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迈向长期护理中的数据驱动型护理:定性分析

Toward Data-Informed Care in Long-Term Care: Qualitative Analysis.

作者信息

Bouchmal Suleyman, Sion Katya Yj, Hamers Jan Ph, Aarts Sil

机构信息

Department of Health Services Research, Limburg Living Lab in Ageing and Long-Term Care, Maastricht University, Duboisdomein 30, Maastricht, 6229 GT, The Netherlands, 31 433882222.

MeanderGroep Zuid-Limburg, Landgraaf, The Netherlands.

出版信息

JMIR Aging. 2025 Sep 12;8:e69423. doi: 10.2196/69423.

DOI:10.2196/69423
PMID:40939117
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12431161/
Abstract

BACKGROUND

In long-term care (LTC) for older adults, data on client, employee, and organization levels are collected in various ways, covering quality of care, life, and work. There is, however, a lack of understanding of how to introduce data-informed care in LTC and thus create value from data.

OBJECTIVE

This study aims to investigate the experiences and perceptions of various stakeholders in LTC regarding data and data-informed care.

METHODS

A qualitative study using the World Café cocreation technique was conducted with a diverse group of LTC stakeholders. Four questions were addressed: (1) What thoughts do you have when you hear the term "data" in relation to LTC? (2) What purposes do data have (in the future) in LTC? (3) What knowledge and skills are needed to enable data-informed care? (4) How can data contribute to and improve multidisciplinary learning? Stakeholders' notes and the plenary summary were analyzed using conventional content analysis.

RESULTS

Stakeholders included nurses, members of client councils, data specialists, researchers, and managers (N=20; mean age 50, SD 13 years). Five themes were identified: (1) despite uncertainty, the benefits of using data outweigh the associated risks; (2) the lack of accessibility and uniformity hinders integrating data-informed care; (3) human resources and finance departments pioneer data usage; however, potential lies in clinical decision-making; (4) data-informed care demands individual, collective, and organizational prerequisites; and (5) multidisciplinary collaboration enriches collective knowledge regarding data.

CONCLUSIONS

Introducing data-informed care requires enhancing data literacy of health care professionals, establishing clear communication about the role of data within the organization, and introducing new job positions, such as data scientists. Data-informed care was considered a multidisciplinary approach in which data have a supportive role to enhance collective understanding and are considered crucial for improving quality of care. .

摘要

背景

在老年人长期护理(LTC)中,关于服务对象、员工和机构层面的数据通过各种方式收集,涵盖护理质量、生活质量和工作质量。然而,对于如何在长期护理中引入基于数据的护理并从而从数据中创造价值,人们缺乏了解。

目的

本研究旨在调查长期护理中各类利益相关者对数据及基于数据的护理的体验和看法。

方法

采用世界咖啡共创技术进行了一项定性研究,研究对象为不同的长期护理利益相关者群体。探讨了四个问题:(1)当你听到与长期护理相关的“数据”一词时,你有什么想法?(2)(未来)数据在长期护理中有什么用途?(3)实现基于数据的护理需要哪些知识和技能?(4)数据如何促进和改善多学科学习?使用常规内容分析法对利益相关者的笔记和全体会议总结进行了分析。

结果

利益相关者包括护士、服务对象委员会成员、数据专家、研究人员和管理人员(N = 20;平均年龄50岁,标准差13岁)。确定了五个主题:(1)尽管存在不确定性,但使用数据的好处超过相关风险;(2)缺乏可及性和一致性阻碍了基于数据的护理的整合;(3)人力资源和财务部门率先使用数据;然而,潜力在于临床决策;(4)基于数据的护理需要个人、集体和组织层面的前提条件;(5)多学科合作丰富了关于数据的集体知识。

结论

引入基于数据的护理需要提高医疗保健专业人员的数据素养,就数据在组织中的作用建立明确的沟通,并引入新的工作岗位,如数据科学家。基于数据的护理被认为是一种多学科方法,其中数据具有支持作用,可增强集体理解,并被视为提高护理质量的关键。

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