Introduction Antibiotics are among the most commonly misused of all drugs, which results in antibiotic resistance and waste of resources and it has not been studied in Ethiopia. Therefore, this study was carried out to assess antibiotic use–related problems and their costs among patients hospitalized at the surgical ward of Jimma University Medical Center. Methods Hospital-based prospective observational study was used to assess the prevalence, cost, and determinants of antibiotic use–related problems; multiple stepwise backward logistic regression analysis was done for a P value of < 0.25 to look for predictors of antibiotic use-related problems. Written informed consent was obtained and confidentiality was secured. Results Among 300 participants, antibiotic use–related problems (ABURPs) were found in 69.3% of the study participants. The direct total cost attributed to these problems was approximated to a minimum of 2230.15 US$. Independent predictors for antibiotic use–related problems were: indication for antibiotic use like: use of antibiotic for prophylaxis; p < 0.0001, antibiotic use for both therapeutic & prophylaxis; p < 0.0001, CDC wound class I and II; p = 0.016 and; p = 0.002 respectively, overall poly-pharmacy and greater than 2 antibiotic exposure during hospital stay; p = 0.019and p = 0.006 respectively and hospital stay for ≥21 days; p = 0.007. Conclusion The prevalence of antibiotic use-related problems was high and resulted in extra cost. Antibiotic use for prophylaxis, prophylaxis, and treatment, poly-pharmacy, greater than 2 antibiotic exposures during the hospital stay, CDC wound class I and II, and duration of hospital stay of ≥ 21 days was found to be independent predictors of antibiotic use–related problems.

Background: Data regarding prolonged length of hospital stay (PLOS) and in-hospital mortality are paramount to evaluate efficiency and quality of surgical care as well as for rational resource utilization, allocation, and administration. Thus, PLOS and in-hospital mortality have been used as a surrogate indicator of satisfactory treatment outcome and efficient utilization of resources for a given health institution. However, there was a scarcity of data regarding these issues in Ethiopia. Therefore, this study aimed to assess treatment outcome, length of hospital stay, in-hospital mortality, and their determinants. Methods: Health facility-based prospective observational study was used for three consecutive months among adult patients hospitalized for the surgical case. Socio-demographic, clinical history, medication history, in-hospital complications, and overall treatment outcomes were collected from the medical charts' of the patients, using a checklist from the day of admission to discharge. PLOS is defined as hospital stay > 75th percentile (≥33 days for the current study). To identify predictor variables for both PLOS and in-hospital mortality, multivariate logistic regression was performed at p-value < 0.05 using SPSS version 20. Written informed consent was sought and secured. Results: Of 269 study participants, 91.8% were improved and discharged. PLOS was recorded in 25.3%; at least 33 days of hospital stay. Overall in-hospital mortality was 4.8%; which is equal to an incidence rate of 0.00193 per person-days, 5.2% in-hospital sepsis, and 2.6% of Hospital-acquired pneumonia (HAP), during their hospital stay. After adjusting for other factors; female gender (p = 0.003), emergency admission (p = 0.015), presence of Poly-pharmacy (p = 0.017), and presence of sepsis (p = 0.006) were found to be independent predictors for in-hospital mortality. On top of this, female gender (p = 0.026), patients who was paid by government (p = 0.007), burn-related surgery (p = 0.049), presence of cancer (p = 0.027), > 2 antibiotic exposure (p < 0.0001), and waiting for surgery for > 7 days (p < 0.0001) were independent predictors for PLOS.

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Background: Surgical site infection (SSI) is the most prevalent in developing countries where 61-90% of cases develop in-hospital. The study aimed to assess the correctness of antibiotic prophylaxis (AP) use, the incidence of in-hospital SSI, and its determinants. Patients and Methods: A 3-month hospital-based prospective observational study design was used on general surgery patients. The criteria for identification of SSI were performed based on the Center for Disease Control and Prevention's (CDC's) definition of SSI. The correctness of AP was performed based on the American Society of Health System Pharmacist 2013 guideline (ASHP). Multiple stepwise backward logistic regression analysis was used at p-value <0.05 to predict SSI. Results: Of 269 adult patients, the type of admission was almost equal between emergency and elective surgery. The mean (± SD) age of the study participants was 41.95±17.764. Only 19.7% of the study participants used AP correctly. The incidence rate of in-hospital SSI was 16.7% (45/269), which corresponds to 45/4736 or 9.5/1000 person-days. Independent predictors for SSI were American Society of Anesthesiology (ASA) class III-IV (p-value <0.0001), patients with age-adjusted Charlson co-morbidity index (CCI) of ≥1 score (p value=0.008), and incorrect use of AP (p-value =0.025). Conclusion: Incorrect antibiotic prophylaxis use contributed to an increased risk of SSI, which needs urgent attention in the present study area.