Healthcare Waste Management Practice and Associated Factors among Private and Public Hospitals of Bahir Dar City Administration

• Published in: Journal of environmental and public health Vol. 2020; no. 2020; pp. 1 - 10
• Main Authors: Bantie, Getasew Mulat, Gelaw, Yared Mulu, Tafere, Tadese Ejigu, Assemu, Dereje Mesfin
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Adult; Cities; Comparative analysis; Computer programs; Cross-Sectional Studies; Data collection; Developing countries; Ethiopia; Female; Goodness of fit; Health care; Health facilities; Health Knowledge, Attitudes, Practice; Health Personnel - statistics & numerical data; Health services; Hospitals; Hospitals, Private; Hospitals, Public; Humans; LDCs; Logistic Models; Male; Medical personnel; Medical Waste Disposal - standards; Medical Waste Disposal - statistics & numerical data; Medical wastes; Public health; Questionnaires; Random sampling; Refuse and refuse disposal; Regression analysis; Regression models; Sample size; Sociodemographics; Software; Statistical analysis; Statistical sampling; Variables; Waste management; Workers; Young Adult; Ethiopia; Cities; Nigeria
• DOI: 10.1155/2020/7837564
• ISSN: 1687-9805

Background. Lack of an appropriate management practice of healthcare waste is a potential threat to the healthcare workers, patients, and nearby communities of the health institutions. Objective. The study aimed to assess the healthcare waste management practices (HCWMP) and associated factors among healthcare workers of private and public hospitals of Bahir Dar city administration, Ethiopia. Methods. A facility-based comparative cross-sectional study was conducted from January 2016 to April 2017. The systematic random sampling technique was employed to recruit 460 healthcare workers. The collected data entered into the EpiData software (version 3.1). The analysis was done by using SPSS software (version 20). Descriptive statistics were computed; logistic regression model was run. The model fitness was checked using Hosmer and Lemeshow goodness of fit p>0.05. A p value of <0.2 at univariate analysis was included in the multivariable logistic regression analysis. Variables with a p value of <0.05 were statistically associated with healthcare waste management practice at 95% CI (AOR). Results. A total of 418 healthcare workers who participated in the study yielded a response of 90.9%. About 65% (95% CI: 61, 70) of the total respondents had good practice of healthcare waste management. More private hospitals, 79.2% (95% CI: 73, 85), had good healthcare waste management practice compared to public hospitals, 53.5% (95% CI: 47, 60). Male healthcare workers (AOR = 6. 43, 95% CI: 1.82, 22.77) and having a functional healthcare waste management committee (AOR = 6. 47, 95%CI: 1.93, 21.76) were significantly associated with HCWMP at private hospitals. For public hospitals, having a healthcare waste management committee (AOR = 1. 80, 95% CI: 1.03, 3.15) and a manual/guideline on HCWMP (AOR = 2. 43, 95% CI: 1.20, 4.91) was significantly associated with HCWMP. Conclusions. This study revealed there is a great discrepancy in HCWMP between private and public hospitals. Male healthcare workers and having a functional healthcare waste management committee and a manual/guideline were the identified factors of HCWMP.