Evidence map›Paper›PMID 39897409›Full record

ArticleInternational journal of women's health2025

Impact of Self-Management Clustered Care on Psychological and Birth Outcomes in Gestational Diabetes.

Shuting Tang, Song Wang, Jinyan Wu, Shoudi Hu, Tingting Lu, Minli Zhu, Jinzhi Li, Fang Xue

Abstract read
In one paragraph

Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuting Tang *School of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Song Wang *School of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.ORCID 0000-0003-0788-7567
Jinyan WuSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Shoudi HuSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Tingting LuMaternity Ward, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Minli ZhuMaternity Ward, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Jinzhi LiSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.
Fang XueSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purposes: To investigate the effects of a self-management-cluster-based pregnancy care model (SMB-CPCM) on the psychological status and delivery outcomes of pregnant women with gestational diabetes mellitus (GDM). Patients and Methods: A total of 120 pregnant women with GDM who had been filed and had regular obstetric examinations in a tertiary-level hospital in Bengbu City between 1 April 2023 and 1 April 2024 were included in the study using the convenience sampling method. Sixty women each were grouped into a study group and a control group using the randomised numeric table method. The study group implemented the SMB-CPCM and the control group used the conventional pregnancy healthcare model. We compared the differences in self-management ability, blood glucose concentration, delivery outcome, and psychological status. Results: Self-management ability scores were higher in both groups following the intervention than before the intervention (P<0.001), and the increase was more notable in the study group ( Conclusion: SMB-CPCM can effectively control the blood glucose levels of pregnant women with GDM and improve their self-management ability, psychological status, and delivery outcomes. SMB-CPCM shows a good prospect in the management of gestational diabetes and is worth promoting. Future research can explore the impact of SMB-CPCM on long-term health outcomes of pregnant women with diabetes, so as to comprehensively evaluate its clinical value.

Indexed as

clustered pregnancy care modeldelivery outcomesgestational diabetespsychological stateself-management ability

Identifiers

PMID39897409
PMCPMC11787780

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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 OpenQuestion graph.