Evidence map›Paper›PMID 27193580›Full record

ArticleImplementation science : IS2016

Applying the COM-B model to creation of an IT-enabled health coaching and resource linkage program for low-income Latina moms with recent gestational diabetes: the STAR MAMA program.

Margaret A Handley, Elizabeth Harleman, Enrique Gonzalez-Mendez, Naomi E Stotland, Priyanka Althavale, Lawrence Fisher, Diana Martinez, Jocelyn Ko, Isabel Sausjord, Christina Rios

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02240420 (Reaching High Risk Post-partum Women for Nutritional Assessment and Counseling Via a Telephone-based Coaching Program), which is not on this map. Cited by 74 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% of its field
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.

NCT02240420 nacompletednot on this map

Reaching High Risk Post-partum Women for Nutritional Assessment and Counseling Via a Telephone-based Coaching Program

TypeinterventionalSponsorUniversity of California, San FranciscoRan2014 to 2018Enrolled181ConditionsGestational Diabetes Mellitus, Type 2 Diabetes MellitusArmsLife Style Counseling (Star-Mama)
3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 4 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Interventions for improving health literacy in migrants.The Cochrane database of systematic reviews · 2023
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  17. Challenges faced by patients undergoing fecal ostomy surgery: a qualitative study of colorectal cancer patient perspectives.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2025
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14 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Margaret A HandleyDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA. margaret.handley@ucsf.edu.
Elizabeth HarlemanDepartment of Obstetrics and Gynecology, University of California San Francisco, San Francisco, USA.
Enrique Gonzalez-MendezDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, USA.
Naomi E StotlandDepartment of Obstetrics and Gynecology, University of California San Francisco, San Francisco, USA.
Priyanka AlthavaleDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Lawrence FisherDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, USA.
Diana MartinezDivision of General Internal Medicine, UCSF/Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Jocelyn KoUniversity of California San Francisco, San Francisco, USA.
Isabel SausjordDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Christina RiosDivision of General Internal Medicine, UCSF/Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
University of California, San Francisco · USSan Francisco General Hospital · US

Funding

Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
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
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
NCATS NIH HHS UL1 TR000004NIDDK NIH HHS P30 DK092924NIMHD NIH HHS P60 MD006902
6 · The paper itself

Abstract

backgroundOne of the fastest growing risk groups for early onset of diabetes is women with a recent pregnancy complicated by gestational diabetes, and for this group, Latinas are the largest at-risk group in the USA. Although evidence-based interventions, such as the Diabetes Prevention Program (DPP), which focuses on low-cost changes in eating, physical activity and weight management can lower diabetes risk and delay onset, these programs have yet to be tailored to postpartum Latina women. This study aims to tailor a IT-enabled health communication program to promote DPP-concordant behavior change among postpartum Latina women with recent gestational diabetes. The COM-B model (incorporating Capability, Opportunity, and Motivational behavioral barriers and enablers) and the Behavior Change Wheel (BCW) framework, convey a theoretically based approach for intervention development. We combined a health literacy-tailored health IT tool for reaching ethnic minority patients with diabetes with a BCW-based approach to develop a health coaching intervention targeted to postpartum Latina women with recent gestational diabetes. Current evidence, four focus groups (n = 22 participants), and input from a Regional Consortium of health care providers, diabetes experts, and health literacy practitioners informed the intervention development. Thematic analysis of focus group data used the COM-B model to determine content. Relevant cultural, theoretical, and technological components that underpin the design and development of the intervention were selected using the BCW framework.

resultsSTAR MAMA delivers DPP content in Spanish and English using health communication strategies to: (1) validate the emotions and experiences postpartum women struggle with; (2) encourage integration of prevention strategies into family life through mothers becoming intergenerational custodians of health; and (3) increase social and material supports through referral to social networks, health coaches, and community resources. Feasibility, acceptability, and health-related outcomes (weight loss, physical activity, consumption of healthy foods, breastfeeding, and glucose screening) will be evaluated at 9 months postpartum using a randomized controlled trial design.

conclusionsSTAR MAMA provides a DPP-based intervention that integrates theory-based design steps. Through systematic use of behavioral theory to inform intervention development, STAR MAMA may represent a strategy to develop health IT intervention tools to meet the needs of diverse populations.

trial registrationClinicalTrials.gov NCT02240420.

Indexed as

Hispanic or LatinoPostpartum PeriodAdultDiabetes, GestationalFemaleFocus GroupsHealth EducationHealth PromotionHumansMedical InformaticsMotivationPovertyPregnancyTelemedicineBehavior change theoryCOM-B modelDiabetes preventionDiabetes Prevention ProgramHealth disparities

Identifiers

PMID27193580
PMCPMC4870786
OpenAlexW2399070678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.