Towers, Ann-Marie, Gordon, Adam Lee, Wolters, Arne Timon, Allan, Stephen, Rand, Stacey, Webster, Lucy, Crellin, Elizabeth, Brine, Richard, de Corte, Kaat, Akdur, Gizdem, and others. (2023) Piloting of a minimum data set for older people living in care homes in England: protocol for a longitudinal, mixed-methods study. BMJ Open, 13 (2). Article Number e071686. ISSN 2044-6055. (doi:10.1136/bmjopen-2023-071686) (KAR id:100037)
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Official URL: https://doi.org/10.1136/bmjopen-2023-071686 |
Abstract
Introduction: Health and care data is routinely collected about care home residents in England, yet there is no way to collate these data to inform benchmarking and improvement. The Developing research resources And minimum data set for Care Homes’ Adoption and use (DACHA) study has developed a prototype minimum data set (MDS) for piloting.
Methods and analysis: A mixed-methods longitudinal pilot study will be conducted in 60 care homes (approximately 960 residents) in three regions of England, using resident data from cloud-based digital care home records at two-time points. These will be linked to resident and care home level data held within routine NHS and social care data sets. Two rounds of focus groups with care home staff (n=8-10 per region) and additional interviews with external stakeholders (n=3 per region) will explore implementation and the perceived utility of the MDS. Data will be assessed for completeness and timeliness of completion. Descriptive statistics, including percentage floor and ceiling effects will establish data quality. For validated scales, construct validity will be assessed by hypothesis testing and exploratory factor analysis will establish structural validity. Internal consistency will be established using Cronbach’s alpha. Longitudinal analysis of the pilot data will demonstrate the value of the MDS to each region. Qualitative data will be analysed inductively using thematic analysis to understand the complexities of implementing an MDS in care homes for older people.
Ethics and dissemination: The study has received ethical approval from the London Queen’s Square Research Ethics Committee [22/LO/0250]. Informed consent is required for participation. Findings will be disseminated to: academics working on data use and integration in social care, care sector organisations, policy makers, and commissioners. Findings will be published in peer-reviewed journals. Partner NIHR Applied Research Collaborations, the National Care Forum, and the British Geriatrics Society will disseminate policy briefs.
Item Type: | Article |
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DOI/Identification number: | 10.1136/bmjopen-2023-071686 |
Projects: | 23190 |
Additional information: | For the purpose of open access, the author has applied a CC BY public copyright licence (where permitted by UKRI, an Open Government Licence or CC BY ND public copyright licence may be used instead) to any Author Accepted Manuscript version arising |
Uncontrolled keywords: | Protocol, care homes, DACHA, minimum dataset |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: |
Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research > Personal Social Services Research Unit Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research > Centre for Health Services Studies |
Funders: | National Institute for Health Research (https://ror.org/0187kwz08) |
Depositing User: | Ann-Marie Towers |
Date Deposited: | 15 Feb 2023 11:11 UTC |
Last Modified: | 05 Nov 2024 13:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/100037 (The current URI for this page, for reference purposes) |
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