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） 在纽约市（纽约市）公共交通中，在19日大流行期间，这是对 确保其他重要的工人可以从事工作。许多主要的种族和少数民族 运输工人在工作和家里都面临风险，因为许多工人也居住在高处 流行社区。大流行的推力过境工人扮演一线工人的角色，甚至 尽管他们缺乏通常提供的培训，经验，用品，设备和监督 传统的一线工人（即医疗保健和急救人员）。这项研究与 运输工人联盟（TWU），Local 100，旨在：（1）评估多种多样的累积影响 迄今为止，当前工人健康和韧性的水平干预措施； （2）开发和评估工人驱动的 危机管理模型，以促进工人的适应力作为大流行和政策反应的演变（例如， 恢复恢复的锁定；疫苗的部署）； （3）传播发现以提供输入 政策变化和操作，以保护大流行期间非医疗保健基本工人 专注于减少高风险人群的健康差异。 为了实现这些目标，我们建议对系统样本进行串行横截面调查 在TWU的后勤协助下，纽约市交通劳动力，代表近40,000台地铁和公共汽车 工人。随后的调查时间将是动态的，以捕获大流行和正在进行的实时转移 影响过境工人的政策和实践的变化。在第一阶段，我们将首先检查影响 多个实体已经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）纽约市的公共机构大都会运输管理局（MTA） 过境； （c）TWU提供了倡导，加强多层次干预，推荐和社会 支持。以新的大流行准备和韧性模型为指导，并由我们的数据告知 最近的公交工人试点研究，现有的多级干预措施将映射到NIMHD上 框架和评估以确定其对工人成果的影响（例如，感染，心理社会， 行为，人际关系，韧性），TWU干预的感知影响（例如倡导， 通过宣传教育和社会支持加强），并通过推荐的个人采用 旨在减轻社区和工作场所传播的实践。我们将检查潜在的调节 年龄，性别/性别，种族，种族和工人职业特征的影响。最初和 随后的调查数据将告知正在进行的参与式行动研究（PAR）团队 学术界，工人和其他主要利益相关者，他们将制定数据驱动策略以增加 面对转移时，多层次干预措施的有效性和进一步支持工人的韧性 大流行事件。结果将被广泛传播，以告知研究结果所建议的政策变化。