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Overcoming the Digital Divide in the Post-COVID-19 "Reset": Enhancing Group Virtual Visits with Community Health Workers.
Shah, Megha K; Gibbs, Ashley Christina; Ali, Mohammed K; Narayan, K M Venkat; Islam, Nadia.
  • Shah MK; Department of Family and Preventive Medicine, School of Medicine, Emory University, Dunwoody, GA, United States.
  • Gibbs AC; Department of Family and Preventive Medicine, School of Medicine, Emory University, Dunwoody, GA, United States.
  • Ali MK; Department of Family and Preventive Medicine, School of Medicine, Emory University, Dunwoody, GA, United States.
  • Narayan KMV; Hubert Department of Global Health, Emory Rollins School of Public Health, Emory University, Atlanta, GA, United States.
  • Islam N; Hubert Department of Global Health, Emory Rollins School of Public Health, Emory University, Atlanta, GA, United States.
J Med Internet Res ; 23(7): e27682, 2021 07 08.
Article in English | MEDLINE | ID: covidwho-1278297
ABSTRACT
The COVID-19 pandemic created numerous barriers to the implementation of participant-facing research. For most, the pandemic required rapid transitioning to all virtual platforms. During this pandemic, the most vulnerable populations are at highest risk of falling through the cracks of engagement in clinical care and research. Nonetheless, we argue that we should reframe the discussion to consider how this transition may create opportunities to engage extensively to reach populations. Here, we present our experience in Atlanta (Georgia, United States) in transitioning a group visit model for South Asian immigrants to a virtual platform and the pivotal role community members in the form of community health workers can play in building capacity among participants. We provide details on how this model helped address common barriers to group visit models in clinical practice and how our community health worker team innovatively addressed the digital challenges of working with an elderly population with limited English proficiency.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Community Health Workers / Asian People / Emigrants and Immigrants / Pandemics / Digital Divide / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 27682

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Community Health Workers / Asian People / Emigrants and Immigrants / Pandemics / Digital Divide / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 27682