Increasing Patient Satisfaction: A New Model Development
Health Marketing Quarterly
Taylor & Francis Group, LLC
0735-9683 print / 1545-0864 online
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.
ordinal logistic regression model, hospital care, patient satisfaction, survey data
Mathematics | Statistics and Probability
Koichiro Otani, Yihao Deng, Brian Waterman, and W. Claiborne Dunagan (2014).
Increasing Patient Satisfaction: A New Model Development. Health Marketing Quarterly.31 (4), 370-382. Taylor & Francis Group, LLC.