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Salazar de Pablo G, Guinart D, Armendariz A, Aymerich C, Catalan A, Alameda L, Rogdaki M, Martinez Baringo E, Soler-Vidal J, Oliver D, Rubio JM, Arango C, Kane JM, Fusar-Poli P, Correll CU. Duration of Untreated Psychosis and Outcomes in First-Episode Psychosis: Systematic Review and Meta-analysis of Early Detection and Intervention Strategies. Schizophr Bull 2024; 50:771-783. [PMID: 38491933 PMCID: PMC11283197 DOI: 10.1093/schbul/sbae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Abstract
BACKGROUND The role of duration of untreated psychosis (DUP) as an early detection and intervention target to improve outcomes for individuals with first-episode psychosis is unknown. STUDY DESIGN PRISMA/MOOSE-compliant systematic review to identify studies until February 1, 2023, with an intervention and a control group, reporting DUP in both groups. Random effects meta-analysis to evaluate (1) differences in DUP in early detection/intervention services vs the control group, (2) the efficacy of early detection strategies regarding eight real-world outcomes at baseline (service entry), and (3) the efficacy of early intervention strategies on ten real-world outcomes at follow-up. We conducted quality assessment, heterogeneity, publication bias, and meta-regression analyses (PROSPERO: CRD42020163640). STUDY RESULTS From 6229 citations, 33 intervention studies were retrieved. The intervention group achieved a small DUP reduction (Hedges' g = 0.168, 95% CI = 0.055-0.283) vs the control group. The early detection group had better functioning levels (g = 0.281, 95% CI = 0.073-0.488) at baseline. Both groups did not differ regarding total psychopathology, admission rates, quality of life, positive/negative/depressive symptoms, and employment rates (P > .05). Early interventions improved quality of life (g = 0.600, 95% CI = 0.408-0.791), employment rates (g = 0.427, 95% CI = 0.135-0.718), negative symptoms (g = 0.417, 95% CI = 0.153-0.682), relapse rates (g = 0.364, 95% CI = 0.117-0.612), admissions rates (g = 0.335, 95% CI = 0.198-0.468), total psychopathology (g = 0.298, 95% CI = 0.014-0.582), depressive symptoms (g = 0.268, 95% CI = 0.008-0.528), and functioning (g = 0.180, 95% CI = 0.065-0.295) at follow-up but not positive symptoms or remission (P > .05). CONCLUSIONS Comparing interventions targeting DUP and control groups, the impact of early detection strategies on DUP and other correlates is limited. However, the impact of early intervention was significant regarding relevant outcomes, underscoring the importance of supporting early intervention services worldwide.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Daniel Guinart
- Institut de Salut Mental, Hospital del Mar, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Department of Psychiatry, Hospital del Mar Medical Research Institute, Barcelona, Spain
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Alvaro Armendariz
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Etiopatogenia i Tractament Dels Trastorns Mental Severs (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Claudia Aymerich
- Psychiatry Department, Basurto University Hospital, Biocruces Bizkaia Health Research Institute, OSI Bilbao-Basurto, Barakaldo, Bizkaia, Spain
| | - Ana Catalan
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Psychiatry Department, Basurto University Hospital, Biocruces Bizkaia Health Research Institute, OSI Bilbao-Basurto, Barakaldo, Bizkaia, Spain
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- TiPP Program Department of Psychiatry, Service of General Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
- Department of Psychiatry, Centro Investigación Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío, University of Sevilla, Sevilla, Spain
| | - Maria Rogdaki
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Estrella Martinez Baringo
- Department of Child and Adolescent Psychiatry, Hospital Sant Joan de Déu de Barcelona, Esplugues de Llobregat, Spain
| | - Joan Soler-Vidal
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Hospital Benito Menni CASM, Hermanas Hospitalarias, Sant Boi de Llobregat, Spain
| | - Dominic Oliver
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Jose M Rubio
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - John M Kane
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, UK
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
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2
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Frischherz M, Conus P, Golay P. Reduction of DUP in early intervention programmes: No pain… almost no gain. Early Interv Psychiatry 2024. [PMID: 38807275 DOI: 10.1111/eip.13580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 05/06/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024]
Abstract
AIM Considering the negative impact of long duration of untreated psychosis (DUP) on outcome, its reduction has become one of the aims of early intervention programmes. The TIPP programme (Treatment and early Intervention in Psychosis Program) was implemented in 2004 in Lausanne and hoped to reduce DUP, without any specific campaign in this regard, through the provision of accessible and specialized treatment. The aim of this study was to evaluate the evolution of patients' DUP over time and the characteristics of patients with extreme DUP. METHODS Clinical follow-up data of 380 patients aged 18-35 years with a first psychotic episode who entered the TIPP programme between 2004 and 2017 were analysed. The evolution of DUP over time as well as referring entities and destination after the programme were assessed. The characteristics of patients with extreme DUPs (>percentile 90) were compared with that of other patients. RESULTS The mean value of the DUP was 452.11 days with a median of 88 days. DUP decreased only moderately over time. We also observe a decrease in discharges to specialized outpatient care at our university hospital. The main characteristics of patients with extreme DUP were early age of onset of psychosis, diagnosis of schizophrenia and presence of history of psychiatric treatment for other conditions before onset of psychosis. CONCLUSIONS These figures suggest that the DUP has reduced over time but that without specific interventions at this level, this reduction is only moderate.
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Affiliation(s)
- Morgane Frischherz
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Philippe Golay
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Community Psychiatry Service, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Institute of Psychology, Faculty of Social and Political Science, University of Lausanne, Lausanne, Switzerland
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3
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Deo AJ, Castro VM, Baker A, Carroll D, Gonzalez-Heydrich J, Henderson DC, Holt DJ, Hook K, Karmacharya R, Roffman JL, Madsen EM, Song E, Adams WG, Camacho L, Gasman S, Gibbs JS, Fortgang RG, Kennedy CJ, Lozinski G, Perez DC, Wilson M, Reis BY, Smoller JW. Validation of an ICD-Code-Based Case Definition for Psychotic Illness Across Three Health Systems. Schizophr Bull 2024:sbae064. [PMID: 38728421 DOI: 10.1093/schbul/sbae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
BACKGROUND AND HYPOTHESIS Psychosis-associated diagnostic codes are increasingly being utilized as case definitions for electronic health record (EHR)-based algorithms to predict and detect psychosis. However, data on the validity of psychosis-related diagnostic codes is limited. We evaluated the positive predictive value (PPV) of International Classification of Diseases (ICD) codes for psychosis. STUDY DESIGN Using EHRs at 3 health systems, ICD codes comprising primary psychotic disorders and mood disorders with psychosis were grouped into 5 higher-order groups. 1133 records were sampled for chart review using the full EHR. PPVs (the probability of chart-confirmed psychosis given ICD psychosis codes) were calculated across multiple treatment settings. STUDY RESULTS PPVs across all diagnostic groups and hospital systems exceeded 70%: Mass General Brigham 0.72 [95% CI 0.68-0.77], Boston Children's Hospital 0.80 [0.75-0.84], and Boston Medical Center 0.83 [0.79-0.86]. Schizoaffective disorder PPVs were consistently the highest across sites (0.80-0.92) and major depressive disorder with psychosis were the most variable (0.57-0.79). To determine if the first documented code captured first-episode psychosis (FEP), we excluded cases with prior chart evidence of a diagnosis of or treatment for a psychotic illness, yielding substantially lower PPVs (0.08-0.62). CONCLUSIONS We found that the first documented psychosis diagnostic code accurately captured true episodes of psychosis but was a poor index of FEP. These data have important implications for the case definitions used in the development of risk prediction models designed to predict or detect undiagnosed psychosis.
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Affiliation(s)
- Anthony J Deo
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ, USA
- Psychiatric Evaluation of Adolescent and Child Experiences (P.E.A.C.E.) Program, Rutgers University Behavioral Health Care, Piscataway, NJ, USA
| | - Victor M Castro
- Research Information Science and Computing, Mass General Brigham, Somerville, MA, USA
| | | | - Devon Carroll
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- College of Nursing, University of Rhode Island, Providence, RI, USA
| | - Joseph Gonzalez-Heydrich
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Early Psychosis Investigation Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - David C Henderson
- Boston Medical Center, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daphne J Holt
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston MA, USA
| | - Kimberly Hook
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rakesh Karmacharya
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Joshua L Roffman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston MA, USA
| | - Emily M Madsen
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eugene Song
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | - Jada S Gibbs
- Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Rebecca G Fortgang
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Chris J Kennedy
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | | | - Daisy C Perez
- Boston Medical Center, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Marina Wilson
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Ben Y Reis
- Predictive Medicine Group, Harvard Medical School, Boston, MA, USA
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Jordan W Smoller
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
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4
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Murden R, Allan SM, Hodgekins J, Oduola S. The effectiveness of public health interventions, initiatives, and campaigns designed to improve pathways to care for individuals with psychotic disorders: A systematic review. Schizophr Res 2024; 266:165-179. [PMID: 38412687 DOI: 10.1016/j.schres.2024.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 01/19/2024] [Accepted: 02/17/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE Lengthy duration of untreated psychosis (DUP) and duration of untreated illness (DUI) in people at clinical high-risk for psychosis (CHR-P) and first episode psychosis (FEP) is associated with poorer outcomes. However, individuals with FEP often experience negative pathways to care involving contacts with police, crisis services and requiring compulsory admissions, and evidence suggests individuals with both FEP and CHR-P often experience lengthy delays to treatment. Early detection interventions, such as public health interventions, may be one way to reduce delays. This systematic review aimed to synthesise the available evidence on such interventions. METHODS The EMBASE, PsychINFO, CINAHL, and MEDLINE databases were searched. Studies were included if they compared an intervention designed to improve timely access to treatment for individuals with FEP or CHR-P to standard treatment provision. Interventions may be targeted at potential patients, their families, the general public, or non-healthcare professionals. Outcomes of interest were DUP or DUI, and/or characteristics of pathways to care. RESULTS Nineteen studies met the inclusion criteria. All consisted of FEP populations, none of CHR-P populations. Employing narrative synthesis, we found mixed results about the effectiveness of interventions at reducing DUP and interventions appeared to differentially impact groups. Pathways to care information was limited and mixed. CONCLUSION Findings on the effectiveness of interventions designed to improve timely access to treatment were inconclusive. More research is warranted to better understand where delays occur and factors which may influence this for both FEP and CHR-P populations which may help to develop targeted interventions to address delays.
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Affiliation(s)
- Rhiannon Murden
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK; Birmingham and Solihull Mental Health NHS Foundation Trust, Uffculme Centre, 52 Queensbridge Road, Moseley, Birmingham B13 8QY, UK.
| | - Sophie M Allan
- Cambridgeshire and Peterborough NHS Foundation Trust, Elizabeth House, Fulbourn, Cambridgeshire CB21 5EF, UK; School of Health Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Jo Hodgekins
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - Sheri Oduola
- Cambridgeshire and Peterborough NHS Foundation Trust, Elizabeth House, Fulbourn, Cambridgeshire CB21 5EF, UK; School of Health Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
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5
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Deo AJ, Castro VM, Baker A, Carroll D, Gonzalez-Heydrich J, Henderson DC, Holt DJ, Hook K, Karmacharya R, Roffman JL, Madsen EM, Song E, Adams WG, Camacho L, Gasman S, Gibbs JS, Fortgang RG, Kennedy CJ, Lozinski G, Perez DC, Wilson M, Reis BY, Smoller JW. Validation of an ICD-code-based case definition for psychotic illness across three health systems. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.28.24303443. [PMID: 38464074 PMCID: PMC10925367 DOI: 10.1101/2024.02.28.24303443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background and Hypothesis Early detection of psychosis is critical for improving outcomes. Algorithms to predict or detect psychosis using electronic health record (EHR) data depend on the validity of the case definitions used, typically based on diagnostic codes. Data on the validity of psychosis-related diagnostic codes is limited. We evaluated the positive predictive value (PPV) of International Classification of Diseases (ICD) codes for psychosis. Study Design Using EHRs at three health systems, ICD codes comprising primary psychotic disorders and mood disorders with psychosis were grouped into five higher-order groups. 1,133 records were sampled for chart review using the full EHR. PPVs (the probability of chart-confirmed psychosis given ICD psychosis codes) were calculated across multiple treatment settings. Study Results PPVs across all diagnostic groups and hospital systems exceeded 70%: Massachusetts General Brigham 0.72 [95% CI 0.68-0.77], Boston Children's Hospital 0.80 [0.75-0.84], and Boston Medical Center 0.83 [0.79-0.86]. Schizoaffective disorder PPVs were consistently the highest across sites (0.80-0.92) and major depressive disorder with psychosis were the most variable (0.57-0.79). To determine if the first documented code captured first-episode psychosis (FEP), we excluded cases with prior chart evidence of a diagnosis of or treatment for a psychotic illness, yielding substantially lower PPVs (0.08-0.62). Conclusions We found that the first documented psychosis diagnostic code accurately captured true episodes of psychosis but was a poor index of FEP. These data have important implications for the development of risk prediction models designed to predict or detect undiagnosed psychosis.
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Affiliation(s)
- Anthony J. Deo
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Harvard Medical School, Boston, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Psychiatry, Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ
- Rutgers University Behavioral Health Care, Piscataway, NJ
| | - Victor M. Castro
- Research Information Science and Computing, Mass General Brigham, Somerville, MA
| | | | - Devon Carroll
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Harvard Medical School, Boston, MA
- University of Rhode Island, Providence, RI, USA
| | - Joseph Gonzalez-Heydrich
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Harvard Medical School, Boston, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA
- Early Psychosis Investigation Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA
| | - David C. Henderson
- Boston Medical Center, Boston MA
- Boston University Chobanian & Avedisian School of Medicine, Boston MA
| | - Daphne J. Holt
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Kimberly Hook
- Harvard T.H. Chan School of Public Health, Boston, MA
| | - Rakesh Karmacharya
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA
| | - Joshua L. Roffman
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Emily M. Madsen
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eugene Song
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - William G. Adams
- Boston Medical Center, Boston MA
- Boston University Chobanian & Avedisian School of Medicine, Boston MA
| | | | | | - Jada S. Gibbs
- Rutgers New Jersey Medical School, Newark, New Jersey 07103
| | - Rebecca G. Fortgang
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Harvard University, Cambridge, MA
| | - Chris J. Kennedy
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | | | - Daisy C. Perez
- Boston Medical Center, Boston MA
- Boston University Chobanian & Avedisian School of Medicine, Boston MA
| | - Marina Wilson
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Ben Y. Reis
- Predictive Medicine Group, Harvard Medical School, Boston, MA
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA
| | - Jordan W. Smoller
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
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6
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Hazan H, Ferrara M, Riley S, Li F, Zhou B, Kline E, Gibbs-Dean T, Karmani S, Tayfur SN, Tek C, Keshavan M, Srihari V. The impact of early detection (ED) campaigns on care presentations: Beyond DUP reduction. Schizophr Res 2024; 264:457-461. [PMID: 38266513 PMCID: PMC10923115 DOI: 10.1016/j.schres.2024.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 11/13/2023] [Accepted: 01/08/2024] [Indexed: 01/26/2024]
Abstract
We examined the effects of an early detection (ED) campaign (Mindmap), that successfully shortened the duration of untreated psychosis (DUP), on patient presentation profiles at two receiving coordinated specialty care (CSC) services. Data were collected between 2015 and 2019 during a test of ED delivered at one CSC (STEP, n = 147) compared to usual detection at another CSC (PREP, n = 63). Regression models were used to test the effects of ED and DUP on presentation. Before the launch of ED, there were no differences in presentation between STEP and PREP. However, the ED changed the profile of presentations to STEP such that patients were admitted with better negative and total symptoms scores, but worse GAF current and GAF social and with a greater decline in function over the prior year (GAF-Δ). Site-by-time interaction effects were not significant. During the campaign years, STEP vs. PREP recruited patients with better negative and total symptoms, GAF role, and pre-morbid adjustment scores but with worse positive symptoms, GAF current, and GAF-Δ. Nonetheless, mediation analysis revealed that DUP reduction accounted for very little (<8 %) of these differences in presentation. Early detection campaigns while successfully reducing access delays, can have salutary effects on presentation independent of DUP reduction.
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Affiliation(s)
- Hadar Hazan
- Yale Medical School, United States of America.
| | | | - Sarah Riley
- Yale Medical School, United States of America
| | - Fangyong Li
- Yale Center for Analytical Sciences, United States of America
| | - Bin Zhou
- Yale Center for Analytical Sciences, United States of America
| | | | | | | | | | - Cenk Tek
- Yale Medical School, United States of America
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7
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Niendam TA, Loewy R, Savill M, Delucchi KL, Lesh TA, Ragland JD, Bolden K, Skymba HV, Gobrial S, Meyer MS, Pierce KM, Rosenthal A, Fedechko TL, Tully LM, Tryon VL, Goldman H, Cress RD, Kravitz RL, Carter CS. Effect of Technology-Enhanced Screening in Addition to Standard Targeted Clinician Education on the Duration of Untreated Psychosis: A Cluster Randomized Clinical Trial. JAMA Psychiatry 2023; 80:119-126. [PMID: 36598770 PMCID: PMC9857799 DOI: 10.1001/jamapsychiatry.2022.4436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/02/2022] [Indexed: 01/05/2023]
Abstract
Importance Reducing the duration of untreated psychosis (DUP) is essential to improving outcomes for people with first-episode psychosis (FEP). Current US approaches are insufficient to reduce DUP to international standards of less than 90 days. Objective To determine whether population-based electronic screening in addition to standard targeted clinician education increases early detection of psychosis and decreases DUP, compared with clinician education alone. Design, Setting, and Participants This cluster randomized clinical trial included individuals aged 12 to 30 years presenting for services between March 2015 and September 2017 at participating sites that included community mental health clinics and school support and special education services. Eligible participants were referred to the Early Diagnosis and Preventative Treatment (EDAPT) Clinic. Data analyses were performed in September and October 2019 for the primary and secondary analyses, with the exploratory subgroup analyses completed in May 2021. Interventions All sites in both groups received targeted education about early psychosis for health care professionals. In the active screening group, clients also completed the Prodromal Questionnaire-Brief using tablets at intake; referrals were based on those scores and clinical judgment. In the group receiving treatment as usual (TAU), referrals were based on clinical judgment alone. Main Outcomes and Measures Primary outcomes included DUP, defined as the period from full psychosis onset to the date of the EDAPT diagnostic telephone interview, and the number of individuals identified with FEP or a psychosis spectrum disorder. Exploratory analyses examined differences by site type, completion rates between conditions, and days from service entry to telephone interview. Results Twenty-four sites agreed to participate, and 12 sites were randomized to either the active screening or TAU group. However, only 10 community clinics and 4 school sites were able to fully implement population screening and were included in the final analysis. The total potentially eligible population size within each study group was similar, with 2432 individuals entering at active screening group sites and 2455 at TAU group sites. A total of 303 diagnostic telephone interviews were completed (178 [58.7%] female individuals; mean [SD] age, 17.09 years [4.57]). Active screening sites reported a significantly higher detection rate of psychosis spectrum disorders (136 cases [5.6%], relative to 65 [2.6%]; P < .001) and referred a higher proportion of individuals with FEP and DUP less than 90 days (13 cases, relative to 4; odds ratio, 0.30; 95% CI, 0.10-0.93; P = .03). There was no difference in mean (SD) DUP between groups (active screening group, 239.0 days [207.4]; TAU group 262.3 days [170.2]). Conclusions and Relevance In this cluster trial, population-based technology-enhanced screening across community settings detected more than twice as many individuals with psychosis spectrum disorders compared with clinical judgment alone but did not reduce DUP. Screening could identify people undetected in US mental health services. Significant DUP reduction may require interventions to reduce time to the first mental health contact. Trial Registration ClinicalTrials.gov Identifier: NCT02841956.
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Affiliation(s)
- Tara A Niendam
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Rachel Loewy
- Department of Psychiatry, University of California, San Francisco
- UCSF Weill Institute for Neurosciences, San Francisco, California
| | - Mark Savill
- Department of Psychiatry, University of California, San Francisco
- UCSF Weill Institute for Neurosciences, San Francisco, California
| | - Kevin L Delucchi
- Department of Psychiatry, University of California, San Francisco
- UCSF Weill Institute for Neurosciences, San Francisco, California
| | - Tyler A Lesh
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - J Daniel Ragland
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Khalima Bolden
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Haley V Skymba
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Sarah Gobrial
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Monet S Meyer
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Katherine M Pierce
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Adi Rosenthal
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Taylor L Fedechko
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | - Laura M Tully
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
| | | | - Howard Goldman
- Department of Psychiatry, University of Maryland, Baltimore
| | - Rosemary D Cress
- Department of Public Health Sciences, University of California, Davis, Sacramento
| | - Richard L Kravitz
- Department of General Medicine, Geriatrics, and Bioethics, University of California, Davis, Sacramento
| | - Cameron S Carter
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
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8
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Srihari VH, Li F. DUP redux: Observations vs. experiments in early intervention (invited commentary on Nkire et al.). Schizophr Res 2023; 251:46-48. [PMID: 36565532 DOI: 10.1016/j.schres.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/15/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Vinod H Srihari
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA.
| | - Fangyong Li
- Yale Center for Analytical Sciences (YCAS), Yale School of Public Health, New Haven, CT, USA
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9
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Nkire N, Kingston T, Kinsella A, Russell V, Waddington JL. Mixed-effects models reveal prediction of long-term outcome by duration of untreated psychosis (DUP) and illness (DUI) varies with quantile gradation but is invariant with time across 7 years in the Cavan-Monaghan First Episode Psychosis Study (CAMFEPS). Schizophr Res 2022; 248:124-130. [PMID: 36037645 DOI: 10.1016/j.schres.2022.08.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 07/01/2022] [Accepted: 08/20/2022] [Indexed: 11/30/2022]
Abstract
While associations between duration of untreated psychosis (DUP) and outcome have been widely reported, how long these relationships endure following initiation of treatment and how such associations are distributed across the range of DUP values encountered remain unclear. This study investigates prospectively (i) whether prediction of outcome by DUP and by duration of untreated illness (DUI) diminishes, remains stable or increases in the long term after initiating treatment, and (ii) whether these relationships for differing indices of outcome vary across gradations of DUP-DUI values. Sixty-two subjects were evaluated prospectively for DUP, DUI, premorbid features, psychopathology and quality of life at both first episode psychosis (FEP) and at 7-year follow-up; functionality and service engagement were assessed at follow-up. Data were analysed using mixed-effects models for DUP and DUI quantiles. Prediction by longer DUP and DUI of greater psychopathology, particularly negative symptoms, and lower quality of life remained stable between FEP and follow-up; longer DUP and DUI also predicted lower functionality and service engagement at follow-up. While most associations were confined to the longest DUP-DUI quartile, those between DUP-DUI and negative symptoms and quality of life were distributed in a graded manner across DUP-DUI quartiles. Material confounding with premorbid features, including lead-time bias, was not supported. These findings suggest that benefits of reducing DUP-DUI may endure for at least a decade beyond FEP and that even modest reductions in DUP-DUI may confer particular advantage in the more debilitating and intransigent domain of impairment.
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Affiliation(s)
- Nnamdi Nkire
- Cavan-Monaghan Mental Health Service, Drumalee Primary Care Centre, Cavan, Ireland; School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Tara Kingston
- Cavan-Monaghan Mental Health Service, Drumalee Primary Care Centre, Cavan, Ireland; School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Anthony Kinsella
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Vincent Russell
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Beaumont Hospital, Dublin, Ireland
| | - John L Waddington
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric-Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China.
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10
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Tomaskova H, Kondrátová L, Winkler P, Addington D. Development and implementation of fidelity assessment in first episode psychosis services in Czechia: A pilot study. Early Interv Psychiatry 2022. [PMID: 36054065 DOI: 10.1111/eip.13350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/27/2022] [Accepted: 07/28/2022] [Indexed: 11/29/2022]
Abstract
AIM The aim of the study was to evaluate fidelity in first episode psychosis (FEP) teams in Czechia and to gage the feasibility and utility of the process in a mental health system that is undergoing a transformation. METHODS Fidelity assessment was conducted using The First Episode Psychosis Services Fidelity Scale (FEPS-FS). Fidelity assessment was based on a review of data abstracted from the health records of active clients, program documents, administrative data, and interviews with members of staff. The mean scores were compared across the teams. Feasibility and utility were assessed by program response to their fidelity results. RESULTS Three FEP teams were involved in the fidelity assessment. Across the 35 items, the mean fidelity score ranged from 2.5 to 3.1. Across the FEP teams, the percentage of the 35 items rated as 4 or 5 (satisfactory or exemplary) ranged from 34.3% to 51.4%. CONCLUSIONS This study provided an opportunity to implement FEPS-FS and assess fidelity in FEP teams in Czechia. The fidelity assessment also provided a baseline for measuring change.
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Affiliation(s)
- Hana Tomaskova
- Department of Public Mental Health, National Institute of Mental Health, Klecany, Czechia.,Department of Psychology, Charles University, Prague, Czechia
| | - Lucie Kondrátová
- Department of Public Mental Health, National Institute of Mental Health, Klecany, Czechia
| | - Petr Winkler
- Department of Public Mental Health, National Institute of Mental Health, Klecany, Czechia.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Donald Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
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11
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Nymoen M, Biringer E, Hetlevik Ø, Thorsen O, Assmus J, Hartveit M. The impact of referral letter quality on timely access to specialised mental health care: a quantitative study of the reliability of patient triage. BMC Health Serv Res 2022; 22:735. [PMID: 35655302 PMCID: PMC9161652 DOI: 10.1186/s12913-022-08139-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 05/25/2022] [Indexed: 11/24/2022] Open
Abstract
Background Patients referred to specialised mental health care are usually triaged based on referral information provided by general practitioners. However, knowledge about this system’s ability to ensure timely access to and equity in specialised mental health care is limited. We aimed to investigate to the degree to which patient triage, based on referral letter information, corresponds to triage based on a hospital specialist’s consultation with the patient, and whether the degree of correspondence is affected by the quality of the referral letter. Methods We gathered information from three specialised mental health centres in Norway regarding patients that were referred and offered health care (N = 264). Data consisted of triage decisions for each patient (i.e., the hospital specialist’s assessment of maximum acceptable waiting time), which were determined on the basis of a) referral information and b) meeting the patient. Referral letter quality was evaluated using the Quality of Referral information-Mental Health checklist. The reliability of priority setting and the impact of referral letter quality on this measure were investigated using descriptive analyses, binary logistic regression and Nadaraya-Watson kernel regression. Results In 143 (54%) cases, the triage decision based on referral information corresponded with the decision based on patient consultation. In 70 (27%) cases, the urgency of need for treatment was underestimated when based on referral information compared with that based on information from patient consultation. Referral letter quality could not explain the differences between the two triage decisions. However, when a cut-off value of 7 on the Quality of Referral information-Mental Health scale was used, low-quality letters were found more frequently among patients whose urgency of need was underestimated, compared with those whose need was overestimated. Conclusions Deciding the urgency of patient need for specialised mental health care based on referral information is a reliable system in many situations. However, the possibility of under- and overestimation is present, implying risks to patient safety and inappropriate use of resources. Improving the content of referral letters does not appear to reduce this risk when the letters are of acceptable quality. Trial registration NCT01374035.
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12
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O'Keeffe D, Kinsella A, Waddington JL, Clarke M. 20-Year Prospective, Sequential Follow-Up Study of Heterogeneity in Associations of Duration of Untreated Psychosis With Symptoms, Functioning, and Quality of Life Following First-Episode Psychosis. Am J Psychiatry 2022; 179:288-297. [PMID: 35360921 DOI: 10.1176/appi.ajp.2021.20111658] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Determining the extent to which relationships between duration of untreated psychosis (DUP) and outcome endure longitudinally across the lifetime course of psychotic illness requires prospective, systematic studies of epidemiologically representative incidence cohorts across decades. Transience, persistence, or heterogeneity in associations between DUP and distinct outcome domains are yet to be investigated over such time frames. METHODS Prospective, sequential follow-up studies of an epidemiologically representative first-episode psychosis incidence cohort in Ireland were conducted at 6 months and 4, 8, 12, and 20 years (N=171). Linear mixed-model analyses were applied to determine whether prospective associations of DUP with symptoms, functioning, and quality of life were consistent or varied across psychotic illness trajectory over a 20-year period. Evaluations included time, DUP quartile, and DUP quartile-by-time interaction effects. RESULTS Prospective, sequential follow-ups showed positive and negative symptoms, function, and quality of life to exhibit distinct trajectories of improvement in relation to shorter DUP. Despite heterogeneity in course and relationship to premorbid features, associations between shorter DUP and greater improvement were still evident 20 years after the first psychotic episode. Across the long-term course of psychotic illness, trajectories of association between shorter DUP and better outcome differed between domains of psychopathology, functionality, and quality of life. Nevertheless, such associations with shorter DUP were sustained for at least 20 years. CONCLUSIONS These profiles indicate that while associations between DUP and long-term outcome can vary according to the domain of outcome, they are sustained across decades in a manner that could not be fully accounted for in terms of premorbid features or lead-time bias.
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Affiliation(s)
- Donal O'Keeffe
- DETECT Early Intervention in Psychosis Service, Dublin (O'Keeffe, Clarke); School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin (Kinsella, Waddington); Jiangsu Key Laboratory of Translational Research and Therapy for Neuropsychiatric Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China (Waddington); School of Medicine, University College Dublin (Clarke)
| | - Anthony Kinsella
- DETECT Early Intervention in Psychosis Service, Dublin (O'Keeffe, Clarke); School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin (Kinsella, Waddington); Jiangsu Key Laboratory of Translational Research and Therapy for Neuropsychiatric Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China (Waddington); School of Medicine, University College Dublin (Clarke)
| | - John L Waddington
- DETECT Early Intervention in Psychosis Service, Dublin (O'Keeffe, Clarke); School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin (Kinsella, Waddington); Jiangsu Key Laboratory of Translational Research and Therapy for Neuropsychiatric Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China (Waddington); School of Medicine, University College Dublin (Clarke)
| | - Mary Clarke
- DETECT Early Intervention in Psychosis Service, Dublin (O'Keeffe, Clarke); School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin (Kinsella, Waddington); Jiangsu Key Laboratory of Translational Research and Therapy for Neuropsychiatric Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China (Waddington); School of Medicine, University College Dublin (Clarke)
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13
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Gergov V, Milic B, Löffler-Stastka H, Ulberg R, Vousoura E, Poulsen S. Psychological Interventions for Young People With Psychotic Disorders: A Systematic Review. Front Psychiatry 2022; 13:859042. [PMID: 35401253 PMCID: PMC8987205 DOI: 10.3389/fpsyt.2022.859042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 02/24/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Psychotic disorders are commonly accompanied by intense psychological burden, and psychological interventions are usually needed in order to reduce the symptoms and help in maintaining or improving the level of psychological and social functioning after the onset of psychosis. The evidence-base for treating young people at risk for psychosis and adults with psychotic disorders is accumulating. Yet, pervasive systematic literature reviews that would include patients from the full age range being the most essential period for the risk of developing a psychotic disorder, a wide range of psychological interventions, and various types of clinical trials, have been lacking. The aim of this systematic review is to fill the gap by presenting the current research evidence from clinical trials on the effectiveness of psychological interventions for treating young people (12-30) with psychotic disorders. METHODS A systematic search was conducted in PubMed and PsycINFO followed by a 3-step screening process based on the PICOS strategy. Risk of bias of the included studies was assessed by the Mixed Methods Appraisal Tool (MMAT). Extracted data from the included studies is reported using a narrative synthesis. RESULTS Of the 1,449 publications screened, 40 from 25 studies were included in the review. Of these, 10 studies reported results from cognitive or behavioral therapy, nine from cognitive remediation therapy (CRT), and six from other types of therapies (i.e., integrative interventions combining psychoeducation and family/group interventions). All but one study found the target interventions to be effective, but the results mostly did not differ significantly from the control conditions in reducing symptoms and improving functioning, preventing relapses and hospitalization, or improving psychological or family variables. The most consistent findings were from CRT, showing more improvement in cognitive functioning compared to control conditions while not being superior in reducing symptom severity. Integrative interventions might be effective in treating young people suffering from psychotic disorders. CONCLUSION There is some evidence that psychological interventions are effective for young people with psychotic disorders. However, with regard to symptom severity, psychotherapy does not outperform control conditions, and the results do not strongly favor any specific type of treatment. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020166756], identifier [CRD42020166756].
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Affiliation(s)
- Vera Gergov
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- *Correspondence: Vera Gergov,
| | - Branka Milic
- Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Randi Ulberg
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Eleni Vousoura
- Department of Psychiatry, University of Athens, Athens, Greece
| | - Stig Poulsen
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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14
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Keramatian K, Pinto JV, Schaffer A, Sharma V, Beaulieu S, Parikh SV, Yatham LN. Clinical and demographic factors associated with delayed diagnosis of bipolar disorder: Data from Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. J Affect Disord 2022; 296:506-513. [PMID: 34606817 DOI: 10.1016/j.jad.2021.09.094] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/31/2021] [Accepted: 09/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The diagnosis of Bipolar Disorder (BD) is frequently delayed. In this study, we aimed to examine the clinical and demographic factors associated with delayed diagnosis of BD, defined as the difference between the age at first mood episode (depressive, manic, or hypomanic) and the age at the correct diagnosis of BD, using data from a Canadian multicentre naturalistic study. METHODS The sample included 192 patients with Bipolar I Disorder (BD-I) and 127 with Bipolar II Disorder (BP-II) who participated in the Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. Sociodemographic characteristics and clinical features that had been previously associated with delayed diagnosis of BD were included in the analysis. RESULTS The median delay in diagnosis was 5.0 years in BD-I and 11.0 years in BD-II. Clinical factors such as earlier age of onset, lifetime suicide attempts and comorbid anxiety disorders were associated with a longer delay, whereas the presence of lifetime psychotic symptoms and psychiatric hospitalizations were associated with a shorter delay. Quantile regression analysis showed older age at which professional help was first sought and younger age of onset as predictors of increased delay in diagnosis of BD-I and BD-II. Depression as first episode predicted longer delay in diagnosis of BD-I but not BD-II. CONCLUSION Our findings identified the ongoing lag in identification of a BD diagnosis and the clinical markers most associated with this delay, highlighting the need for implementation of strategies for early identification and interventions in BD.
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Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jairo V Pinto
- University Hospital, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Verinder Sharma
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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15
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Srihari VH, Ferrara M, Li F, Kline E, Gülöksüz S, Pollard JM, Cahill JD, Mathis WS, Yoviene Sykes L, Walsh BC, McDermott G, Seidman LJ, Gueorguieva R, Woods SW, Tek C, Keshavan MS. Reducing the Duration of Untreated Psychosis (DUP) in a US Community: A Quasi-Experimental Trial. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgab057. [PMID: 35295656 PMCID: PMC8919192 DOI: 10.1093/schizbullopen/sgab057] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objective Duration of Untreated Psychosis (DUP) remains unacceptably long and limits effectiveness of care. To determine whether an early detection campaign ("Mindmap") can reduce DUP in a US community setting. Methods In this nonrandomized controlled trial, Mindmap targeted the catchment of one specialty first-episode service or FES (STEP, Greater New Haven) from 2015 to 2019, while usual detection efforts continued at a control FES (PREP, Greater Boston). Mindmap targeted diverse sources of delay through mass & social media messaging, professional outreach & detailing, and rapid enrollment of referrals. Both FES recruited 16-35 years old with psychosis onset ≤3 years. Outcome measures included DUP-Total (onset of psychosis to FES enrollment), DUP-Demand (onset of psychosis to first antipsychotic medication), and DUP-Supply (first antipsychotic medication to FES enrollment). Results 171 subjects were recruited at STEP and 75 at PREP. Mindmap was associated with an increase in the number of referrals and in efficiency of engagement at STEP. Pre-campaign DUP (2014-2015) was equivalent, while Mindmap was associated with DUP reductions at STEP but not PREP. DUP-Total fell significantly in both the first and the second quartile (11.5 and 58.5 days reduction per campaign year, respectively). DUP-Demand and DUP-Supply fell in the third quartiles only (46.3 and 70.3 days reduction per campaign year, respectively). No reductions were detectable across all quartiles at PREP, but between site comparisons were not significant. Conclusions This is the first controlled demonstration of community DUP reduction in the US, and can inform future early detection efforts across diverse settings.
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Affiliation(s)
- Vinod H Srihari
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Maria Ferrara
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
- Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Fangyong Li
- Yale Center for Analytical Sciences (YCAS), Yale School of Public Health, New Haven, CT, USA
| | - Emily Kline
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sinan Gülöksüz
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jessica M Pollard
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - John D Cahill
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Walter S Mathis
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Laura Yoviene Sykes
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Barbara C Walsh
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | | | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ralitza Gueorguieva
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Scott W Woods
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Cenk Tek
- Program for Specialized Treatment Early in Psychosis (STEP), Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA, USA
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Belvederi Murri M, Bertelli R, Carozza P, Berardi L, Cantarelli L, Croce E, Antenora F, Curtarello EMA, Simonelli G, Recla E, Girotto B, Grassi L. First-episode psychosis in the Ferrara Mental Health Department: Incidence and clinical course within the first 2 years. Early Interv Psychiatry 2021; 15:1738-1748. [PMID: 33264815 DOI: 10.1111/eip.13095] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 11/14/2020] [Accepted: 11/17/2020] [Indexed: 01/26/2023]
Abstract
AIM To examine the incidence of with first-episode psychosis (FEP) in the Integrated Department of Mental Health and Pathological Addictions in Ferrara, Italy, and to examine the association between the Duration of Untreated Psychosis (DUP) and the clinical course. METHODS Participants recruited in 2013-2019 were assessed with the Health of the Nation Outcome Scale (HoNOS) every 6 months for 24 months. Hierarchical growth models analysed changes of global severity (HoNOS total scores) and symptom dimensions. Regression modelled factors associated with remission (HoNOS < 8) and clinical improvement (<12). RESULTS The incidence of FEP was 21.5 (95%CI: 21.2-21.9) cases per 100 000 person year. Among participants (n = 86, mean age 23, 76% males), baseline HoNOS scores were higher for those with a longer DUP. More than half subjects reached clinical remission (61.6%) or improvement (82.6%), while very few (2.3%) were re-hospitalized. HoNOS total scores decayed with a mixed linear/quadratic trend, with a slower decay among migrants. A longer DUP was associated with reduced improvements of positive symptoms and lower likelihood of clinical improvement (OR: 0.84; 95%CI: 0.73-0.96). CONCLUSIONS Patients from the FEP program of Ferrara reached good clinical outcomes. Nonetheless, individuals with a longer DUP may need additional clinical attention. Systematic monitoring of clinical outcomes may be an optimal strategy to improve the outcomes of FEP in the real world.
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Affiliation(s)
- Martino Belvederi Murri
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy.,Integrated Department of Mental Health and Pathological Addictions, Ferrara, Italy
| | - Raffaella Bertelli
- Integrated Department of Mental Health and Pathological Addictions, Ferrara, Italy
| | - Paola Carozza
- Integrated Department of Mental Health and Pathological Addictions, Ferrara, Italy
| | - Lorenzo Berardi
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Luca Cantarelli
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Enrico Croce
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Fabio Antenora
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | | | - Gabriele Simonelli
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Elisabetta Recla
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Barbara Girotto
- Integrated Department of Mental Health and Pathological Addictions, Ferrara, Italy
| | - Luigi Grassi
- Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy.,Integrated Department of Mental Health and Pathological Addictions, Ferrara, Italy
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Ferrara M, Guloksuz S, Mathis WS, Li F, Lin IH, Syed S, Gallagher K, Shah J, Kline E, Tek C, Keshavan M, Srihari VH. First help-seeking attempt before and after psychosis onset: measures of delay and aversive pathways to care. Soc Psychiatry Psychiatr Epidemiol 2021; 56:1359-1369. [PMID: 33948678 PMCID: PMC8319102 DOI: 10.1007/s00127-021-02090-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 04/07/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Delay in receiving effective treatment for psychosis adversely impacts outcomes. We investigated the timing of the first help-seeking attempt in individuals with recent onset non-affective psychosis by comparing those who sought help during the prodrome to those who sought help after psychosis onset across sociodemographic and clinical characteristics, overall functioning, and occurrence of aversive events during their pathways to care. METHODS Patients were admitted from February 1st, 2014 to January 31st, 2019 to the Program for Specialized Treatment Early in Psychosis (STEP) in New Haven, CT. Psychosis-onset date was ascertained using the Structured Interview for Psychosis-risk Syndromes. Key dates before and after psychosis onset, along with initiators and aversive events, were collected via semi-structured interview. RESULTS Within 168 individuals, 82% had their first help-seeking episode after psychosis onset and did not differ in terms of sociodemographic characteristics from prodrome help seekers. When the first help-seeking episode started before (i.e., during prodrome) vs after psychosis onset it was mostly initiated by patients vs family members (Cramer's V = 0.23, p = 0.031) and led to a faster prescription of an antipsychotic once full-blown psychosis emerged (time to antipsychotic since psychosis onset = 21 vs 56 days, p = 0.03). No difference in aversive events before STEP enrollment was detected across groups. CONCLUSION Help seeking during the prodrome is associated with faster initiation of antipsychotic treatment and is more likely to be self-initiated, compared to help seeking after psychosis onset. Early detection efforts that target prodromal samples may improve the length and experience of pathways to care.
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Affiliation(s)
- Maria Ferrara
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA.
- Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA.
| | - Sinan Guloksuz
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Department of Psychiatry and Neuropsychology, MHeNs, Maastricht University, Maastricht, The Netherlands
| | - Walter S Mathis
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA
| | - Fangyong Li
- Center for Science and Social Science Information, YCAS Yale University, PO Box 208111, New Haven, CT, 06520, USA
| | - I-Hsin Lin
- Center for Science and Social Science Information, YCAS Yale University, PO Box 208111, New Haven, CT, 06520, USA
| | - Sumaiyah Syed
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA
| | - Keith Gallagher
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA
| | - Jai Shah
- PEPP-Montreal, Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Emily Kline
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Cenk Tek
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Vinod H Srihari
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA
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