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ArticleJMIR research protocols2024

Development and Testing of a Mobile App for Management of Gestational Diabetes in Nepal: Protocol for a User-Centered Design Study and Exploratory Randomized Controlled Trial.

Lauren T Berube, Archana Shrestha, Abha Shrestha, Jean-Francois Daneault, Prabin Raj Shakya, Meghnath Dhimal, Roman Shrestha, Shristi Rawal

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04198857 (Development and Testing of a Mobile Health Application for Management of Gestational Diabetes), which is not on this 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.

NCT04198857 nacompletednot on this map

Development and Testing of a Mobile Health Application for Management of Gestational Diabetes

TypeinterventionalSponsorRutgers, The State University of New JerseyRan2021 to 2026Enrolled214ConditionsDiabetes, Gestational, TelemedicineArmsDevelop a mobile app that supports self- management and treatment for Nepalese GDM patients
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Lauren T BerubePublic Health Nutrition Program, Department of Epidemiology, New York University School of Global Public Health, New York, NY, United States.ORCID 0000-0001-8154-3231
Archana ShresthaInstitute for Implementation Science and Health, Kathmandu, Nepal.ORCID 0000-0002-4741-090X
Abha ShresthaDepartment of Obstetrics and Gynecology, Dhulikhel Hospital-Kathmandu University Hospital, Dhulikhel, Nepal.ORCID 0009-0008-7511-1190
Jean-Francois DaneaultDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, Newark, NJ, United States.ORCID 0000-0002-8530-1827
Prabin Raj ShakyaLab of Computer Science, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-4824-2178
Meghnath DhimalNepal Health Research Council, Kathmandu, Nepal.ORCID 0000-0001-7176-7821
Roman ShresthaDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0003-4340-3101
Shristi RawalDepartment of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers University, Newark, NJ, United States.ORCID 0000-0003-2587-4022

Funding

Training in MHealth Prevention with MSMK01DA051346 · NIDA · YALE UNIVERSITY · PI SHRESTHA, ROMAN · 2020 to 2024
$862k
Development and Testing of a Mobile Health Application for Management of Gestational DiabetesR21TW011377 · FIC · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI RAWAL, SHRISTI · 2019 to 2020
$446k
FIC NIH HHS R21 TW011377NIDA NIH HHS K01 DA051346
6 · The paper itself

Abstract

backgroundThe prevalence of gestational diabetes mellitus (GDM) is increasing, particularly in low- and middle-income countries (LMICs) like Nepal. GDM self-management, including intensive dietary and lifestyle modifications and blood glucose monitoring, is critical to maintain glycemic control and prevent adverse outcomes. However, in resource-limited settings, several barriers hinder optimal self-management. Mobile health (mHealth) technology holds promise as a strategy to augment GDM treatment by promoting healthy behaviors and supporting self-management, but this approach has not yet been tested in any LMIC.

objectiveThis report describes the protocol to develop a culturally tailored mHealth app that supports self-management and treatment of GDM (GDM-Dhulikhel Hospital [GDM-DH] app, phase 1) and test its usability and preliminary efficacy (phase 2) among patients with GDM in a periurban hospital setting in Nepal.

methodsThe study will be conducted at Dhulikhel Hospital in Dhulikhel, Nepal. In the development phase (phase 1), a prototype of the GDM-DH app will be developed based on expert reviews and a user-centered design approach. To understand facilitators and barriers to GDM self-management and to gather feedback on the prototype, focus groups and in-depth interviews will be conducted with patients with GDM (n=12), health care providers (n=5), and family members (n=3), with plans to recruit further if saturation is not achieved. Feedback will be used to build a minimum viable product, which will undergo user testing with 18 patients with GDM using a think-aloud protocol. The final GDM-DH app will be developed based on user feedback and following an iterative product design and user testing process. In the randomized controlled trial phase (phase 2), newly diagnosed patients with GDM (n=120) will be recruited and randomized to either standard care alone or standard care plus the GDM-DH app from 24-30 weeks gestation until delivery. In this proof-of-concept trial, feasibility outcomes will be app usage, self-monitoring adherence, and app usability and acceptability. Exploratory treatment outcomes will be maternal glycemic control at 6 weeks post partum, birth weight, and rates of labor induction and cesarean delivery. Qualitative data obtained from phase 1 will be analyzed using thematic analysis. In phase 2, independent 2-tailed t tests or chi-square analyses will examine differences in outcomes between the 2 treatment conditions.

resultsAs of July 2024, we have completed phase 1. Phase 2 is underway. The first participant was enrolled in October 2021, with 99 participants enrolled as of July 2024. We anticipate completing recruitment by December 2024 and disseminating findings by December 2025.

conclusionsApp-based lifestyle interventions for GDM management are not common in LMICs, where GDM prevalence is rapidly increasing. This proof-of-concept trial will provide valuable insights into the potential of leveraging mHealth app-based platforms for GDM self-management in LMICs.

trial registrationClinicalTrials.gov NCT04198857; https://clinicaltrials.gov/study/NCT04198857. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/59423.

Indexed as

Diabetes, GestationalMobile ApplicationsAdultFemaleHumansNepalPregnancyRandomized Controlled Trials as TopicSelf-ManagementTelemedicinegestational diabetes mellituslow- and middle-income countrymaternal and child healthmHealthmobile healthmobile phoneNepalpregnancyself-managementSouth Asia

Identifiers

PMID39432898
PMCPMC11535795

What Socratic 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 Socratic graph.