Long term economic evaluation of interventions targeting multiple mental health conditions: protocol for a rapid review of methods
- Subject Areas
- Clinical Trials, Evidence Based Medicine, Psychiatry and Psychology
- Economic evaluation, Mental health, Mental disorders, Methodology, Extrapolation, Decision modelling, Health Economics, Rapid review protocol, Costs
- © 2016 Canaway et al.
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Long term economic evaluation of interventions targeting multiple mental health conditions: protocol for a rapid review of methods. PeerJ Preprints 4:e1988v1 https://doi.org/10.7287/peerj.preprints.1988v1
Background. Interventions and services for people with mental health problems can have broad remits: they are often designed to treat people with a variety of diagnoses. Furthermore, addressing mental health problems can have long term implications for economic, social and health outcomes. This represents a challenge for economic evaluation, where long term trial data can be lacking. In this review we will seek to identify how analysts have sought to tackle this problem. We will review the methods used to extrapolate costs and outcomes for the purpose of economic evaluation, where long term trial data are not available. Methods/design. We will carry out a review of the medical and economic literature evaluating long-term costs and outcomes for mental health interventions and services designed to treat or prevent more than two mental health conditions. We will search the key health economic databases, including: OVID Medline, Embase, Psycinfo, CINAHL, and EconLit. The two authors will independently screen the returned results. Any discrepancies will be resolved by deliberation between the two authors. Key information will be extracted from the papers which successfully pass through the screening process. The findings will be highlighted through a narrative analysis and tabulated data. Discussion. This review will shed light on the existing methods used to model into the future when multiple mental health conditions are considered. The review will discuss the strengths and weakness within current methodologies, highlight existing flaws, and provide guidance for future economic evaluations of interventions targeting multiple mental health conditions.
This is a preprint submission to PeerJ Preprints