Evidence map›Paper›PMID 39396769›Full record

ArticleContemporary clinical trials2024

Addressing rural health disparities by optimizing "high-touch" intervention components in digital obesity treatment: The iREACH Rural study.

Rebecca A Krukowski, Kelsey R Day, Wen You, Christine A Pellegrini, Delia S West

Abstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Rebecca A KrukowskiDepartment of Public Health Sciences, School of Medicine, University of Virginia, USA. Electronic address: bkrukowski@virginia.edu.
Kelsey R DayDepartment of Public Health Sciences, School of Medicine, University of Virginia, USA.
Wen YouDepartment of Public Health Sciences, School of Medicine, University of Virginia, USA.
Christine A PellegriniDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, USA.
Delia S WestDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, USA.

Funding

Addressing Rural Health Disparities by Optimizing "High Touch" Intervention Components in Digital Obesity TreatmentR01DK135227 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Rebecca A. Krukowski, DELIA SMITH WEST · 2023 to 2026
$2.6M
NIDDK NIH HHS R01 DK135227
6 · The paper itself

Abstract

backgroundRural residents are more impacted by obesity and related comorbidities than their urban counterparts. Digital weight management interventions may produce meaningful weight loss among rural residents.

objectivesThe iREACH Rural Study aims to identify "high-touch" component(s) that contribute to meaningful weight loss (≥1.5 kg) at 6-months, over and above what the 24-week core online program produces. Three treatment components are assessed: group video sessions (yes/no); self-monitoring feedback (counselor-crafted/pre-scripted, modular); and individual coaching calls (yes/no).

designThe iREACH Rural Study is a factorial experiment (n = 616).

methodsParticipants receive up to 3 "high-touch" components (weekly synchronous facilitated group video sessions, weekly counselor-crafted self-monitoring feedback, and individual coaching calls) to determine which contribute meaningfully to 6-month weight loss. Participants complete assessments at baseline, 2 months, 6 months, and 12 months. Weight loss at 6 months (primary outcome) and 12 months (secondary outcome) is measured by Bluetooth-enabled scales. The study seeks to identify the weight loss approach for underserved rural residents which optimizes weight change outcomes and also examines costs associated with delivering different treatment constellations. SUMMARY: The iREACH Rural Study is the first of its kind to isolate digital weight loss intervention components to determine which meaningfully contribute to long-term weight loss among rural residing individuals. The results may be used to refine digital weight loss programs by enhancing their effectiveness to allow broad dissemination.

Indexed as

ObesityRural PopulationWeight LossWeight Reduction ProgramsAdultCounselingFemaleHumansMaleMentoringMiddle AgedRural HealthTelemedicineDigital weight lossMhealthObesity treatmentRural healthWeight management

Identifiers

PMID39396769
PMCPMC11620936

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.