Factors Impacting Patients’ Willingness to Recommend: A Structural Equation Modeling Approach
Document Type
Article
Publication Date
2-1-2022
Abstract
Patient ratings of inpatient stay have been the focus of prior research since better patient satisfaction results in a financial benefit to hospitals and are associated with better patient health care outcomes. However, studies that simultaneously account for within- and between-hospital effects are uncommon. We constructed a multilevel structural equation model to identify predictors of patients’ willingness to recommend a hospital at both within-hospital and between-hospital levels. We used data from 60 U.S. general medical and surgical hospitals and 12,115 patients. Multilevel structural equation modeling reported that patient ratings on the overall quality of care significantly affect the willingness to recommend within hospitals. Also, patients’ perspectives on the hospital environment and nursing are the significant factors that predict the patient ratings on the overall quality of care. Overall patient satisfaction significantly predicts the willingness to recommend at the between-hospital level, whereas hospital size and location have marginal impacts.
Publication Title
Journal of Patient Experience
Volume
9
Digital Object Identifier (DOI)
10.1177/23743735221077538
ISSN
23743735
E-ISSN
23743743
Citation Information
Xu, J., Park, S., Xu, J., Hamadi, H., Zhao, M., & Otani, K. (2022). Factors Impacting Patients’ Willingness to Recommend: A Structural Equation Modeling Approach. Journal of Patient Experience. https://doi.org/10.1177/23743735221077538