Evidence map›Paper›PMID 42247228›Full record

ArticleJAMA network open2026

A Multiregional Decentralized Clinical Trial Program to Improve Access.

Tufia C Haddad, Lydia A Mercado, Jennifer G Le-Rademacher, David A Enarson, Ugur Sener, Amanika Kumar, Katharine A Price, Young J Juhn, Rodrigo Cartin-Ceba, Gerardo Colon-Otero and 3 more

Abstract read
In one paragraph

Article in JAMA network 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

13 authors.

Tufia C HaddadDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Lydia A MercadoDepartment of Transplant, Mayo Clinic Florida, Jacksonville, Florida.
Jennifer G Le-RademacherDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
David A EnarsonMayo Clinic Research Administration, Mayo Clinic, Rochester, Minnesota.
Ugur SenerDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Amanika KumarDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota.
Katharine A PriceDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Young J JuhnDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota.
Rodrigo Cartin-CebaDepartment of Medicine, Mayo Clinic, Phoenix, Arizona.
Gerardo Colon-OteroDepartment of Medicine, Mayo Clinic, Jacksonville, Florida.
Cheryl L WillmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Vesna D GarovicDepartment of Medicine, Mayo Clinic, Rochester, Minnesota.
Rebecca S KottschadeMayo Clinic Research Administration, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Decentralized clinical trials (DCTs) aim to increase trial access for underrepresented populations (URP) and ensure study outcomes, conclusions, and policy-related decisions are applicable to diverse populations. Objective: To assess trends in the percentage of accrued participants from more than 120 miles from the research site upon DCT program implementation. Design, Setting, and Participants: This descriptive quality improvement study was conducted from January 2024 to March 2025 at Mayo Clinic, a US multiregional, academic medical center (AMC) comprising 3 sites and an affiliated, community-based health care system. All individuals who consented and/or accrued to an institutional review board-approved clinical trial were included. Exposure: DCTs are defined as trials with at least 1 decentralized capability beyond remote consent. DCT program development began July 2022. By January 2024, remote consent, video telehealth visits, remote phlebotomy, and device services were implemented across all sites and departments. Remote monitoring and oral medication delivery were available on a limited basis. Prospective automated program and DCT participant data collection and quarterly reporting began in January 2024. Main Outcomes and Measures: Percentage of all DCT accrued participants with a residential zip code more than 120 miles from 1 of 3 AMC sites. Results: There were 7469 participants (median [IQR] age, 62 [51-70] years; 3594 [48.1%] female; 241 [3.2%] Asian, 391 [5.2%] Black or African American, and 6347 [85.0%] White individuals) accrued to 765 DCTs. During the study period, the percentage of DCT participants residing more than 120 miles from an AMC site ranged from 18.9% in the first quarter (Q1) of 2024 (383 of 2032 participants) to 29.6% in Q1 of 2025 (346 of 1170 participants). Of those accrued, 1147 (15.4%) were of a racial or ethnic URP, ranging from 12.5% in Q1 of 2024 (253 participants) to 17.4% in Q1 of 2025 (204 participants). There were 1554 (20.8%) participants from a rural location, ranging from 16.6% in Q1 of 2024 (338 participants) to 24.9% in Q1 of 2025 (291 participants). Additionally, by geospatial distance from an AMC site, the male-to-female ratio was nearly 50:50, and the age distribution appeared similar. Conclusions and Relevance: In this quality improvement study of a DCT program implementation, DCT accruals trended favorably among those residing more than 120 miles from an AMC site and those of rural or URP populations. While these findings cannot be directly attributed to program implementation, they are reassuring that this strategy may address some barriers to clinical trial access. Future studies should assess the sustained effectiveness and scalability of DCT models in improving equitable trial access.

Indexed as

Clinical Trials as TopicHealth Services AccessibilityPatient SelectionFemaleHumansMaleQuality Improvement

Identifiers

PMID42247228
PMCPMC13241948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.