PURPOSE: This study aims to compare the performance status assessed by breast cancer patients and their oncologist and investigate the factors associated with the patient-oncologist disagreement in a multi-ethnic Asian population. METHODS: This is a cross-sectional study of 270 female breast cancer patients in Singapore. Patients' performance status was rated by the patients and their treating oncologists. Patients were also asked to complete two instruments regarding their health status and health-related quality of life. The proportions of patients with assessment of performance status the same as and different from their oncologist were calculated. The level of agreement was quantified by Kappa statistics together with the confidence interval (CI). Multinomial logistic regression analyses were performed to examine potential factors associated with the patient-oncologist disagreement. RESULTS: Approximately half (136/270) of the patients agreed with the oncologist in assessing performance status. Among the disagreeing half, 48 (17.8 %) patients rated better and 86 (31.9 %) poorer than the oncologists. The unweighted and quadratic-weighted Kappa statistics were, respectively, 0.21 (95 % CI = 0.13 to 0.29) and 0.34 (95 % CI = 0.26 to 0.42). Multivariable multinomial logistic regressions showed that outpatient, language used, and evidence of disease were associated with patients' better assessment than the oncologists, while age, physical well-being, and pain/discomfort were associated with patients' poorer assessment. CONCLUSIONS: The patient-oncologist agreement was weak to moderate. When discrepant, patients tended to rate themselves worse than the oncologists assessed. Poorer assessment rated by patients was associated with their physical well-being. Patients who self-rated poorer may require further evaluation of any unobserved symptoms.
PURPOSE: This study aims to compare the performance status assessed by breast cancerpatients and their oncologist and investigate the factors associated with the patient-oncologist disagreement in a multi-ethnic Asian population. METHODS: This is a cross-sectional study of 270 female breast cancerpatients in Singapore. Patients' performance status was rated by the patients and their treating oncologists. Patients were also asked to complete two instruments regarding their health status and health-related quality of life. The proportions of patients with assessment of performance status the same as and different from their oncologist were calculated. The level of agreement was quantified by Kappa statistics together with the confidence interval (CI). Multinomial logistic regression analyses were performed to examine potential factors associated with the patient-oncologist disagreement. RESULTS: Approximately half (136/270) of the patients agreed with the oncologist in assessing performance status. Among the disagreeing half, 48 (17.8 %) patients rated better and 86 (31.9 %) poorer than the oncologists. The unweighted and quadratic-weighted Kappa statistics were, respectively, 0.21 (95 % CI = 0.13 to 0.29) and 0.34 (95 % CI = 0.26 to 0.42). Multivariable multinomial logistic regressions showed that outpatient, language used, and evidence of disease were associated with patients' better assessment than the oncologists, while age, physical well-being, and pain/discomfort were associated with patients' poorer assessment. CONCLUSIONS: The patient-oncologist agreement was weak to moderate. When discrepant, patients tended to rate themselves worse than the oncologists assessed. Poorer assessment rated by patients was associated with their physical well-being. Patients who self-rated poorer may require further evaluation of any unobserved symptoms.
Authors: Chun Fan Lee; Raymond Ng; Nan Luo; Nan Soon Wong; Yoon Sim Yap; Soo Kien Lo; Whay Kuang Chia; Alethea Yee; Lalit Krishna; Celest Wong; Cynthia Goh; Yin Bun Cheung Journal: Support Care Cancer Date: 2012-06-06 Impact factor: 3.603
Authors: M J Brady; D F Cella; F Mo; A E Bonomi; D S Tulsky; S R Lloyd; S Deasy; M Cobleigh; G Shiomoto Journal: J Clin Oncol Date: 1997-03 Impact factor: 44.544
Authors: Ian D Schnadig; Erik K Fromme; Charles L Loprinzi; Jeff A Sloan; Motomi Mori; Hong Li; Tomasz M Beer Journal: Cancer Date: 2008-10-15 Impact factor: 6.860
Authors: Caryn Chan Mei Hsien; Wan Azmad Wan Azman; Mastura Md Yusof; Gwo Fuang Ho; Edward Krupat Journal: BMJ Open Date: 2012-10-03 Impact factor: 2.692
Authors: Alexis D Leal; Cristine Allmer; Matthew J Maurer; Tait D Shanafelt; James R Cerhan; Brian K Link; Carrie A Thompson Journal: Leuk Lymphoma Date: 2017-07-18