Evidence map›Paper›PMID 39687585›Full record

ArticlePublic health in practice (Oxford, England)2024

Cesarean delivery and its determining factors: A hospital-based study in Jashore District, Bangladesh.

Md Sakhawot Hossain, Suvasish Das Shuvo, Sharmin Asha, Md Raihan Chodhoury, Md Toufiq Elahi

Abstract read
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Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Md Sakhawot HossainDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Suvasish Das ShuvoDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Sharmin AshaDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Raihan ChodhouryDepartment of Physical Education and Sports Science, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Toufiq ElahiDepartment of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rising prevalence of cesarean deliveries (CD) is a major public health problem worldwide, especially in Bangladesh. This study aims to investigate the prevalence and factors associated with cesarean deliveries in the Jashore district of Bangladesh. Study design: This cross-sectional study, conducted from December 2022 to February 2023 in Jashore district, Bangladesh, involved face-to-face interviews with 662 mothers during hospital visits. Methods: A pretested, structured, and validated questionnaire was employed to gather information on socioeconomic characteristics, obstetric history, maternal healthcare utilization, and factors influencing the choice of delivery method. Multinomial logistic regression models were employed to assess and predict determining factors influencing cesarean delivery. Results: The study revealed a high cesarean delivery (CD) prevalence of 70.5 %, exceeding the WHO-recommended threshold. Key socioeconomic factors associated with increased CD rates included rural residence, younger maternal age (15-20 years), nuclear family structure, and husbands in business. Additionally, private hospital deliveries, a history of previous CD, maternal self-preference, and doctor's influence were significant predictors of CD. The majority of participants believed CD enhances maternal safety (74.6 %) and alleviates pain (74.8 %). Conclusion: The high rate of cesarean deliveries in Jashore highlights the need for public health interventions that improve access to quality maternal care and promote evidence-based decision-making. Reducing unnecessary cesarean procedures, particularly in private hospitals, and enhancing patient education can significantly improve maternal and neonatal health outcomes.

Indexed as

Bangladeshi womenChildbirthDecision-makingObstetricPrevalence

Identifiers

PMID39687585
PMCPMC11647783

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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.