巴东市中心医院COVID-19危险因素的定量研究

R. Martini, Dorisnita, Hartati
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引用次数: 0

摘要

目的:根据各种因素估计医院工作人员COVID-19感染的流行情况。此外,它还试图确定任何预测该人群感染概率较高的因素。方法:对印度尼西亚巴东市中心医院的医务人员和非医务人员(n=129)进行描述性研究。采用卡方检验分析确定研究变量之间的相互关系程度,同时采用比值比(OR)检验确定更多潜在类别。结果:31.8%的受访者新冠病毒检测呈阳性,尽管这一发现不显著(p>0.05)。OR方面,计算如下概率:年龄(OR=1.0 [0.36-2.88]);病史(OR=1.3 [0.23-2.0]);高等教育(OR=1.9 [0.2-17.6]);戴好口罩(OR=0.7 [0.07-7.02]);勤洗手(OR=1.8 [0.46-7.07]);保持良好的身体距离(OR=1.8 [0.46-7.07]);良好的个人防护装备(OR=0.7 [0.07-7.02]);正常的抑郁、焦虑和压力(OR<1.0);合并症(OR=1,2[0.46-3.06])。结论:所研究因素与COVID-19感染无显著关系。然而,还有更多的潜在趋势,特别是在受过高等教育的医疗团队中,不戴口罩,吸烟,从事剧烈活动,心理不良以及合并症。这些发现应促使负责开发资源和干预措施的政策制定者在COVID-19大流行期间更加关注医务人员和非医务人员的需求,特别是口罩的供应情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Factors for COVID-19: A Quantitative Study Conducted at Padang City Center Hospital
Objective: This study sought to estimate the prevalence of COVID-19 infection among hospital staff according to various factors. Moreover, it sought to identify any factors that predicted a higher probability of infection in this population. Methods: This descriptive research was conducted among medical and non-medical personnel at Padang City Center Hospital, Indonesia (n=129). A chi-square test analysis was used to determine the degree of interrelationship between the studied variables, while an odds ratio (OR) test was performed to identify more potential categories. Results: Some 31.8% of respondents tested positive for COVID-19, although this finding was insignificant (p>0.05). In terms of the OR, the following probabilities were calculated: age (OR=1.0 [0.36–2.88]); medical history (OR=1.3 [0.23–2.0]); higher education (OR=1.9 [0.2–17.6]); wearing a good mask (OR=0.7 [0.07–7.02]); good hand washing (OR=1.8 [0.46–7.07]); good physical distancing (OR=1.8 [0.46–7.07]); good personal protective equipment (OR=0.7 [0.07–7.02]); normal depression, anxiety, and stress (OR<1.0); and comorbidity (OR=1,2 [0.46-3.06]). Conclusion: No significant relationship was found between the studied factors and COVID-19 infection. However, there were more potential trends, especially for highly educated medical teams, not wearing a mask, smoking, engaging in strenuous activity, poor psychology, and comorbidity. These findings should prompt policymakers tasked with developing resources and interventions to pay more attention to the needs of medical and non-medical staff during the COVID-19 pandemic, especially the availability of masks.
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