Kpehe Musa, Massirfufulay, Akdur, Gizdem, Brand, Sarah, Killett, Anne, Spilsbury, Karen, Peryer, Guy, Burton, Jennifer, Gordon, Adam, Towers, Ann-Marie, Irvine, Lisa, Kelly, Sarah, Jones, Liz, Meyer, Julienne and Goodman, Claire (2022) The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: A realist review. BMC Geriatrics, 22. ISSN 1471-2318
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Abstract
Background: Care homes provide long term care for older people. Countries with standardised approaches to residents’ assessment, care planning and review (known as minimum data sets (MDS)) use the aggregate data to guide resource allocation, monitor quality, and for research. Less is known about how an MDS affects how staff assess, provide and review residents’ everyday care. The review aimed to develop a theory-driven understanding of how care home staff can effectively implement and use MDS to plan and deliver care for residents. Methods: The realist review was organised according to RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines. There were three overlapping stages: 1) defining the scope of the review and theory development on the use of minimum data set 2) testing and refining candidate programme theories through iterative literature searches and stakeholders’ consultations) as well as discussion among the research team; and 3) data synthesis from stages 1 and 2. The following databases were used MEDLINE via OVID, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), ASSIA [Applied Social Sciences Citation Index and Abstracts]) and sources of grey literature. Results: Fifty-one papers informed the development of three key interlinked theoretical propositions: motivation (mandates and incentives for Minimum Data Set completion); frontline staff monitoring (when Minimum Data Set completion is built into the working practices of the care home); and embedded recording systems (Minimum Data Set recording system is integral to collecting residents’ data). By valuing the contributions of staff and building on existing ways of working, the uptake and use of an MDS could enable all staff to learn with and from each other about what is important for residents’ care. Conclusions: Minimum Data Sets provides commissioners service providers and researchers with standardised information useful for commissioning planning and analysis. For it to be equally useful for care home staff it requires key activities that address the staff experiences of care, their work with others and the use of digital technology. Registration: PROSPERO registration number CRD42020171323.
Item Type: | Article |
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Additional Information: | Availability of data and materials: The data generated and analysed during the current review are not suitable for sharing beyond that contained within the report. Further information can be obtained from the corresponding author on reasonable request. Funding information: The DACHA study is funded by the National Institute for Health Research Health Service & Delivery Research programme (NIHR HS&DR project number NIHR127234) and supported by NIHR Applied Research Collaborations (East of England, East Midlands, Yorkshire and Humber, North East and Cumbria). Claire Goodman is an NIHR Senior Investigator. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the NIHR HS&DR, ARC, NIHR, NHS or the Department of Health and Social Care. |
Uncontrolled Keywords: | older people care,care home,long-term care,minimum-data-set,standardised care,geriatrics and gerontology ,/dk/atira/pure/subjectarea/asjc/2700/2717 |
Faculty \ School: | Faculty of Medicine and Health Sciences > School of Health Sciences |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Dementia & Complexity in Later Life Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 22 Dec 2021 10:30 |
Last Modified: | 06 Feb 2025 10:19 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/82794 |
DOI: | 10.1186/s12877-021-02705-w |
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