ArticleEthnicity & disease2022
Advancing the Science of Implementation for Resource-Limited Settings through Bidirectional Learning Around Cervical Cancer Screening.
Article in Ethnicity & disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 7 citations in OpenAlex.
- Trial
- Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.PloS one · 2025Article
- Health dashboard for information management in cervical cancer screening.Revista latino-americana de enfermagem · 2025Article
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 at 4 institutions in 2 countries.
Funding
Abstract
In 2020, the highest rates of cervical cancer incidence and mortality were reported in Asian and African regions of the world. Across the globe, growing evidence confirms cancer disparities among racial and ethnic minorities, low socioeconomic status groups, sexual and gender minorities, uninsured individuals, and rural residents. Recognition of these stark disparities has led to increased global efforts for improving screening rates overall and, in medically underserved populations, highlighting the urgent need for research to inform the successful implementation of cervical cancer screening. Implementation science, defined as the study of methods to promote the integration of research evidence into health care practice, is well-suited to address this challenge. With a multilevel, implementation focus, we present key research directions that can help address cancer disparities in resource-limited settings. First, we describe several global feasibility studies that acknowledge the effectiveness of self-sampling as a strategy to improve screening coverage. Second, we highlight Project ECHO as a strategy to improve providers' knowledge through an extended virtual learning community, thereby building capacity for health care settings to deliver screening. Third, we consider community health workers, who are a cornerstone of implementing public health interventions in global communities. Finally, we see tremendous learning opportunities that use contextually relevant strategies to advance the science of community engagement and adaptations that could further enhance the uptake of screening in resource-limited settings. These opportunities provide future directions for bidirectional exchange of knowledge between local and global resource-limited settings to advance implementation science and address disparities.
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.