Observational studyNursing open2020
Geospatial variation in caesarean delivery.
Observational study in Nursing open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Exploring spatial clusters of caesarean sections across India - Insights from National Family Health Survey data.PLOS global public health · 2026Article
- Midwifery Care in the United States: Increasing Access and Utilization to Improve Perinatal Health Outcomes.Obstetrical & gynecological survey · 2025Review
- Regional differences in autism and intellectual disability risk associated with cesarean section delivery.Autism research : official journal of the International Society for Autism Research · 2024Article
- Exploring Female Relatives of Patients with Hemophilia' Awareness, Attitudes, and Understanding Towards Genetic Testing.Journal of multidisciplinary healthcare · 2024Article
- Geospatial analysis of cesarean section in Iran (2016-2020): exploring clustered patterns and measuring spatial interactions of available health services.BMC pregnancy and childbirth · 2022Article
- Prematurity and low birth weight: geospatial analysis and recent trends.Maternal health, neonatology and perinatology · 2022Article
- Geospatial variation in caesarean delivery.Nursing open · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The purpose of this study was to evaluate the variation in caesarean delivery rates across counties in Georgia and to determine whether county-level characteristics were associated with clusters. Design: This was a retrospective, observational study. Methods: Rates of primary and repeat caesarean by maternal county of residence were calculated for 2008 through 2012. Global Moran's I (Spatial Autocorrelation) was used to identify geographic clustering. Characteristics of high and low-rate counties were compared using student's Results: Spatial analysis of both primary and repeat caesarean rate identified the presence of clusters (Moran's I = 0.375;
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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.