1,032
Views
10
CrossRef citations to date
0
Altmetric
New and Emerging Professionals

Depression Treatment Among Rural Older Adults: Preferences and Factors Influencing Future Service Use

, , , , &
Pages 241-259 | Published online: 03 Apr 2013
 

Abstract

The purpose of this study was to investigate depression treatment preferences and anticipated service use in a sample of adults aged 55 years or older who reside in rural Wyoming. Sixteen participants (mean age = 59) completed 30- to 60-minute, semi-structured interviews. Qualitative methods were used to characterize common themes. Social/provider support and community gatekeepers were perceived by participants as important potential facilitators for seeking depression treatment. In contrast, perceived stigma and the value placed on self-sufficiency emerged as key barriers to seeking treatment for depression in this rural, young-old sample. Participants anticipated presenting for treatment in the primary care sector and preferred a combination of medication and psychotherapy for treatment. Participants were, however, more willing to see mental health professionals if they were first referred by a clergy member or primary care physician.

Acknowledgments

This project was supported by grants from the National Center for Research Resources (5P20RR016474-12) and the National Institute of General Medical Sciences (8 P20 GM103432-12) from the National Institutes of Health.

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 502.00 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.