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Aceituno D, Razzouk D, Jin H, Pennington M, Gadelha A, Bressan R, Noto C, Crossley N, Prina M. Cost-effectiveness of early intervention in psychosis in low- and middle-income countries: economic evaluation from São Paulo, Brazil. Epidemiol Psychiatr Sci 2024; 33:e21. [PMID: 38576239 PMCID: PMC11022262 DOI: 10.1017/s2045796024000222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 01/16/2024] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
AIMS The effectiveness and cost-effectiveness of early intervention for psychosis (EIP) services are well established in high-income countries but not in low- and middle-income countries (LMICs). Despite the scarcity of local evidence, several EIP services have been implemented in LMICs. Local evaluations are warranted before adopting speciality models of care in LMICs. We aimed to estimate the cost-effectiveness of implementing EIP services in Brazil. METHODS A model-based economic evaluation of EIP services was conducted from the Brazilian healthcare system perspective. A Markov model was developed using a cohort study conducted in São Paulo. Cost data were retrieved from local sources. The outcome of interest was the incremental cost-effectiveness ratio (ICER) measured as the incremental costs over the incremental quality-adjusted life-years (QALYs). Sensitivity analyses were performed to test the robustness of the results. RESULTS The study included 357 participants (38% female), with a mean (SD) age of 26 (7.38) years. According to the model, implementing EIP services in Brazil would result in a mean incremental cost of 4,478 Brazilian reals (R$) and a mean incremental benefit of 0.29 QALYs. The resulting ICER of R$ 15,495 (US dollar [USD] 7,640 adjusted for purchase power parity [PPP]) per QALY can be considered cost-effective at a willingness-to-pay threshold of 1 Gross domestic product (GDP) per capita (R$ 18,254; USD 9,000 PPP adjusted). The model results were robust to sensitivity analyses. CONCLUSIONS This study supports the economic advantages of implementing EIP services in Brazil. Although cultural adaptations are required, these data suggest EIP services might be cost-effective even in less-resourced countries.
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Affiliation(s)
- D. Aceituno
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
- King’s Health Economics, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, David Goldberg Centre, London, UK
- Mental Health Service, Complejo Asistencial Dr. Sotero del Rio, Puente Alto, Chile
| | - D. Razzouk
- Centre of Mental Health Economics, Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
| | - H. Jin
- King’s Health Economics, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, David Goldberg Centre, London, UK
| | - M. Pennington
- King’s Health Economics, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, David Goldberg Centre, London, UK
| | - A. Gadelha
- Schizophrenia Program (PROESQ), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - R. Bressan
- Schizophrenia Program (PROESQ), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - C. Noto
- Schizophrenia Program (PROESQ), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - N. Crossley
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - M. Prina
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Population Health Sciences Institute, Newcastle University, Newcastle, UK
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Ologundudu OM, Palaniyappan L, Cipriano LE, Wijnen BFM, Anderson KK, Ali S. Risk stratification for treating people at ultra-high risk for psychosis: A cost-effectiveness analysis. Schizophr Res 2023; 261:225-233. [PMID: 37804598 DOI: 10.1016/j.schres.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 10/09/2023]
Abstract
People who are at ultra-high risk (UHR) for psychosis receive clinical care with the aim to prevent first-episode psychosis (FEP), regardless of the risk of conversion to psychosis. An economic model from the Canadian health system perspective was developed to evaluate the cost-effectiveness of treating all with UHR compared to risk stratification over a 15-year time horizon, based on conversion probability, expected quality-of-life and costs. The analysis used a decision tree followed by a Markov model. Health states included: Not UHR, UHR with <20 % risk of conversion to FEP (based on the North American Prodrome Longitudinal Study risk calculator), UHR with ≥20 % risk, FEP, Remission, Post-FEP, and Death. The analysis found that: risk stratification (i.e., only treating those with ≥20 % risk) had lower costs ($1398) and quality-adjusted life-years (0.055 QALYs) per person compared to treating all. The incremental cost-effectiveness ratio for 'treat all' was $25,448/QALY, and suggests treating all may be cost-effective. The model was sensitive to changes to the probability of conversion.
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Affiliation(s)
- Olajumoke M Ologundudu
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lena Palaniyappan
- Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Lauren E Cipriano
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Ivey Business School, Western University, London, Ontario, Canada
| | - Ben F M Wijnen
- Centre of Economic Evaluation (Trimbos Institute), Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Kelly K Anderson
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Shehzad Ali
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Department of Health Sciences, University of York, United Kingdom; Department of Psychology, Macquarie University, Australia.
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Jin H, Tappenden P, Ling X, Robinson S, Byford S. A systematic review of whole disease models for informing healthcare resource allocation decisions. PLoS One 2023; 18:e0291366. [PMID: 37708188 PMCID: PMC10501624 DOI: 10.1371/journal.pone.0291366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 08/28/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Whole disease models (WDM) are large-scale, system-level models which can evaluate multiple decision questions across an entire care pathway. Whilst this type of model can offer several advantages as a platform for undertaking economic analyses, the availability and quality of existing WDMs is unknown. OBJECTIVES This systematic review aimed to identify existing WDMs to explore which disease areas they cover, to critically assess the quality of these models and provide recommendations for future research. METHODS An electronic search was performed on multiple databases (MEDLINE, EMBASE, the NHS Economic Evaluation Database and the Health Technology Assessment database) on 23rd July 2023. Two independent reviewers selected studies for inclusion. Study quality was assessed using the National Institute for Health and Care Excellence (NICE) appraisal checklist for economic evaluations. Model characteristics were descriptively summarised. RESULTS Forty-four WDMs were identified, of which thirty-two were developed after 2010. The main disease areas covered by existing WDMs are heart disease, cancer, acquired immune deficiency syndrome and metabolic disease. The quality of included WDMs is generally low. Common limitations included failure to consider the harms and costs of adverse events (AEs) of interventions, lack of probabilistic sensitivity analysis (PSA) and poor reporting. CONCLUSIONS There has been an increase in the number of WDMs since 2010. However, their quality is generally low which means they may require significant modification before they could be re-used, such as modelling AEs of interventions and incorporation of PSA. Sufficient details of the WDMs need to be reported to allow future reuse/adaptation.
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Affiliation(s)
- Huajie Jin
- King’s Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King’s College London, London, United Kingdom
| | - Paul Tappenden
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
| | - Xiaoxiao Ling
- Department of Statistical Science, University College London, London, United Kingdom
| | | | - Sarah Byford
- King’s Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King’s College London, London, United Kingdom
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Svendsen VG, Lokkerbol J, Danner U, Jansingh A, Evers SM, Wijnen BF. Design and testing of a health economic Markov model for treatment of anorexia nervosa. Expert Rev Pharmacoecon Outcomes Res 2022; 22:1243-1251. [PMID: 36047856 DOI: 10.1080/14737167.2022.2119130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Anorexia Nervosa (AN) is a severe psychiatric disorder and knowledge about the cost-effectiveness of potential interventions is limited. The aim of this paper is to introduce the Trimbos Institute health economic cost-effectiveness model for Anorexia Nervosa (AnoMod-TI), a flexible modelling tool for assessing the long-term cost-effectiveness of interventions for AN in late adolescent and adult patients, which could support clinical decision making. METHODS AnoMod-TI is a state-transition cohort simulation (Markov) model developed from a Dutch societal perspective, which consists of four health states - namely full remission (FR), partial remission (PR), AN and death. Results are expressed as total healthcare costs, QALYs and incremental cost-effectiveness ratio. RESULTS For the purpose of demonstrating AnoMod-TI and how it could be used to estimate cost-effectiveness over a 20-year time horizon, it was applied to a hypothetical treatment scenario. Results illustrate how a relatively costly intervention with only modest effects can still be cost-effective in the long term. CONCLUSIONS AnoMod -TI can be used to examine long-term cost-effectiveness of various interventions aimed at either treating AN or preventing relapse from a state of partial or full remission. AnoMod-TI is freely available upon request to the authors.
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Affiliation(s)
- Vegard G Svendsen
- Center for Economic Evaluation & Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands.,Department of Clinical and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, The Netherlands.,Norwegian Centre for Addiction Research, SERAF, University of Oslo, Oslo, Norway
| | - Joran Lokkerbol
- Center for Economic Evaluation & Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands
| | - Unna Danner
- Altrecht Eating Disorders Rintveld, Zeist, The Netherlands.,Department of Clinical Psychology, Utrecht University, Utrecht, The Netherlands
| | | | - Silvia Maa Evers
- Center for Economic Evaluation & Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands.,Department of Clinical and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Health Services Research, Care and Public Health Research, CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Ben Fm Wijnen
- Center for Economic Evaluation & Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands.,Department of Clinical and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, The Netherlands
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Ha NT, Huong NT, Anh VN, Anh NQ. Modelling in economic evaluation of mental health prevention: current status and quality of studies. BMC Health Serv Res 2022; 22:906. [PMID: 35831821 PMCID: PMC9281039 DOI: 10.1186/s12913-022-08206-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/15/2022] [Indexed: 11/10/2022] Open
Abstract
Background The present study aimed to identify and critically appraise the quality of model-based economic evaluation studies in mental health prevention. Methods A systematic search was performed on MEDLINE, EMBASE, EconLit, PsycINFO, and Web of Science. Two reviewers independently screened for eligible records using predefined criteria and extracted data using a pre-piloted data extraction form. The 61-item Philips Checklist was used to critically appraise the studies. Systematic review registration number: CRD42020184519. Results Forty-nine studies were eligible to be included. Thirty studies (61.2%) were published in 2015–2021. Forty-seven studies were conducted for higher-income countries. There were mainly cost-utility analyses (n = 31) with the dominant primary outcome of quality-adjusted life year. The most common model was Markov (n = 26). Most of the studies were conducted from a societal or health care perspective (n = 37). Only ten models used a 50-year time horizon (n = 2) or lifetime horizon (n = 8). A wide range of mental health prevention strategies was evaluated with the dominance of selective/indicate strategy and focusing on common mental health problems (e.g., depression, suicide). The percentage of the Philip checkilst’s criteria fulfilled by included studies was 69.3% on average and ranged from 43.3 to 90%. Among three domains of the Philip checklist, criteria on the model structure were fulfilled the most (72.1% on average, ranging from 50.0% to 91.7%), followed by the data domain (69.5% on average, ranging from 28.9% to 94.0%) and the consistency domain (54.6% on average, ranging from 20.0% to 100%). The practice of identification of ‘relevant’ evidence to inform model structure and inputs was inadequately performed. The model validation practice was rarely reported. Conclusions There is an increasing number of model-based economic evaluations of mental health prevention available to decision-makers, but evidence has been limited to the higher-income countries and the short-term horizon. Despite a high level of heterogeneity in study scope and model structure among included studies, almost all mental health prevention interventions were either cost-saving or cost-effective. Future models should make efforts to conduct in the low-resource context setting, expand the time horizon, improve the evidence identification to inform model structure and inputs, and promote the practice of model validation. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08206-9.
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Affiliation(s)
- Nguyen Thu Ha
- Department of Health Policy and Economics, Hanoi University of Public Health, Hanoi, Vietnam
| | - Nguyen Thanh Huong
- Department of Health Education and Promotion, Hanoi University of Public Health, Hanoi, Vietnam.
| | | | - Nguyen Quynh Anh
- Department of Health Policy and Economics, Hanoi University of Public Health, Hanoi, Vietnam
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Shields GE, Buck D, Varese F, Yung AR, Thompson A, Husain N, Broome MR, Upthegrove R, Byrne R, Davies LM. A review of economic evaluations of health care for people at risk of psychosis and for first-episode psychosis. BMC Psychiatry 2022; 22:126. [PMID: 35177010 PMCID: PMC8851734 DOI: 10.1186/s12888-022-03769-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 02/07/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Preventing psychotic disorders and effective treatment in first-episode psychosis are key priorities for the National Institute for Health and Care Excellence. This review assessed the evidence base for the cost-effectiveness of health and social care interventions for people at risk of psychosis and for first-episode psychosis. METHODS Electronic searches were conducted using the PsycINFO, MEDLINE and Embase databases to identify relevant published full economic evaluations published before August 2020. Full-text English-language studies reporting a full economic evaluation of a health or social care intervention aiming to reduce or prevent symptoms in people at risk of psychosis or experiencing first-episode psychosis were included. Screening, data extraction, and critical appraisal were performed using pre-specified criteria and forms based on the NHS Economic Evaluation Database (EED) handbook and Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist for economic evaluations. The protocol was registered on the PROSPERO database (CRD42018108226). Results were summarised qualitatively. RESULTS Searching identified 1,628 citations (1,326 following the removal of duplications). After two stages of screening 14 studies met the inclusion criteria and were included in the review. Interventions were varied and included multidisciplinary care, antipsychotic medication, psychological therapy, and assertive outreach. Evidence was limited in the at-risk group with only four identified studies, though all interventions were found to be cost-effective with a high probability (> 80%). A more substantial evidence base was identified for first-episode psychosis (11 studies), with a focus on early intervention (7/11 studies) which again had positive conclusions though with greater uncertainty. CONCLUSIONS Study findings generally concluded interventions were cost-effective. The evidence for the population who are at-risk of psychosis was limited, and though there were more studies for the population with first-episode psychosis, limitations of the evidence base (including generalisability and heterogeneity across the methods used) affect the certainty of conclusions.
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Affiliation(s)
- Gemma E. Shields
- grid.5379.80000000121662407Manchester Centre for Health Economics, Division of Population Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Deborah Buck
- grid.5379.80000000121662407Manchester Centre for Health Economics, Division of Population Health, School of Health Sciences, University of Manchester, Manchester, UK ,grid.83440.3b0000000121901201Institute of Education, University College London, London, UK
| | - Filippo Varese
- grid.5379.80000000121662407Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK ,grid.507603.70000 0004 0430 6955Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Alison R. Yung
- grid.5379.80000000121662407Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK ,grid.507603.70000 0004 0430 6955Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK ,grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia ,grid.1021.20000 0001 0526 7079Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Andrew Thompson
- grid.1008.90000 0001 2179 088XOrygen, The Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, Australia ,grid.7372.10000 0000 8809 1613Division of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Nusrat Husain
- grid.5379.80000000121662407Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Matthew R. Broome
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.498025.20000 0004 0376 6175Birmingham Early Intervention Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Rachel Upthegrove
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.498025.20000 0004 0376 6175Birmingham Early Intervention Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Rory Byrne
- grid.507603.70000 0004 0430 6955Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Linda M. Davies
- grid.5379.80000000121662407Manchester Centre for Health Economics, Division of Population Health, School of Health Sciences, University of Manchester, Manchester, UK
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Kleijburg A, Lokkerbol J, Regeer EJ, Geerling B, Evers SMAA, Kroon H, Wijnen B. Designing and testing of a health-economic Markov model to assess the cost-effectiveness of treatments for Bipolar disorder: TiBipoMod. Front Psychiatry 2022; 13:1030989. [PMID: 36440423 PMCID: PMC9684337 DOI: 10.3389/fpsyt.2022.1030989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/20/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Bipolar disorder is an often recurrent mood disorder that is associated with a significant economic and health-related burden. Increasing the availability of health-economic evidence may aid in reducing this burden. The aim of this study is to describe the design of an open-source health-economic Markov model for assessing the cost-effectiveness of interventions in the treatment of Bipolar Disorders type I and II, TiBipoMod. METHODS TiBipoMod is a decision-analytic Markov model that allows for user-defined incorporation of both pharmacological and non-pharmacological interventions for the treatment of BD. TiBipoMod includes the health states remission, depression, (hypo)mania and death. Costs and effects are modeled over a lifetime horizon from a societal and healthcare perspective, and results are presented as the total costs, Quality-Adjusted Life Years (QALY), Life Years (LY), and incremental costs per QALYs and LYs gained. RESULTS Functionalities of TiBipoMod are demonstrated by performing a cost-utility analysis of mindfulness-based cognitive therapy (MBCT) compared to the standard of care. Treatment with MBCT resulted in an increase of 0.18 QALYs per patient, and a dominant incremental cost-effectiveness ratio per QALY gained for MBCT at a probability of being cost-effective of 71% when assuming a €50,000 willingness-to-pay threshold. CONCLUSION TiBipoMod can easily be adapted and used to determine the cost-effectiveness of interventions in the treatment in Bipolar Disorder type I and II, and is freely available for academic purposes upon request at the authors.
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Affiliation(s)
- Anne Kleijburg
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, Netherlands.,Centre of Economic Evaluations & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Joran Lokkerbol
- Centre of Economic Evaluations & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Eline J Regeer
- Altrecht Institute for Mental Health Care, Outpatient Clinic for Bipolar Disorder, Utrecht, Netherlands
| | - Bart Geerling
- Dimence Mental Health Institute, Centre for Bipolar Disorder, SCBS Bipolaire Stoonissen, Deventer, Netherlands.,Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands
| | - Silvia M A A Evers
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, Netherlands.,Centre of Economic Evaluations & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Hans Kroon
- Department of Social and Behavioural Sciences, Tranzo Scientific Center for Care and Welfare, Tilburg University, Tilburg, Netherlands.,Department of Reintegration and Community Care, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Ben Wijnen
- Centre of Economic Evaluations & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
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Allan SM, Hodgekins J, Beazley P, Oduola S. Pathways to care in at-risk mental states: A systematic review. Early Interv Psychiatry 2021; 15:1092-1103. [PMID: 33047505 DOI: 10.1111/eip.13053] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/23/2020] [Accepted: 09/26/2020] [Indexed: 12/13/2022]
Abstract
AIM Pathways to care are well studied in the First Episode Psychosis field, but less attention has been given to At-Risk Mental States or prodromal psychosis. This is important because accessing appropriate help at the earliest opportunity is likely to improve outcomes, particularly for those who make transition to psychosis. The present systematic review aimed to synthesize the available literature on pathways to care in ARMS or prodromal psychosis, and investigate the barriers and facilitators to receiving care for ARMS. METHODS The CINAHL Complete, EMBASE, Medline Complete, PsycINFO and PubMED databases were searched. Studies were included if they were published in English between 1985 and 2019, where reported data came exclusively from an At-Risk Mental State population, and the study described or related to pathways to care. RESULTS Ten studies met the inclusion criteria, of which 8 were quantitative. Screening tools and pathways to care instruments varied. Mental health professionals, and general practitioners played a key role in help seeking. Family involvement was also found to be an important factor. CONCLUSIONS Pathways to care research in At-Risk Mental States are more scarce than in the field of First Episode Psychosis. More research is warranted, especially concerning the role of patient-level characteristics on pathways to care. A validated measure of pathways to care may also be of benefit.
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Affiliation(s)
- Sophie M Allan
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK.,Cambridgeshire and Peterborough NHS Foundation Trust, Elizabeth House, Cambridgeshire, UK
| | - Jo Hodgekins
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Peter Beazley
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Sheri Oduola
- School of Health Sciences, University of East Anglia, Norwich Research Park, Norwich, UK
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9
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Ologundudu OM, Lau T, Palaniyappan L, Ali S, Anderson KK. Interventions for people at ultra-high risk for psychosis: A systematic review of economic evaluations. Early Interv Psychiatry 2021; 15:1115-1126. [PMID: 33047497 DOI: 10.1111/eip.13061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 09/02/2020] [Accepted: 09/26/2020] [Indexed: 11/30/2022]
Abstract
AIM Psychotic disorders have long-term negative consequences for functioning and quality of life. Ultra-high risk (UHR) programs aim to identify and treat people during the prodromal period before their first psychotic episode. Though studies on the clinical effectiveness of treating prodromal symptoms in people at UHR for psychosis exist, no review has exclusively and comprehensively evaluated the economic impact of UHR programs. Our objective was to systematically review the literature on economic evaluations of UHR programs. METHODS We searched the Cochrane, EMBASE, MEDLINE, and PsycInfo electronic databases, in addition to grey literature, from inception to March 2020 to identify economic evaluations of UHR programs. We included all cost and cost-effectiveness studies of interventions for people at UHR. The data were synthesized qualitatively, and a risk of bias assessment was performed. RESULTS Of the 1916 articles retrieved, six studies met our inclusion criteria. These included three cost analysis studies and three cost-effectiveness studies. Five studies were conducted from the health system perspective and the time horizon varied between six months and ten years. Only two reported quality-adjusted life-years (QALYs) as their outcome. Overall, all cost-effectiveness studies and one cost analysis suggested that UHR programs were cost-effective and cost saving, respectively. The risk of bias assessment suggested moderate levels of bias across all studies. CONCLUSION Economic evaluations of UHR programs varied in terms of outcomes and length of follow-up; however, most studies found them to be cost-effective. Future studies would benefit from long-term evaluations of UHR programs and consistent valuation of outcomes.
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Affiliation(s)
- Olajumoke M Ologundudu
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Tammy Lau
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lena Palaniyappan
- Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Shehzad Ali
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Kelly K Anderson
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.,Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
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Le LKD, Esturas AC, Mihalopoulos C, Chiotelis O, Bucholc J, Chatterton ML, Engel L. Cost-effectiveness evidence of mental health prevention and promotion interventions: A systematic review of economic evaluations. PLoS Med 2021; 18:e1003606. [PMID: 33974641 PMCID: PMC8148329 DOI: 10.1371/journal.pmed.1003606] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 05/25/2021] [Accepted: 03/31/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND The prevention of mental disorders and promotion of mental health and well-being are growing fields. Whether mental health promotion and prevention interventions provide value for money in children, adolescents, adults, and older adults is unclear. The aim of the current study is to update 2 existing reviews of cost-effectiveness studies in this field in order to determine whether such interventions are cost-effective. METHODS AND FINDINGS Electronic databases (including MEDLINE, PsycINFO, CINAHL, and EconLit through EBSCO and Embase) were searched for published cost-effectiveness studies of prevention of mental disorders and promotion of mental health and well-being from 2008 to 2020. The quality of studies was assessed using the Quality of Health Economic Studies Instrument (QHES). The protocol was registered with PROSPERO (# CRD42019127778). The primary outcomes were incremental cost-effectiveness ratio (ICER) or return on investment (ROI) ratio across all studies. A total of 65 studies met the inclusion criteria of a full economic evaluation, of which, 23 targeted children and adolescents, 35 targeted adults, while the remaining targeted older adults. A large number of studies focused on prevention of depression and/or anxiety disorders, followed by promotion of mental health and well-being and other mental disorders. Although there was high heterogeneity in terms of the design among included economic evaluations, most studies consistently found that interventions for mental health prevention and promotion were cost-effective or cost saving. The review found that targeted prevention was likely to be cost-effective compared to universal prevention. Screening plus psychological interventions (e.g., cognitive behavioural therapy [CBT]) at school were the most cost-effective interventions for prevention of mental disorders in children and adolescents, while parenting interventions and workplace interventions had good evidence in mental health promotion. There is inconclusive evidence for preventive interventions for mental disorders or mental health promotion in older adults. While studies were of general high quality, there was limited evidence available from low- and middle-income countries. The review was limited to studies where mental health was the primary outcome and may have missed general health promoting strategies that could also prevent mental disorder or promote mental health. Some ROI studies might not be included given that these studies are commonly published in grey literature rather than in the academic literature. CONCLUSIONS Our review found a significant growth of economic evaluations in prevention of mental disorders or promotion of mental health and well-being over the last 10 years. Although several interventions for mental health prevention and promotion provide good value for money, the varied quality as well as methodologies used in economic evaluations limit the generalisability of conclusions about cost-effectiveness. However, the finding that the majority of studies especially in children, adolescents, and adults demonstrated good value for money is promising. Research on cost-effectiveness in low-middle income settings is required. TRIAL REGISTRATION PROSPERO registration number: CRD42019127778.
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Affiliation(s)
- Long Khanh-Dao Le
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
- * E-mail:
| | - Adrian Cuevas Esturas
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
| | - Cathrine Mihalopoulos
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
| | - Oxana Chiotelis
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
| | - Jessica Bucholc
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
| | - Mary Lou Chatterton
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
| | - Lidia Engel
- Deakin University, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia
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Jin H, Tappenden P, Robinson S, Achilla E, MacCabe JH, Aceituno D, Byford S. A Systematic Review of Economic Models Across the Entire Schizophrenia Pathway. Pharmacoeconomics 2020; 38:537-555. [PMID: 32144726 DOI: 10.1007/s40273-020-00895-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
BACKGROUND Schizophrenia is associated with a high economic burden. Economic models can help to inform resource allocation decisions to maximise benefits to patients. OBJECTIVES This systematic review aims to assess the availability, quality and consistency of conclusions of health economic models evaluating the cost effectiveness of interventions for schizophrenia. METHODS An electronic search was performed on multiple databases (MEDLINE, EMBASE, PsycINFO, Cochrane database of systematic reviews, NHS Economic Evaluation Database and Health Technology Assessment database) to identify economic models of interventions for schizophrenia published between 2005 and 2020. Two independent reviewers selected studies for inclusion. Study quality was assessed using the National Institute for Health and Care Excellence (NICE) checklist and the Cooper hierarchy. Model characteristics and conclusions were descriptively summarised. RESULTS Seventy-three models met inclusion criteria. Seventy-eight percent of existing models assessed antipsychotics; however, due to inconsistent conclusions reported by different studies, no antipsychotic can be considered clearly cost effective compared with the others. A very limited number of models suggest that the following non-pharmacological interventions might be cost effective: psychosocial interventions, stratified tests, employment intervention and intensive intervention to improve liaison between primary and secondary care. The quality of included models is generally low due to use of a short time horizon, omission of adverse events of interventions, poor data quality and potential conflicts of interest. CONCLUSIONS This review highlights a lack of models for non-pharmacological interventions, and limitations of the existing models, including low quality and inconsistency in conclusions. Recommendations on future modelling approaches for schizophrenia are provided.
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Affiliation(s)
- Huajie Jin
- King's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Box 024, The David Goldberg Centre, London, SE5 8AF, UK.
| | - Paul Tappenden
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Stewart Robinson
- School of Business and Economics, Loughborough University, Epinal Way, Loughborough, Leicestershire, LE11 3TU, UK
| | | | - James H MacCabe
- Department of Psychosis Studies, PO63, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - David Aceituno
- King's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Box 024, The David Goldberg Centre, London, SE5 8AF, UK
| | - Sarah Byford
- King's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Box 024, The David Goldberg Centre, London, SE5 8AF, UK
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