Haramaya University College of Health and Medical Sciences, Institutional P.O. Box:235, CHMS, Harar, Ethiopia.
BMC Public Health. 2024 Nov 11;24(1):3108. doi: 10.1186/s12889-024-20571-0.
Hospital cleaners face a complex and varied work environment due to several potentially dangerous circumstances, including the risk of getting injured by sharp objects and being subjected to various ergonomic and physical risks. They thus acquire a combination or co-occurrence of outcomes associated to their line of work. In this study it stands for occurrence of occupational injuries and musculoskeletal disorders (MSDs) during study period, which has not been explored in developing countries like Ethiopia, particularly among hospital cleaners.
To assess the prevalence of co-occurrence of occupational outcomes and associated factors among hospital cleaners, Eastern Ethiopia.
A cross sectional study was conducted on 741 cleaners in eight hospitals in eastern Ethiopia from May, 2023 to 30th August, 2023. Face-to-face interview was conducted. The data quality was maintained by designing standard questions that preserved both external and internal validity. The entered data was exported from Epi-Data 3.1 to Stata 17MP. Descriptive statistic was used to characterize one variable, While, binary logistic regression was used to explore the relationship of the predictors. At binary analysis variables having a p-value of < 0.20 were candidates for multivariate logistic regression. The crude odds ratio and adjusted odds ratio (AOR) with a 95% confidence interval (CI) were presented. Those variables having < 0.05 were reported. The variance inflation factor used to test multicollinearity. While, Hosmer-Lemeshow goodness-of-fit-test was applied for model fit.
From total of 741 hospital cleaners, 679 (91.63%) of them were responded. The prevalence co-occurrence of occupational outcome among cleaners was 25.04% (95%CI: 21.82, 28.47). The multivariate logistic regression shows that those had workload (AOR:2.78, 95%CI: 1.25,6.17), those worked more than 8r/day (AOR:3.45, 95%CI:2.34,6.32), those have sleeping disorders (AOR: 4.61,95%CI: 2.89, 8.03), those had work stress (AOR:2.05, 95%CI:0.98,4.29), those highly exposed with hazards (AOR: 4.22, 95%CI:2.40, 7.45) and those had poor knowledge of risk (AOR:2.41, 95%CI:1.06, 5.50) were more likely increase the odds of co-occurrence of occupational outcome as compared to their counterparts.
The current study concluded that one-fourth of the co-occurrence of occupational outcomes was reported among hospital cleaners. The study also found that lack of supervision, workload, working more hours per a day, severely presence of occupational hazards, lack of regular job rotation, the sleeping disorders and having work stress all increased the odds of co-occurrence occupational outcome.
医院清洁工由于存在多种潜在危险情况,包括被锐器伤害的风险和受到各种人体工程学和物理风险的影响,他们面临着复杂多样的工作环境。因此,他们会出现与工作相关的各种结果的组合或同时发生。在这项研究中,它代表了研究期间发生的职业伤害和肌肉骨骼疾病(MSD),这在埃塞俄比亚等发展中国家,特别是在医院清洁工中尚未得到探索。
评估东埃塞俄比亚医院清洁工职业结果同时发生的流行率及其相关因素。
2023 年 5 月至 2023 年 8 月 30 日,在东埃塞俄比亚的 8 家医院对 741 名清洁工进行了横断面研究。进行了面对面访谈。通过设计既保留外部有效性又保留内部有效性的标准问题来维护数据质量。将输入的数据从 Epi-Data 3.1 导出到 Stata 17MP。使用描述性统计来描述一个变量,而二元逻辑回归用于探索预测因素的关系。在二元分析中,p 值<0.20 的变量是多变量逻辑回归的候选者。给出了粗比值比和调整比值比(AOR)及其 95%置信区间(CI)。报告了 p 值<0.05 的变量。使用方差膨胀因子来检验多重共线性。而霍斯默-莱梅肖拟合优度检验用于模型拟合。
在总共 741 名医院清洁工中,有 679 名(91.63%)做出了回应。清洁工职业结果同时发生的患病率为 25.04%(95%CI:21.82,28.47)。多变量逻辑回归显示,那些工作量大的人(AOR:2.78,95%CI:1.25,6.17),那些每天工作超过 8 小时的人(AOR:3.45,95%CI:2.34,6.32),那些有睡眠障碍的人(AOR:4.61,95%CI:2.89,8.03),那些有工作压力的人(AOR:2.05,95%CI:0.98,4.29),那些高度暴露于危险中的人(AOR:4.22,95%CI:2.40,7.45)和那些风险知识较差的人(AOR:2.41,95%CI:1.06,5.50)与他们的同行相比,更有可能增加职业结果同时发生的几率。
本研究得出结论,四分之一的医院清洁工同时发生了职业结果。该研究还发现,缺乏监督、工作量大、每天工作时间长、严重存在职业危害、缺乏定期轮班、睡眠障碍和工作压力都会增加职业结果同时发生的几率。