Patient satisfaction and organizational impact: a hierarchical linear modeling approach.
This article presents the rationale for using multilevel analysis to address the broad environmental contexts in patient satisfaction research. This study utilized patient satisfaction data and the American Hospital Association Hospital Guide Book (2004). This study found significant contributions of individual patient attribute reactions (nursing care, physician care, etc.), and also clearly demonstrated hospital-level effects and cross-level interactions on patient satisfaction. Thus, it is clear that patient satisfaction is not solely explained by patients' attribute reactions and their demographic variables, but is also explained by patients' hospital levels. This approach would offer additional understanding in patient satisfaction research.
Department of Public Policy, Indiana University-Purdue University Fort Wayne, Fort Wayne, Indiana 46805, USA. otanik@ipfw.edu
Koichiro
K
Otani
B Joon
BJ
Kim
Brian
B
Waterman
Sarah
S
Boslaugh
W Dean
WD
Klinkenberg
W Claiborne
WC
Dunagan
D000573:American Hospital Association; D005260:Female; D006302:Health Services Research / Q000379:methods* / Q000592:standards; D006801:Humans; D007087:Illinois; D007297:Inpatients / Q000523:psychology*; D008297:Male; D008875:Middle Aged; D008923:Missouri; D009096:Multi-Institutional Systems / Q000592:standards; D055361:Multilevel Analysis; D017060:Patient Satisfaction; D011795:Surveys and Questionnaires; D014481:United States