Ren Weicun, Sun Lei, Tarimo Clifford Silver, Li Quanman, Wu Jian
College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China.
College of Sanquan, Xinxiang Medical University, Xinxiang, People's Republic of China.
BMC Health Serv Res. 2021 May 25;21(1):500. doi: 10.1186/s12913-021-06520-2.
The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China.
We analyzed data from Henan Large Hospitals Patient Satisfaction Survey conducted in the year 2018 and included 630 outpatients. Structural Equation Model (SEM) was used to explore the relationship among evaluation indicators of outpatient satisfaction levels. We used Dynamic Matter-Element Analysis (DMA) to evaluate the status of outpatient satisfaction. Binary Logistic Regression (BLR) was adopted to estimate the impact of personal characteristics towards outpatient satisfaction.
The overall score for outpatient satisfaction in large hospitals was 66.28±14.73. The mean outpatient satisfaction scores for normal-large, medium-large, and extra-large hospitals were 63.33±12.12, 70.11±16.10, 65.41±14.67, respectively, and were significantly different (F = 11.953, P < 0.001). Waiting time, doctor-patient communication, professional services, and accessibility for treatment information were shown to have directly positive correlations with outpatient satisfaction (r = 0.42, 0.47, 0.55, 0.46, all P < 0.05). Results from BLR analysis revealed that patients' age and frequency of hospital visits were the main characteristics influencing outpatient satisfaction (P < 0.05).
The outpatient satisfaction of large hospitals is moderately low. Hospital managers could shorten the waiting time for outpatients and improve the access to treatment information to improve the satisfaction of outpatients. It is also necessary to enhance service provision for outpatients under the age of 18 as well as the first-time patients.
门诊患者满意度水平在提高医疗服务质量和利用率方面发挥着重要作用。患者满意度使医疗服务提供者能够深入了解服务的各个方面,包括护理效果和同理心水平。本研究旨在评估中国河南省大型医院(床位超过1000张)门诊患者的满意度水平,并探讨其影响因素。
我们分析了2018年进行的河南大型医院患者满意度调查的数据,其中包括630名门诊患者。采用结构方程模型(SEM)探讨门诊满意度水平评价指标之间的关系。我们使用动态物元分析(DMA)来评估门诊满意度状况。采用二元逻辑回归(BLR)估计个人特征对门诊满意度的影响。
大型医院门诊患者满意度总分为66.28±14.73。正常大型、中型大型和特大型医院的门诊患者满意度平均得分分别为63.33±12.12、70.11±16.10、65.41±14.67,差异有统计学意义(F = 11.953,P < 0.001)。候诊时间、医患沟通、专业服务和治疗信息获取与门诊患者满意度呈直接正相关(r = 0.42、0.47、0.55、0.46,均P < 0.05)。二元逻辑回归分析结果显示,患者年龄和就诊频率是影响门诊患者满意度的主要特征(P < 0.05)。
大型医院门诊患者满意度中等偏低。医院管理者可以缩短门诊患者的候诊时间,改善治疗信息获取,以提高门诊患者的满意度。此外,有必要加强对18岁以下门诊患者以及初诊患者的服务。