Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2017 Feb 3;17(1):119.
doi: 10.1186/s12879-016-2167-x.

Incidence and predictors of surgical site infection in Ethiopia: prospective cohort

Tamrat Legesse Laloto  1 , Desta Hiko Gemeda  2 , Sadikalmahdi Hussen Abdella  3
Affiliations
Observational Study

Incidence and predictors of surgical site infection in Ethiopia: prospective cohort

Tamrat Legesse Laloto et al. BMC Infect Dis. .

Abstract

Background: Surgical site infections are commonest nosocomial infections and responsible for considerable morbidity and mortality as well as increased hospitalizations and treatment cost related to surgical operations. The aim of this study was to determine incidence and predictors of surgical site infections at surgical ward of Hawassa University Referral Hospital, Southern Ethiopia.

Methods: We performed prospective study involving 105 patients that undergone major surgical procedure at Hawassa University Referral Hospital from March 2 to May 2, 2015. Data were extracted from paper based medical charts, operational and anesthesia note, by direct observation and patients' interview. All patients were followed daily before, during and after operation for 30 days starting from the date of operation. Data were analyzed using Statistical Package for Social Science (SPSS) for window version 20.0 software. Predictors of Surgical site infections were identified using multivariable logistic regression model. P-value less than 0.05 was considered to be statistically significant.

Result: We studied 105 patients. Sixty four patients (61%) were males. The mean age of the patients was 30.85 ± 17.72 years. The mean Body Mass Index (BMI) was 21.6 ± 4 kg/m2. Twenty patients (19.1%) developed surgical site infections. Age greater than 40 years, AOR = 7.7(95% CI [1.610-40.810 p = 0.016,]), preoperative hospital stay more than 7 days, AOR = 22.4(95% CI [4.544-110.780, p = 0.001]), duration of operation more than 1 hour, AOR = 8.01(95% CI [1.562-41.099, p = 0.013]) and administering antimicrobial prophylaxis before 1 hour of operation, AOR = 11.1 (95% CI [1.269-75.639, p = 0.014]) were independent predictors for surgical site infections.

Conclusion: Surgical site infection is relatively high.

Keywords: Antimicrobial prophylaxis; Ethiopia; Predictors; Surgical site infection.

PubMed Disclaimer

References

    1. Larson EL, York N, York N, Pearson ML, Lee JT, Adams AB, et al. Guideline for prevention of surgical site infection. Infect Control Hospital Epidemiol. 1999;20(4):247–77. doi: 10.1086/501620. - DOI - PubMed
    1. Tietjen L, Bossemeyer D, McIntosh N. Infection Prevention: Guidelines for Healthcare Facilities with Limited Resources. Baltimore: JHPIEGO; 2003.
    1. Singh R, Singla P, Chaudhary U. Surgical site infections: classification, risk factors, pathogenesis and preventive management: review article. Int J Pharma Research Health Sci. 2014;2(3):203–14.
    1. AlanR S, Kavitha C. Antibiotic prophylaxis to prevent surgical site infection. Am Fam Physician. 2011;83(5):585–90. - PubMed
    1. Mawalla B, Mshana SE, Chalya PL, Imirzalioglu C, Mahalu W. Predictors of surgical site infections among patients undergoing major surgery at Bugando Medical Centre in Northwestern Tanzania. BMC Surg. 2011;11(1):21. doi: 10.1186/1471-2482-11-21. - DOI - PMC - PubMed

Publication types

MeSH terms