Evidence map›Paper›PMID 40288472›Full record

ArticleJournal of the American College of Radiology : JACR2025

Sustainability of Rideshare Programs to Promote Engagement of Underrepresented Populations in Breast Cancer Screening Trials.

Bhavika K Patel, Jhenitza P Raygoza, Heidi E Kosiorek, Carmen C Soto, Diana Y Grijalva, Etta Pisano, Donald Northfelt, Suganya Karuppana, Jessica D Austin

Abstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bhavika K PatelProfessor of Radiology, Department of Diagnostic Radiology, Mayo Clinic, Phoenix, Arizona; Data Science Cochair for ACR Breast Imaging and ACR Breast Imaging Research Registry. Electronic address: Patel.Bhavika@mayo.edu.
Jhenitza P RaygozaProgram Coordinator, Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Scottsdale, Arizona.
Heidi E KosiorekAssistant Professor of Biostatistics, Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Scottsdale, Arizona.
Carmen C SotoClinical Research Coordinator, Mayo Clinic Comprehensive Cancer Center, Cancer Clinical Research Office, Phoenix, Arizona.
Diana Y GrijalvaClinical Research Coordinator, Mayo Clinic Comprehensive Cancer Center, Cancer Clinical Research Office, Phoenix, Arizona.
Etta PisanoSenior Director for Research Development, Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania.
Donald NorthfeltProfessor of Medicine, Division of Hematology/Oncology, Mayo Clinic, Phoenix, Arizona.
Suganya KaruppanaAssociate Chief Medical Officer, Adelante Healthcare, Phoenix, Arizona.
Jessica D AustinAssistant Professor of Epidemiology, Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Scottsdale, Arizona.

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083NCI NIH HHS UG1 CA189828
6 · The paper itself

Abstract

backgroundTransportation barriers significantly limit participation in breast cancer screening trials among Hispanic women, exacerbating disparities in breast cancer outcomes and underrepresentation in clinical research. Rideshare programs have emerged as a potential solution, but their long-term sustainability remains underexplored. Understanding sustainability capacity is critical to ensuring these programs can address structural barriers, promote health equity, and improve outcomes for underserved populations. The aim of this study is to evaluate sustainability capacity of a no-cost rideshare program and to identify potential strategies to support sustainability.

methodsThis explanatory, sequential, mixed-methods study evaluated the sustainability capacity of a no-cost rideshare program aimed at increasing Hispanic women's participation in the Tomosynthesis Mammographic Imaging Screening Trial. Analyses and data integration were guided by the Capacity for Sustainability Framework. Average domain scores on the Program Sustainability Assessment Tool survey were calculated ranging from 1 to 7, with higher scores indicating higher levels for each domain, and structured interviews were analyzed using a rapid qualitative approach. Program Sustainability Assessment Tool and interview findings were integrated using a joint display.

resultsSurvey responses (n = 37) indicated strengths in environmental support (mean score: 5.4) and partnerships (6.0), but challenges in funding stability (4.2) and strategic planning (4.5). Interview findings emphasized the importance of program champions and collaborative partnerships and highlighted gaps in securing diverse funding sources and engaging institutional leadership in strategic planning. Participants identified opportunities to strengthen communication, evaluate program impact, and adapt processes to meet evolving needs. DISCUSSION: Strong partnerships and champions supported the program's initial success, but funding instability and insufficient strategic planning threaten sustainability. Future efforts should prioritize securing diverse funding, engaging leadership, and fostering collaboration to scale rideshare programs, thereby reducing disparities and advancing equity in breast cancer screening and research participation.

Indexed as

Breast NeoplasmsEarly Detection of CancerHispanic or LatinoMammographyPatient ParticipationFemaleHumansMiddle AgedProgram EvaluationBreast cancer screeninghealth disparitiesrideshare programsustainability

Identifiers

PMID40288472
PMCPMC12724585

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Registered trials

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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.