ReviewJAMIA open2026
A tailored maturity model for REDCap-based patient-facing technology: revealing development stages and guiding future evolution.
Review in JAMIA open, 2026. 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
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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
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This integrative review aims to analyze the REDCap-based patient-facing technologies (PFTs) and propose a tailored maturity model to characterize their development stages, challenges, and future evolution toward intelligent, proactive care. Materials and Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a focused search of PubMed, Web of Science, and Embase identified relevant studies. Data were analyzed using aggregate and thematic synthesis. Combining literature evidence with pilot case insights, a tailored maturity model was developed to define the distinct stages of REDCap-based PFT development. Results: The proposed model progresses from Data Collection (Tier 1) and System Integration (Tier 2) to Personalized Insights (Tier 3), culminating in a conceptual Intelligence Hub (Tier 4). Analysis of 14 studies (2016-2026) reveals a rapidly evolving field, with a surge in publications since 2021 ( Conclusion: These findings underscore the promise of REDCap-based PFTs but reveal a critical gap between current capabilities and the advanced Intelligence Hub envisioned in the maturity model. Applying the tailored maturity model highlights priorities for advancing research, including rigorous, longitudinal evaluations and strategies to achieve higher levels of integration and optimization.
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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.