Evidence map›Paper›PMID 40862261›Full record

ArticleJournal of multidisciplinary healthcare2025

Combined Quality Management and Preventive Care in Cesarean Sections: Effects on Maternal Infection.

Huaying Zhu, Xiaoli Ma

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. 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

2 authors.

Huaying ZhuDepartment of Radiology, General Hospital of Shaoxing Second Hospital Medical Community, Shaoxing, Zhejiang, 311800, People's Republic of China.
Xiaoli MaGynecology Department, Zhuji Maternal and Child Health Hospital, Zhuji, Zhejiang, 311800, People's Republic of China.ORCID 0009-0005-9087-8507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore and analyze the application of combined intervention of quality management and preventive care in cesarean section parturients and its impact on maternal infection. Methods: A total of 130 parturients who underwent cesarean section in our hospital from January 2023 to December 2024 were enrolled. They were divided into study group and control group (65 cases each). The control group received routine nursing intervention, while the study group received combined intervention of quality management (systematic process improvement) and preventive care (complication-focused interventions). The application effects, infection status, nursing quality, and quality of life were compared. Results: Baseline data (age, gestational weeks) showed no significant difference (p>0.05). The study group showed significantly better postoperative recovery than the control group. The study group demonstrated better postoperative recovery, significantly lower Visual Analogue Scale (VAS) pain scores at all time points, and higher disease understanding scores versus the control group. The study group also had lower total infection rates, reduced bacterial detection, higher Chinese Quality of Life 74 (CQOL-74) scores, improved nursing quality, and higher satisfaction (p<0.05). Conclusion: The combined intervention significantly promotes recovery, reduces pain, enhances disease understanding, and controls maternal infection in cesarean section parturients. It improves nursing quality, quality of life, and satisfaction, offering new clinical insights.

Indexed as

cesarean sectioncombined interventioninfection statuspreventive carequality management

Identifiers

PMID40862261
PMCPMC12375346

What OpenQuestion holds

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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 OpenQuestion graph.