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Accepted for/Published in: JMIR Aging

Date Submitted: Nov 29, 2024
Date Accepted: Jul 19, 2025

The final, peer-reviewed published version of this preprint can be found here:

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

Bouchmal S, Sion KY, Hamers JP, Aarts S

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

JMIR Aging 2025;8:e69423

DOI: 10.2196/69423

PMID: 40939117

PMCID: 12431161

Towards Data-Informed Care in Long-Term Care: A Qualitative Analysis

  • Suleyman Bouchmal; 
  • Katya Y.J. Sion; 
  • Jan P.H. Hamers; 
  • Sil Aarts

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:

The present 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 co-creation 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? and 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 (care) managers (N = 20; mean age = 50; SD = 13). 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, yet 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 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.


 Citation

Please cite as:

Bouchmal S, Sion KY, Hamers JP, Aarts S

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

JMIR Aging 2025;8:e69423

DOI: 10.2196/69423

PMID: 40939117

PMCID: 12431161

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