Evidence map›Paper›PMID 39345703›Full record

ArticleJournal of clinical and translational science2024

Leveraging oncology collaborative networks and biomedical informatics data resources to rapidly recruit and enroll rural residents into oncology quality of life clinical trials.

Heath A Davis, Asher A Hoberg, Laura S Jacobus, Kenneth Nepple, Aaron T Seaman, Jamie Sorensen, George J Weiner, Stephanie Gilbertson-White

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Heath A DavisInstitute for Clinical & Translational Science, University of Iowa, Iowa City, IA, USA.
Asher A HobergInstitute for Clinical & Translational Science, University of Iowa, Iowa City, IA, USA.
Laura S JacobusInstitute for Clinical & Translational Science, University of Iowa, Iowa City, IA, USA.
Kenneth NeppleUrology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Aaron T SeamanInternal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Jamie SorensenEpidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
George J WeinerInternal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Stephanie Gilbertson-WhiteInternal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-9718-3717

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
University of Iowa Institute for Clinical and Translational ScienceUM1TR004403 · NCATS · UNIVERSITY OF IOWA · PI Marlan R Hansen, Patricia Winokur · 2023 to 2026
$16.1M
Exploratory Center of Excellence for Advancing Multimorbidity Science (CAMS)P20NR018081 · NINR · UNIVERSITY OF IOWA · PI WILLIAMS, JANET K. · 2018 to 2022
$2.2M
NCATS NIH HHS UM1 TR004403NCI NIH HHS P30 CA086862NIEHS NIH HHS P30 ES005605NINR NIH HHS P20 NR018081
6 · The paper itself

Abstract

Purpose: This study assesses the feasibility of biomedical informatics resources for efficient recruitment of rural residents with cancer to a clinical trial of a quality-of-life (QOL) mobile app. These resources have the potential to reduce costly, time-consuming, in-person recruitment methods. Methods: A cohort was identified from the electronic health record data repository and cross-referenced with patients who consented to additional research contact. Rural-urban commuting area codes were computed to identify rurality. Potential participants were emailed study details, screening questions, and an e-consent link via REDCap. Consented individuals received baseline questionnaires automatically. A sample minimum of Results: Conclusion: These results demonstrate that biomedical informatics resources can be highly effective in recruiting for cancer QOL research. Precisely identifying individuals likely to meet inclusion criteria who previously indicated interest in research participation expedited recruitment. Participants completed the consent and baseline questionnaires with zero follow-up contacts from the research team. This low-touch, repeatable process may be highly effective for multisite clinical trials research seeking to include rural residents.

Indexed as

Cancerinformatics toolsrural healthsubject recruitmentsupportive oncology

Identifiers

PMID39345703
PMCPMC11428118

What OpenQuestion holds

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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.