Evidence mapPaperPMID 32602845Full record

ArticleJMIR formative research2020

Barriers to Gestational Diabetes Management and Preferred Interventions for Women With Gestational Diabetes in Singapore: Mixed Methods Study.

Sumali Hewage, Jananie Audimulam, Emily Sullivan, Claudia Chi, Tong Wei Yew, Joanne Yoong

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 21 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 6 pooled it
1.9field-weighted citation impact, top 11% 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.

NCT06292871 naunknown statusnot on this mapstarted 2024, after this paper: background citation

The Acceptability and Feasibility of Using a Social Media Platform to Provide Continuous Support in the Follow-up Management of Gestational Diabetes: A Pilot Randomised Controlled Trial

TypeinterventionalSponsorKK Women's and Children's HospitalRan2024 to 2025Enrolled80ConditionsGestational DiabetesArmsAdditional GDM management through social media, Usual care
NCT06974188 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management: A Randomized Controlled Trial (CURAte)

TypeinterventionalSponsorNational University Hospital, SingaporeRan2025 to 2027Enrolled1,700ConditionsHigh-risk Pregnancy, Pregnancy, Antenatal HealthArmsAI-risk Stratification
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 6 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Sumali HewageSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-8898-4336
Jananie AudimulamIntegrated Health Promotion Unit, Ministry of Health Transformation Office, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0826-8330
Emily SullivanFamily Planning 2020, United Nations Foundation, Washington, WA, United States.ORCID https://orcid.org/0000-0001-7225-8930
Claudia ChiDepartment of Obstetrics and Gynecology, National University Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0003-1185-715X
Tong Wei YewDivision of Endocrinology, Department of Medicine, National University Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0002-7349-3841
Joanne YoongCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-0162-9885
National University Hospital · SGMinistry of Health · SGNational University of Singapore · SGUnited Nations Foundation · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is associated with risks for both the mother and child. The escalated prevalence of GDM because of obesity and changes in screening criteria demands for greater health care needs than before.

objectiveThis study aimed to understand the perception of patients and health care providers of the barriers to GDM management and preferred interventions to manage GDM in an Asian setting.

methodsThis mixed methods study used a convergent parallel design. Survey data were collected from 216 women with GDM, and semistructured interviews were conducted with 15 women and with 8 health care providers treating patients with GDM. Participants were recruited from 2 specialized GDM clinics at the National University Hospital, Singapore.

resultsThe patients were predominantly Chinese (102/214, 47.6%), employed (201/272, 73.9%), with higher education (150/216, 69.4%) and prenatal attendance at a private clinic (138/214, 64.2%), already on diet control (210/214, 98.1%), and receiving support and information from the GDM clinic (194/215, 90.2%) and web-based sources (131/215, 60.9%). In particular, working women reported barriers to GDM management, including the lack of reminders for blood glucose monitoring, diet control, and insufficient time for exercise. Most women preferred getting such support directly from health care providers, whether at the GDM clinic (174/215, 80.9%) or elsewhere (116/215, 53.9%). Smartphone apps were the preferred means of additional intervention. Desirable intervention features identified by patients included more information on GDM, diet and exercise options, reminders for blood glucose testing, a platform to record blood glucose readings and illustrate or understand trends, and a means to communicate with care providers.

conclusionsA GDM-focused smartphone app that is able to integrate testing, education, and communication may be a feasible and acceptable intervention to provide support to women with GDM, particularly for working women.

Indexed as

gestational diabetesmobile phonepatient-centered carepregnancyself-managementtelemedicine

Identifiers

PMID32602845
PMCPMC7367517
OpenAlexW3008302958

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.