Evidence mapPaperPMID 38756007Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.

Jin Yu, Oyoung Kim, Byung Soo Kang, Seon Ui Lee, Youn Ju Lee, Han Sung Hwang, Seung Mi Lee, Seung Chul Kim, Yoon-Hee Choi, Hyun Sun Ko

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jin YuThe Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-4967-9862
Oyoung KimThe Catholic University of Korea, Seoul, Republic of Korea.
Byung Soo KangThe Catholic University of Korea, Seoul, Republic of Korea.
Seon Ui LeeThe Catholic University of Korea, Seoul, Republic of Korea.
Youn Ju LeeMedical Excellence Inc., Seoul, Korea.
Han Sung HwangKonkuk University School of Medicine, Seoul, Korea.
Seung Mi LeeSeoul National University College of Medicine, Seoul, Republic of Korea.
Seung Chul KimPusan National University College of Medicine, Busan, Korea.
Yoon-Hee ChoiThe Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-0661-8392
Hyun Sun KoThe Catholic University of Korea, Seoul, Republic of Korea.

Funding

National Institues of Health
6 · The paper itself

Abstract

This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all

Indexed as

Diabetes, GestationalAdultCross-Sectional StudiesFemaleHealth PersonnelHumansPregnancySurveys and QuestionnairesTelemedicinediabetesdigital technologygestationalpostpartum periodpregnancy

Identifiers

PMID38756007
PMCPMC11100378

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.