Increased Bloodborne Pathogen Exposure Hotline Utilization During the COVID-19 Pandemic: An Unexpected Phenomenon

Matthew Kiok,Sandeep Guntur,Paul D Blanc, Olga Lozato, Grace Domingo,Robert Kosnik, Chika E Ugbaja, Noreen Chan, Alan Ramos,Sandra Domeracki

WORKPLACE HEALTH & SAFETY(2022)

引用 0|浏览0
暂无评分
摘要
Background: Mitigating bloodborne pathogen exposure (BBPE) risk among healthcare workers is a major focus of hospital-based occupational health programs. The COVID-19 pandemic has placed added demands on occupational health services for healthcare workers. Its impact on BBPE incidence is unreported. Methods: As part of quality improvement efforts, we examined BBPE case incidence at two affiliated health centers during a 24-month period, 12 months preceding and following the COVID-19 pandemic onset. We used Year 1 to Year 2 change in incidence at the larger health center as the referent value to generate predicted incidence rates at the study health center. We tested the ratio of observed to predicted values at the study health center as a Poisson variable to its expectation. We defined a BBPE consistent with the Occupational Safety and Health Administration (OSHA) Bloodborne Pathogens Standard. Results: The BBPE case incidence at Health Center One (HC1), totaled 46 cases in Year 1, increasing 19% to 55 cases in Year 2. The cumulative incidence at Health Center Two (HC2), the referent facility, was 664 cases in Year 1, declining 24% to 503 in Year 2. The ratio of 55 events at HC1 to the expected incidence of 35, based on the experience at HC2, was 1.6 (p < .05). Discussion/Applications to Practice: The incidence of BBPE events at HC1 paradoxically increased during the COVID-19 pandemic, contrasting to the expected decrease that we observed at HC2. These data suggest that during times of increased stress to employee healthcare delivery from an infectious disease outbreak, the burden of ongoing practice demands may increase.
更多
查看译文
关键词
bloodborne pathogen exposure, sharp injury, needlestick, COVID-19, employee health, healthcare workers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要