Evidence map›Paper›PMID 41564029›Full record

ArticlePloS one2026

Predictors of surgical site infections following cesarean delivery in public hospitals of West Ethiopia: A cohort study.

Mesfin Abera Hambisa, Meseret Belete Fite, Robsan Gudeta Getachew, Temesgen Tilahun, Dereje Chala, Emiru Merdasa, Befirdu Mulatu, Werku Etafa, Abdisa Abera, Misganu Teshoma Regasa

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mesfin Abera HambisaWollega University comprehensive specialized hospital, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.ORCID https://orcid.org/0009-0005-5646-989X
Meseret Belete FiteDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Robsan Gudeta GetachewDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Temesgen TilahunDepartment of Obstetrics and Gynecology, School of Medicine, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Dereje ChalaDepartment of Nursing, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Emiru MerdasaDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Befirdu MulatuDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Werku EtafaDepartment of Nursing, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Abdisa AberaWollega University comprehensive specialized hospital, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Misganu Teshoma RegasaDepartment of Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical site infection rates after cesarean delivery among women who delivered are increasing at an alarming rate. This results in maternal mortality, disability, prolonged hospital stay, significant financial expense, psycho-social disturbance, antibiotic resistance, and a window period opportunity missed for the baby. Despite previous Ethiopian studies on surgical site infection after cesarean delivery with a cohort design being conducted in a single center and did not consider certain risk factors, which limited their findings. This study accounts for factors such as the American Society of Anesthesiologists (ASA) class, postoperative hemoglobin levels, presence of meconium, postpartum hemorrhage, and antibiotic prophylaxis. This study aimed to determine the incidence and predictors of surgical site infection post- cesarean delivery among women who gave birth in public hospitals in the East Wollega Zone, West Ethiopia.

methodsA hospital-based prospective cohort study was conducted in East Wollega public hospitals from 15th January to 14th April, 2024, involving 408 participants selected consecutively. We entered data using Epi-Data version 4.6 and exported to STATA version 14 for analysis. The Kaplan-Meier method was used to estimate surgical site infection. The Cox proportional hazard assumptions were checked using Schoenfeld residual statistics, while the Cox-Snell residual test was used to check the final model's adequacy. Then, in a multi-variable analysis, variables with a p-value < 0.05 were declared as predictors of surgical site infection.

resultsThe incidence rate of SSI is 9.4/1000 person/day (95% CI: 7.5, 11.6). Presence of meconium (AHR = 2.37, 95% CI: 1.3, 4.12), emergency Cesarean delivery (AHR = 2.5, 95% CI: 1.16, 5.41), American Society of Anesthesiologists class ≥ III (AHR = 5.3, 95% CI: 2.8, 9.78), postoperative hemoglobin <11 g/dl (AHR = 1.78, 95% CI: 1.04, 3.06), and absence of antibiotic prophylaxis (AHR = 2.46, 95% CI: 1.4, 4.21) were identified as statistically significant predictors of surgical site infection among post cesarean delivery mothers.

conclusionThis study demonstrated a significant incidence density of surgical site infection within the study area. For the identified predictors, the authors recommend the need for target interventions particularly, the consistent administration of antibiotic prophylaxis and vigilant monitoring of patients with existing health complications or those undergoing emergency procedures to reduce the burden of surgical site infection in this area.

Indexed as

Cesarean SectionSurgical Wound InfectionAdultCohort StudiesEthiopiaFemaleHospitals, PublicHumansIncidencePregnancyProspective StudiesRisk FactorsYoung Adult

Identifiers

PMID41564029
PMCPMC12822956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.