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Relational Continuity from the Patient Perspective: Comparison of Primary Healthcare Evaluation Instruments

机译:从患者角度看关系连续性:主要医疗保健评估工具的比较

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The operational definition of relational continuity is "a therapeutic relationship between a patient and one or more providers that spans various healthcare events and results in accumulated knowledge of the patient and care consistent with the patient's needs." Objective: To examine how well relational continuity is measured in validated instruments that evaluate primary healthcare from the patient's perspective. Method: 645 adults with at least one healthcare contact in the previous 12 months responded to six instruments that evaluate primary healthcare. Five subscales map to relational continuity: the Primary Care Assessment Survey (PCAS, two subscales), the Primary Care Assessment Tool – Short Form (PCAT-S) and the Components of Primary Care Index (CPCI, two subscales). Scores were normalized for descriptive comparison. Exploratory and confirmatory (structural equation modelling) factor analysis examined fit to operational definition, and item response theory analysis examined item performance on common constructs. Results: All subscales load reasonably well on a single factor, presumed to be relational continuity, but the best model has two underlying factors corresponding to (1) accumulated knowledge of the patient and (2) relationship that spans healthcare events. Some items were problematic even in the best model. The PCAS Contextual Knowledge subscale discriminates best between different levels of accumulated knowledge, but this dimension is also captured well by the CPCI Accumulated Knowledge subscale and most items in the PCAT-S Ongoing Care subscale. For relationship-spanning events, the items' content captures concentration of care in one doctor; this is captured best by the CPCI Preference for Regular Provider subscale and, to a lesser extent, by the PCAS Visit-Based Continuity subscale and one relevant item in the PCAT-S Ongoing Care subscale. But this dimension correlates only modestly with percentage of reported visits to the personal doctor. The items function as yeso rather than ordinal options, and are especially informative for poor concentration of care. Conclusion: These subscales perform well for key elements of relational continuity, but do not capture consistency of care. They are more informative for poor relational continuity.
机译:关系连续性的操作定义是“患者与一个或多个提供者之间的治疗关系,其跨越各种医疗保健事件,并积累了患者知识和与患者需求相符的护理。”目的:检查在从患者的角度评估基础医疗保健的经过验证的仪器中,如何很好地测量关系连续性。方法:在过去12个月中有至少一位医疗保健接触者的645名成年人对六种评估基本医疗保健的仪器做出了反应。五个子量表映射到关系的连续性:初级保健评估调查(PCAS,两个子量表),初级保健评估工具-简写形式(PCAT-S)和初级保健指数的成分(CPCI,两个子量表)。将分数标准化以进行描述性比较。探索性和验证性(结构方程模型)因子分析检查是否适合运营定义,项目响应理论分析检查了常见构造上的项目性能。结果:所有子量表均在一个单一因素上合理负载,假定为关系连续性,但最佳模型具有两个潜在因素,分别对应于(1)患者的累积知识和(2)跨越医疗保健事件的关系。即使在最佳模型中,有些项目还是有问题的。 PCAS情境知识子量表可以在不同级别的累积知识之间进行最佳区分,但是CPCI累积知识子量表和PCAT-S持续护理子量表中的大多数项目也可以很好地把握这一方面。对于跨越关系的事件,这些项目的内容捕获了一位医生的护理集中度; CPCI的“常规医疗服务提供者”偏爱量表和在较小程度上的“ PCAS基于访问连续性”量表以及PCAT-S持续护理子量表中的一个相关项目可以最好地体现这一点。但是,此维度仅与报告的就诊私人医生的百分比适度相关。这些项目的作用是“是/否”,而不是顺序选项,并且对于护理集中度较差特别有用。结论:这些分量表在关系连续性的关键要素上表现良好,但不能体现护理的一致性。它们对于不良的关系连续性更有用。

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