31
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Considerations for Evaluating Older Adults with Cancer for Depression: A Qualitative Survey of Experts

, PhD, , BA, , MA, , PhD, , MD & , PhD
Published online: 04 Jul 2024
 

ABSTRACT

Objectives

The objective of this study was to engage national experts in geriatric psychiatry and oncology in qualitative interviews to develop consensus regarding how older adult cancer survivors (OACS) experience depressive symptoms, and how best to assess OACs for depression.

Methods

Expert clinicians in geriatric oncology disciplines were interviewed about approaches to assessing depression in OACs. Interviews were audio-recorded and transcribed, and conducted until thematic saturation was achieved. Thematic Content Analysis was utilized to identify key themes.

Results

Experts (N = 8) were board certified geriatric psychiatrists and oncologists with specialization in geriatric medicine. Two conceptual domains were identified: Key indicators of depression in OACs (e.g. anhedonia; loss of meaning and purpose; loneliness and social withdrawal) and unique considerations for depression assessment in OACs (e.g. alternative phrasing to “depression,” disentangling mood and cancer or treatment-related side effects).

Conclusions

The approaches identified tended to depart from traditional diagnostic criteria for depression.

Clinical implications

Results provide additional insight into the limitations of existing depression measures for OACs. The themes and practices identified in the present study suggest that a revised measure of depression for OACs may be useful. Future research will continue to shed light on best practices for depression assessment in OACs.

Disclosure statement

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

Author contributions

All authors contributed to study concepts, study design, data analysis, manuscript preparation, manuscript editing, and manuscript review. Christian Nelson contributed to data acquisition. Rebecca Saracino, Elyse Shuk, and Christian Nelson have contributed to quality control of data and algorithms and statistical analysis. All authors have seen and approved the final manuscript.

Additional information

Funding

The work was supported by the National Cancer Institute [K08CA252633, T32CA009461]; Muriel Dunewald Lloyd Inspiration Fund Silbermann Foundation .

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.