Premium
Patient and proxy reports regarding the experience of treatment decision‐making in cancer care
Author(s) -
Roydhouse Jessica K.,
Gutman Roee,
Wilson Ira B.,
Kehl Kenneth L.,
Keating Nancy L.
Publication year - 2020
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.5528
Subject(s) - proxy (statistics) , medicine , logistic regression , educational attainment , health care , population , demography , family medicine , environmental health , machine learning , sociology , computer science , economics , economic growth
Objective Shared decision‐making, including the elicitation of patient preferences regarding treatment decisions, is considered part of high‐quality cancer care. However, patients may not be able to self‐report due to illness, and therefore proxy reports may be used. We sought to determine the difference between proxy and patient reports about patient decisions and preferences among patients who received or were scheduled for chemotherapy using data from a large, population‐based survey of patients with incident lung or colorectal cancer. Methods Of 3573 patients who received or were scheduled for chemotherapy, 3108 self‐reported and 465 had proxies reporting on their behalf about preferred and actual decision roles regarding this treatment. Preferred and actual decision roles were assessed using the Control Preferences Scale, and categorized as shared, patient‐controlled, or doctor‐controlled. Multivariable logistic regression models were used to assess the association between patient and proxy responses and whether preferences were met. The models adjusted for sociodemographic and clinical variables and patient/proxy‐reported health status. Results Sixty‐three percent of all respondents reported actual roles in decisions that matched their preferred roles (role attainment). Proxies and patients were similarly likely to report role attainment (65% vs 63%). In adjusted analyses, proxies were more likely report role attainment (OR = 1.27, 95%CI = 1.02‐1.59), but this difference was smaller if health variables were excluded from the model (OR = 1.14, 95%CI = 0.92‐1.41). Conclusion Most patients' preferences for treatment participation were met. Surveys from proxies appear to yield small differences on the reports of attainment of preferred treatment decision‐making roles in cancer care vs surveys from patients.