Evidence map›Paper›PMID 39360240›Full record

ArticleDigital health

Sociodemographic predictors of successful screening and subsequent randomization in a digital health hypertension intervention.

Hailey N Miller, Sandy Askew, Miriam B Berger, Elizabeth Trefney, Loneke T Blackman Carr, Melissa C Kay, Cherie Barnes, Qing Yang, Crystal C Tyson, Laura Svetkey and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. 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. Trial
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.

Hailey N MillerSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Sandy AskewDuke Digital Health Science Center, Duke University, Durham, NC, USA.
Miriam B BergerDuke Digital Health Science Center, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0001-7236-8734
Elizabeth TrefneyDuke Digital Health Science Center, Duke University, Durham, NC, USA.
Loneke T Blackman CarrDepartment of Nutritional Sciences, University of Connecticut, Storrs, CT, USA.
Melissa C KaySchool of Medicine, Duke University, Durham, NC, USA.
Cherie BarnesSchool of Nursing, Duke University, Durham, NC, USA.
Qing YangSchool of Nursing, Duke University, Durham, NC, USA.
Crystal C TysonSchool of Medicine, Duke University, Durham, NC, USA.
Laura SvetkeySchool of Medicine, Duke University, Durham, NC, USA.
Ryan J ShawSchool of Nursing, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0001-6800-6503
Dori M SteinbergEquip Health Inc., Carlsbad, CA, USA.
Gary G BennettDuke Digital Health Science Center, Duke University, Durham, NC, USA.

Funding

NCATS NIH HHS KL2 TR002554NHLBI NIH HHS K01 HL143116NHLBI NIH HHS R01 HL146768
6 · The paper itself

Abstract

Introduction: Clinical trials often enroll nonrepresentative participant samples, limiting generalizability of trial findings. The current analysis explores the influences of remote recruitment and screening protocols on participation in a digital health intervention (DHI) to promote the evidence-based Dietary Approaches to Stop Hypertension (DASH) eating pattern. Methods: Nourish was a 12-month randomized controlled trial comparing the effectiveness of a DHI to an attention control arm among US adults with hypertension. Participants were recruited using digital approaches; eligible individuals completed several screening steps. We examined associations between sociodemographics and mobile technology use and completion of each screening step and compared those characteristics between randomized and nonrandomized participants (those consented but were screened out before randomization). Results: A total of 678 adults consented to participate in Nourish; 44% of those consented were randomized ( Conclusions: Participants with lower education levels or limited experience in using mobile technologies may require additional support to participate in DHIs. Future research is needed to evaluate remote clinical trial procedures and impacts on generalizability to achieve equitable clinical trial participation.

Indexed as

cardiovasculardiversityHypertensionlifestylerecruitmentremote clinical trials

Identifiers

PMID39360240
PMCPMC11445772

What Socratic 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 Socratic graph.