ReviewJournal of clinical and translational science2022
Integrating special and underserved populations in translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award (CTSA) program hubs.
Review in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Operational strategies among infectious disease clinical trial sites during pandemics: a scoping review.Trials · 2026Article
- Building trust in rural communities: recruitment and retention strategies in developmental science.Frontiers in public health · 2025Article
- The role of information science within the clinical translational science ecosystem.Journal of clinical and translational science · 2025Review
- A landscape assessment of CTSA evaluators and their work in the CTSA consortium, 2021 survey findings.Journal of clinical and translational science · 2024Article
- Enablers and barriers to engaging under-served groups in research: Survey of the United Kingdom research professional's views.NIHR open research · 2023Article
- Adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs: Overview of an environmental scan.Journal of clinical and translational science · 2023Review
- Improving quality and efficiency of translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.Journal of clinical and translational science · 2023Review
- Engaging community in the translational process: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.Journal of clinical and translational science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The COVID-19 pandemic has exacerbated health disparities and rendered them acutely more visible. Special and underrepresented populations need to be fully integrated into the translational research process from the very beginning and all the way through. This article presents findings and rapid analysis mini-case studies from the Environmental Scan (E-Scan) of adaptive capacity and preparedness of Clinical and Translational Science Award hubs, specific to the goal of integrating special and vulnerable populations in different institutional research settings. In our discussion of the findings and case studies, we flexibly apply local adaptive capacity framework concepts and characteristics, and, whenever possible, we present ideas on how to enhance capacity in those areas, based on the challenges and practices identified through the E-Scan. Although the past year has recorded incredible achievements in vaccine development, clinical trials, diagnostics, and overall biomedical research, these successes continue to be hampered by our inability to turn them into achievements equally available and accessible to all populations.
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.