A Nurse-Community Health Worker-Family Partnership Model to Increase COVID-19 Testing in Urban Underserved and Vulnerable Communities

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3P30DA011041-23S1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    1998
    2022
  • Known Financial Commitments (USD)

    $3,643,065
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Holly C Hagan
  • Research Location

    United States of America
  • Lead Research Institution

    New York University
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Randomized Controlled Trial

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Minority communities unspecified

  • Occupations of Interest

    Nurses and Nursing StaffUnspecified

Abstract

PROJECT SUMMARY/ABSTRACT New York City (NYC) is a global epicenter of the SARS-CoV2/COVID-19 pandemic, with 223,000 cases and more than 25,000 deaths. Neighborhood-level disparities in cases and deaths in NYC can be explained by socioeconomic and racial/ethnic characteristics, where Latinx and Black New Yorkers and those living in highpoverty neighborhoods are 1.5 times more likely to test positive and more than twice as likely to die as a resultof COVID-19. The community of Mott Haven is located in the South Bronx - one of the poorest congressionaldistricts within the continental United States. Mott Haven is highly diverse (73% are Latinx and 24% are Black),and the COVID-19 mortality rate is higher than NYC as a whole - an epicenter within an epicenter. Yet, although Mott Haven is clearly a priority community for COVID-related prevention, detection, vaccination, and treatment initiatives, so far fewer than 2% of residents have been tested. COVID-19 secondary attack rates are highest in households, varying between 12 - 38%. This led us to propose a COVID-19 testing and mitigation intervention in public housing households in Mott Haven, which are characterized by crowding, intergenerational co-residence, and a high proportion of low wage "essential workers" who leave the home for work even during lockdown periods. We will evaluate the effectiveness of an innovative Nurse-Community Health Worker (CHW)-Family Partnership intervention designed to promote COVID-19 testing uptake, adoption of COVID-19 control measures, and mutual aid capacity at the household level. Our intervention is adapted from the Nurse-Family Partnership model, which has been shown to be effective and cost-effective in improving maternal and child health outcomes in high-poverty, racially- and ethnically-diverse communities. CHWs will provide culturally-appropriate support to families, addressing stigma, medical mistrust, and other common barriers to engagement in healthcare. We propose a 2-arm randomized controlled trial, in which 270 households (810 individuals) will be randomly assigned (2:1) to either the experimental group of families who will receive the Nurse-CHW-Family Partnership intervention and the offer of in-home testing and influenza vaccination, or the treatment-as-usual control group referred to free testing and flu vaccination located within walking distance. Participants in both arms will be assessed at baseline and monthly for 12 months. Findings from this study will provide an evidence-base to inform current and future public health initiatives related to COVID-19 mitigation in other high-risk settings. Sustainability will be addressed by building local capacity and expertise among participants, CHWs and CAB members, and partnering with them to develop the community's best practices for COVID-19. Should it prove to be effective, our intervention can be tailored to increase testing and other COVID-19 control measures in other settings of vulnerability and disadvantage.