Back

"Like a weight off my shoulders": Participating in peer support from the perspectives of young people experiencing homelessness.

  • Published In: Journal of Community Psychology, 2023, v. 51, n. 7. P. 2563 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mollica, Meredith; Littman, Danielle M.; Lucas, Thomas; Marvin, Connor; Erangey, James; Bender, Kimberly; Milligan, Tara 3 of 3

Abstract

The aim of this study is to explore how young people experiencing homelessness or housing instability experience participating in peer support from paid peer support specialists with shared lived experiences. The present study used participatory qualitative methods, specifically a photovoice project with young people (N = 8) experiencing homelessness or housing instability, to understand their experiences of being in a relationship with a peer support specialist. This study found that young people experiencing homelessness or housing instability experienced peer relationships as uniquely caring and affirming. Young people described peers as "feeling like a friend" and repeatedly expressed that peer support is "deeper than therapy." This sort of support stands in contrast to many conventional service approaches, which tend to be driven by organizational agendas and outcomes leading young people to disaffiliate from services. These findings may guide peer support specialists, service providers beginning peer programming, or those considering models for engaging young people experiencing homelessness. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Community Psychology. 2023/09, Vol. 51, Issue 7, p2563
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0090-4392
  • DOI:10.1002/jcop.23032
  • Accession Number:169851396
  • Copyright Statement:Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.