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患者共享网络中的医疗组织与质量

Organization and quality of care in patient-sharing networks.

作者信息

Flemming Ronja, Sundmacher Leonie

机构信息

Chair of Health Economics, Technical University of Munich, Georg-Brauchle-Ring 60, 80992, Munich, Germany.

Chair of Health Economics, Technical University of Munich, Georg-Brauchle-Ring 60, 80992, Munich, Germany.

出版信息

Health Policy. 2023 Oct;136:104891. doi: 10.1016/j.healthpol.2023.104891. Epub 2023 Aug 18.

DOI:10.1016/j.healthpol.2023.104891
PMID:37651969
Abstract

Healthcare systems seek to provide continuous and coordinated care of high quality. However, patient pathways in the ambulatory sector may differ and result in various provider units. Our aim was to analyze whether health outcomes and the quality of care differ between different types of patient-sharing physician networks. We analyzed administrative data on patients with diagnosed heart failure in Germany. We investigated distinct networks of ambulatory physicians by using a modular-based optimization algorithm and characterized each network as having either a key physician at its center or some other kind of configuration. We subsequently conducted multilevel regression analyses to estimate the impact a network's configuration has on hospitalization rates and guideline-based process indicators. We identified 1,847 networks, of which 27% had a key physician at their center. Compared to physician networks with other configurations, networks that had a key physician at their center were associated in our regression analysis with (a) somewhat lower hospitalization rates, and (b) heart failure treatment that was more frequently in concordance with the German national treatment guideline. Organizing healthcare for people with chronic disease into units that have a key physician at their center and include the relevant specialists may foster treatment that is effective and of higher quality.

摘要

医疗保健系统致力于提供持续且协调的高质量护理。然而,门诊部门的患者就医途径可能存在差异,进而导致不同的医疗服务提供单位。我们的目的是分析不同类型的患者共享医生网络之间的健康结果和护理质量是否存在差异。我们分析了德国确诊心力衰竭患者的管理数据。我们使用基于模块的优化算法研究了门诊医生的不同网络,并将每个网络的特征描述为以一名关键医生为中心或其他某种配置。随后,我们进行了多层次回归分析,以估计网络配置对住院率和基于指南的流程指标的影响。我们识别出1847个网络,其中27%以一名关键医生为中心。在我们的回归分析中,与具有其他配置的医生网络相比,以一名关键医生为中心的网络与以下两点相关:(a)住院率略低;(b)心力衰竭治疗更频繁地符合德国国家治疗指南。将慢性病患者的医疗保健组织成以一名关键医生为中心并包括相关专科医生的单位,可能会促进更有效且质量更高的治疗。

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