1,106
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Empirically Evaluated Suicide Prevention Program Approaches for Older Adults: A Review of the Literature from 2009-2021

, ORCID Icon, ORCID Icon, &
Pages 480-498 | Received 16 Jul 2020, Accepted 19 Mar 2021, Published online: 08 Apr 2021
 

ABSTRACT

Mental health in later life and suicide risk among older adults are important topics for social work. There is evidence-based research to support the use selective and indicated strategies for suicide prevention, yet, universal prevention approaches are also needed. However, the extent to which the broader contexts of suicide have been examined remains largely absent from the literature. This article presents findings from a systematic review of articles published between 2009 and 2021, focusing what types of empirically evaluated suicide prevention programs effectively prevent and reduce suicidality in older adults. Using the PICO and PRISMA guidelines, a final sample of 8 articles were reviewed in this systematic review. The articles were categorized into three types of programs: 1) primary and home health care, 2) community-based outreach, and 3) counseling. The articles also examined the involvement of social workers in these programs. Following a description of the articles, the authors assess each study using the GRADE rating system. Lastly, the authors discuss the role of the social worker in mental health promotion and prevention strategies.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 415.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.