Evidence map›Paper›PMID 40781594›Full record

ArticleBMC geriatrics2025

Piloting a minimum data set (MDS) in english care homes: a qualitative study of professional perspectives on implementation and data use.

Rachael E Carroll, Nick Smith, Sinead Er Palmer, Jennifer Kirsty Burton, Adam Lee Gordon, Ann-Marie Towers, Stacey E Rand, Freya Tracey, Anne Killett, Lucy Webster and 7 more

Abstract read
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In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Rachael E CarrollUnit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, UK.
Nick SmithCentre for Health Services Studies, University of Kent, Canterbury, UK.
Sinead Er PalmerPersonal Social Services Research Unit, University of Kent, Canterbury, UK.
Jennifer Kirsty BurtonAcademic Geriatric Medicine, School of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Sciences, University of Glasgow, G31 2ER, Glasgow, UK. jenni.burton@glasgow.ac.uk.
Adam Lee GordonUnit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, UK.
Ann-Marie TowersCentre for Health Services Studies, University of Kent, Canterbury, UK.
Stacey E RandPersonal Social Services Research Unit, University of Kent, Canterbury, UK.
Freya TraceyThe Health Foundation, London, UK.
Anne KillettSchool of Health Sciences, University of East Anglia, Norfolk, UK.
Lucy WebsterCentre for Health Services Studies, University of Kent, Canterbury, UK.
Barbara HanrattyPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Karen SpilsburySchool of Healthcare, Faculty of Medicine and Health, University of Leeds, Leeds, UK.
Gizdem AkdurCentre for Research in Public health and Community Care, University of Hertfordshire, Hatfield, UK.
Kaat De CorteThe Health Foundation, London, UK.
Julienne E MeyerNational Care Forum, Coventry, UK.
Liz JonesNational Care Forum, Coventry, UK.
Claire GoodmanNIHR Applied Research Collaboration East of England, Norwich, UK.

Funding

National Institute for Health and Care Research HS&DR 127234
6 · The paper itself

Abstract

backgroundDigitalisation within English care homes offers potential to make more effective use of substantial data collected by staff during care planning and recording. A pilot minimum data set was co-designed with stakeholders based on two digital care records with additional structured measures. Our objectives were to explore (1) care home staff opinions and experiences of collecting structured measures of quality of life, cognition and function for residents and (2) how a minimum data set data might be used by staff and other professionals interested in care homes.

methodsBetween June and October 2023 focus groups and interviews involving care home staff and Integrated Care System participants from three regions of England were undertaken. Integrated Care System staff work externally from care homes and support commissioning of services for care homes and reviewing data. We used a semi-structured topic guide. Two waves of care home focus groups were conducted after each wave of minimum data set data capture. A single wave of focus groups/interviews were undertaken with Integrated Care System participants. Reflexive thematic analysis was used to develop themes.

resultsTwenty-four staff from 22 care homes and 16 staff from 15 care homes participated in five wave one and four wave two focus groups respectively. Ten Integrated Care System participants from two of three study regions participated in one focus group (seven participants) and three individual interviews. Three themes were developed: the care home context and the importance of a minimum data set for care, appropriateness and relevance of quality of life measures to resident care, and data quality and purpose.

conclusionsCare home staff can collect structured measures on resident quality of life, function and cognition using digital care records to contribute to a minimum data set. The data generated can inform and enhance resident care. However, implementation is an evolving process requiring support, trust-building and confidence among those collecting and interpreting data and incorporation as part of routine care.

Indexed as

Attitude of Health PersonnelDatasets as TopicHealth PersonnelHomes for the AgedNursing HomesEnglandFemaleFocus GroupsHumansMalePilot ProjectsQualitative ResearchQuality of LifeCare homesImplementationMeasuresMinimum data setQuality of life

Identifiers

PMID40781594
PMCPMC12333298

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.