Evidence map›Paper›PMID 40634842›Full record

ArticleBMC pregnancy and childbirth2025

Predictors of post caesarean section surgical site infection and referral pattern for caesarean section in a tribal dominant and resource constraint tertiary level health care Center of Central India.

Sona Singh, Neha Jain, Shruti Singh Parihar, Akash Ranjan Singh, Sanjeev Bakshi, Vikrant Kabirpanthi, Nagendra Singh

Abstract read
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sona Singh *Department of Obstetrics & Gynaecology, Birsa Munda Government Medical College Shahdol, Shahdol, India.
Neha JainDepartment of Obstetrics & Gynaecology, Birsa Munda Government Medical College Shahdol, Shahdol, India.
Shruti Singh PariharDepartment of Obstetrics & Gynaecology, Birsa Munda Government Medical College Shahdol, Shahdol, India.
Akash Ranjan Singh *Department of Community Professor, Birsa Munda Government Medical College Shahdol, Shahdol, India. akashranjan02@gmail.com.ORCID http://orcid.org/0000-0003-3937-6497
Sanjeev BakshiDepartment of Statistics, Indira Gandhi National Tribal University Amarkantak, Amarkantak, India.
Vikrant KabirpanthiDepartment of Community Professor, Birsa Munda Government Medical College Shahdol, Shahdol, India.
Nagendra SinghDepartment of General Surgery & Medical Superintendent, Birsa Munda Government Medical College Shahdol, Shahdol, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical site infection (SSI) is the most common complication post-caesarean section, causing risks such as antibiotic resistance, prolonged hospital stay, increased costs, maternal sepsis and even death. While SSI rates in India have declined by the initiative under the National Health Mission, they remain high in resource-constrained, tribal-dominant areas like Shahdol. This study estimates SSI incidence, identifies predictors, and analysed referral patterns at Medical College, Shahdol, India.

methodsFrom May to July 2023, Pregnant women requiring caesarean section were invited to participate (estimated sample size: 224). They were followed until 30 days post- caesarean section or SSI development, whichever came earlier. The 'event' was the first SSI report, and 'censoring' included those without SSI or lost to follow-up. A heatmap visualized referral patterns by healthcare centers and duty hours for common caesarean section indications. Probability of SSI risk by different factors were estimated using the Kaplan-Meier method, with survival curves compared via log-rank test. Adjusted hazard ratios were calculated using a multivariable Cox regression model.

resultThe SSI rate was 13.4%, with an incidence of 4.82 episodes per 1000 women-days. Significant predictors included caesarean section duration < 30 min (p = 0.03) and subcutaneous skin closure (p = 0.04). Pregnant women from Shahdol (aHR = 1.38), Umaria (aHR = 1.10), and other districts (aHR = 2.35) had higher SSI risk than those from Anuppur. Each additional minute in completion of caesarean section reduced SSI risk by 3% (aHR = 0.97; p = 0.045).

conclusionThe high SSI incidence in this setting resulted from an erratic and largely irrational referral system, straining limited healthcare staff to perform disproportionately high caesarean section, especially at night, without adequate septic precautions. Strengthening infection control, post-operative surveillance, and community-based follow-up may significantly reduce SSI.

Indexed as

Cesarean SectionReferral and ConsultationSurgical Wound InfectionAdultFemaleHumansIncidenceIndiaPregnancyRisk FactorsTertiary Care CentersYoung AdultKaplan Meier analysisReferral patternResource constraint tertiary level health care CenterRisk of post caesarean section surgical site infectionTribal dominant setting

Identifiers

PMID40634842
PMCPMC12243295

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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.