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新冠疫情期间欧洲医院与其他医疗保健组织之间的数据驱动型合作:一项针对中级医院管理人员的解释性序列混合方法研究

Data-Driven Collaboration between Hospitals and Other Healthcare Organisations in Europe During the COVID-19 Pandemic: An Explanatory Sequential Mixed-Methods Study among Mid-Level Hospital Managers.

作者信息

Ivankovic Damir, Garel Pascal, Klazinga Niek, Kringos Dionne

机构信息

Amsterdam UMC location University of Amsterdam, Department of Public and Occupational Health, Meibergdreef 9, Amsterdam, The Netherlands.

Amsterdam Public Health research institute, Quality of Care, Amsterdam, The Netherlands.

出版信息

Int J Integr Care. 2023 Jun 16;23(2):28. doi: 10.5334/ijic.6990. eCollection 2023 Apr-Jun.

Abstract

INTRODUCTION

Data and digital infrastructure drive collaboration and help develop integrated healthcare systems and services. COVID-19 induced changes to collaboration between healthcare organisations, which previously often happened in fragmented and competitive ways. New collaborative practices relied on data and were crucial in managing coordinated responses to the pandemic. In this study, we explored data-driven collaboration between European hospitals and other healthcare organisations in 2021 by identifying common themes, lessons learned and implications going forward.

METHODS

Study participants were recruited from an existing Europe-wide community of mid-level hospital managers. For data collection, we ran an online survey, conducted multi-case study interviews and organised webinars. Data were analysed using descriptive statistics, thematic analysis and cross-case synthesis.

RESULTS

Mid-level hospital managers from 18 European countries reported an increase in data exchange between healthcare organisations during the COVID-19 pandemic. Data-driven collaborative practices were goal-oriented and focused on the optimisation of hospitals' governance functions, innovation in organisational models and improvements to data infrastructure. This was often made possible by temporarily overcoming system complexities, which would otherwise hinder collaboration and innovation. Sustainability of these developments remains a challenge.

DISCUSSION

Mid-level hospital managers form a huge potential of reacting and collaborating when needed, including rapidly setting up novel partnerships and redefining established processes. Major post-COVID unmet medical needs are linked to hospital care provision, including diagnostic and therapeutic backlogs. Tackling these will require rethinking of the position of hospitals within healthcare systems, including their role in care integration.

CONCLUSION

Learning from COVID-19-induced developments in data-driven collaboration between hospitals and other healthcare organisations is important to address systemic barriers, sustain resilience and further build transformative capacity to help build better integrated healthcare systems.

摘要

引言

数据和数字基础设施推动协作,并有助于发展综合医疗保健系统和服务。新冠疫情导致医疗保健组织之间的协作发生了变化,此前这些协作往往以分散和竞争的方式进行。新的协作实践依赖数据,对于管理疫情的协调应对至关重要。在本研究中,我们通过确定共同主题、经验教训和未来影响,探索了2021年欧洲医院与其他医疗保健组织之间数据驱动的协作。

方法

研究参与者是从现有的全欧洲中级医院管理人员群体中招募的。为了收集数据,我们开展了一项在线调查,进行了多案例研究访谈并组织了网络研讨会。使用描述性统计、主题分析和跨案例综合分析对数据进行了分析。

结果

来自18个欧洲国家的中级医院管理人员报告称,在新冠疫情期间,医疗保健组织之间的数据交换有所增加。数据驱动的协作实践以目标为导向,专注于优化医院的治理功能、组织模式创新和数据基础设施改进。这通常是通过暂时克服系统复杂性来实现的,否则这些复杂性会阻碍协作和创新。这些发展的可持续性仍然是一个挑战。

讨论

中级医院管理人员在需要时具有巨大的反应和协作潜力,包括迅速建立新型伙伴关系和重新定义既定流程。新冠疫情后主要未满足的医疗需求与医院护理服务有关,包括诊断和治疗积压。应对这些问题需要重新思考医院在医疗保健系统中的地位,包括其在护理整合中的作用。

结论

从新冠疫情引发的医院与其他医疗保健组织之间数据驱动的协作发展中吸取经验教训,对于消除系统性障碍、保持复原力以及进一步增强变革能力以帮助建立更好的综合医疗保健系统至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e82/10275210/290274bfd363/ijic-23-2-6990-g1.jpg

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