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Assessment of the Value of Health Provider Expectations: An Attempt to Fully Conceptualize Patient Satisfaction

机译:对医疗服务提供者期望值的评估:尝试将患者满意度完全概念化

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This paper reports the results of an investigation to assess the value (validity and reliability) of health provider expectations in an attempt to broaden the construct “patient satisfaction”. Data were collected from 25 health providers through a 16-item Likert-type survey. The variable “expectation” was measured by factors such as cleanliness, privacy, healthcare, space on hospital wards and adequacy of food serv ings. The data were analyzed and assessed using exploratory and confirmatory factor analyses. The results indicate that 11 of 16 factors loaded separately onto three components. However, only component two: (tidiness and cleanliness) comprising items 10, 15 and 16, proved to be significant (Average Variance Extracted = 0.512, Construct Reliability = 0.740; Cronbach’s Alpha = 0.687). Furthermore, it was confirmed that item 15 was the strongest contributor to component two (Beta = 1.020). To test sampling adequacy and adequacy of correlation for factor loadings, Kaiser-Mayer-Olkin and Bartlett’s Test of Sphericity respectively were performed. Despite sampling inadequacy (0.440 < 0.60), the analysis proceeded owing to the fact that the result of Bartlett’s test was statistically significant (p = 0.006). This paper concludes that the instrument should be modified and retested using larger samples of healthcare providers before a broad epistemological framework of patient satisfaction can be hypothesized.
机译:本文报告了一项调查结果,以评估医疗服务提供者的期望值(有效性和可靠性),以期扩大“患者满意度”的结构。通过16项Likert型调查从25位医疗服务提供者收集了数据。变量“期望”是通过诸如清洁度,隐私,医疗保健,医院病房的空间以及食物服务的充足性等因素来衡量的。使用探索性和确认性因素分析法对数据进行分析和评估。结果表明,16个因子中的11个分别加载到三个组件上。但是,只有组成10、15和16的第二个组成部分(整洁和清洁)被证明是有意义的(提取的平均方差= 0.512,构造可靠度= 0.740; Cronbach的Alpha = 0.687)。此外,已确认项目15是构成第二部分的最大贡献者(Beta = 1.020)。为了测试因子加载的抽样充分性和相关性的充分性,分别进行了Kaiser-Mayer-Olkin和Bartlett的球形度测试。尽管抽样不足(0.440 <0.60),但由于Bartlett检验的结果具有统计学意义(p = 0.006),因此进行了分析。本文的结论是,在可以假设患者满意度的广泛认识论框架之前,应使用较大的医疗服务提供者样本对仪器进行修改和重新测试。

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