Evidence map›Paper›PMID 40837148›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2025

The effectiveness of an integrated continuous team midwifery care model on the quality of antenatal care in Iran's health system: A randomized controlled trial.

Farzaneh Nasiri, Azam Bagheri, Maryam Dastoorpour, Shahla Khosravi, Zahra Abbaspoor

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 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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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Farzaneh NasiriDepartment of Midwifery, Reproductive Health Promotion Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Azam BagheriDepartment of Midwifery and Reproductive Health, Kashan University of Medical Sciences, Kashan, Iran.
Maryam DastoorpourDepartment of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Shahla KhosraviDepartment of Community Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zahra AbbaspoorDepartment of Midwifery, Reproductive Health Promotion Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: In maternity care, high quality prenatal care is essential for both women and babies. Continuity and coordination of midwifery care are very crucial in improving the quality of care. The present study investigated the effectiveness of an integrated continuous team midwifery care model (ICTMC) on the quality of antenatal care in Iran's health system. Methods: This randomized controlled trial included 200 low-risk nulliparous women selected from governmental health centers in Kashan, Iran during 2023-2024. The women were randomized into two groups, with block sizes of four and six, maintaining a 1:1 allocation ratio. A dedicated team of midwives offered continuous care throughout the gestation, labor and parturition periods plus postnatal care (6 weeks after birth) for the women in the intervention group. The control group, on the other hand, received standard care from various midwives during the same periods. A demographic questionnaire, and the Quality of Prenatal Care Questionnaire were used for data collection. Data were analyzed using descriptive and inferential statistics in STATA-17. Results: The ICTMC group exhibited a significantly higher mean of quality of prenatal care scores compared to the control group (158.83 ± 17.13 vs.133.51 ± 24.48, p < 0.001), and this superiority was observed in all dimensions of this scale. Conclusion: The present study offers evidence for the benefits of ICTMC, A collaborative approach among inform policymakers, healthcare providers, and researchers is recommended to facilitate the implementation of ICTMC within the Iranian healthcare system.

Indexed as

AntenatalContinuityMidwiferyPregnancyQualityRandomized controlled trial

Identifiers

PMID40837148
PMCPMC12361796

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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.