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Piloting a minimum data set for older people living in care homes in England: a developmental study

Gordon, Adam L; Rand, Stacey; Crellin, Elizabeth; Allan, Stephen; Tracey, Freya; De Corte, Kaat; Lloyd, Therese; Brine, Richard; Carroll, Rachael E; Towers, Ann-Marie; Burton, Jennifer Kirsty; Akdur, Gizdem; Hanratty, Barbara; Webster, Lucy; Palmer, Sinead; Jones, Liz; Meyer, Julienne; Spilsbury, Karen; Killett, Anne; Wolters, Arne T; Peryer, Guy; Goodman, Claire

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Authors

Adam L Gordon

Stacey Rand

Elizabeth Crellin

Stephen Allan

Freya Tracey

Kaat De Corte

Therese Lloyd

Richard Brine

Ann-Marie Towers

Jennifer Kirsty Burton

Gizdem Akdur

Barbara Hanratty

Lucy Webster

Sinead Palmer

Liz Jones

Julienne Meyer

Karen Spilsbury

Anne Killett

Arne T Wolters

Guy Peryer

Claire Goodman



Abstract

Background
We developed a prototype minimum data set (MDS) for English care homes, assessing feasibility of extracting data directly from digital care records (DCRs) with linkage to health and social care data.

Methods
Through stakeholder development workshops, literature reviews, surveys and public consultation we developed an aspirational MDS. We identified ways to extract this from existing sources including DCRs and routine health and social care datasets. To address gaps we added validated measures of delirium, cognitive impairment, functional independence and Quality of Life to DCR software. Following routine health and social care data linkage to DCRs, we compared variables recorded across multiple data sources, using a hierarchical approach to reduce missingness where appropriate. We reported proportions of missingness, mean and standard deviation (SD) or frequencies (%) for all variables.

Results
We recruited 996 residents from 45 care homes in three English Integrated Care Systems. 727 residents had data included in the MDS. Additional data were well completed (<35% missingness at wave 1). Competition for staff time, staff attrition, and software-related implementation issues contributed to missing DCR data. Following data linkage and combining variables where appropriate, missingness was reduced (<=4% where applicable).

Discussion
Integration of health and social care is predicated on access to data and interoperability. Despite governance challenges we safely linked care home DCRs to statutory health and social care datasets to create a viable prototype MDS for English care homes. We identified issues around data quality, governance, data plurality and data completion essential to MDS implementation going forward.

Citation

Gordon, A. L., Rand, S., Crellin, E., Allan, S., Tracey, F., De Corte, K., Lloyd, T., Brine, R., Carroll, R. E., Towers, A.-M., Burton, J. K., Akdur, G., Hanratty, B., Webster, L., Palmer, S., Jones, L., Meyer, J., Spilsbury, K., Killett, A., Wolters, A. T., …Goodman, C. (2025). Piloting a minimum data set for older people living in care homes in England: a developmental study. Age and Ageing, 54(1), Article afaf001. https://doi.org/10.1093/ageing/afaf001

Journal Article Type Article
Acceptance Date Jan 2, 2025
Online Publication Date Jan 15, 2025
Publication Date 2025-01
Deposit Date Dec 16, 2024
Publicly Available Date Jan 17, 2025
Print ISSN 0002-0729
Electronic ISSN 1468-2834
Publisher Oxford University Press
Peer Reviewed Peer Reviewed
Volume 54
Issue 1
Article Number afaf001
DOI https://doi.org/10.1093/ageing/afaf001
Keywords Care homes; minimum dataset; data linkage; quality of life; digital care record
Public URL https://nottingham-repository.worktribe.com/output/36016069
Publisher URL https://academic.oup.com/ageing/article/54/1/afaf001/7954187

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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
© The Author(s) 2025. Published by Oxford University Press on behalf of the British Geriatrics Society.This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.





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