SURVEILLANCE METHODS FOR HEALTH CARE AND RELATED WORKERS

描述：NIOSH已将卫生保健工作者(HCW)确定为特殊 职业病和伤害的高危人群。劳工局 统计数据估计，美国有超过800万名工人 医疗保健行业。卫生保健工作者参与了非常不同的 职能和职责可能会使他们面临许多危险，如有毒物质 化学品、感染剂(例如，血液传播和身体物质暴露于 细菌、病毒、真菌和寄生虫)、乳胶、人体工学危害、工作场所 暴力，与工作相关的压力，以及身体因素。相对较小的伤害 并且存在针对医护人员的疾病监测数据。 这项研究的主要目标是开发一个全面的系统 卫生保健工作者的健康、伤害和危险监测。这将是 通过将基于人口的数据和基于案例的数据结合起来实现。一个 将制定工作暴露矩阵，用于危险监测和 通过与每个工人的工作联系来估计个人接触 历史。监测系统将使用分析工具对队列数据进行分类 研究工伤和健康状况的发生率和原因， 高危人群的识别和适当的预防 措施。这些数据将通过使用基于案例的数据加以补充， 允许更详细地跟踪一组 对医护人员的关注。需要通过以下方式处理的特定条件 以病例为基础的监测将包括患者搬运和处理伤害， 其他非传染性职业伤害、乳胶过敏、职业性哮喘、 和工作相关的压力。该制度将实施5年 对杜克大学雇用的10,000多名医护人员的监测 大学卫生系统(DUHS)，其中包括杜克大学医学院 中心，一家大型教学医院，达勒姆地区医院，一家社区 以医院为基地。DUHS的其他组成部分包括位于北卡罗来纳州8个州的20家诊所。 县，三角临终关怀中心和杜克输血中心。虽然我们会 在这种情况下评估系统的效用，项目的目标是 定义模型监督的要素和性能特征 该系统可用于其他医疗保健机构。评选结果 以病例为基础的监测工作也将在医疗保健中得到广泛应用 工人们。

DESCRIPTION: NIOSH has identified health care workers (HCW) as a special population at high risk of occupational disease and injury. The Bureau of Labor Statistics estimates that there are over eight million workers employed in US health care industries. Health care workers are involved in very diverse functions and duties that may expose them to many hazards such as toxic chemicals, infectious agents (e.g., blood borne and body substance exposures to bacteria, viruses, fungi, and parasites), latex, ergonomic hazards, workplace violence, work related stress, and physical agents. Relatively little injury and disease surveillance data exists for health care workers. The major objective of this research is to develop a comprehensive system for health, injury, and hazard surveillance of health care workers. This will be accomplished through the combination of population-based and case-based data. A job-exposure matrix will be developed for hazard surveillance and for estimation of individual exposures through linkage with each worker's job history. The surveillance system will use analytical tools for cohort data to study the incidence and causes of work related injuries and health conditions, the identification of high risk populations, and appropriate prevention measures. These data will be supplemented by the use of case-based data, allowing more detailed follow-up of a group of 'sentinel health events' of concern for health care workers. Specific conditions to be addressed by case-based surveillance will include patient lifting and handling injuries, other noninfectious occupational injuries, latex allergy, occupational asthma, and work-related stress. The system will be implemented for 5 years of surveillance of a cohort of over 10,000 health care workers employed by Duke University Health systems (DUHS), which includes Duke University Medical Center, a large teaching hospital, and Durham Regional Hospital, a community based hospital. Other components of DUHS include 20 clinics located in 8 N.C. counties, triangle Hospice, and the Duke Infusion Center. While we will evaluate the utility of the system in this setting, the goal of the project is to define elements and performance characteristics of a model surveillance system which could be used in other health care institutions. Results of the case-based surveillance effort also will have broad application to health care workers.