华南预防医学 ›› 2025, Vol. 51 ›› Issue (7): 715-719.doi: 10.12183/j.scjpm.2025.0715

• 论著 • 上一篇    下一篇

新医改背景下河西地区门诊患者满意度指数模型构建及实证研究

王莉萍, 吴亚蓉, 王洁   

  1. 武威市人民医院,甘肃 武威 733000
  • 收稿日期:2025-02-15 出版日期:2025-07-20 发布日期:2025-08-25
  • 作者简介:王莉萍(1978—),女,大学本科,主管护师,研究方向为医院管理、门诊管理
  • 基金资助:
    2024年武威市市级科技计划项目(WW24B01SF061)

Construction and empirical analysis of an outpatient patient satisfaction index model in the Hexi region under the new healthcare reform

WANG Liping, WU Yarong, WANG Jie   

  1. Wuwei People's Hospital, Wuwei, Gansu 733000, China
  • Received:2025-02-15 Online:2025-07-20 Published:2025-08-25

摘要: 目的 在新医改背景下,构建适用于河西地区的门诊患者满意度指数模型(HX-CCSI),探索其影响因素,为提升区域医疗服务质量和优化医患关系提供理论依据。方法 基于顾客满意度指数模型(CCSI)和服务接触理论,构建理论模型(HX-CCSI)并开发配套量表,采用Likert 5级量表设计问卷,通过预测试验证信效度后,于2024年1—7月对武威地区10 634例门诊患者进行满意度调查。数据通过结构方程模型分析,验证各潜变量间的路径关系。结果 预测试结果显示,基于HX-CCSI模型的量表Cronbach′s α=0.89,各潜变量α均>0.70,分半信度系数为0.811。探索性因子分析提取6个因子,累计方差解释率68.5%,结构效度良好。潜变量相关性显示,感知价值(PV)(r=0.71)、满意度(PS)(r=0.66)、忠诚度(LO)(r=0.63)、医患沟通(DPC)(r=0.60)、诊疗技术(MC)(r=0.61)均呈现显著正相关(均P<0.01)。患者期望(PE)(r=0.58)、流程效率(PEFF)(r=0.55)与服务环境(SE)(r=0.52)呈现中等正相关(均P<0.01),抱怨倾向(CT)与满意度(PS)呈负相关(r=-0.42,P<0.01)。费用透明度(CTY)相关性较低(r=0.30,P<0.05)。感知价值(PV)对满意度(PS)正向作用最强(β=0.57),满意度(PS)显著提升忠诚度(LO)(β=0.63),但对抱怨倾向(CT)抑制较弱(β=-0.28)。结论 本研究构建的HX-CCSI模型证实,诊疗技术和医患沟通是提升门诊满意度的关键因素,而高医保报销弱化了费用透明度的作用。建议重点提升医疗技术和沟通质量,优化服务流程,并建立专门投诉机制,为河西地区门诊服务改进提供科学依据。

关键词: 患者满意度, 满意度指数模型, 医患沟通, 诊疗技术, 感知价值, 忠诚度

Abstract: Objective This study aimed to construct an outpatient satisfaction index model (HX-CCSI) applicable to the Hexi region within the context of the new healthcare reform. The research sought to explore the determinants of outpatient satisfaction, thereby providing a theoretical foundation for enhancing regional medical service quality and optimizing physician-patient relationships. Methods Based on the Customer Satisfaction Index (CCSI) model and service encounter theory, a theoretical model (HX-CCSI) and a corresponding measurement scale were developed. A questionnaire employing a Likert 5-point scale was designed. Following a pilot test to validate its reliability and validity, a cross-sectional survey was administered to 10 634 outpatients in the Wuwei area from January to July 2024. The collected data were analyzed using structural equation modeling to verify the path relationships among the latent variables. Results The pilot test yielded a Cronbach's alpha coefficient of 0.89 for the HX-CCSI scale, with all latent variables exceeding 0.70, and a split-half reliability coefficient of 0.811. Exploratory factor analysis extracted six factors, accounting for a cumulative variance of 68.5%, which indicated good construct validity. Correlation analysis of the latent variables revealed significant positive correlations (all P<0.01) for Perceived Value (PV) (r=0.71), Patient Satisfaction (PS) (r=0.66), Loyalty (LO) (r=0.63), Doctor-Patient Communication (DPC) (r=0.60), and Medical Competence (MC) (r=0.61). Moderate positive correlations (all P<0.01) were observed for Patient Expectations (PE) (r=0.58), Process Efficiency (PEFF) (r=0.55), and Service Environment (SE) (r=0.52). Complaint Tendency (CT) was negatively correlated with satisfaction (r=-0.42, P<0.01). Cost Transparency (CTY) demonstrated a weaker correlation (r=0.30, P<0.05). Perceived Value (PV) exerted the strongest positive effect on Satisfaction (PS) (β=0.57). Satisfaction (PS) significantly enhanced Loyalty (LO) (β=0.63) but had a weaker inhibitory effect on Complaint Tendency (CT) (β=-0.28). Conclusions The HX-CCSI model constructed in this study confirms that medical competence and doctor-patient communication are pivotal factors in enhancing outpatient satisfaction. The influence of cost transparency was found to be attenuated by high medical insurance reimbursement rates. It is recommended that priority be given to improving medical technology and communication quality, optimizing service processes, and establishing a dedicated complaint mechanism. These findings provide a scientific basis for the improvement of outpatient services in the Hexi region.

Key words: Patient satisfaction, Satisfaction index model, Doctor-patient communication, Medical competence, Perceived value, Loyalty

中图分类号: 

  • R197.3