD
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Sarah E Piper
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW
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46
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Atkinson JA, Song YJC, Merikangas KR, Skinner A, Prodan A, Iorfino F, Freebairn L, Rose D, Ho N, Crouse J, Zipunnikov V, Hickie IB. The Science of Complex Systems Is Needed to Ameliorate the Impacts of COVID-19 on Mental Health. Front Psychiatry 2020; 11:606035. [PMID: 33324266 PMCID: PMC7724045 DOI: 10.3389/fpsyt.2020.606035] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/30/2020] [Indexed: 12/16/2022] Open
Affiliation(s)
- Jo-An Atkinson
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.,Computer Simulation and Advanced Research Technologies (CSART), Sydney, NSW, Australia
| | - Yun Ju Christine Song
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Kathleen R Merikangas
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, United States
| | - Adam Skinner
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Ante Prodan
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.,Computer Simulation and Advanced Research Technologies (CSART), Sydney, NSW, Australia.,School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia
| | - Frank Iorfino
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Louise Freebairn
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.,The Australian Prevention Partnership Centre, Sydney, NSW, Australia
| | - Danya Rose
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Nicholas Ho
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Jacob Crouse
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Vadim Zipunnikov
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Ian B Hickie
- Youth Mental Health and Technology, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
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Iorfino F, Scott EM, Carpenter JS, Cross SP, Hermens DF, Killedar M, Nichles A, Zmicerevska N, White D, Guastella AJ, Scott J, McGorry PD, Hickie IB. Clinical Stage Transitions in Persons Aged 12 to 25 Years Presenting to Early Intervention Mental Health Services With Anxiety, Mood, and Psychotic Disorders. JAMA Psychiatry 2019; 76:1167-1175. [PMID: 31461129 PMCID: PMC6714017 DOI: 10.1001/jamapsychiatry.2019.2360] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/03/2019] [Indexed: 12/16/2022]
Abstract
Importance The large contribution of psychiatric disorders to premature death and persistent disability among young people means that earlier identification and enhanced long-term care for those who are most at risk of developing life-threatening or chronic disorders is critical. Clinical staging as an adjunct to diagnosis to address emerging psychiatric disorders has been proposed for young people presenting for care; however, the longer-term utility of this system has not been established. Objectives To determine the rates of transition from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders and to identify the demographic and clinical characteristics that are associated with the time course of these transitions. Design, Setting, and Participants A longitudinal, observational study of 2254 persons aged 12 to 25 years who obtained mental health care at 2 early intervention mental health services in Sydney, Australia, and were recruited to a research register between June 18, 2008, and July 24, 2018 (the Brain and Mind Centre Optymise Cohort). Main Outcomes and Measures The primary outcome of this study was transition from earlier to later clinical stages. A multistate Markov model was used to examine demographic (ie, age, sex, engagement in education, employment, or both) and clinical (ie, social and occupational function, clinical presentation, personal history of mental illness, physical health comorbidities, treatment use, self-harm, suicidal thoughts and behaviors) factors associated with these transitions. Results Of the 2254 individuals included in the study, mean (SD) age at baseline was 18.18 (3.33) years and 1330 (59.0%) were female. Data on race/ethnicity were not available. Median (interquartile range) follow-up was 14 (5-33) months. Of 685 participants at stage 1a (nonspecific symptoms), 253 (36.9%) transitioned to stage 1b (attenuated syndromes). Transition was associated with lower social functioning (hazard ratio [HR], 0.77; 95% CI, 0.66-0.90), engagement with education, employment, or both (HR, 0.47; 95% CI, 0.25-0.91), manic-like experiences (HR, 2.12; 95% CI, 1.19-3.78), psychotic-like experiences (HR, 2.13; 95% CI, 1.38-3.28), self-harm (HR, 1.42; 95% CI, 1.01-1.99), and older age (HR, 1.27; 95% CI, 1.11-1.45). Of 1370 stage 1b participants, 176 (12.8%) transitioned to stage 2 (full-threshold) disorders. Transition was associated with psychotic-like experiences (HR, 2.31; 95% CI, 1.65-3.23), circadian disturbance (HR, 1.66; 95% CI, 1.17-2.35), psychiatric medication (HR, 1.43; 95% CI, 1.03-1.99), childhood psychiatric disorder (HR, 1.62; 95% CI, 1.03-2.54), and older age (HR, 1.24; 95% CI, 1.05-1.45). Conclusions and Relevance Differential rates of progression from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders were observed in young persons who presented for care at various stages. Understanding the rate and factors associated with transition assists planning of stage-specific clinical interventions and secondary prevention trials.
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Affiliation(s)
- Frank Iorfino
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Elizabeth M. Scott
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
- The University of Notre Dame, St Vincent’s and Mater Clinical School, Sydney, New South Wales, Australia
| | - Joanne S. Carpenter
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Shane P. Cross
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Daniel F. Hermens
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Madhura Killedar
- Sydney Informatics Hub, University of Sydney, New South Wales, Australia
| | - Alissa Nichles
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Natalia Zmicerevska
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Django White
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Adam J. Guastella
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, United Kingdom
| | - Patrick D. McGorry
- Orygen, National Centre of Excellence in Youth Mental Health, Melbourne, Australia
- Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - Ian B. Hickie
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia
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Iorfino F, Cross SP, Davenport T, Carpenter JS, Scott E, Shiran S, Hickie IB. A Digital Platform Designed for Youth Mental Health Services to Deliver Personalized and Measurement-Based Care. Front Psychiatry 2019; 10:595. [PMID: 31507465 PMCID: PMC6716201 DOI: 10.3389/fpsyt.2019.00595] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 07/26/2019] [Indexed: 12/21/2022] Open
Abstract
Mental disorders that commonly emerge during adolescence and young adulthood are associated with substantial immediate burden and risks, as well as potentially imparting lifetime morbidity and premature mortality. While the development of health services that are youth focused and prioritize early intervention has been a critical step forward, an ongoing challenge is the heterogeneous nature of symptom profiles and illness trajectories. Consequently, it is often difficult to provide quality mental health care, at scale, that addresses the broad range of health, social, and functional needs of young people. Here, we describe a new digital platform designed to deliver personalized and measurement-based care. It provides health services and clinicians with the tools to directly address the multidimensional needs of young people. The term "personalized" describes the notion that the assessment of, and the sequence of interventions for, mental disorders are tailored to the young person-and their changing needs over time, while "measurement-based" describes the use of systematic and continuing assessment of a young person's outcomes over the entire course of clinical care. Together, these concepts support a framework for care that transcends a narrow focus on symptom reduction or risk reduction. Instead, it prioritizes a broader focus on enhancing social, health, and physical outcomes for young people and a commitment to tracking these outcomes throughout this key developmental period. Now, with twenty-first century technologies, it is possible to provide health services with the tools needed to deliver quality mental health care.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Research and development, Innowell, Pty Ltd., Sydney, NSW, Australia
| | - Shane P. Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Tracey Davenport
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Research and development, Innowell, Pty Ltd., Sydney, NSW, Australia
| | | | - Elizabeth Scott
- School of Medicine, University of Notre Dame, Sydney, NSW, Australia
| | - Sagit Shiran
- Research and development, Innowell, Pty Ltd., Sydney, NSW, Australia
| | - Ian B. Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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Tickell AM, Scott EM, Davenport T, Iorfino F, Ospina-Pinillos L, White D, Harel K, Parker L, Hickie IB, Hermens DF. Developing neurocognitive standard clinical care: A study of young adult inpatients. Psychiatry Res 2019; 276:232-238. [PMID: 31121529 DOI: 10.1016/j.psychres.2019.05.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 05/01/2019] [Accepted: 05/01/2019] [Indexed: 10/26/2022]
Abstract
Neuropsychological assessments have provided the field of psychiatry with important information about patients. As an assessment tool, a neuropsychological battery can be useful in a clinical setting; however, implementation as standard clinical care in an inpatient unit has not been extensively evaluated. A computerized cognitive battery was administered to 103 current young adult inpatients (19.2 ± 3.1 years; 72% female) with affective disorder. Neurocognitive tasks included Verbal Recognition Memory (VRM), Attention Switching (AST), Paired Association Learning (PAL), and Rapid Visual Processing (RVP). Patients also completed a computerized self-report questionnaire evaluating subjective impressions of their cognition. Hierarchical cluster analysis determined three neurocognitive subgroups: cluster 1 (n = 17) showed a more impaired neurocognitive profile on three of the four variables compared to their peers in cluster 2 (n = 59), and cluster 3 (n = 27), who had the most impaired attentional shifting. Two of the four neurocognitive variables were significantly different between all three cluster groups (verbal learning and sustained attention). Overall group results showed an association between poorer sustained attention and increased suicidal ideation. These findings strengthen the idea that neurocognitive profiles may play an important role in better understanding the severity of illness in young inpatients with major psychiatric disorders.
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Affiliation(s)
- Ashleigh M Tickell
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia.
| | - Elizabeth M Scott
- Young Adult Mental Health Unit, Uspace, St Vincent's Private Hospital, Australia
| | - Tracey Davenport
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia
| | - Frank Iorfino
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia
| | - Laura Ospina-Pinillos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia
| | - Django White
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia
| | - Kate Harel
- Young Adult Mental Health Unit, Uspace, St Vincent's Private Hospital, Australia
| | - Lisa Parker
- Young Adult Mental Health Unit, Uspace, St Vincent's Private Hospital, Australia
| | - Ian B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia
| | - Daniel F Hermens
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050, Australia; Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
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Davenport TA, LaMonica HM, Whittle L, English A, Iorfino F, Cross S, Hickie IB. Validation of the InnoWell Platform: Protocol for a Clinical Trial. JMIR Res Protoc 2019; 8:e13955. [PMID: 31152524 PMCID: PMC6658233 DOI: 10.2196/13955] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/01/2019] [Accepted: 05/01/2019] [Indexed: 11/21/2022] Open
Abstract
Background New electronic health technologies are being rapidly developed to improve the delivery of mental health care for both health professionals and consumers and better support self-management of care. We developed a Web-based platform (the InnoWell Platform) that supports the prevention, early
intervention, treatment, and continuous monitoring of mental health and maintenance of well-being in people aged 2 years and older. The platform is a customizable digital tool kit
that operates through existing service providers who utilize the
system to provide their consumers with access to evidence-based
assessments and feedback, intervention options, and outcome
monitoring. It does this by collecting, storing, and reporting
personal and health information back to consumers and their
health professionals to promote collaborative care partnerships
that aim to improve the management of mental ill health and
maintenance of well-being Objective The aim of this study was to describe the research protocol for a naturalistic prospective clinical trial wherein all consumers presenting for care to a traditional face-to-face or Web-based mental health service in which the InnoWell Platform is being offered as part of standard clinical care will be given the opportunity to use the platform. Methods The Web-based platform is a configurable and customizable digital tool that assists in the assessment, monitoring and management of mental ill health, and maintenance of well-being. It does this by collecting, storing, and reporting health information back to the person and his or her clinician to enable transformation to person-centered care. The clinical trial will be conducted with individuals aged 2 years and older presenting to participating services for care, including persons from the veteran community, Aboriginal and Torres Strait Islander people, people from culturally and linguistically diverse backgrounds, the lesbian, gay, bisexual, transgender, and intersex community, and those from broader education and workforce sectors, as well as people with disabilities, lived experience of comorbidity, complex disorders, and suicidality. Results Project Synergy was funded in June 2017, and data collection began in November 2018 at a youth mental health service. At the time of this publication, 5 additional services have also begun recruitment, including 4 youth mental health services and a veteran’s service. The first results are expected to be submitted in 2020 for publication. Conclusions This clinical trial will promote access to comprehensive, high-quality mental health care to improve outcomes for consumers and health professionals. The data collected will be used to validate a clinical staging algorithm designed to match consumers with the right level of care and reduce the rate of suicidal thoughts and/or behaviors and suicide by suggesting pathways to care that are appropriate for the identified level of need, while simultaneously enabling a timely service response. Trial Registration Australian New Zealand Clinical Trial Registry ACTRN12618001676202; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374632 (Archived by WebCite at http://www.webcitation.org/78TOi5jwl) International Registered Report Identifier (IRRID) DERR1-10.2196/13955
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Affiliation(s)
- Tracey A Davenport
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia.,InnoWell Pty Ltd, Camperdown, Australia
| | - Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia.,InnoWell Pty Ltd, Camperdown, Australia
| | - Lisa Whittle
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia.,InnoWell Pty Ltd, Camperdown, Australia
| | | | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia.,InnoWell Pty Ltd, Camperdown, Australia
| | - Shane Cross
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
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