Evidence map›Paper›PMID 34352387›Full record

Trial reportContemporary clinical trials2021

Challenges of conducting a remote behavioral weight loss study: Lessons learned and a practical guide.

Lu Hu, Paige Illiano, Mary Lou Pompeii, Collin J Popp, Anna Y Kharmats, Margaret Curran, Katherine Perdomo, Shirley Chen, Michael Bergman, Eran Segal and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. 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

11 authors.

Lu HuDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: lu.hu@nyulangone.org.
Paige IllianoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Mary Lou PompeiiDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Collin J PoppDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Anna Y KharmatsDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Margaret CurranDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Katherine PerdomoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Shirley ChenDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Michael BergmanDepartment of Medicine, Division of Diabetes, Endocrinology and Metabolism, New York University Grossman School of Medicine, New York, NY, USA.
Eran SegalDepartment of Computer Science and Applied Math, Weizmann Institute of Science, Rehovot, Israel.
Mary Ann SevickDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA; Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, New York University Grossman School of Medicine, New York, NY, USA.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KWON, SIMONA, TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Mentoring URM Scientists in Behavioral and Cardiovascular Health to Increase Academic Workforce DiversityT32HL129953 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OGEDEGBE, OLUGBENGA G. · 2017 to 2021
$1.7M
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansR00MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2020 to 2022
$737k
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansK99MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2018 to 2019
$207k
American Heart Association-American Stroke Association 17SFRN33490004NCATS NIH HHS UL1 TR001445NHLBI NIH HHS R25 HL105444NHLBI NIH HHS T32 HL129953NIDDK NIH HHS P30 DK111022NIMHD NIH HHS K99 MD012811NIMHD NIH HHS R00 MD012811NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

objectivesTo describe challenges and lessons learned in conducting a remote behavioral weight loss trial.

methodsThe Personal Diet Study is an ongoing randomized clinical trial which aims to compare two mobile health (mHealth) weight loss approaches, standardized diet vs. personalized feedback, on glycemic response. Over a six-month period, participants attended dietitian-led group meetings via remote videoconferencing and were encouraged to self-monitor dietary intake using a smartphone app. Descriptive statistics were used to report adherence to counseling sessions and self-monitoring. Challenges were tracked during weekly project meetings.

resultsChallenges in connecting to and engaging in the videoconferencing sessions were noted. To address these issues, we provided a step-by-step user manual and video tutorials regarding use of WebEx, encouraged alternative means to join sessions, and sent reminder emails/texts about the WebEx sessions and asking participants to join sessions early. Self-monitoring app-related issue included inability to find specific foods in the app database. To overcome this, the study team incorporated commonly consumed foods as "favorites" in the app database, provided a manual and video tutorials regarding use of the app and checked the self-monitoring app dashboard weekly to identify nonadherent participants and intervened as appropriate. Among 135 participants included in the analysis, the median attendance rate for the 14 remote sessions was 85.7% (IQR: 64.3%-92.9%).

conclusionsExperience and lessons shared in this report may provide critical and timely guidance to other behavioral researchers and interventionists seeking to adapt behavioral counseling programs for remote delivery in the age of COVID-19.

Indexed as

COVID-19TelemedicineText MessagingHumansSARS-CoV-2Weight LossBehavioral interventionLessons learnedLifestyle interventionmHealthObesityTechnologyTelehealth

Identifiers

PMID34352387
PMCPMC8491412

What OpenQuestion holds

Textmetadata
LicenceTDM
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.