Increasing Patient Satisfaction: A New Model Development |
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Authors: | Koichiro Otani Yihao Deng Brian Waterman W. Claiborne Dunagan |
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Affiliation: | 1. Department of Health Policy and Management , University of Georgia , Athens , Georgia otanik@uga.edu;3. Department of Mathematical Sciences , Indiana University–Purdue University Fort Wayne , Fort Wayne , Indiana;4. Thomson Reuters Healthcare , Chicago , Illinois;5. BJC Health System , St. Louis , Missouri |
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Abstract: | Most patient satisfaction studies put an emphasis on finding key drivers (attribute) to increase overall patient satisfaction. However, it is not clear how much health care managers need to improve certain attributes to attain the target overall patient satisfaction level. The study aims at finding not only what attributes, but also how much these attributes need to be improved to attain the target levels of patient satisfaction. The study uses an ordinal logistic regression model to analyze attribute reactions to salient drivers. This approach would significantly enhance health care managers' capabilities to develop a strategic plan to improve their patient satisfaction levels. |
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Keywords: | ordinal logistic regression model hospital care patient satisfaction survey data |
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