NYC Transit Workers and COVID-19: Impact of Multilevel Interventions

纽约市交通工人和 COVID-19：多级干预措施的影响

• 批准号: 10490374
• 负责人: ROBYN R.M. GERSHON
• 金额: $ 70.24万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-17 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10490374
• 关键词: Address; Adoption; Advocacy; Behavioral; COVID-19; COVID-19 health disparity; COVID-19 impact; COVID-19 intervention; COVID-19 pandemic; Cessation of life; Characteristics; Charge; Cities; Collaborations; Communities; Community Workers; Commuting; Conflict (Psychology); Cross-Sectional Studies; Data; Development; Education and Outreach; Effectiveness; Employment; Equipment; Essential worker; Ethnic Origin; Event; Exposure to; Family member; Federal Government; Friends; Frontline worker; Gender; General Population; Goals; Government Agencies; Health; Health behavior; Healthcare; High Prevalence; Home; Individual; Infection; Interpersonal Relations; Intervention; Leadership; Local Government; Logistics; Maps; Masks; Measures; Mental Health; Modeling; National Institute on Minority Health and Health Disparities; New York City; Occupational; Occupations; Outcome; Personal Satisfaction; Phase; Pilot Projects; Policies; Psychological reinforcement; Psychosocial Factor; Public Health; Quarantine; Race; Reduce health disparities; Reporting; Research; Research Methodology; Risk; Risk Reduction; Role; SARS-CoV-2 infection history; Safety; Sampling; Self Efficacy; Services; Social Distance; Social support; State Government; Stigmatization; Subway; Supervision; Surveys; System; Time; Training; Transportation; Update; Vaccines; Verbally abusive behavior; Virus; Work; Workplace; age effect; anxious; authority; community based participatory research; community engaged research; coronavirus disease; design; ethnic minority; experience; first responder; health disparity; high risk; high risk population; hospitalization rates; infection rate; member; metropolitan; operation; pandemic disease; pandemic preparedness; physical assault; professional atmosphere; protective behavior; psychosocial; racial and ethnic; racial minority; resilience; response; risk mitigation; sex; uptake; vaccine distribution

SUMMARY (ABSTRACT) During the COVID-19 pandemic, New York City (NYC) public transportation has been an essential service to assure that other essential workers can get to their jobs. Many of the predominantly racial and ethnic minority transit workers have been exposed to risks at both work and at home, as many workers also reside in high prevalence communities. The pandemic thrust transit workers into the role of frontline workers, even though they lacked the training, experience, supplies, equipment, and supervision typically provided for traditional frontline workers (i.e., health care and first responders). This study, conducted in partnership with the Transport Workers Union (TWU), Local 100, is designed to: (1) evaluate the cumulative impact of multi- level interventions to date on current worker health and resilience; (2) develop and assess a worker-driven model of crisis management to facilitate worker resilience as the pandemic and policy responses evolve (e.g., restore lock-down with resurgence; deployment of vaccine); and (3) disseminate findings to provide input into policy changes and operations to protect non-healthcare essential workers during pandemic events with a focus to decrease health disparities in high-risk populations. To achieve these aims, we propose to conduct serial cross-sectional surveys of a systematic sample of the NYC transit workforce, with the logistical assistance of TWU, representing nearly 40,000 subway and bus workers. Timing of subsequent surveys will be dynamic to capture real-time shifts in the pandemic and ongoing changes in policies and practices that impact transit workers. In the first phase, we will first examine the impact of multilevel interventions already implemented by several entities, including: (a) federal, state, and local governments and agencies; (b) the Metropolitan Transit Authority (MTA), the public authority in charge of NYC Transit; and (c) TWU, which provided advocacy, reinforcement of multilevel interventions, referrals, and social support. Guided by a new Pandemic Preparedness and Resilience model and informed by data from our recent transit workers pilot study, the existing multilevel interventions will be mapped onto the NIMHD framework and evaluated to determine their impact on workers’ outcomes (e.g., infection, psychosocial, behavioral, interpersonal relations, resilience), perceived impact of TWU interventions (e.g., advocacy, reinforcement with outreach for education and social support), and individual adoption of recommended practices designed to mitigate community and workplace spread. We will examine potentially moderating effects of age, sex/gender, race, ethnicity, and occupational characteristics of the workers. Initial and subsequent survey data will inform ongoing Participatory Action Research (PAR) teams comprised of academics, workers and other key stakeholders who will formulate data-driven strategies to increase effectiveness of the multilevel interventions and further support worker resilience in the face of shifting pandemic events. Results will be widely disseminated to inform policy changes suggested by study findings.

摘要（摘要） 在 COVID-19 大流行期间，纽约市 (NYC) 的公共交通一直是人们的一项重要服务 确保其他重要工作人员能够继续工作。许多以种族和族裔为主的人 交通工人在工作和家庭中都面临风险，因为许多工人也居住在高海拔地区 流行社区。大流行将交通工人推向了一线工人的角色，甚至 尽管他们缺乏通常提供的培训、经验、物资、设备和监督 传统的一线工作人员（即医疗保健人员和急救人员）。这项研究是与 运输工人工会 (TWU)（Local 100）旨在：(1) 评估多重影响的累积影响 迄今为止对当前工人健康和复原力的干预措施水平； (2) 制定和评估工人驱动的 随着流行病和政策应对措施的发展，危机管理模型可提高工人的复原力（例如， 恢复封锁并复苏；部署疫苗）； (3) 传播调查结果以提供意见 政策变化和行动，以在大流行事件期间保护非医疗保健基本工作人员 重点减少高危人群的健康差距。 为了实现这些目标，我们建议对系统样本进行系列横断面调查 纽约市交通劳动力在 TWU 的后勤协助下，代表近 40,000 辆地铁和公交车 工人。后续调查的时间将是动态的，以捕捉大流行和持续发生的实时变化 影响交通工人的政策和做法的变化。第一阶段，我们首先考察影响 多个实体已实施的多层次干预措施，包括： (a) 联邦、州和地方 政府和机构； (b) 大都会交通管理局 (MTA)，负责纽约市的公共机构 过境； (c) TWU，提供宣传、加强多层次干预、转介和社会服务 支持。以新的流行病防范和恢复力模型为指导，并以我们的数据为依据 最近的交通工人试点研究，现有的多层次干预措施将映射到 NIMHD 框架并进行评估以确定其对工人结果的影响（例如感染、心理社会、 行为、人际关系、复原力）、TWU 干预措施的感知影响（例如宣传、 加强教育和社会支持），以及个人采用推荐的 旨在减轻社区和工作场所传播的做法。我们将研究潜在的缓和因素 工人的年龄、性别、种族、民族和职业特征的影响。初始和 后续调查数据将为正在进行的参与行动研究 (PAR) 团队提供信息，该团队包括 学者、工人和其他主要利益相关者将制定数据驱动的战略，以提高 多层次干预措施的有效性，并进一步支持工人面对变化时的复原力 流行病事件。结果将广泛传播，以告知研究结果所建议的政策变化。