Appraisal of patient-level health economic models of severe mental illness: systematic review

<p><strong>Background</strong></p> Healthcare decision makers require accurate long-term economic models to evaluate the cost-effectiveness of new mental health interventions. <p><strong>Aims</strong></p> To assess the suitability of current patient-l...

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Main Authors: Altunkaya, J, Lee, J-S, Tsiachristas, A, Waite, F, Freeman, D, Leal, J
Format: Journal article
Language:English
Published: Cambridge University Press 2021
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author Altunkaya, J
Lee, J-S
Tsiachristas, A
Waite, F
Freeman, D
Leal, J
author_facet Altunkaya, J
Lee, J-S
Tsiachristas, A
Waite, F
Freeman, D
Leal, J
author_sort Altunkaya, J
collection OXFORD
description <p><strong>Background</strong></p> Healthcare decision makers require accurate long-term economic models to evaluate the cost-effectiveness of new mental health interventions. <p><strong>Aims</strong></p> To assess the suitability of current patient-level economic models to estimate long-term economic outcomes in severe mental illness. <p><strong>Method</strong></p> We undertook pre-specified systematic searches in MEDLINE, Embase and PsycINFO to identify reviews and stand-alone publications of economic models of interventions for schizophrenia, bipolar disorder and major depressive disorder (PROSPERO: CRD42020158243). We screened paper titles and abstracts to identify unique patient-level economic models. We conducted a structured extraction of identified models, recording the presence of key predefined model features. Model quality and validation were appraised using the 2014 ISPOR and 2016 AdViSHE model checklists. <p><strong>Results</strong></p> We identified 15 unique patient-level models for psychosis and major depressive disorder from 1481 non-duplicate records. Models addressed schizophrenia (n = 6), bipolar disorder (n = 2) and major depressive disorder (n = 7). The predominant model type was discrete event simulation (n = 9). Model complexity and incorporation of patient heterogeneity varied considerably, and only five models extrapolated costs and outcomes over a lifetime horizon. Key model parameters were often based on low-quality evidence, and checklist quality assessment revealed weak model verification procedures. <p><strong>Conclusions</strong></p> Existing patient-level economic models of interventions for severe mental illness have considerable limitations. New modelling efforts must be supplemented by the generation of good-quality, contemporary evidence suitable for model building. Combined effort across the research community is required to build and validate economic extrapolation models suitable for accurately assessing the long-term value of new interventions from short-term clinical trial data.
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spelling oxford-uuid:7d651100-1e41-462e-bd97-13c912b97bcc2022-03-26T21:03:22ZAppraisal of patient-level health economic models of severe mental illness: systematic reviewJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7d651100-1e41-462e-bd97-13c912b97bccEnglishSymplectic ElementsCambridge University Press2021Altunkaya, JLee, J-STsiachristas, AWaite, FFreeman, DLeal, J<p><strong>Background</strong></p> Healthcare decision makers require accurate long-term economic models to evaluate the cost-effectiveness of new mental health interventions. <p><strong>Aims</strong></p> To assess the suitability of current patient-level economic models to estimate long-term economic outcomes in severe mental illness. <p><strong>Method</strong></p> We undertook pre-specified systematic searches in MEDLINE, Embase and PsycINFO to identify reviews and stand-alone publications of economic models of interventions for schizophrenia, bipolar disorder and major depressive disorder (PROSPERO: CRD42020158243). We screened paper titles and abstracts to identify unique patient-level economic models. We conducted a structured extraction of identified models, recording the presence of key predefined model features. Model quality and validation were appraised using the 2014 ISPOR and 2016 AdViSHE model checklists. <p><strong>Results</strong></p> We identified 15 unique patient-level models for psychosis and major depressive disorder from 1481 non-duplicate records. Models addressed schizophrenia (n = 6), bipolar disorder (n = 2) and major depressive disorder (n = 7). The predominant model type was discrete event simulation (n = 9). Model complexity and incorporation of patient heterogeneity varied considerably, and only five models extrapolated costs and outcomes over a lifetime horizon. Key model parameters were often based on low-quality evidence, and checklist quality assessment revealed weak model verification procedures. <p><strong>Conclusions</strong></p> Existing patient-level economic models of interventions for severe mental illness have considerable limitations. New modelling efforts must be supplemented by the generation of good-quality, contemporary evidence suitable for model building. Combined effort across the research community is required to build and validate economic extrapolation models suitable for accurately assessing the long-term value of new interventions from short-term clinical trial data.
spellingShingle Altunkaya, J
Lee, J-S
Tsiachristas, A
Waite, F
Freeman, D
Leal, J
Appraisal of patient-level health economic models of severe mental illness: systematic review
title Appraisal of patient-level health economic models of severe mental illness: systematic review
title_full Appraisal of patient-level health economic models of severe mental illness: systematic review
title_fullStr Appraisal of patient-level health economic models of severe mental illness: systematic review
title_full_unstemmed Appraisal of patient-level health economic models of severe mental illness: systematic review
title_short Appraisal of patient-level health economic models of severe mental illness: systematic review
title_sort appraisal of patient level health economic models of severe mental illness systematic review
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