Fisha Kidanie, Azage Muluken, Mulat Getasew, Tamirat Koku Sisay
Feleghiwote Comprehensive Specialized Hospital, Bahir Dar, Ethiopia.
2School of Public Health College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Patient Saf Surg. 2019 Jul 10;13:26. doi: 10.1186/s13037-019-0206-4. eCollection 2019.
Healthcare-associated illnesses, of which surgical site infection is the most common are significant causes of morbidity and mortality. Therefore, this study aimed to determine the prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia.
An institution based retrospective observational cohort study was conducted among patients who underwent surgical procedures at public and private health facilities from March 15 to April 15, 2018. Samples were selected by the simple random sampling technique, and data extracted from the patient's medical chart, operation, and anesthesia notes. Data were entered using Epi info version 7 and analyzed using STATA 14. Binary logistic regression was fitted to identify factors associated with surgical site infections in private and public hospitals. Crude and adjusted odds ratios (OR) with a 95% confidence interval (CI) were computed to assess the strength of associations. Variables with a -value less than 0.05 in the multivariable logistic regression model considered as significant predictors of surgical site infections.
The overall prevalence of surgical site infections was 9.9% (95%CI: 7.8, 12.5). The prevalence of the infections was higher in procedures performed in public hospitals (13.4%) compared to private hospitals (6.5%). Rural residence (AOR = 0.13, 95%CI: 0.034 0.55), clean-contaminated and dirty wound (AOR = 12.81, 95%CI: 4.42 37.08) were significant predictors of the infections in private hospitals. Similarly, clean-contaminated and dirty wounds (AOR = 4.37, 95%CI: 1.88 10.14), length of hospital stay≥6 days (AOR = 2.86, 95%CI: 1.11 7.33), and surgical operation time of over 1 h (AOR = 15.24, 95%CI: 4.48 51.83) were such factors in public hospitals.
The prevalence of surgical site infections was high, and significant differences were also observed between public and private hospitals. Clean-contaminated and dirty wounds, prolonged operation, and length of hospital stay were predictors of surgical site infections among patients in public hospitals, whereas clean-contaminated wound and rural dwellings were predicted the infections among patients operated in the private hospital.
医疗保健相关疾病是发病和死亡的重要原因,其中手术部位感染最为常见。因此,本研究旨在确定埃塞俄比亚公立医院与私立医院手术部位感染的患病率及根本原因。
于2018年3月15日至4月15日对在公立和私立医疗机构接受手术的患者进行了一项基于机构的回顾性观察队列研究。采用简单随机抽样技术选取样本,并从患者的病历、手术和麻醉记录中提取数据。使用Epi info 7版录入数据,并使用STATA 14进行分析。采用二元逻辑回归来确定私立和公立医院中与手术部位感染相关的因素。计算粗比值比和调整比值比(OR)以及95%置信区间(CI)以评估关联强度。在多变量逻辑回归模型中,P值小于0.05的变量被视为手术部位感染的显著预测因素。
手术部位感染的总体患病率为9.9%(95%CI:7.8,12.5)。与私立医院(6.5%)相比,在公立医院进行的手术中感染患病率更高(13.4%)。农村居民(调整后比值比=0.13,95%CI:0.034,0.55)、清洁-污染和污染伤口(调整后比值比=12.81,95%CI:4.42,37.08)是私立医院感染的显著预测因素。同样,清洁-污染和污染伤口(调整后比值比=4.37,95%CI:1.88,10.14)、住院时间≥6天(调整后比值比=2.86,95%CI:1.11,7.33)以及手术时间超过1小时(调整后比值比=15.24,95%CI:4.48,51.83)是公立医院的此类因素。
手术部位感染的患病率较高,公立医院和私立医院之间也存在显著差异。清洁-污染和污染伤口、手术时间延长以及住院时间是公立医院患者手术部位感染的预测因素,而清洁-污染伤口和农村居住情况是私立医院手术患者感染的预测因素。