688
Views
16
CrossRef citations to date
0
Altmetric
Articles

Identity reconstruction among older cancer survivors: Age and meaning in the context of a life-altering illness

, PhD, , PhD, , PhD & , PhD
Pages 477-492 | Published online: 11 Oct 2016
 

ABSTRACT

This article evaluates how older cancer patients describe cancer survivorship and incorporate the cancer experience into long-term evaluations of health. From a series of 53 qualitative interviews with adults with histories of breast and prostate cancers and non-Hodgkin's lymphoma, we analyzed age-related discussions among those 65 and older (n = 21). Emergent themes revealed the: (1) historical conceptualization of cancer, (2) changed perspective following diagnosis, (3) cancer in the context of a long biography, (4) cancer in the context of the aging body and decline, and (5) meaning of time remaining and quality of life. One important suggestion from our work, relevant to all clinicians regardless of specialty or role, is to incorporate goals for the future into individualized survivor care plans for older survivors.

Funding

Our research was supported by the National Cancer Institute and the National Institutes of Health (R21CA152789; K. Smith, PI) and we are extremely grateful to NCI and NIH for their support. Susan M. Hannum would additionally like to thank the Johns Hopkins Bloomberg School of Public Health and NCI for their support of her research through the Cancer Epidemiology, Prevention, and Control Postdoctoral Training Fellowship (T32 CA009314).

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 446.00 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.