ArticleThe Journal of the Egyptian Public Health Association2026
Prevalence, indications, and preference of caesarean section deliveries among women attending primary health care units in Port-Said City, Egypt.
Article in The Journal of the Egyptian Public Health Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the changing perception of Caesarean Section (CS) from a lifesaving to a routine procedure, non-medically indicated CS is increasing. This study assessed the prevalence, indications, and preference for CS among women attending primary health care (PHC) units in Port Said Governorate, Egypt.
methodsA cross-sectional study was conducted from December 2023 to February 2024 in six primary health care units across Port-Said Governorate, Egypt. Married women of childbearing age who had experienced at least one childbirth (primiparous and multiparous) were included. A total of 179 participants were recruited using multistage sampling, combining random selection of PHC units and consecutive sampling of eligible women. Data were collected using a validated structured questionnaire covering socio-demographics, obstetric history, last delivery experience, and preference for the next delivery. Statistical analysis was performed using SPSS v26, including univariate and multivariate logistic regression to identify factors associated with CS and delivery preference.
resultsA total of 179 women participated in the study. Of these, 68% had CS for their last delivery. The most frequently reported reasons for previous CS were fear of labor (56%), prolonged labor (18%), and long distance to the hospital (15.6%). Regarding future delivery preferences, (61.5%) of women expressed a preference for CS. The leading reasons cited were less pain (81.8% ), the belief that CS is safer for the baby (57.3%), and the knowledge of the time of delivery (32.2%). Multivariate logistic regression identified independent predictors for each outcome. Women with higher income [AOR 10.0, 95% CI 2.7-36.9, < 0.001] and those whose doctor suggested CS [AOR 19.2, 95% CI 5.5-67.1, p < 0.001] were more likely to have had a CS in their last delivery. In contrast, preference for CS in the next delivery was independently associated with higher husband education [AOR 12.1, 95% CI 1.2-124.3, p = 0.036] and a history of previous CS [AOR 14.7, 95% CI 6.2-34.6, p < 0.001].
conclusionFear of labor and previous CS were the main drivers of past and preferred future CS deliveries, with non-medical factors outweighing medical indications. Findings highlight the need for educational interventions to support informed delivery choices.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.