TY - JOUR
T1 - Factors Impacting Patients’ Willingness to Recommend
T2 - A Structural Equation Modeling Approach
AU - Xu, Jing
AU - Park, Sinyoung
AU - Xu, Jie
AU - Hamadi, Hanadi
AU - Zhao, Mei
AU - Otani, Koichiro
N1 - 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
PY - 2022/2/1
Y1 - 2022/2/1
N2 - 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.
AB - 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.
KW - hospital consumer assessment of healthcare providers and systems
KW - hospital service domain
KW - inpatient satisfaction
KW - Structural equation modeling
KW - willingness to recommend
U2 - 10.1177/23743735221077538
DO - 10.1177/23743735221077538
M3 - Article
C2 - 35128045
SN - 2374-3743
VL - 9
JO - Journal of Patient Experience
JF - Journal of Patient Experience
ER -