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Annals of Oncology Advance Access originally published online on October 19, 2005
Annals of Oncology 2006 17(1):151-156; doi:10.1093/annonc/mdj020
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© 2005 European Society for Medical Oncology

Selecting predictors of cancer patients' overall perceptions of the quality of care received

G. A. Sandoval, C. Levinton, P. Blackstien-Hirsch and A. D. Brown*

Department of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada

* Correspondence to: Dr A. D. Brown, 150 College Street, Room 147D, Toronto, Ontario, Canada M5S 3E2. Tel: +1-416-978-1484; Fax: +1-416-978-1466; E-mail: adalsteinn.brown{at}utoronto.ca

Background: The goal of this study was to identify aspects of care (predictors) that can most easily be modified to produce an improvement in the score of patients' overall evaluations of the quality of care received.

Patients and methods: Our sample consisted of 2247 cancer patients hospitalized in Ontario acute care hospitals in 1999/2000. We sought predictors of patients' overall perceptions of the quality of care by applying a methodology that minimizes the improvement of the predictors while gaining a desired increase in the score of the dependent variable. This approach tends to ignore items that rate relatively high and focuses on those for which hospitals can more easily modify the score. Two main subgroups were analyzed in this study: patients with malignant and benign neoplasms.

Results: ‘Skills of nursing staff’, ‘courtesy of nursing staff’, ‘courtesy of people who drew blood’ and ‘cleanliness of hospital in general’ were consistently selected by our approach in both cancer groups.

Conclusions: This study identifies an efficient approach to improving the score of patients' overall perceptions of the quality of care received. By focusing on these aspects of care, hospitals may be able to improve the allocation of scarce resources when planning patient satisfaction improvement initiatives.

Key words: cancer patients, patient satisfaction, perceptions of the quality of care, predictors


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