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The Impact of Self-Rated Health Status on Patient Satisfaction Integration Process
- Source :
- Journal of Healthcare Management. 60:205-218
- Publication Year :
- 2015
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2015.
-
Abstract
- The purpose of this study was to investigate how patients' self-rated health status (SRHS) is associated with their attribute reaction integration process and, in turn, their overall ratings of hospitals. We collected patient satisfaction data from 70 hospitals by means of a patient satisfaction questionnaire. The sample included patients who were 18 years or older and discharged from the hospital from July 1, 2011, through June 30, 2012. Data for 36,528 patients were available for analysis. We conducted multiple linear regression analysis with patients' SRHS and interaction effects with nursing care, physician care, staff care, and room, while controlling for age, gender, race, and education. Study findings showed an association between SRHS levels and the patient's overall rating of the hospital; they also revealed interaction effects with nursing care, physician care, and staff care variables in the model. The statistically significant interaction effects indicate that for patients whose SRHS was less than excellent, physician care became more important and nursing care and staff care became less important compared with patients whose SRHS was excellent. When we consider the nature of medical care, this transition seems reasonable. We also found that it is reasonable to categorize patients into two groups: those whose SRHS is excellent and those whose SRHS is less than excellent (i.e., very good, good, fair, or poor). As the study findings show, these two groups of patients combined their attribute reactions differently.
- Subjects :
- medicine.medical_specialty
Leadership and Management
Cross-sectional study
business.industry
Strategy and Management
Health Policy
Regression analysis
General Medicine
Medical care
Nursing care
Patient satisfaction
Family medicine
medicine
Multiple linear regression analysis
Self report
business
Self-rated health
Subjects
Details
- ISSN :
- 10969012
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Journal of Healthcare Management
- Accession number :
- edsair.doi...........0d2bf3bb602bbbe87bb5b9656875b698
- Full Text :
- https://doi.org/10.1097/00115514-201505000-00009