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Patient-centeredness in Integrated healthcare delivery systems - Needs, expectations and priorities for organized healthcare systems

机译:综合医疗保健交付系统中的以患者为中心-组织化医疗保健系统的需求,期望和优先事项

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Introduction : Patient-centred healthcare is becoming a more significant success factor in the design of integrated healthcare systems. The objective of this study is to structure a patient-relevant hierarchy of needs and expectations for the design of organised healthcare delivery systems. Methods : A questionnaire with 84 items was conducted with N = 254 healthcare experts and N = 670 patients. Factor analyses were performed using SPSS?18. The number of factors retained was controlled by Kaiser's criterion, validation of screeplots and interpretability of the items. Cronbach's α was used to assess the internal consistency of the subscales. Results : Exploratory factor analysis led to 24 factors in the expert sample and 20 in the patient sample. After analysing the screeplots, confirmatory factor analyses were computed for 7-factor solutions accounting for 42.963% of the total variance and Kaiser–Meyer–Olkinof 0.914 for the patients (experts: 38.427%, Kaiser–Meyer–Olkin = 0.797). Cronbach's α ranged between 0.899 and 0.756. Based on the analysis, coordinated care could be differentiated into seven dimensions: access, data and information, service and infrastructure, professional care, interpersonal care, individualised care, continuity and coordination. Conclusion and Discussion : The study provides insight into patient and experts expectations towards the organisation of integrated healthcare delivery systems. If providers and payers can take into account patient needs and expectations while implementing innovative healthcare delivery systems, greater acceptance and satisfaction will be achieved. In the best case, this will lead to better adherence resulting in better clinical outcomes.
机译:简介:以患者为中心的医疗保健正在成为集成医疗保健系统设计中更为重要的成功因素。这项研究的目的是为有组织的医疗保健提供系统的设计构建与患者相关的需求和期望层次。方法:对N = 254名医疗保健专家和N = 670名患者进行了84项问卷调查。使用SPSS?18进行因子分析。保留的因素数量由凯撒(Kaiser)准则,折衷图验证和项目的可解释性控制。 Cronbach'sα用于评估分量表的内部一致性。结果:探索性因素分析导致专家样本中包含24个因素,而患者样本中包含20个因素。在对折衷图进行分析之后,针对占总方差42.963%的7因子解决方案进行了验证性因子分析,对患者而言,Kaiser-Meyer-Olkin为0.914(专家:38.427%,Kaiser-Meyer-Olkin = 0.797)。 Cronbach的α介于0.899和0.756之间。根据分析,协调式护理可以分为七个维度:访问,数据和信息,服务和基础设施,专业护理,人际护理,个性化护理,连续性和协调性。结论与讨论:该研究提供了对患者和专家对综合医疗保健交付系统组织的期望的见解。如果提供者和付款人在实施创新的医疗保健提供系统时能够考虑患者的需求和期望,则将获得更大的接受度和满意度。在最佳情况下,这将导致更好的依从性,从而带来更好的临床结果。

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