Chorioamnionitis and its associated factors among women admitted to the maternity unit of Public Hospitals in Addis Ababa, Ethiopia
Bibliographic Data
| ID | 19593143 |
|---|---|
| Authors | Tadios Niguss Derese (0000-0003-2476-5959, Kotebe University of Education, corresponding author), Mekdes Dereje Wondafrash (Ethiopian Public Health Association, corresponding author), Abel Melese Teka (0009-0000-8388-0880, Addis Ababa University, corresponding author), Hiwot Soboksa Mideksa (0009-0009-0334-3387, Tikur Anbessa Hospital, corresponding author), Lidia Dagne Mario (0009-0006-3837-0914, Boston University, corresponding author), Tsegaye Gebreyes Hundie (0009-0001-7871-0569, Kotebe University of Education, corresponding author), Robel Bayou Tilahun (corresponding author), Abel Abebe Demie (corresponding author) |
| Editors | Shiyam Sunder |
| Year | 2025 |
| Volume | 5 |
| Issue | 7 |
| Pages | e0004467 |
| Publication date | 2025-07-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0004467 |
| PMID | 40658692 |
| OpenAlex | W4412398389 |
| Language | EN |
| References cited | 14 |
Chorioamnionitis is a medical illness marked by maternal fever, leukocytosis, tachycardia, uterine discomfort, and preterm membrane rupture. Chorioamnionitis affects approximately 4% of full-term deliveries worldwide, but it is more common in preterm pregnancies and early membrane rupture. This study aimed to assess the prevalence and associated factors of chorioamnionitis among mothers in public hospitals in Addis Ababa, Ethiopia.A hospital-based cross-sectional study was conducted among maternity patients at Zewditu Memorial, Gandhi Memorial, and Abebech Gobena MCH Hospitals from June 15 to July 15, 2024. A simple random sampling technique with proportional size allocation was used to select a total sample of 379 patients. Data were collected using an interviewer-administered questionnaire and analyzed with SPSS version 26.Binary logistic regression was used to analyze the association between dependent and independent variables. Significance was set at p
Chorioamnionitis · Confidence interval · Confounding · Gestational age · Logistic regression · Obstetrics · Pregnancy · Medicine · Neonatal and Maternal Infections · Preterm Birth and Chorioamnionitis · Reproductive tract infections research · Internal Medicine · Pediatrics
| Highly cited | No |
|---|