ArticleJournal of clinical and translational science2024
Embedding clinical trial elements into clinical practice: Experiences from trial designers and implementers.
Article in Journal of clinical and translational science, 2024. 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.
- Leveraging the PEDSnet clinical research network and electronic health record data to enhance efficiency of trial enrollment for a rare pediatric rheumatic disease.Pediatric rheumatology online journal · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Researchers and policymakers recognize that leveraging data routinely collected in clinical practice can support improved research and patient care. Embedding elements of clinical trials, such as patient identification and trial data acquisition, into clinical practice can enable research access and increase efficiencies by reducing duplication of trial and care activities. Yet, cultural, administrative, and data barriers exist. The Clinical Trials Transformation Initiative (CTTI) developed evidenced-based, multi-partner recommendations to facilitate embedding interventional, randomized trials into clinical practice. Methods: We conducted in-depth interviews (IDIs) with trial designers and implementers to describe their motivations for embedding interventional, randomized trials into clinical practice. Additionally, we aimed to identify barriers and potential solutions to implementing such trials. Interviews were audio-recorded and analyzed using applied thematic analysis. Results: We conducted 16 IDIs with 18 trial designers and implementers. Motivations for embedding trials into clinical practice included the desire to implement a learning health system and evaluate trials in real-world settings. Barriers to trial implementation focused on limited staff time and availability, the lack of buy-in, and difficulties using electronic health record data. Solutions included minimizing healthcare settings and patient burden, having a sufficient data and research infrastructure in place, and creating a culture change. Conclusion: The results informed CTTI recommendations to facilitate the design and operation of embedded trials. These recommendations emphasize areas where sponsors and investigators can rethink the design and conduct of clinical trials to ultimately realize an aligned system of research and care.
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.