Kentucky Occupational Safety and Health Surveillance Program

肯塔基州（Ky）在非致命职业伤害率方面排名第12，在致命职业伤害率方面排名第20。 职业伤害/疾病。肯塔基州职业安全和健康监测（KOSHS）扩大 计划（KOSHS基本计划，以及死亡评估控制和评估[FACE]， 职业性机动车辆伤害监测（OMVIS）和药物相关工伤监测- LANCE [DAWRIS]扩大项目）侧重于以人群为基础和以病例为基础的与工作有关的监测， 在肯塔基州，东南部的HHS地区4州的伤害/疾病。具体目标是：（1）识别和访问多个 源KOSHS基本程序，以及FACE、OMVIS和DAWRIS扩展项目监测数据 和评估新的监测数据源的职业健康指标（OHI）; 2）管理和执行 对监测数据进行质量控制和监测质量改进; 3）计算20个CSTE/ NIOSH OHI， 13 Ky-specific OHI和Ky-employment profile; FACE、OMVIS和DAWRIS监测数据;发病率 和流行率;和趋势; 4）通过FACE现场调查进行基于病例的监测， 成人高血铅水平随访调查; 5）对KOSHS基础进行流行病学分析， 谈话、FACE、OMVIS和DAWRIS监测和调查数据; 6）传播公共卫生建议- 利用培训、报告、危险警报、出版物等，制定工作场所干预措施和政策; 应用通信技术，如网站、社交媒体、演示文稿、工具包、贸易 期刊和NIOSH OH信息交换所;以及与贸易的新的和现有的伙伴关系和合作 将KOSHS成果与合作伙伴的成果相结合的协会、国家机构、组织和NIOSH等。 干预和外联活动。KOSHS将参加受赠方会议和电话会议;以及7） 对KOSHS基本计划和FACE、OMVIS进行过程、影响和结果评估， 和DAWRIS扩展项目。特设KOSHS基本计划咨询工作组将成立， 按优先重点领域列出。新的KOSHS监测和研究领域包括工人死亡 使用EMS和综合征监测数据的工伤OHI;药物过量死亡 按行业划分;轻型、中型和重型车辆碰撞OHI;恢复友好型工作场所工具包;自卸卡车， 半卡车、行人和建筑工人的死亡;商用车碰撞高发地点， 率，比率和储蓄;与工作有关的老年驾驶员受伤;关于药物相关职业伤害的OHIs， 工伤后的死亡人数;根据受伤、残疾和 工作损失;职业伤害对随后致命的过量用药或致命的药物相关工伤的影响， 风险简介;以及评估涉及药物的工人受伤风险。先进的统计方法，如 将使用机器学习和概率数据链接。KOSHS团队与NIOSH的整合， NIOSH资助的项目、安全社区、CDC资助的项目和国家安全理事会正在计划中。

Kentucky (Ky) ranks as the 12th worst state for nonfatal occupational injury rates and the 20th worst for fatal occupational injuries/illnesses. The Ky Occupational Safety and Health Surveillance (KOSHS) expanded program (KOSHS fundamental program, and Fatality Assessment Control and Evaluation [FACE], Occupational Motor Vehicle Injury Surveillance [OMVIS], and Drug-Associated Work-Related Injury Surveil- lance [DAWRIS] expanded projects) focuses on population-based and case-based surveillance of work-related injuries/illnesses in Ky, a southeastern HHS Region 4 state. Specific aims are to: 1) identify and access multi- source KOSHS fundamental program, and FACE, OMVIS, and DAWRIS expanded project surveillance data and evaluate new surveillance data sources for occupational health indicators (OHI); 2) manage and perform quality control and surveillance quality improvement on surveillance data; 3) calculate 20 CSTE/ NIOSH OHIs, 13 Ky-specific OHIs, and Ky employment profile; FACE, OMVIS, and DAWRIS surveillance data; incidence and prevalence rates; and trends; 4) perform case-based surveillance through FACE onsite investigations and high adult blood lead level follow-up investigations; 5) conduct epidemiological analyses of KOSHS fundamen- tal, FACE, OMVIS, and DAWRIS surveillance and investigation data; 6) disseminate public health recommen- dations for workplace interventions and policies using trainings, reports, hazard alerts, publications, etc.; application of communication technologies such as websites, social media, presentations, toolkits, trade journals, and the NIOSH OH clearinghouse; and new and existing partnerships and collaborations with trade associations, state agencies, organizations, and NIOSH, etc. that integrate KOSHS results with partners’ intervention and outreach activities. KOSHS will participate in grantee meetings, and conference calls; and 7) perform a process, impact, and outcome evaluation of the KOSHS fundamental program, and FACE, OMVIS, and DAWRIS expanded projects. Ad hoc KOSHS fundamental program advisory work groups will be estab- lished by priority focus area. Novel KOSHS areas targeted for surveillance and research include worker deaths by suicides; OHIs on work-related injuries using EMS and syndromic surveillance data; drug overdose deaths by industry; light, medium, and heavy vehicle crash OHIs; a recovery-friendly workplace toolkit; dump truck, semi-truck, pedestrian worker, and construction worker fatalities; high commercial vehicle crash locations, rates, ratios, and savings; work-related older driver injuries; OHIs on drug-involved occupational injuries and fatalities after a work-related injury; estimates of drug overdose rates and times based on injury, disability, and loss of work; effect of occupational injuries on subsequent fatal overdose or fatal drug-related work injury and risk profiles; and assessment of drug-involved worker injury risk. Advanced statistical methodologies such as machine learning and probabilistic data linkage will be used. Integration of the KOSHS team with NIOSH and NIOSH-funded programs, Safe Communities, CDC-funded programs, and National Safety Council is planned.