Literature DB >> 22905946

Patient satisfaction and organizational impact: a hierarchical linear modeling approach.

Koichiro Otani1, B Joon Kim, Brian Waterman, Sarah Boslaugh, W Dean Klinkenberg, W Claiborne Dunagan.   

Abstract

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.

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Year:  2012        PMID: 22905946     DOI: 10.1080/07359683.2012.705724

Source DB:  PubMed          Journal:  Health Mark Q        ISSN: 0735-9683


  1 in total

1.  Factors Impacting Patients' Willingness to Recommend: A Structural Equation Modeling Approach.

Authors:  Jing Xu; Sinyoung Park; Jie Xu; Hanadi Hamadi; Mei Zhao; Koichiro Otani
Journal:  J Patient Exp       Date:  2022-02-01
  1 in total

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