Johnson, Louise, Kirk, Hayden, Clark, Beth, Royse, Carolyn, Heath, Stephanie, Adams, Carl and Portillo Vega, Maria Carmen (2023) Improving personalised care, through the development of a service evaluation tool to assess, understand, and monitor delivery. BMJ Open Quality, 12 (3), [e002324]. (doi:10.1136/bmjoq-2023-002324).
Abstract
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.
More information
Identifiers
Catalogue record
Export record
Altmetrics
Contributors
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.