ArticleImplementation science : IS2010
A realistic evaluation: the case of protocol-based care.
Article in Implementation science : IS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
61 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Psychoeducation Intervention Effectiveness to Improve Social Skills in Young People with ADHD: A Meta-Analysis.Journal of attention disorders · 2022Pooled it
- Multidisciplinary care for opioid dose reduction in patients with chronic non-cancer pain: A systematic realist review.PloS one · 2020Pooled it
- A realist process evaluation within the Facilitating Implementation of Research Evidence (FIRE) cluster randomised controlled international trial: an exemplar.Implementation science : IS · 2018Trial
- Protocol for process evaluation of a randomised controlled trial of family-led rehabilitation post stroke (ATTEND) in India.BMJ open · 2016Trial
- Accessibility and implementation in UK services of an effective depression relapse prevention programme - mindfulness-based cognitive therapy (MBCT): ASPIRE study protocol.Implementation science : IS · 2014Trial
- Integration of robotic surgery into routine practice and impacts on communication, collaboration, and decision making: a realist process evaluation protocol.Implementation science : IS · 2014Trial
- A pragmatic cluster randomised trial evaluating three implementation interventions.Implementation science : IS · 2012Trial
- FIRE (Facilitating Implementation of Research Evidence): a study protocol.Implementation science : IS · 2012Trial
- Extending the reach of palliative care-a double-edged sword: a qualitative study of clinicians' experiences of delivering telehealth in Australia and Aotearoa New Zealand.BMC palliative care · 2025Article
- What Enables Implementation of Pain Management Interventions in Intensive Care Units and Why: A Realist Evaluation to Refine Program Theory.Journal of advanced nursing · 2025Article
- System-failing creativity in health care.Learning health systems · 2025Article
- A bottom-up framework for nurses' protocol-based care decision-making.Nursing open · 2024Article
- Article
- Acceptability and feasibility of a screening protocol for antenatal depression (SPADe) in Blantyre District, Malawi.BMC psychiatry · 2022Article
- Exercise Interventions for Women with Ovarian Cancer: A Realist Review.Healthcare (Basel, Switzerland) · 2022Review
- Developing New Methods for Person-Centred Approaches to Adjudicate Context-Mechanism-Outcome Configurations in Realist Evaluation.International journal of environmental research and public health · 2022Article
- Article
- Realist evaluation of Schwartz rounds® for enhancing the delivery of compassionate healthcare: understanding how they work, for whom, and in what contexts.BMC health services research · 2021Article
- Article
- Understanding the impact of a residential housing programme for people living with HIV/AIDS: a realist evaluation protocol.BMJ open · 2021Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background'Protocol based care' was envisioned by policy makers as a mechanism for delivering on the service improvement agenda in England. Realistic evaluation is an increasingly popular approach, but few published examples exist, particularly in implementation research. To fill this gap, within this paper we describe the application of a realistic evaluation approach to the study of protocol-based care, whilst sharing findings of relevance about standardising care through the use of protocols, guidelines, and pathways.
methodsSituated between positivism and relativism, realistic evaluation is concerned with the identification of underlying causal mechanisms, how they work, and under what conditions. Fundamentally it focuses attention on finding out what works, for whom, how, and in what circumstances.
resultsIn this research, we were interested in understanding the relationships between the type and nature of particular approaches to protocol-based care (mechanisms), within different clinical settings (context), and what impacts this resulted in (outcomes). An evidence review using the principles of realist synthesis resulted in a number of propositions, i.e., context, mechanism, and outcome threads (CMOs). These propositions were then 'tested' through multiple case studies, using multiple methods including non-participant observation, interviews, and document analysis through an iterative analysis process. The initial propositions (conjectured CMOs) only partially corresponded to the findings that emerged during analysis. From the iterative analysis process of scrutinising mechanisms, context, and outcomes we were able to draw out some theoretically generalisable features about what works, for whom, how, and what circumstances in relation to the use of standardised care approaches (refined CMOs).
conclusionsAs one of the first studies to apply realistic evaluation in implementation research, it was a good fit, particularly given the growing emphasis on understanding how context influences evidence-based practice. The strengths and limitations of the approach are considered, including how to operationalise it and some of the challenges. This approach provided a useful interpretive framework with which to make sense of the multiple factors that were simultaneously at play and being observed through various data sources, and for developing explanatory theory about using standardised care approaches in practice.
Identifiers
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.