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A Systematic Review of Economic Models Across the Entire Schizophrenia Pathway

Author

Listed:
  • Huajie Jin

    (King’s Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London)

  • Paul Tappenden

    (University of Sheffield)

  • Stewart Robinson

    (Loughborough University)

  • Evanthia Achilla

    (IQVIA)

  • James H. MacCabe

    (Institute of Psychiatry, Psychology and Neuroscience, King’s College London)

  • David Aceituno

    (King’s Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London)

  • Sarah Byford

    (King’s Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London)

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.

Suggested Citation

  • Huajie Jin & Paul Tappenden & Stewart Robinson & Evanthia Achilla & James H. MacCabe & David Aceituno & Sarah Byford, 2020. "A Systematic Review of Economic Models Across the Entire Schizophrenia Pathway," PharmacoEconomics, Springer, vol. 38(6), pages 537-555, June.
  • Handle: RePEc:spr:pharme:v:38:y:2020:i:6:d:10.1007_s40273-020-00895-6
    DOI: 10.1007/s40273-020-00895-6
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    References listed on IDEAS

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    1. Jan Zeidler & Jörg Mahlich & Wolfgang Greiner & Stephan Heres, 2013. "Erratum to: Cost Effectiveness of Paliperidone Palmitate for the Treatment of Schizophrenia in Germany," Applied Health Economics and Health Policy, Springer, vol. 11(6), pages 689-689, December.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. Jan Zeidler & Jörg Mahlich & Wolfgang Greiner & Stephan Heres, 2013. "Cost Effectiveness of Paliperidone Palmitate for the Treatment of Schizophrenia in Germany," Applied Health Economics and Health Policy, Springer, vol. 11(5), pages 509-521, October.
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    1. Huajie Jin & Paul Tappenden & Stewart Robinson & Evanthia Achilla & David Aceituno & Sarah Byford, 2020. "Systematic review of the methods of health economic models assessing antipsychotic medication for schizophrenia," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.

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