ArticleLearning health systems2022
Development of a rehabilitation researcher survey of knowledge and interest in learning health systems research.
Article in Learning health systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Evaluating health organization readiness for implementing a learning health system: a scoping review.Health research policy and systems · 2025Article
- Rehabilitation Researchers Learning Health Systems Needs Assessment Survey: An Updated Assessment of Research Competencies.Archives of rehabilitation research and clinical translation · 2025Article
- Development of learning health system competency items related to health and healthcare equity and justice for rehabilitation researchers.Learning health systems · 2025Article
- Learning Health Systems Research Competencies: A Survey of the Rehabilitation Research Community.Physical therapy · 2023Article
- Development of a rehabilitation researcher survey of knowledge and interest in learning health systems research.Learning health systems · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Introduction: LeaRRn, an NIH-funded rehabilitation resource center, is dedicated to developing learning health systems (LHS) research competencies within the rehabilitation community. To appropriately target resources and training opportunities for rehabilitation researchers, we developed and pilot tested a survey based on AHRQ LHS research core competencies to assess the training needs of rehabilitation researchers interested in LHS research. Methods: Survey items were developed by the investigative team and iteratively refined with the assistance of an expert panel using two rounds of content validation. Survey items addressed knowledge of, ability to apply, and interest in LHS research competencies. The survey was pre-pilot tested with six rehabilitation professionals, refined again, and then pilot tested. Time to complete the survey was measured. Spearman correlations examined relationships between knowledge and ability. Results: A 78-item survey was pilot tested. Forty-five individuals completed the pilot survey in full (71% female, 84% white, and 93% non-Hispanic). Due to concerns about response burden (mean 15 minutes to complete) and strong correlation between "knowledge" and "ability" ratings (all rho >0.57), "ability" was dropped, resulting in a 55-item survey assessing "knowledge" and "interest" in LHS research competencies. Conclusions: We developed a survey of knowledge and interest in LHS research competencies for rehabilitation researchers. The resulting survey may be used to assess training needs and guide LHS research content development by educators, programs directors, and other initiatives within the rehabilitation research community.
Indexed as
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.