ArticleSystematic reviews2025
From theory to practice in training health researchers in patient and public involvement: a scoping review protocol.
Article in Systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Supporting researchers to involve patient partners in health service research: developing and assessing the feasibility and acceptability of a co-produced training programme for researchers.Research involvement and engagement · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient and public involvement (PPI) aims to increase the relevance and impact of research by ensuring that outcomes align with the real needs of those involved. In PPI, the public actively participates in all stages of research, which has been shown to improve research quality, empower participants, and enrich researchers' understanding of patients' and the public's lived experiences. However, implementing PPI poses a challenge for many researchers, making training essential as it provides the necessary skills to incorporate PPI meaningfully into their projects. Thus, this review aims to map existing PPI training programs in health research, identifying effective strategies that can be replicated, thereby contributing to the improvement of health research practices.
methodsThe scoping review will adhere to Arksey and O'Malley's six-step framework and the PRISMA Extension for Scoping Reviews (PRISMA-ScR) checklist, with results reported following the GRIPP2-Short Form. This review will follow the JBI guidelines for scoping reviews. A PPI group will be established to contribute to the interpretation and discussion of findings and will also be recognized as co-authors of the article. Searches will be conducted in MEDLINE (Ovid), Embase (Elsevier), EBM Reviews, CINAHL (EBSCO), Scopus, ERIC (EBSCO/ProQuest), Web of Science Core, HealthSTAR (Ovid), and Academic Search Complete. Gray literature searches will be conducted in ASSIA (ProQuest) and Google Scholar. The review will include full-text articles published with no language restrictions, focusing on PPI training programs for health researchers, with no publication date restrictions. Two independent reviewers will screen studies by title and abstract, followed by full-text review. DISCUSSION: The study aims to identify and systematize the approaches used in PPI training programs, providing a foundation to guide researchers in effective PPI implementation. This review may encourage health researchers to integrate PPI as an essential component throughout the research cycle, aligning studies more closely with patients' needs and experiences. Such alignment has the potential to directly inform public health policies, benefiting the target population. SYSTEMATIC REVIEW REGISTRATION: 10.17605/OSF.IO/WBDPE.
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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.