Literature DB >> 24013568

Patient satisfaction with service quality as a predictor of survival outcomes in breast cancer.

Digant Gupta1, Mark Rodeghier, Christopher G Lis.   

Abstract

PURPOSE: Despite the recognized relevance of symptom burden in breast cancer, there has been limited exploration of whether an individual patient's assessment of the overall quality of care received might influence outcome. We therefore evaluated the relationship between patient-reported satisfaction with service quality and survival in breast cancer.
METHODS: A random sample of 1,521 breast cancer patients treated at Cancer Treatment Centers of America. A questionnaire which covered several dimensions of patient satisfaction was administered. Items were measured on a seven-point Likert scale ranging from "completely dissatisfied" to "completely satisfied". Univariate and multivariate Cox regression was used to evaluate the association between patient satisfaction and survival.
RESULTS: Of 1,521 patients, 836 were newly diagnosed, and 685 had previously been treated. A number of 409, 611, 323, and 178 patients had stage I, II, III, and IV disease, respectively. A total of 1,106 (72.7 %) patients were completely satisfied with the overall service quality, while 415 (27.3 %) were not. On univariate analysis, completely satisfied patients had a significantly lower risk of mortality compared to those not completely satisfied (HR = 0.62; 95 % CI 0.50-0.76; p < 0.001). On multivariate analysis, completely satisfied patients demonstrated significantly lower mortality (HR = 0.71; 95 % CI 0.57-0.87; p = 0.001) compared to those not completely satisfied.
CONCLUSIONS: Patient satisfaction with service quality was an independent predictor of survival in breast cancer. Further exploration of a possible meaningful relationship between patient satisfaction with the care they receive and outcomes in breast cancer is indicated.

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Year:  2013        PMID: 24013568     DOI: 10.1007/s00520-013-1956-7

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


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