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德国大学医院中与大流行相关的质量和患者安全核心质量指标集的制定。

Development of a pandemic-related core set of quality indicators for quality and patient safety in University Hospitals in Germany.

作者信息

Evers Janis, Altschuck Natalie, Mehl Claudia, Rüthrich Lilly, Harst Lorenz, Walther Felix, Steidle Oliver, Suckow Arnt, Hecker Ruth, Schmitt Jochen, Geraedts Max

机构信息

Institute for Health Services Research and Clinical Epidemiology, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany.

Department of Health Sciences, University of Applied Sciences Fulda, Fulda, Germany.

出版信息

BMC Health Serv Res. 2025 Jan 8;25(1):43. doi: 10.1186/s12913-024-12194-3.

Abstract

BACKGROUND

The COVID-19 pandemic entailed a global health crisis, significantly affecting medical service delivery in Germany as well as elsewhere. While intensive care capacities were overloaded by COVID cases, not only elective cases but also non-COVID cases requiring urgent treatment unexpectedly decreased, potentially leading to a deterioration in health outcomes. However, these developments were only uncovered retrospectively. Especially university hospitals, which were meant to take on a central coordinating role, did not have detailed information on expected healthcare utilization, available resources and capacities, and the quality of medical care. The experience of compromised healthcare and a lack of monitoring during the COVID-19 pandemic made it clear that healthcare systems should be better prepared. Therefore, the aim of this work was to develop a set of indicators suited to detect undesirable developments concerning the provision of inpatient healthcare.

MATERIAL & METHODS: The study employed a literature review, online surveys, expert interviews, and a multistep evaluation process to develop a core set of quality indicators (QIs) suitable for assessing the resilience of university hospitals during pandemics. This initial set of indicators was refined through consultations with a) quality and risk management officials from German university hospitals via an online survey and b) a diverse panel of experts.

RESULTS

The comprehensive evaluation identified two primary strands: organizational/management indicators (Strand A, 60 indicators) and disease-specific clinical quality and patient safety indicators (Strand B, 20 indicators for critical conditions like stroke, myocardial infarction, and cancer.) Three additional indicators were added after a final expert panel meeting, resulting in a final set of 83 indicators.

DISCUSSION AND CONCLUSION

The developed QIs mark a significant advancement in the operational preparedness of university hospitals for pandemics. The study contributes to quality management in healthcare during pandemics by creating the basis for a structured approach to pandemic preparedness and response. This unique set of QIs within the German context presents an opportunity for establishing quality improvement, underscoring the importance of a robust, adaptable quality management framework as a basis for safeguarding against future health crises.

摘要

背景

新冠疫情引发了一场全球健康危机,对德国及其他地区的医疗服务提供产生了重大影响。虽然新冠病例使重症监护能力不堪重负,但不仅择期病例,而且需要紧急治疗的非新冠病例也意外减少,这可能导致健康结果恶化。然而,这些情况只是在事后才被发现。特别是本应发挥核心协调作用的大学医院,没有关于预期医疗服务利用情况、可用资源和能力以及医疗质量的详细信息。新冠疫情期间医疗服务受损以及缺乏监测的经历表明,医疗系统应做好更好的准备。因此,这项工作的目的是制定一套指标,以检测住院医疗服务提供方面的不良发展情况。

材料与方法

该研究采用文献综述、在线调查、专家访谈以及多步骤评估过程,以制定一套适合评估大学医院在疫情期间恢复力的核心质量指标(QIs)。这组初始指标通过以下方式进行了完善:a)通过在线调查与德国大学医院的质量和风险管理官员进行协商;b)与一个多元化的专家小组进行协商。

结果

全面评估确定了两个主要类别:组织/管理指标(A类,60项指标)以及疾病特异性临床质量和患者安全指标(B类,针对中风、心肌梗死和癌症等危急情况的20项指标)。在最后一次专家小组会议后又增加了三项指标,最终形成了一套83项指标。

讨论与结论

所制定的质量指标标志着大学医院在应对疫情的业务准备方面取得了重大进展。该研究通过为疫情防范和应对的结构化方法奠定基础,为疫情期间的医疗质量管理做出了贡献。在德国背景下,这套独特的质量指标为建立质量改进提供了契机,强调了强大、适应性强的质量管理框架作为防范未来健康危机基础的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70f0/11708090/d2f07ea2e76b/12913_2024_12194_Fig1_HTML.jpg

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