Evidence map›Paper›PMID 40800154›Full record

ArticleHealth SA = SA Gesondheid2025

Prevalence and factors of surgical site infections in surgical wards, Windhoek, Namibia.

Anna N Haifete, Petra Brysiewicz

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2025. 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

2 authors.

Anna N HaifeteSchool of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0009-0001-5262-1533
Petra BrysiewiczSchool of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-6258-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Surgical site infection (SSI) is a prevalent healthcare-associated infection worldwide, defined as any incisional infection occurring within 30 days post-operation or within 1 year in the presence of an implant. Healthcare-associated infections represent a significant threat to patient health and continue to pose a major global challenge. Aim: This study aims to determine the prevalence of SSI and identify associated factors among patients in surgical wards who have undergone surgical procedures in Windhoek, Namibia. Setting: This study was conducted in two state hospitals in Windhoek, Namibia. Methods: This study employed a quantitative, hospital-based cross-sectional design, utilising a retrospective chart review of patients who underwent surgical procedures between March 2019 and February 2021. Results: The overall prevalence of SSI was 10.1% (95% confidence interval: 8.4% - 11.8%). Hospitals 1 and 2 had a prevalence of 11.5% and 8.7%, respectively. Factors associated with SSIs were found to be age groups 31-60 years, male patients, postoperative hospital stays ≥ 5 days, emergency surgery, abdominal and lower extremity surgeries, operation referred from other hospitals, previous history of surgery, 1 h-2 h duration of surgery and deceased patients. Diabetes mellitus, HIV/AIDS, cancer, malignancy and multiple comorbidities were also noted to increase the risk of SSIs. Conclusion: The prevalence of SSI in this study remains high, and therefore, context-based interventions should focus on the factors identified to guide the effective management of patients. Contribution: This study provides evidence to improve surgical site infections in Namibia.

Indexed as

Namibiaprevalencesurgical in-patientssurgical site infectionsurgical wards

Identifiers

PMID40800154
PMCPMC12339863

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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.