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Piloting of a minimum data set for older people living in care homes in England: protocol for a longitudinal, mixed-methods study

Lookup NU author(s): Professor Barbara Hanratty



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.INTRODUCTION: Health and care data are 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 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 3 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 National Health Service 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.

Publication metadata

Author(s): Towers A-M, Gordon A, Wolters AT, Allan S, Rand S, Webster LA, Crellin E, Brine RJ, De Corte K, Akdur G, Irvine L, Burton J, Hanratty B, Killett A, Meyer J, Jones L, Goodman C

Publication type: Article

Publication status: Published

Journal: BMJ Open

Year: 2023

Volume: 13

Issue: 2

Print publication date: 01/02/2023

Online publication date: 27/02/2023

Acceptance date: 07/02/2023

Date deposited: 14/03/2023

ISSN (electronic): 2044-6055

Publisher: BMJ Group


DOI: 10.1136/bmjopen-2023-071686

PubMed id: 36849214


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Funder referenceFunder name
NIHR Applied Research Collaboration North East and North Cumbria (ARC-NENC)