157
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Social suffering in individuals with chronic obstructive pulmonary disease: a secondary analysis of interpretative phenomenological study

ORCID Icon, , & ORCID Icon
Pages 236-241 | Received 25 May 2022, Accepted 16 Sep 2022, Published online: 25 Sep 2022
 

ABSTRACT

Individuals with chronic obstructive pulmonary disease experience suffering that affects their families and community relationships. However, no studies provide an explicit account of social suffering among these individuals. This secondary analysis was conducted to understand the lived experiences of social suffering in individuals with chronic obstructive pulmonary disease. The theory of social suffering guided the analysis of an interpretative phenomenological study. Thirteen individuals were recruited using purposive sampling. Data were analyzed using reflexive thematic analysis. Three themes were generated: a) prevailing hopelessness and burden, b) progressing relational adversities, and c) struggling with co-dependency. Social suffering is a complex entity experienced by the patients and the family caregivers. For enhanced caregiving, health professionals could prepare patients to tackle the suffering through collective actions.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 402.00 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.