title: Increasing patient satisfaction: a new model development.
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.
authors.affiliation: a Department of Health Policy and Management , University of Georgia , Athens , Georgia.
authors.forename: Koichiro
authors.initials: K
authors.lastname: Otani
authors.forename: Yihao
authors.initials: Y
authors.lastname: Deng
authors.forename: Brian
authors.initials: B
authors.lastname: Waterman
authors.forename: W Claiborne
authors.initials: WC
authors.lastname: Dunagan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D017060:Patient Satisfaction; D011787:Quality of Health Care; D011795:Surveys and Questionnaires
keywords: hospital care; ordinal logistic regression model; patient satisfaction; survey data