ArticleBMJ open quality2023
Improving personalised care, through the development of a service evaluation tool to assess, understand and monitor delivery.
Article in BMJ open quality, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
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- Plantar Heel Pain Management: A Survey of UK Registered Healthcare Professionals.Journal of foot and ankle research · 2025Article
- What does collaborative healthcare for people with musculoskeletal-related conditions look like? A scoping review.BMC musculoskeletal disorders · 2025Article
- Bridging the gap: empowering physiotherapy students to cultivate patient engagement.BMC medical education · 2025Article
- A Patient Charter to Improve Care for Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2025Review
- Personalised care, youth mental health, and digital technology: A value sensitive design perspective and framework.Ethics and information technology · 2025Article
- A Qualitative Exploration of the Role of Culturally Relevant Social Prescribing in Supporting Pakistani Carers Living in the UK.Health expectations : an international journal of public participation in health care and health policy · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.