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Journal Article

Citation

Tang S, Reily NM, Arena AF, Sheanoda V, Han J, Draper B, Batterham PJ, Mackinnon AJ, Christensen H. J. Affect. Disord. 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Elsevier Publishing)

DOI

10.1016/j.jad.2022.01.054

PMID

35032506

Abstract

BACKGROUND: The majority of people who die by suicide are unknown to formal mental health services. The current review identified predictors of non-receipt of mental health services among individuals experiencing suicidal thoughts or behaviours. Such data provides insight into the needs and preferences of these individuals and inform improvements to existing services.

METHODS: PsycInfo, PubMed/Medline, CINAHL, and Web of Science were systematically searched from 1st January 1980 up to 20th September 2021. Included studies examined predictors of not receiving formal mental health services among people at risk of suicide. Study quality was assessed by adapting the Joanna-Briggs Institute Checklist for Analytical Cross-Sectional Studies.

FINDINGS were presented with narrative synthesis. PROSPERO registration: CRD42021256795.

RESULTS: Included studies (n = 35, sample range = 46-19243) were predominately conducted in the United States. Non-receipt of services in nationally representative studies was varied (25.7%-91.8%).

RESULTS indicate that non-receipt of mental health services among people with suicidality is associated with minority ethnicity, better perceived general health, lower psychological distress, lower severity of suicidality, no mental health diagnosis, lower perceived need for treatment and lower use of medical services. LIMITATIONS: Limitations included few studies conducted in low-middle income countries, limited literature on key predictors of interest, and exclusion of informal sources of support.

CONCLUSION: Individuals with suicidality who are unknown to mental health services have diverse attributes. For some, non-use of services may result from low suicidal distress and perceived need for treatment. Further research is needed to understand why these predictors are associated with service non-use.


Language: en

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