Evidence map›Paper›PMID 39156950›Full record

ArticlePreventive oncology & epidemiology2024

The Together for Health - Virginia Research Program: A Multi-Modal Approach for Population Health Assessment.

Bernard F Fuemmeler, Carrie A Miller, D Jeremy Barsell, Sepideh Shokouhi, Aisha Montgomery, David C Wheeler, Sunny Jung Kim, Bassam Dahman, Robert Winn

Abstract read
In one paragraph

Article in Preventive oncology & epidemiology, 2024. 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

9 authors.

Bernard F FuemmelerDepartment of Family Medicine & Population Health, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-3550-0107
Carrie A MillerDepartment of Family Medicine & Population Health, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-8136-7618
D Jeremy BarsellDepartment of Family Medicine & Population Health, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0003-4641-9176
Sepideh ShokouhiVibrent Health, Fairfax, VA.ORCID 0000-0001-6904-1861
Aisha MontgomeryVibrent Health, Fairfax, VA.ORCID 0000-0003-0175-3437
David C WheelerDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Sunny Jung KimMassey Comprehensive Cancer Center, Richmond, VA, USA.ORCID 0000-0002-6405-162X
Bassam DahmanDepartment of Healthcare Policy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-5423-6938
Robert WinnMassey Comprehensive Cancer Center, Richmond, VA, USA.ORCID 0000-0001-5948-9291

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
NCI NIH HHS P30 CA016059
6 · The paper itself

Abstract

Background: The Together for Health-Virginia (T4H-VA) Research Program aimed to advance cancer prevention, education, and outreach in Virginia. Creating a representative and inclusive cohort is critical to the program's mission and quality of outcomes. The T4H-VA Research Program utilized a multi-modal sampling approach to improve population health assessment. The current study describes the technology-based, non-probability platform developed for this purpose and compares differences between the probability-based (mail-based) and non-probability-based (e-cohort) methods with respect to participant demographics, health characteristics, and health information and technology use. Methods: T4H-VA is a research registry focusing on 54 counties within the Massey Comprehensive Cancer Center (MCCC) catchment area in Richmond, VA. Adult residents proficient in English were eligible. For the probability-based sampling, surveys were mailed to residents within the catchment area. For the non-probability sampling, an online study platform was developed and surveys were completed through the web/mobile app. Results: Both cohorts fell short of recruitment goals. The study yielded 1158 participants (M=57, SD=16 years; 55.0% female; 72.1% White); 899 (77.6%) were sampled through the probability, mail-based approach. Participants who identified as "other" race were significantly less likely to be sampled by the non-probability method. Significant differences emerged, including health protective (greater moderate and high physical activity) and risk factors (greater alcohol consumption and personal history of cancer) in the non-probability, e-cohort relative to the probability sample. E-Cohort participants were significantly more likely to report using electronic health records. Discussion: Overall difficulties in recruiting were caused, at least in part, by the onset of the COVID-19 pandemic and related factors. The e-cohort, which used exclusively digital recruitment strategies, fell significantly short of recruitment goals. This suggests in-person and mail-based strategies remain important for recruitment. Moreover, instead of favoring a singular approach, a combined approach to survey sampling may capitalize on the strengths of each sampling mode to increase diversity in sociodemographic and health risk characteristics.

Indexed as

digital technologyelectronic cohort (e-cohort)epidemiological research registrypopulation health assessmentsurvey samplingsurvey sampling modalities

Identifiers

PMID39156950
PMCPMC11326533

What OpenQuestion holds

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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.