Mark Misener, MD, is Field Operations Medical Specialist; David T. Starr, MIA, is Assistant Commissioner, Bureau of Emergency Field Operations; and Allison J. Scaccia, NP, is Director, Clinical Planning Unit; all in the Office of Emergency Preparedness and Response, New York City Department of Health and Mental Hygiene, Long Island City, New York. Vibhuti Arya, PharmD, is Associate Clinical Professor, College of Pharmacy and Health Sciences, St. John's University, Queens, New York.
Health Secur. 2018 Jul/Aug;16(4):274-279. doi: 10.1089/hs.2018.0025.
Individuals exposed to spores of B. anthracis must take a course of antibiotics as postexposure prophylaxis (PEP) to prevent inhalation anthrax. During an anthrax event, public health authorities are responsible for conducting dispensing operations to offer PEP to exposed individuals. Jurisdictions have developed antibiotic PEP screening algorithms to determine which antibiotic is appropriate for each individual. Variability exists with regard to screening questions and dispensing decisions based on responses to those questions. It is likely that individuals with similar profiles will receive different antibiotics based solely on the jurisdiction in which they receive their PEP. This lack of consistency among jurisdictions may lead to a loss of confidence in the public health response among the public, the healthcare community, the media, and government leaders, which could compromise the response itself. We present New York City's planning assumptions, screening algorithm, a rationale for our screening questions, and our reasons for excluding screening questions asked by other jurisdictions. We hope that our efforts may assist others in developing and refining their algorithms and associated public messaging and encourage standardization with neighboring jurisdictions where appropriate.
接触炭疽芽孢杆菌孢子的个体必须服用抗生素作为接触后预防(PEP),以预防吸入性炭疽。在炭疽事件中,公共卫生部门负责开展配药行动,为接触者提供 PEP。各管辖区制定了抗生素 PEP 筛选算法,以确定哪种抗生素适合每个个体。根据对这些问题的回答,筛选问题和配药决策存在差异。很可能仅基于个体接受 PEP 的管辖区,具有相似特征的个体将接受不同的抗生素。这种管辖权之间缺乏一致性可能会导致公众、医疗保健界、媒体和政府领导人对公共卫生应对措施失去信心,这可能会影响应对措施本身。我们介绍了纽约市的规划假设、筛选算法、筛选问题的基本原理以及排除其他管辖区提出的筛选问题的原因。我们希望我们的努力可以帮助其他人开发和完善他们的算法以及相关的公众信息,并鼓励在适当的情况下与邻近管辖区实现标准化。