Journal article
Effectiveness and cost-effectiveness of community-based mental health services for individuals with severe mental illness in Iran: a systematic review and meta-analysis
- Abstract:
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Background: Severe mental illness (SMI) imposes a substantial worldwide burden of disability, highlighting the need for comprehensive and adaptable mental health services. This study aims to assess the efficacy and cost-effectiveness of community-based mental health services (CBMHS) in reducing relapse and rehospitalization rates among individuals with SMI in Iran.
Method: A systematic review and meta-analysis were conducted. Medline, EMBASE, ISI, SCOPUS, and ProQuest were searched until December 2022. We focused on randomized controlled trials, quasi-experimental studies, or economic studies related to individuals with SMI. Out of 127 articles, 17 were selected for a full-text review. The primary outcomes were the severity of psychopathology, rehospitalization rates, and the mental health of caregivers. We also examined community-based interventions and their impact on various outcomes. Data extraction and risk of bias assessment were performed, and critical appraisal was conducted using JBI checklists. Meta-analysis was carried out using STATA software. (PROSPERO registration. CRD42022332660).
Result: Rehospitalization rates among patients who received CBMHS were significantly lower, with an odds ratio of 2.14 (95% CI: 1.44 to 3.19), indicating a 2.14 times lower likelihood than those who received treatment as usual. A reduction in psychopathology accompanied this, SMD: -0.31, 95% CI: -0.49 to -0.13, I2 = 40.23%). Moreover, there was a notable improvement in social skills (SMD: -0.7, 95% CI: -0.98 to -0.44, I2 = 0.00%). The burden on caregivers also decreased (SMD: -0.55, 95% CI: -0.99 to -0.1, I2 = 63.2). The Incremental Cost-Effectiveness Ratio (ICER) for QUALY was acceptable, albeit with a wide range of 613 to 8400 Dollars.
Conclusion: CBMHS has demonstrated effectiveness and efficiency in Iran as a developing country. Additionally, it shows promise in mitigating the shortage of acute psychiatry beds. Using multiple data collection tools poses a limitation regarding data consolidation and conducting a meta-analysis.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.2MB, Terms of use)
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- Publisher copy:
- 10.1186/s12888-024-05666-7
Authors
- Funder identifier:
- https://ror.org/03w04rv71
- Grant:
- IR.IUMS.REC. 1400-1-99-21128
- Publisher:
- BioMed Central
- Journal:
- BMC Psychiatry More from this journal
- Volume:
- 24
- Issue:
- 1
- Article number:
- 256
- Publication date:
- 2024-04-04
- Acceptance date:
- 2024-03-07
- DOI:
- EISSN:
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1471-244X
- Pmid:
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38575916
- Language:
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English
- Keywords:
- Pubs id:
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1990823
- Local pid:
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pubs:1990823
- Deposit date:
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2025-06-02
- ARK identifier:
Terms of use
- Copyright holder:
- Taban et al.
- Copyright date:
- 2024
- Rights statement:
- Copyright © 2024, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Licence:
- CC Attribution (CC BY)
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