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Moon KJ, Stephenson S, Hasenstab KA, Sridhar S, Seiber EE, Breitborde NJK, Nawaz S. Policy Complexities in Financing First Episode Psychosis Services: Implementation Realities from a Home Rule State. J Behav Health Serv Res 2024; 51:132-145. [PMID: 38017296 DOI: 10.1007/s11414-023-09865-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 11/30/2023]
Abstract
Over the past decade, significant investments have been made in coordinated specialty care (CSC) models for first episode psychosis (FEP), with the goal of promoting recovery and preventing disability. CSC programs have proliferated as a result, but financing challenges imperil their growth and sustainability. In this commentary, the authors discuss (1) entrenched and emergent challenges in behavioral health policy of consequence for CSC financing; (2) implementation realities in the home rule context of Ohio, where significant variability exists across counties; and (3) recommendations to improve both care quality and access for individuals with FEP. The authors aim to provoke careful thought about policy interventions to bridge science-to-service gaps, and in this way, advance behavioral health equity.
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Affiliation(s)
- Kyle J Moon
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Kathryn A Hasenstab
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
| | - Srinivasan Sridhar
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
| | - Eric E Seiber
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
- Division of Health Services Management and Policy, Ohio State University College of Public Health, Columbus, OH, USA
| | - Nicholas J K Breitborde
- Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, OH, USA
- Department of Psychology, Ohio State University, Columbus, OH, USA
| | - Saira Nawaz
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA.
- Division of Health Services Management and Policy, Ohio State University College of Public Health, Columbus, OH, USA.
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2
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Meneghelli A, Ciancaglini P, Di Domenico M, Mazzola A, Ghio L, Preti A. Implementation of early intervention clinical services within the National Health System in Italy: Third wave survey with focus on structures, resources, and fidelity to the evidence-based model. Early Interv Psychiatry 2023; 17:884-892. [PMID: 36682817 DOI: 10.1111/eip.13380] [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: 04/26/2022] [Revised: 08/23/2022] [Accepted: 01/02/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Early intervention in psychosis (EIP) is a well-established approach aimed at detecting and treating early signs and symptoms of psychosis to prevent its long-term consequences. The present study aimed at detailing the current status of EIP services in Italy, covering all the Departments of Mental Health (DMHs) operating in 2018. METHODS All directors of public DMHs operating in Italy in 2018 (n = 127) were invited to fill in a Census form about EIP structure and activities. The first episode psychosis services fidelity scale (FEPS-FS) was used to investigate fidelity to the EIP model of the centre. RESULTS An active EIP service was reported by 41 DMHs (32% of the total DMHs; 56% of those who took part in the survey). Most EIP services had an autonomous team. The large majority of the Italian EIP centres provided psychosocial interventions to their patients, principally psychotherapy, family support, and psychoeducation. Among those with an active EIP, 29 DMHs filled in the FEPS-FS. Internal consistency was good when based on the replies of the respondents, but reliability was weak when measured on the basis of an independent evaluation (Cohen's kappa = 0.571). The fidelity to the guidelines for early intervention was uneven, with some criteria met by most centres, especially those peculiar to the Italian community psychiatry. CONCLUSION A further spreading of the early intervention model across the Italian DMHs was found. A lack of resources might limit the use of specific psychosocial treatments, such as cognitive-behavioural therapy or manualized family support.
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Affiliation(s)
- Anna Meneghelli
- Associazione Italiana per la Prevenzione e l'Intervento Precoce nella Salute Mentale, Milan, Italy
| | - Panfilo Ciancaglini
- Associazione Italiana per la Prevenzione e l'Intervento Precoce nella Salute Mentale, Milan, Italy
| | - Marina Di Domenico
- Associazione Italiana per la Prevenzione e l'Intervento Precoce nella Salute Mentale, Milan, Italy
| | - Andrea Mazzola
- Associazione Italiana per la Prevenzione e l'Intervento Precoce nella Salute Mentale, Milan, Italy
| | - Lucio Ghio
- Department of Mental Health and Addiction, Azienda Sanitaria Locale 3 (ASL3) Genova, Genoa, Italy
| | - Antonio Preti
- Associazione Italiana per la Prevenzione e l'Intervento Precoce nella Salute Mentale, Milan, Italy
- Department of Neuroscience, University of Turin, Turin, Italy
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Hui CLM, Wong AKH, Ho ECN, Lam BST, Hui PWM, Tao TJ, Chang WC, Chan SKW, Lee EHM, Suen YN, Lam MML, Chiu CPY, Li FWS, Leung KF, McGhee SM, Law CW, Chung DWS, Yeung WS, Yiu MGC, Pang EPF, Tso S, Lui SSY, Hung SF, Lee WK, Yip KC, Kwan KL, Ng RMK, Sham PC, Honer WG, Chen EYH. Effectiveness and optimal duration of early intervention treatment in adult-onset psychosis: a randomized clinical trial. Psychol Med 2023; 53:2339-2351. [PMID: 35144700 DOI: 10.1017/s0033291721004189] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Contrasting the well-described effects of early intervention (EI) services for youth-onset psychosis, the potential benefits of the intervention for adult-onset psychosis are uncertain. This paper aims to examine the effectiveness of EI on functioning and symptomatic improvement in adult-onset psychosis, and the optimal duration of the intervention. METHODS 360 psychosis patients aged 26-55 years were randomized to receive either standard care (SC, n = 120), or case management for two (2-year EI, n = 120) or 4 years (4-year EI, n = 120) in a 4-year rater-masked, parallel-group, superiority, randomized controlled trial of treatment effectiveness (Clinicaltrials.gov: NCT00919620). Primary (i.e. social and occupational functioning) and secondary outcomes (i.e. positive and negative symptoms, and quality of life) were assessed at baseline, 6-month, and yearly for 4 years. RESULTS Compared with SC, patients with 4-year EI had better Role Functioning Scale (RFS) immediate [interaction estimate = 0.008, 95% confidence interval (CI) = 0.001-0.014, p = 0.02] and extended social network (interaction estimate = 0.011, 95% CI = 0.004-0.018, p = 0.003) scores. Specifically, these improvements were observed in the first 2 years. Compared with the 2-year EI group, the 4-year EI group had better RFS total (p = 0.01), immediate (p = 0.01), and extended social network (p = 0.05) scores at the fourth year. Meanwhile, the 4-year (p = 0.02) and 2-year EI (p = 0.004) group had less severe symptoms than the SC group at the first year. CONCLUSIONS Specialized EI treatment for psychosis patients aged 26-55 should be provided for at least the initial 2 years of illness. Further treatment up to 4 years confers little benefits in this age range over the course of the study.
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Affiliation(s)
| | | | - Elise Chun Ning Ho
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | | | | | | | - Wing Chung Chang
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Sherry Kit Wa Chan
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Edwin Ho Ming Lee
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Yi Nam Suen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - May Mei Ling Lam
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Cindy Pui Yu Chiu
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Frendi Wing Sai Li
- Department of Psychology, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Kwok Fai Leung
- Department of Occupational Therapy, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Sarah M McGhee
- School of Public Health, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Chi Wing Law
- Department of Psychiatry, Queen Mary Hospital, Pok Fu Lam, Hong Kong
| | | | - Wai Song Yeung
- Department of Psychiatry, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong
| | | | - Edwin Pui Fai Pang
- Department of Psychiatry, United Christian Hospital, Kwun Tong, Hong Kong
| | - Steve Tso
- Department of Psychiatry, Castle Peak Hospital, Tuen Mun, Hong Kong
| | - Simon Sai Yu Lui
- Department of Psychiatry, Castle Peak Hospital, Tuen Mun, Hong Kong
| | - Se Fong Hung
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
- Department of Psychiatry, Kwai Chung Hospital, Kwai Chung, Hong Kong
| | - Wing King Lee
- Department of Psychiatry, Kwai Chung Hospital, Kwai Chung, Hong Kong
| | - Ka Chee Yip
- Department of Psychiatry, Kowloon Hospital, Kadoorie Hill, Hong Kong
| | - Ka Lik Kwan
- Department of Psychiatry, Kowloon Hospital, Kadoorie Hill, Hong Kong
| | - Roger Man Kin Ng
- Department of Psychiatry, Kowloon Hospital, Kadoorie Hill, Hong Kong
| | - Pak Chung Sham
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pok Fu Lam, Hong Kong
- Department of Psychiatry, King's College London, London, UK
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Eric Yu Hai Chen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pok Fu Lam, Hong Kong
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The History of Coordinated Specialty Care for Early Intervention in Psychosis in the United States: A Review of Effectiveness, Implementation, and Fidelity. Community Ment Health J 2022; 58:835-846. [PMID: 34519947 DOI: 10.1007/s10597-021-00891-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/28/2021] [Indexed: 10/20/2022]
Abstract
Coordinated Specialty Care (CSC) is a multidisciplinary team approach to providing care for young and emerging adults having their first episode of psychosis. CSC programs have expanded rapidly throughout the United States going from 12 programs in 2008 to over 160 programs a decade later. The purpose of this historical review is to document the process and conditions that led to the accelerated dissemination of these programs across the country. CSC models began in the US in the early 2000s, but nationwide expansion followed the 2008 Recovery After an Initial Schizophrenia Episode trial. As programs have grown, debates have risen about fidelity to CSC models. The challenges facing CSC programs today include lack of evidence on what are the core components of CSC and how fidelity monitoring relates to positive client outcomes.
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Park AL, Rinaldi M, Brinchmann B, Killackey E, Aars NAP, Mykletun A, McDaid D. Economic analyses of supported employment programmes for people with mental health conditions: A systematic review. Eur Psychiatry 2022; 65:e51. [PMID: 35983840 PMCID: PMC9491084 DOI: 10.1192/j.eurpsy.2022.2309] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Abstract
Background
Employment is intrinsic to recovery from mental health conditions, helping people live independently. Systematic reviews indicate supported employment (SE) focused on competitive employment, including individual placement and support (IPS), is effective in helping people with mental health conditions into work. Evidence is limited on cost-effectiveness. We comprehensively reviewed evidence on the economic case for SE/IPS programmes.
Methods
We searched PubMed/MEDLINE, EMBASE, PsycINFO, CINAHL, IBSS, Business Source Complete, and EconLit for economic and return on investment analyses of SE/IPS programmes for mental health conditions. Traditional vocational rehabilitation, sheltered work, and return to work initiatives after sickness absence of less than 1 year were excluded. Studies were independently screened by two reviewers. We assessed quality using the Consolidate Health Economic Evaluation Reporting Standards checklist. The protocol was preregistered with PROSPERO-CRD42020184359.
Results
From 40,015 references, 28 studies examined the economic case for IPS, four IPS augmented by another intervention, and 24 other forms of SE. Studies were very heterogenous, quality was variable. Of 41 studies with quality scores over 50%, 10 reported cost per quality-adjusted life year gained, (8 favourable to SE/IPS), 14 net monetary benefits (12 positive), 5 return on investment (4 positive), and 20 cost per employment outcome (14 favorable, 5 inconclusive, 1 negative). Totally, 24 of these 41 studies had monetary benefits that more than outweighed the additional costs of SE/IPS programmes.
Conclusions
There is a strong economic case for the implementation of SE/IPS programmes. The economic case is conservative as evidence on long-term impacts of programmes is limited.
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O'Driscoll C, Shaikh M, Finamore C, Platt B, Pappa S, Saunders R. Profiles and trajectories of mental health service utilisation during early intervention in psychosis. Schizophr Res 2021; 237:47-53. [PMID: 34500375 DOI: 10.1016/j.schres.2021.08.023] [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: 11/20/2020] [Revised: 08/23/2021] [Accepted: 08/23/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Early intervention in psychosis services (EIS) support individuals experiencing a first episode of psychosis. Support required will vary in response to the remittance and reoccurrence of symptoms, including relapses. Characterising individuals who will need more intensive support can inform care planning. This study explores service utilisation profiles and their trajectories of service use in a sample of individuals referred to EIS. METHOD We analysed service utilisation during the 3 years following referral to EIS (n = 2363) in West London between 2011 and 2020. Mental health service utilisation data were submitted to model-based clustering. Latent growth models were then estimated for identified profiles. Profiles were compared regarding clinical and demographic characteristics and onward pathways of care. RESULTS Analyses revealed 5 profiles of individuals attending EIS based on their service utilisation over 3 years. 55.5% of the sample were members of a low utilisation and less clinically severe profile. The distinct service use patterns of these profiles were associated with Health of the Nations Outcome Scale scores at treatment initiation (at total, subscale, and individual item level), along with age and gender. These patterns of use were also associated with onward care and ethnicity. CONCLUSIONS Profiles and trajectories of service utilisation call for development of integrated care pathways and use of more personalised interventions. Services should consider patient symptoms and characteristics when making clinical decisions informing the provision of care. The profiles represent typical patterns of service use, and identifying factors associated with these subgroups might help optimise EIS support.
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Affiliation(s)
- Ciarán O'Driscoll
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.
| | - Madiha Shaikh
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK; North East London NHS Foundation Trust, London, UK
| | | | | | | | - Robert Saunders
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
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Williams G, Farrelly S, Thompson A, Stavely H, Albiston D, van der El K, McGorry P, Killackey E. The utility of a fidelity measure to monitor implementation of new early psychosis services across Australia. Early Interv Psychiatry 2021; 15:1382-1388. [PMID: 33611827 DOI: 10.1111/eip.13074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/25/2020] [Accepted: 11/11/2020] [Indexed: 11/26/2022]
Abstract
AIM Early psychosis delivery models have proliferated worldwide, but there is limited research into establishing model fidelity. In this context, this article aims to describe the development and implementation of a fidelity tool in a national network of early psychosis services across Australia-the headspace Early Psychosis program. METHODS Following a detailed consultation process, and based on the Australian Early Psychosis model, an 80-item Early Psychosis Prevention and Intervention Centre Model Integrity Tool (EMIT) was developed along with predefined thresholds for fidelity. The tool was used to assess adherence to the model in six clusters of service sites across Australia. Ratings on the EMIT were informed by interviews with site staff and young people receiving the service, routinely collected data and site policies and procedures. RESULTS All six clusters of headspace Early Psychosis programs participated in five fidelity assessments across a period of two and a half years. In the initial two visits, the average fidelity score was in the 'low' fidelity range (i.e., <75%). By the fifth fidelity visit, the network average improved to 92.35%, reflecting 'superior' fidelity. CONCLUSIONS Results of the longitudinal fidelity assessments indicate the successful implementation of the Australian Early Psychosis model across the headspace Early Psychosis program. Utilisation of ongoing fidelity assessments has proved an effective method to improve and maintain adherence to the model.
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Affiliation(s)
| | | | - Andrew Thompson
- Orygen, Parkville, Australia.,Melbourne Health, Melbourne, Australia
| | | | | | | | | | - Eóin Killackey
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
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O'Driscoll C, Free K, Attard A, Carter P, Mason J, Shaikh M. Transitioning to age inclusive early intervention for psychosis. Early Interv Psychiatry 2021; 15:34-40. [PMID: 31742904 DOI: 10.1111/eip.12905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 10/16/2019] [Accepted: 10/31/2019] [Indexed: 12/24/2022]
Abstract
AIM Early Intervention in psychosis Services (EIS) have previously restricted access based on age. However, there is now a move to age inclusive service. We aimed to examine differences between early and late onset (>35 years) psychosis to see if a threshold was valid. We also investigated the potential of a statistical modelling method to identify group characteristics which may be missed using a descriptive approach. METHODS Routine clinical data (n = 343), from an EIS, comprising socio-demographic, clinical, physical and treatment variables, were examined using descriptive and classification and regression tree (CART) analysis. RESULTS The findings suggest that age differences were best explained by social factors. There was no emerging evidence that the differences exhibited had a fundamental impact on the clinical outcomes of the clients in terms of support beyond EIS (ie, hospitalization and home treatment team involvement) and pharmacological and psychological interventions. CART analysis revealed distinct service user characteristics associated with the clinical outcomes. CONCLUSION There was no evidence to support a clinical cut off based on age providing support for age inclusive services. However, in the transition to age inclusive service delivery, EIS need to consider social/life stage variables, adapting provision where service delivery may operate a youth focused model. Routine analysis of clinical data should employ methods to identify groups of service users who may require adjusted service provision.
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Affiliation(s)
- Ciarán O'Driscoll
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Katherine Free
- Division of Psychiatry, University College London, London, UK
| | | | - Peter Carter
- North East London NHS Foundation Trust, London, UK
| | - Jemma Mason
- North East London NHS Foundation Trust, London, UK
| | - Madiha Shaikh
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.,North East London NHS Foundation Trust, London, UK
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Aceituno D, Pennington M, Iruretagoyena B, Prina AM, McCrone P. Health State Utility Values in Schizophrenia: A Systematic Review and Meta-Analysis. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2020; 23:1256-1267. [PMID: 32940244 DOI: 10.1016/j.jval.2020.05.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 04/03/2020] [Accepted: 05/20/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES Patient preferences are increasingly important in informing clinical and policy decisions. Health-state utility values (HSUVs) are quantitative measures of people's preferences over different health states. In schizophrenia, there is no clarity about HSUVs across the symptoms' severity spectrum. This meta-analysis aims to synthesize the literature on HSUVs in people with schizophrenia. METHODS We searched Medline, PsycInfo, Embase, EconLit, The Cochrane Library, and specialized databases. The studies reporting HSUVs in people with schizophrenia were selected and pooled in a random-effects meta-analysis. The primary outcome was the mean HSUV obtained from participants. RESULTS A total of 54 studies involving 87 335 participants were included. The pooled estimate using direct elicitation was a mean HSUV of 0.79 (95% CI: 0.70-0.88) for mild symptomatic states, 0.69 (95% CI: 0.54-0.85) in moderate states, and 0.34 (95% CI: 0.13-0.56) in severe states. Studies using indirect techniques resulted in a pooled mean HSUV of 0.73 (95% CI: 0.67-0.78) applying the EuroQol 5-dimension, 0.66 (95% CI: 0.62-0.71) in the Short-Form 6-dimension, and 0.59 (95% CI: 0.57-0.61) using the Quality of Well-Being scale. All the estimates resulted in considerable heterogeneity, partially reduced by meta-regression. CONCLUSION Our findings suggest that the severity of psychotic symptoms has an important effect on HSUVs in schizophrenia, with values mirroring patients with disabling physical conditions such as cancer and stroke. Decision makers should be aware of these results when including people's preferences in trials, models, and policy decisions.
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Affiliation(s)
- David Aceituno
- Health Service & Population Research Department, Institute of Psychiatry, Psychology and Neuroscience. King's College London, London, United Kingdom; Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - Mark Pennington
- Health Service & Population Research Department, Institute of Psychiatry, Psychology and Neuroscience. King's College London, London, United Kingdom
| | - Barbara Iruretagoyena
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Early Intervention Program, J. Horwitz Psychiatric Institute, Santiago, Chile
| | - A Matthew Prina
- Health Service & Population Research Department, Institute of Psychiatry, Psychology and Neuroscience. King's College London, London, United Kingdom
| | - Paul McCrone
- Healthcare Economics, Institute for Lifecourse Development, University of Greenwich, London, United Kingdom
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Early Intervention in Psychosis Treatment Components Utilization in Patients Aged Over 35. Community Ment Health J 2020; 56:206-210. [PMID: 31564011 DOI: 10.1007/s10597-019-00479-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 09/24/2019] [Indexed: 10/25/2022]
Abstract
Early Intervention in Psychosis (EIP) services have been youth-focused since their inception. In England, recent National Institute for Health and Care Excellence (NICE) guidelines and new National Health Service (NHS) Standards for EIP recommend the expansion of the age acceptability criterion from 14-35 to 14-65. In the Cambridgeshire and Peterborough EIP service (CAMEO), we ran a service evaluation to assess the initial impact of this policy change. It aimed to elicit EIP treatment components utilization by patients with first-episode psychosis (FEP) aged over 35, in comparison with those under 35. We found that the over-35s required more contacts from EIP healthcare professionals, especially from care coordinators (coefficient = .239; Robust SE = .102; Z = 6.42; p = 0.019) and social workers (coefficient = 18.462; Robust SE = .692; Z = .016; p < 0.001). These findings indicate that FEP patients aged over 35 may present with more complex and sustained clinical/social needs. This may have implications for EIP service development and commissioning.
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Mueser KT, Meyer-Kalos PS, Glynn SM, Lynde DW, Robinson DG, Gingerich S, Penn DL, Cather C, Gottlieb JD, Marcy P, Wiseman JL, Potretzke S, Brunette MF, Schooler NR, Addington J, Rosenheck RA, Estroff SE, Kane JM. Implementation and fidelity assessment of the NAVIGATE treatment program for first episode psychosis in a multi-site study. Schizophr Res 2019; 204:271-281. [PMID: 30139553 PMCID: PMC6382606 DOI: 10.1016/j.schres.2018.08.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 06/18/2018] [Accepted: 08/12/2018] [Indexed: 11/19/2022]
Abstract
The NAVIGATE program was developed for the Recovery After Initial Schizophrenia Episode-Early Treatment Program (RAISE-ETP) study, which compared NAVIGATE to usual Community Care in a cluster randomized design involving 34 sites and 404 patients. This article describes the approach to training and implementing the NAVIGATE program at the 17 sites (including 134 practitioners) randomized to provide it, and to evaluating the fidelity of service delivery to the NAVIGATE model. Fidelity was evaluated to five different components of the program, all of which were standardized in manuals in advance of implementation. The components included four interventions (Individualized Resiliency Training, Family Education Program, Supported Employment and Education, Personalized Medication Management) and the overall organization (staffing and structure) of the NAVIGATE team. Most of the sites demonstrated acceptable or higher levels of fidelity in their implementation of the four interventions and the organization of the program, with all 17 sites demonstrating at least acceptable overall fidelity to the NAVIGATE program. The results indicate that the NAVIGATE program can be implemented with good fidelity to the treatment model in a diverse array of community mental health care settings serving persons with a first episode psychosis.
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Affiliation(s)
- Kim T Mueser
- Boston University, Center for Psychiatric Rehabilitation, Departments of Occupational Therapy, Psychiatry, and Psychology, Boston, MA, USA.
| | - Piper S Meyer-Kalos
- University of Minnesota, School of Social Work, Minnesota Center for Chemical and Mental Health, St. Paul, MN, USA.
| | - Shirley M Glynn
- Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - David W Lynde
- Geisel School of Medicine at Dartmouth, Department of Psychiatry, Lebanon, NH, USA
| | - Delbert G Robinson
- Zucker Hillside Hospital, Psychiatry Research, North Shore - Long Island Jewish Medical Center, Glen Oaks, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA; Albert Einstein College of Medicine, Department of Psychiatry and Behavioral Sciences, Bronx, NY, USA
| | | | - David L Penn
- University of North Carolina-Chapel Hill, Department of Psychology, Chapel Hill, NC, USA; Australian Catholic University, School of Psychology, Melbourne, VIC, Australia
| | | | - Jennifer D Gottlieb
- Boston University, Center for Psychiatric Rehabilitation, Departments of Occupational Therapy, Psychiatry, and Psychology, Boston, MA, USA
| | | | - Jennifer L Wiseman
- University of Minnesota, Minnesota Center for Chemical and Mental Health, St. Paul, MN, USA
| | - Sheena Potretzke
- Oregon Health and Science University, Department of Behavioral Neuroscience, Portland, OR, USA
| | - Mary F Brunette
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA; Bureau of Mental Health Services, Department of Health and Human Services, Concord, NH, USA
| | - Nina R Schooler
- Zucker Hillside Hospital, Psychiatry Research, North Shore - Long Island Jewish Medical Center, Glen Oaks, NY, USA; SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, USA
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Canada
| | | | - Sue E Estroff
- Department of Social Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - John M Kane
- Zucker Hillside Hospital, Psychiatry Research, North Shore - Long Island Jewish Medical Center, Glen Oaks, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA; Albert Einstein College of Medicine, Department of Psychiatry and Behavioral Sciences, Bronx, NY, USA
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