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A systematic review of economic models across the entire schizophrenia pathway

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journal contribution
posted on 05.06.2020, 10:12 authored by Huajie Jin, Paul Tappenden, Stewart Robinson, Evanthia Achilla, James H MacCabe, David Aceituno, Sarah Byford
© 2020, Springer Nature Switzerland AG. 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.

History

School

  • Business and Economics

Department

  • Business

Published in

PharmacoEconomics

Volume

38

Issue

6

Pages

537 - 555

Publisher

Springer Science and Business Media LLC

Version

AM (Accepted Manuscript)

Rights holder

© Springer

Publisher statement

This is a post-peer-review, pre-copyedit version of an article published in PharmacoEconomics. The final authenticated version is available online at: https://doi.org/10.1007/s40273-020-00895-6

Acceptance date

01/02/2020

Publication date

2020-03-06

Copyright date

2020

ISSN

1170-7690

eISSN

1179-2027

Language

en

Depositor

Prof Stewart Robinson. Deposit date: 4 June 2020