Incidence and predictors of surgical site infection in Ethiopia: prospective cohort
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Published on: June 23, 2020
Tamrat Legesse Laloto1, Desta Hiko Gemeda2, Sadikalmahdi Hussen Abdella3
1Hawassa College of Health Sciences, Hawassa, Ethiopia.
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.
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