Evidence map›Paper›PMID 36238223›Full record

ArticleObesity science & practice2022

Engaging primary care patients with existing online tools for weight loss: A pilot trial.

Megan A McVay, Kellie B Cooper, Marissa L Donahue, Montserrat Carrera Seoane, Nipa R Shah, Fern Webb, Michael Perri, Danielle E Jake-Schoffman

Abstract read
In one paragraph

Article in Obesity science & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Identifying Social Media-Based Interactions That Help Adults to Adhere to Weight Loss Goals: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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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

8 authors.

Megan A McVayDepartment of Health Education & Behavior University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0002-2583-4277
Kellie B CooperDepartment of Health Education & Behavior University of Florida Gainesville Florida USA.
Marissa L DonahueDepartment of Psychology Utah State University Logan Utah USA.
Montserrat Carrera SeoaneDepartment of Health Education & Behavior University of Florida Gainesville Florida USA.
Nipa R ShahDepartment of Community Health and Family Medicine University of Florida College of Medicine Jacksonville Florida USA.
Fern WebbDepartment of Surgery University of Florida Jacksonville Florida USA.
Michael PerriCollege of Public Health and Health Professions University of Florida Gainesville Florida USA.
Danielle E Jake-SchoffmanDepartment of Health Education & Behavior University of Florida Gainesville Florida USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

Objective: Free online tools show potential for promoting weight loss at a low cost, but there is limited evidence about how to effectively engage patients with them. To address this, a low-dose, flexible intervention was developed that aims to enhance weight-related discussions with primary care providers (PCPs) and engage patients with an organic (i.e., not researcher-created) weight loss-focused social media community and online self-monitoring tool. Feasibility and acceptability of the intervention was evaluated in a single-arm, 12-week pilot. Methods: PCPs were recruited at two clinics, then PCP's patients with upcoming appointments were identified and recruited. Patients received an interactive online kickoff before their scheduled primary care appointment, then 8 follow-up messages over 12 weeks via email or their electronic health record patient portal. Patients completed assessments at baseline, post-appointment, and week 12. Primary care providers and patients completed semi-structured interviews. Results: All PCPs approached enrolled (n = 6); patient recruitment was on track to meet the study goal prior to COVID-19 restrictions, and n = 27 patients enrolled. Patient satisfaction with the pre-appointment kickoff was high. Twenty-four patients reported discussing weight-related topics at their primary care appointment and all were satisfied with the discussion. Twenty-two patients completed 12-week assessments. Of these, 15 reported engaging with the self-monitoring tool and 9 with the social media community. Patient interviews revealed reasons for low social media community engagement, including perceived lack of fit. On average, patients with available data (n = 21) lost 2.4 ± 4.1% of baseline weight, and 28.6% of these patients lost ≥3% of baseline weight. Primary care providers reported high intervention satisfaction. Conclusions: The intervention and trial design show potential, although additional strategies are needed to promote tool engagement.

Indexed as

Internet‐based interventionsobesityprimary caresocial mediaweight loss

Identifiers

PMID36238223
PMCPMC9535672

What OpenQuestion holds

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LicenceCC BY-NC
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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.