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dc.contributor.authorHeaven, A
dc.contributor.authorBower, P
dc.contributor.authorCundill, B
dc.contributor.authorFarrin, A
dc.contributor.authorFoster, M
dc.contributor.authorFoy, R
dc.contributor.authorHartley, S
dc.contributor.authorHawkins, R
dc.contributor.authorHulme, C
dc.contributor.authorHumphrey, S
dc.contributor.authorLawton, R
dc.contributor.authorParker, C
dc.contributor.authorPendleton, N
dc.contributor.authorWest, R
dc.contributor.authorYoung, J
dc.contributor.authorClegg, A
dc.date.accessioned2020-05-14T13:12:38Z
dc.date.issued2020-04-28
dc.description.abstractBackground 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 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 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.en_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.identifier.citationVol. 6, article 56en_GB
dc.identifier.doi10.1186/s40814-020-00598-x
dc.identifier.grantnumberRP-PG-0216-20003en_GB
dc.identifier.urihttp://hdl.handle.net/10871/121045
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rights© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_GB
dc.subjectPersonalised care planningen_GB
dc.subjectQuality of lifeen_GB
dc.subjectOlder peopleen_GB
dc.subjectFrailtyen_GB
dc.subjecteFIen_GB
dc.subjectClusteren_GB
dc.subjectRCTen_GB
dc.titleStudy protocol for a cluster randomised controlled feasibility trial evaluating personalised care planning for older people with frailty: PROSPER V2 27/11/18en_GB
dc.typeArticleen_GB
dc.date.available2020-05-14T13:12:38Z
exeter.article-number56en_GB
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials: Any data sharing requests should be sent to the corresponding author and would be subject to review and approval by the TSC and require data sharing agreements.en_GB
dc.identifier.eissn2055-5784
dc.identifier.journalPilot and Feasibility Studiesen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-04-07
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-04-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-05-14T13:10:56Z
refterms.versionFCDVoR
refterms.dateFOA2020-05-14T13:12:49Z
refterms.panelAen_GB


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© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License,
which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if
changes were made. The images or other third party material in this article are included in the article's Creative Commons
licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons
licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the
data made available in this article, unless otherwise stated in a credit line to the data.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.