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Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery
Systematically implementing personalised care has far reaching benefits to individuals, communities and health and social care systems. If done well, personalised care can result in better health outcomes and experiences, more efficient use of health services and reduced health inequalities. Despite...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481846/ https://www.ncbi.nlm.nih.gov/pubmed/37669810 http://dx.doi.org/10.1136/bmjoq-2023-002324 |
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author | Johnson, Louise Kirk, Hayden Clark, Beth Heath, Stephanie Royse, Carolyn Adams, Carl Portillo, Mari Carmen |
author_facet | Johnson, Louise Kirk, Hayden Clark, Beth Heath, Stephanie Royse, Carolyn Adams, Carl Portillo, Mari Carmen |
author_sort | Johnson, Louise |
collection | PubMed |
description | Systematically implementing personalised care has far reaching benefits to individuals, communities and health and social care systems. If done well, personalised care can result in better health outcomes and experiences, more efficient use of health services and reduced health inequalities. Despite these known benefits, implementation of personalised care has been slow. Evaluation is an important step towards achieving the ambition of universally delivered personalised care. There are currently few comprehensive assessments or tools that are designed to understand the implementation of personalised care at a service or system level, or the cultural, practical and behavioural factors influencing this. The aim of this paper is to describe the development and testing of a system-wide evaluation tool. The tool offers a process through which healthcare systems can better understand the current delivery of personalised care and the factors influencing this. With a focus on implementation, the development of the tool was informed by the Consolidated Framework for Implementation Research, and its content is structured using behaviour change theory (COM-B Theory of Behaviour Change Model). The tool consists of four mirrored surveys, which were developed using an iterative exploratory design. This included a series of testing cycles, in which its structure and content were continually refined. To date, it has been used by 24 clinical services, involving 397 service users, 313 front-line practitioners, 73 service managers and 40 commissioners. These services have used the evaluation process to initiate quality improvement, targeted at one of the more aspects of personalised care. The use of the COM-B model increases the likelihood of those improvements being sustained, through identification of the core factors that enable or limit personalised care behaviours among healthcare staff. We have shown this process to be applicable in a wide range of settings, thus it potentially has broad applicability as a tool for cultural change and quality improvement. The next stage of this work will focus on implementation and evaluation, to fully understand if and how the tool can be used to drive improvements in personalised care delivery. |
format | Online Article Text |
id | pubmed-10481846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-104818462023-09-07 Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery Johnson, Louise Kirk, Hayden Clark, Beth Heath, Stephanie Royse, Carolyn Adams, Carl Portillo, Mari Carmen BMJ Open Qual Quality Improvement Report Systematically implementing personalised care has far reaching benefits to individuals, communities and health and social care systems. If done well, personalised care can result in better health outcomes and experiences, more efficient use of health services and reduced health inequalities. Despite these known benefits, implementation of personalised care has been slow. Evaluation is an important step towards achieving the ambition of universally delivered personalised care. There are currently few comprehensive assessments or tools that are designed to understand the implementation of personalised care at a service or system level, or the cultural, practical and behavioural factors influencing this. The aim of this paper is to describe the development and testing of a system-wide evaluation tool. The tool offers a process through which healthcare systems can better understand the current delivery of personalised care and the factors influencing this. With a focus on implementation, the development of the tool was informed by the Consolidated Framework for Implementation Research, and its content is structured using behaviour change theory (COM-B Theory of Behaviour Change Model). The tool consists of four mirrored surveys, which were developed using an iterative exploratory design. This included a series of testing cycles, in which its structure and content were continually refined. To date, it has been used by 24 clinical services, involving 397 service users, 313 front-line practitioners, 73 service managers and 40 commissioners. These services have used the evaluation process to initiate quality improvement, targeted at one of the more aspects of personalised care. The use of the COM-B model increases the likelihood of those improvements being sustained, through identification of the core factors that enable or limit personalised care behaviours among healthcare staff. We have shown this process to be applicable in a wide range of settings, thus it potentially has broad applicability as a tool for cultural change and quality improvement. The next stage of this work will focus on implementation and evaluation, to fully understand if and how the tool can be used to drive improvements in personalised care delivery. BMJ Publishing Group 2023-09-05 /pmc/articles/PMC10481846/ /pubmed/37669810 http://dx.doi.org/10.1136/bmjoq-2023-002324 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Quality Improvement Report Johnson, Louise Kirk, Hayden Clark, Beth Heath, Stephanie Royse, Carolyn Adams, Carl Portillo, Mari Carmen Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title | Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title_full | Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title_fullStr | Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title_full_unstemmed | Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title_short | Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
title_sort | improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery |
topic | Quality Improvement Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481846/ https://www.ncbi.nlm.nih.gov/pubmed/37669810 http://dx.doi.org/10.1136/bmjoq-2023-002324 |
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