ArticleJAMIA open2025
Meeting clinical recruitment milestones in an academic center: a data-driven, visual approach.
Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Objectives: Describing the development of a visual dashboard leveraging available tools for efficient recruitment for patient centered clinical trials in resource constrained settings. Materials and Methods: A real-time, visual dashboard was developed, facilitating interactive visualizations, detailed analyses, and data quality control. Daily automated REDCap data retrieval occurred via an R program using REDCap API and output was integrated into Power BI. An interrupted time series analysis was conducted evaluating effects of dashboard on clinical trial recruitment metrics. Results: The visual dashboard displayed key recruitment metrics, including individual participant progression and recruitment trends over time. Interrupted time series analysis showed improvements in screening rates upon implementation. The mean time to study completion decreased by 19 days following implementation. Discussion: Customizable metrics offer comprehensive view of recruitment data and granularity, identifying actionable issues, enhancing study timeliness and completion. Conclusion: Clinical trials of all budgets can integrate dashboards for real-time monitoring and data driven improvements to promote more timely completion.
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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.