Title

Increasing Patient Satisfaction: A New Model Development

Document Type

Article

Publication Date

2014

Publication Source

Health Marketing Quarterly

Volume

31

Issue

4

Inclusive pages

370-382

DOI

10.1080/07359683.2014.966008

Publisher

Taylor & Francis Group, LLC

ISBN/ISSN

0735-9683 print / 1545-0864 online

Peer Reviewed

yes

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.

Keywords

ordinal logistic regression model, hospital care, patient satisfaction, survey data

Disciplines

Mathematics | Statistics and Probability

This document is currently not available here.

  Contact Author

Share

COinS