Xu Jing, Park Sinyoung, Xu Jie, Hamadi Hanadi, Zhao Mei, Otani Koichiro
Department of Health Administration, Brooks College of Health, University of North Florida, Jacksonville, FL, USA.
Clinical Science, Johnson & Johnson Vision, Jacksonville, FL, USA.
J Patient Exp. 2022 Feb 1;9:23743735221077538. doi: 10.1177/23743735221077538. eCollection 2022.
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.
由于更高的患者满意度会给医院带来经济收益，并与更好的患者医疗保健结果相关联，住院患者对住院体验的评分一直是先前研究的重点。然而，同时考虑医院内部和医院之间影响的研究并不常见。我们构建了一个多层次结构方程模型，以确定在医院内部和医院之间层面上患者推荐医院意愿的预测因素。我们使用了来自60家美国综合医疗和外科医院以及12115名患者的数据。多层次结构方程模型报告称，患者对整体护理质量的评分显著影响医院内部的推荐意愿。此外，患者对医院环境和护理的看法是预测患者对整体护理质量评分的重要因素。总体患者满意度显著预测医院之间层面上的推荐意愿，而医院规模和位置的影响较小。
