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

Ann-Marie Towers^{1

2}, Adam Gordon^{3

4}, Arne Timon Wolters⁵, Stephen Allan⁶, Stacey Rand⁶, Lucy Anne Webster⁷, Elizabeth Crellin⁵, Richard James Brine⁵, Kaat De Corte⁵, Gizdem Akdur⁸, Lisa Irvine⁸, Jennifer Burton⁹, Barbara Hanratty^{10

11}, Anne Killett^{12

13}, Julienne Meyer^{14

15}, Liz Jones¹⁵, Claire Goodman^{8

13}

Affiliations

¹ Centre for Health Services Studies, University of Kent, Canterbury, UK a.towers@kent.ac.uk.
² NIHR Applied Research Collaboration Kent, Surrey and Sussex, Hove, UK.
³ Unit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Derby Medical School, Royal Derby Hospital, Derby, UK.
⁴ NIHR Applied Research Collaboration East Midlands, Nottingham, UK.
⁵ Improvement Analytics Unit, The Health Foundation, London, UK.
⁶ Personal Social Services Research Unit, University of Kent, Canterbury, UK.
⁷ Centre for Health Services Studies, University of Kent, Canterbury, UK.
⁸ Centre for Research in Public Health and Community Care, University of Hertfordshire, Hatfield, UK.
⁹ Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
¹⁰ Population Health Sciences Institute, Faculty of Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
¹¹ NIHR Applied Research Collaboration North East and North Cumbria, Gosforth, UK.
¹² School of Health Sciences, University of East Anglia, Norwich, UK.
¹³ NIHR Applied Research Collaboration East of England, Cambridge, UK.
¹⁴ School of Health Sciences, Division of Nursing, City University of London, London, UK.
¹⁵ National Care Forum, Coventry, UK.

PMID: 36849214
PMCID: PMC9972423
DOI: 10.1136/bmjopen-2023-071686

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

Ann-Marie Towers et al. BMJ Open. 2023.

. 2023 Feb 27;13(2):e071686.

doi: 10.1136/bmjopen-2023-071686.

Authors

Affiliations

¹ Centre for Health Services Studies, University of Kent, Canterbury, UK a.towers@kent.ac.uk.
² NIHR Applied Research Collaboration Kent, Surrey and Sussex, Hove, UK.
³ Unit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Derby Medical School, Royal Derby Hospital, Derby, UK.
⁴ NIHR Applied Research Collaboration East Midlands, Nottingham, UK.
⁵ Improvement Analytics Unit, The Health Foundation, London, UK.
⁶ Personal Social Services Research Unit, University of Kent, Canterbury, UK.
⁷ Centre for Health Services Studies, University of Kent, Canterbury, UK.
⁸ Centre for Research in Public Health and Community Care, University of Hertfordshire, Hatfield, UK.
⁹ Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
¹⁰ Population Health Sciences Institute, Faculty of Medicine, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
¹¹ NIHR Applied Research Collaboration North East and North Cumbria, Gosforth, UK.
¹² School of Health Sciences, University of East Anglia, Norwich, UK.
¹³ NIHR Applied Research Collaboration East of England, Cambridge, UK.
¹⁴ School of Health Sciences, Division of Nursing, City University of London, London, UK.
¹⁵ National Care Forum, Coventry, UK.

PMID: 36849214
PMCID: PMC9972423
DOI: 10.1136/bmjopen-2023-071686

Abstract

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.

Keywords: GERIATRIC MEDICINE; Protocols & guidelines; Quality in health care.

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Conflict of interest statement

Competing interests: None declared.

References

1. Laing W. Care homes for older people: UK market report, 30th ed. London UK, 2019.
1. Gordon AL, Franklin M, Bradshaw L, et al. . Health status of UK care home residents: a cohort study. Age Ageing 2014;43:97–103. 10.1093/ageing/aft077 - DOI - PMC - PubMed
1. Alzheimer’s Society . Fix dementia care: NHS and are homes. London, 2016. Available: https://www.alzheimers.org.uk/download/downloads/id/3026/fix_dementia_ca...
1. Burton JK, Wolters AT, Towers A-M, et al. . Developing a minimum data set for older adult care homes in the UK: exploring the concept and defining early core principles. Lancet Healthy Longev 2022;3:e186–93. 10.1016/S2666-7568(22)00010-1 - DOI - PMC - PubMed
1. Johnston L, Hockley J, Henderson DA, et al. . The development of a care home data platform in Scotland: insights from the care home innovation partnership, lothian. Health Informatics 2020. 10.1101/2020.08.17.20176503 - DOI

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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

Affiliations

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

Authors

Affiliations

Abstract

Conflict of interest statement

References

Publication types

MeSH terms

LinkOut - more resources

Full Text Sources

Research Materials

Miscellaneous