门诊病人满意度与其他相关因素的关系

Siti Nur Fadhilah Masrom, Phang Yook Ngor, R. M. Rani
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引用次数: 0

摘要

提高马来西亚的保健质量有助于促进国家发展。在公共医疗卫生中,患者满意度是检验医疗卫生质量的标准,是有效、准确地提供医疗卫生服务的标准。本研究旨在探讨某公立诊所门诊部患者满意度与其他相关因素的关系。本研究调查的相关因素包括等候时间、员工人际关系及技术素质、服务、设施及整体。调查问卷分发给在柔佛州一家公立诊所门诊部就诊的患者。本研究采用定量方法。虽然发放了500份问卷,但只有447份被确定为完整的问卷。通过SPSS软件对问卷收集的患者满意度数据进行描述性统计(频率%、均值和标准差)和推断性统计(独立t检验和方差分析)分析。采用SPSS软件分析问卷,显示患者人口学信息、疾病特征、治疗方法等相关因素。患者对等待时间、员工人际关系和技术质量、服务和整体的满意度水平采用独立t检验来确定性别之间是否存在统计学差异。另一个是单因素方差分析,检验社会地位、最高收入和就诊频率是否显著影响患者对等待时间的满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Association Between Patient Satisfaction and other Related Factors at the Outpatient Department
Improving the quality of health in Malaysia contributes to improving national development. Patient satisfaction in public healthcare is the yardstick for healthcare quality to provide healthcare services effectively and accurately. The study aimed to define the relationship between patient satisfaction and other related factors in the outpatient department in a public clinic. Related factors investigated in this study were waiting time, staff interpersonal and technical quality, services, facility, and overall. The questionnaires were distributed to the patients visiting the outpatient department at a public clinic in Johor. A quantitative approach was used in this study. Although 500 questionnaires were distributed, only 447 were identified as complete questionnaires. The collected data on patient satisfaction from the questionnaire were analysed by SPSS Software using descriptive statistics (frequency (%), mean and standard deviation) and inferential statistics (independent t-test and ANOVA). The questionnaire analysed using SPSS software showed patient demographic information, disease characteristics, treatment, and other related factors. The level of patient satisfaction for waiting time, staff interpersonal and technical quality, service, and overall was tested using an independent t-test to determine whether there was a statistically significant difference between genders. The other is a one-way ANOVA, which examines whether status, the highest income, and frequency of hospital visits significantly affect patient satisfaction with waiting time.
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