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

IF 4.8 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2025-09-12 DOI:10.2196/69423
Suleyman Bouchmal, Katya Yj Sion, Jan Ph Hamers, Sil Aarts
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引用次数: 0

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. .

迈向长期照护的资料知情照护:质性分析。
背景:在老年人的长期护理(LTC)中,客户、员工和组织层面的数据以各种方式收集,涵盖护理质量、生活和工作。然而,对于如何在长期医疗服务中引入数据知情护理,从而从数据中创造价值,人们缺乏理解。目的:本研究旨在调查LTC中不同利益相关者对数据和数据知情护理的经验和看法。方法:对不同的LTC利益相关者群体进行了一项使用世界咖啡共同创造技术的定性研究。我们解决了四个问题:(1)当您听到与LTC相关的术语“数据”时,您有什么想法?(2)数据(在未来)在LTC中有什么用途?(3)需要哪些知识和技能来实现数据知情的护理?(4)数据如何促进和改善多学科学习?使用传统的内容分析分析了利益相关者的说明和全体会议摘要。结果:利益相关者包括护士、客户委员会成员、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,但使用数据的好处大于相关风险;(2)缺乏可及性和统一性阻碍了数据知情医疗的整合;(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)数据知情的护理需要个人、集体和组织的先决条件;(5)多学科合作丰富了关于数据的集体知识。结论:引入数据知情的护理需要提高卫生保健专业人员的数据素养,在组织内建立关于数据作用的明确沟通,并引入新的职位,如数据科学家。数据知情的护理被认为是一种多学科方法,其中数据具有增强集体理解的支持性作用,被认为对提高护理质量至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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