Proxy and patient reports of health-related quality of life in a national cancer survey

DSpace/Manakin Repository

Proxy and patient reports of health-related quality of life in a national cancer survey

Citable link to this page

 

 
Title: Proxy and patient reports of health-related quality of life in a national cancer survey
Author: Roydhouse, Jessica K.; Gutman, Roee; Keating, Nancy L.; Mor, Vincent; Wilson, Ira B.

Note: Order does not necessarily reflect citation order of authors.

Citation: Roydhouse, Jessica K., Roee Gutman, Nancy L. Keating, Vincent Mor, and Ira B. Wilson. 2018. “Proxy and patient reports of health-related quality of life in a national cancer survey.” Health and Quality of Life Outcomes 16 (1): 6. doi:10.1186/s12955-017-0823-5. http://dx.doi.org/10.1186/s12955-017-0823-5.
Full Text & Related Files:
Abstract: Background: Proxy respondents are frequently used in surveys, including those assessing health-related quality of life (HRQOL). In cancer, most research involving proxies has been undertaken with paired proxy-patient populations, where proxy responses are compared to patient responses for the same individual. In these populations, proxy-patient differences are small and suggest proxy underestimation of patient HRQOL. In practice, however, proxy responses will only be used when patient responses are not available. The difference between proxy and patient reports of patient HRQOL where patients are not able to report for themselves in cancer is not known. The objective of this study was to evaluate the difference between patient and proxy reports of patient HRQOL in a large national cancer survey, and determine if this difference could be mitigated by adjusting for clinical and sociodemographic information about patients. Methods: Data were from the Cancer Care Outcomes Research and Surveillance (CanCORS) study. Patients or their proxies were recruited within 3–6 months of diagnosis with lung or colorectal cancer. HRQOL was measured using the SF-12 mental and physical composite scales. Differences of ½ SD (=5 points) were considered clinically significant. The primary independent variable was proxy status. Linear regression models were used to adjust for patient sociodemographic and clinical covariates, including cancer stage, patient age and education, and patient co-morbidities. Results: Of 6471 respondents, 1011 (16%) were proxies. Before adjustment, average proxy-reported scores were lower for both physical (−6.7 points, 95% CI -7.4 to −5.9) and mental (−6 points, 95% CI -6.7 to −5.2) health. Proxy-reported scores remained lower after adjustment (physical: −5.8 points, −6.6 to −5; mental: −5.8 points, −6.6 to 5). Proxy-patient score differences remained clinically and statistically significant, even after adjustment for sociodemographic and clinical variables. Conclusions: Proxy-reported outcome scores for both physical and mental health were clinically and significantly lower than patient-reported scores for these outcomes. The size of the proxy-patient score differences was not affected by the health domain, and adjustment for sociodemographic and clinical variables had minimal impact.
Published Version: doi:10.1186/s12955-017-0823-5
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5756370/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:34868822
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters