TY - JOUR
T1 - Increasing Patient Satisfaction
T2 - A New Model Development
AU - Otani, Koichiro
AU - Deng, Yihao
AU - Waterman, Brian
AU - Dunagan, W. Claiborne
N1 - Publisher Copyright:
© 2014, Copyright Taylor & Francis Group, LLC.
PY - 2014/10/2
Y1 - 2014/10/2
N2 - 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.
AB - 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.
KW - hospital care
KW - ordinal logistic regression model
KW - patient satisfaction
KW - survey data
UR - https://www.scopus.com/pages/publications/84911382405
U2 - 10.1080/07359683.2014.966008
DO - 10.1080/07359683.2014.966008
M3 - Article
C2 - 25405636
AN - SCOPUS:84911382405
SN - 0735-9683
VL - 31
SP - 370
EP - 382
JO - Health Marketing Quarterly
JF - Health Marketing Quarterly
IS - 4
ER -