Evidence map›Paper›PMID 42008264›Full record

Trial reportJAMA network open2026

Adaptive Mobile Health Intervention to Reduce Excess Gestational Weight Gain: A Cluster-Randomized Clinical Trial.

Monique M Hedderson, Susan D Brown, Charles P Quesenberry, Fei Xu, Emily F Liu, Karen L Li, Sneha B Sridhar, Tali Sedgwick, Page Kissel, Hillary D Serrato Bandera and 3 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03880461 (Cluster Randomized Trial of a Mobile Health Intervention to Achieve Appropriate Gestational Weight Gain in Overweight/Obese Women), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03880461 nacompletednot on this map

Cluster Randomized Trial of a Mobile Health Intervention to Achieve Appropriate Gestational Weight Gain in Overweight/Obese Women

TypeinterventionalSponsorKaiser PermanenteRan2021 to 2025Enrolled1,335ConditionsGestational Weight GainArmsLifestyle Intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Monique M HeddersonKaiser Permanente Northern California, Division of Research, Pleasanton.
Susan D BrownCenter for Upstream Prevention of Adiposity and Diabetes Mellitus, Kaiser Permanente Northern California, Division of Research, Pleasanton.
Charles P QuesenberryKaiser Permanente Northern California, Division of Research, Pleasanton.
Fei XuKaiser Permanente Northern California, Division of Research, Pleasanton.
Emily F LiuKaiser Permanente Northern California, Division of Research, Pleasanton.
Karen L LiKaiser Permanente Northern California, Division of Research, Pleasanton.
Sneha B SridharKaiser Permanente Northern California, Division of Research, Pleasanton.
Tali SedgwickKaiser Permanente Northern California, Division of Research, Pleasanton.
Page KisselKaiser Permanente Northern California, Division of Research, Pleasanton.
Hillary D Serrato BanderaKaiser Permanente Northern California, Division of Research, Pleasanton.
Mibhali M BhalalaThe Permanente Medical Group, Kaiser Permanente Northern California, Pleasanton.
Cheryl L AlbrightUniversity of Hawaii at Manoa School of Nursing and Dental Hygiene, Honolulu.
Assiamira FerraraKaiser Permanente Northern California, Division of Research, Pleasanton.

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Cluster randomized trial of a mobile health intervention to achieve appropriate gestational weight gain in overweight/obese womenR01DK118455 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI HEDDERSON, MONIQUE MARIE · 2019 to 2023
$3.0M
NIDDK NIH HHS P30 DK092924NIDDK NIH HHS R01 DK118455
6 · The paper itself

Abstract

Importance: Excessive gestational weight gain (GWG) occurs in 50% of pregnant patients with overweight or obesity and is associated with several perinatal complications. Scalable, evidence-based lifestyle interventions are needed. Objective: To test whether an adaptive mobile health lifestyle intervention plus standard care reduces excessive GWG compared with standard care alone. Design, Setting, and Participants: This cluster-randomized clinical trial, with randomization at the clinician level, enrolled pregnant patients with a singleton pregnancy, prepregnancy body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) 25.0 to less than 40.0, and receiving care within an integrated health system. Data were analyzed from May 1, 2024, to February 12, 2026. Interventions: Clinicians randomized to the intervention received motivational interviewing guidance for discussing GWG, and their patients received personalized, automated feedback on GWG and physical activity via a smartphone application; a wireless scale and activity tracker; 13 weekly education topics delivered via app; and step-wise chats and/or phone support from a lifestyle coach, for those experiencing accelerated GWG. Main Outcomes and Measures: The co-primary outcomes were weekly rate of GWG and total GWG (both continuous and categorized per IOM guidelines). Results: From a total of 58 clinicians who consented to participate, 1265 patients (mean [SD] age, 33.4 (4.6) years; mean [SD] prepregnancy BMI, 29.8 [3.8]) consented to participate and were enrolled in the trial, including 677 patients in the intervention group and 588 patients in the standard care condition. The weekly rate of GWG was significantly lower in the intervention group vs standard care group (mean [SD] rate, 0.25 [0.20] vs 0.28 [0.20] kg/week; mean between-group difference, -0.03 [95% CI, -0.05 to -0.01] kg/week). Fewer patients in the intervention group exceeded IOM guidelines for weekly rate of GWG than in the standard care group (351 patients [51.9%] vs 354 patients [60.2%]; RR, 0.86 [95% CI, 0.78-0.95]), while more patients gained below the guidelines (148 patients [21.8%] vs 101 patients [17.2%]; relative risk [RR], 1.27 [95% CI, 1.01-1.61]). Total GWG was significantly lower in the intervention group than the standard care group (mean [SD], 9.7 [6.2] vs 10.6 [6.2] kg; mean between-group difference, -0.87 [95% CI, -1.40 to -0.34] kg). Fewer patients in the intervention exceeded IOM guidelines for total GWG than in standard care (299 patients [44.1%] vs 301 patients [51.2%]; RR, 0.87 [95% CI, 0.77-0.98]) while more patients gained below the total GWG guidelines [182 patients [26.8%] vs 126 patients [21.5%]; RR, 1.23 [95% CI, 1.04-1.45]). Conclusions and Relevance: This cluster-randomized trial found that an adaptive intervention leveraging technology effectively reduced the rate of GWG and total GWG among pregnant patients with overweight or obesity. Trial Registration: ClinicalTrials.gov Identifier: NCT03880461.

Indexed as

Gestational Weight GainPregnancy ComplicationsAdultBody Mass IndexDigital HealthFemaleHumansLife StyleObesityOverweightPregnancyTelemedicine

Identifiers

PMID42008264
PMCPMC13096985

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Registered trials

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.