Study protocol for a cluster randomised controlled feasibility trial evaluating personalised care planning for older people with frailty: PROSPER V2 27/11/18.

Cluster Frailty Older people Personalised care planning Quality of life RCT eFI

Journal

Pilot and feasibility studies
ISSN: 2055-5784
Titre abrégé: Pilot Feasibility Stud
Pays: England
ID NLM: 101676536

Informations de publication

Date de publication:
2020
Historique:
received: 18 12 2019
accepted: 07 04 2020
entrez: 2 5 2020
pubmed: 2 5 2020
medline: 2 5 2020
Statut: epublish

Résumé

Frailty is characterised by increased vulnerability to falls, disability, hospitalisation and care home admission. However, it is relatively reversible in the early stages. Older people living with frailty often have multiple health and social issues which are difficult to address but could benefit from proactive, person-centred care. Personalised care planning aims to improve outcomes through better self-management, care coordination and access to community resources. This feasibility cluster randomised controlled trial aims to recruit 400 participants from 11 general practice clusters across Bradford and Leeds in the north of England. Eligible patients will be aged over 65 with an electronic frailty index score of 0.21 (identified via their electronic health record), living in their own homes, without severe cognitive impairment and not in receipt of end of life care. After screening for eligible patients, a restricted 1:1 cluster-level randomisation will be used to allocate practices to the PROSPER intervention, which will be delivered over 12 weeks by a personal independence co-ordinator worker, or usual care. Following initial consent, participants will complete a baseline questionnaire in their own home including measures of health-related quality of life, activities of daily living, depression and health and social care resource use. Follow-up will be at six and 12 months. Feasibility outcomes relate to progression criteria based around recruitment, intervention delivery, retention and follow-up. An embedded process evaluation will contribute to iterative intervention optimisation and logic model development by examining staff training, intervention implementation and contextual factors influencing delivery and uptake of the intervention. Whilst personalised care planning can improve outcomes in long-term conditions, implementation in routine settings is poor. We will evaluate the feasibility of conducting a cluster randomised controlled trial of personalised care planning in a community population based on frailty status. Key objectives will be to test fidelity of trial design, gather data to refine sample size calculation for the planned definitive trial, optimise data collection processes and optimise the intervention including training and delivery. ISRCTN12363970 - 08/11/18.

Sections du résumé

BACKGROUND BACKGROUND
Frailty is characterised by increased vulnerability to falls, disability, hospitalisation and care home admission. However, it is relatively reversible in the early stages. Older people living with frailty often have multiple health and social issues which are difficult to address but could benefit from proactive, person-centred care. Personalised care planning aims to improve outcomes through better self-management, care coordination and access to community resources.
METHODS METHODS
This feasibility cluster randomised controlled trial aims to recruit 400 participants from 11 general practice clusters across Bradford and Leeds in the north of England. Eligible patients will be aged over 65 with an electronic frailty index score of 0.21 (identified via their electronic health record), living in their own homes, without severe cognitive impairment and not in receipt of end of life care. After screening for eligible patients, a restricted 1:1 cluster-level randomisation will be used to allocate practices to the PROSPER intervention, which will be delivered over 12 weeks by a personal independence co-ordinator worker, or usual care. Following initial consent, participants will complete a baseline questionnaire in their own home including measures of health-related quality of life, activities of daily living, depression and health and social care resource use. Follow-up will be at six and 12 months. Feasibility outcomes relate to progression criteria based around recruitment, intervention delivery, retention and follow-up. An embedded process evaluation will contribute to iterative intervention optimisation and logic model development by examining staff training, intervention implementation and contextual factors influencing delivery and uptake of the intervention.
DISCUSSION CONCLUSIONS
Whilst personalised care planning can improve outcomes in long-term conditions, implementation in routine settings is poor. We will evaluate the feasibility of conducting a cluster randomised controlled trial of personalised care planning in a community population based on frailty status. Key objectives will be to test fidelity of trial design, gather data to refine sample size calculation for the planned definitive trial, optimise data collection processes and optimise the intervention including training and delivery.
TRIAL REGISTRATION BACKGROUND
ISRCTN12363970 - 08/11/18.

Identifiants

pubmed: 32355566
doi: 10.1186/s40814-020-00598-x
pii: 598
pmc: PMC7187486
doi:

Types de publication

Journal Article

Langues

eng

Pagination

56

Subventions

Organisme : Department of Health
ID : RP-PG-0216-20003
Pays : United Kingdom

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsThere are no financial or other competing interests for principal investigators for the overall trial and each study site.

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Auteurs

Anne Heaven (A)

1Academic Unit for Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ UK.

Peter Bower (P)

2NIHR Older People and Frailty Policy Research Unit, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PL UK.

Bonnie Cundill (B)

3Leeds Institute of Clinical Trials Research (LICTR), Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9JT UK.

Amanda Farrin (A)

3Leeds Institute of Clinical Trials Research (LICTR), Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9JT UK.

Marilyn Foster (M)

1Academic Unit for Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ UK.

Robbie Foy (R)

4Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, LS2 9JT UK.

Suzanne Hartley (S)

3Leeds Institute of Clinical Trials Research (LICTR), Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9JT UK.

Rebecca Hawkins (R)

1Academic Unit for Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ UK.

Claire Hulme (C)

5Health Economics Group, Institute of Health Research, University of Exeter, Exeter, LU EX1 2 UK.

Sara Humphrey (S)

Speciality Clinical Lead Older People Bradford District & Craven CCGs Scorex House West, 1 Bolton Rd, Bradford, BD1 4AS UK.

Rebecca Lawton (R)

7School of Psychology, University of Leeds, Leeds, LS2 9JT UK.

Catriona Parker (C)

3Leeds Institute of Clinical Trials Research (LICTR), Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9JT UK.

Neil Pendleton (N)

8University of Manchester, Salford Royal Hospitals NHS Trust, Stott Lane, Salford, Greater Manchester M6 8HD UK.

Robert West (R)

4Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, LS2 9JT UK.

John Young (J)

1Academic Unit for Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ UK.

Andrew Clegg (A)

1Academic Unit for Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ UK.

Classifications MeSH