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首页> 外文期刊>International journal of care coordination. >Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project
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Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project

机译:在六个欧洲国家的现实世界中评估慢性疾病管理

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Objective: To describe the interventions, research methods and main findings of the international DISMEVAL project, in which the "real-world" impact of exemplary European disease management approaches was investigated in six countries using advanced analytic techniques. Design: Across countries, the project captured a wide range of disease management strategies and settings; approaches to evaluation varied per country, but included, among others, difference-in-differences analysis and regression discontinuity analysis. Setting: Austria, Denmark, France, Germany, The Netherlands, and Spain. Participants: Health care providers and/or statutory insurance funds providing routine data from their disease management interventions, mostly retrospectively. Intervention(s): This study did not carry out an intervention but evaluated the impact of existing disease management interventions implemented in European care settings. Main outcome measure(s): Outcome measures were largely dependent on available routine data, but could concern health care structures, processes, and outcomes. Results: Data covering 10 to 36 months were gathered concerning more than 154,000 patients with three conditions. The analyses demonstrated considerable positive effects of disease management on process quality (Austria, Germany), but no more than moderate improvements in intermediate health outcomes (Austria, France, Netherlands, Spain) or disease progression (Denmark) in intervention patients, where possible compared with a matched control group. Conclusions: Assessing the "real-world" impact of chronic disease management remains a challenge. In settings where randomization is not possible and/or desirable, routine health care performance data can provide a valuable resource for practice-based evaluations using advanced analytic techniques.
机译:目的:描述国际灾难项目的干预措施,研究方法和主要发现,其中使用先进的分析技术研究了六个国家的典型欧洲疾病管理方法的“现实世界”影响。设计:在整个国家,该项目捕获了广泛的疾病管理策略和环境;评估方法各不相同,但包括差异分析和回归不连续性分析。环境:奥地利,丹麦,法国,德国,荷兰和西班牙。参与者:医疗保健提供者和/或法定保险基金,从其疾病管理干预措施中提供常规数据,主要是回顾性的。干预措施:这项研究没有进行干预,而是评估了欧洲护理环境中实施的现有疾病管理干预措施的影响。主要结果度量:结果指标在很大程度上取决于可用的常规数据,但可能涉及医疗保健结构,过程和结果。结果:收集了涵盖10到36个月的数据,涉及154,000多名患有三种疾病的患者。这些分析表明,疾病管理对过程质量(奥地利,德国)的积极影响,但在干预患者中的中级健康结果(奥地利,法国,荷兰,西班牙)或疾病进展(丹麦)中的中级健康结果(丹麦)中的中等改善不过是中等的,并在可能的情况下进行了比较。与匹配的对照组。结论:评估慢性病管理的“现实世界”影响仍然是一个挑战。在无法随机化和/或理想的设置中,常规的医疗保健绩效数据可以为使用高级分析技术提供基于实践评估的宝贵资源。

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