Red Cross health workers and the continuity of care in the COVID-19 pandemic: A mixed methods operational approach

  • Funded by Institut Pasteur International Network (IPIN)
  • Total publications:0 publications

Grant number: 148815

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Key facts

  • Disease

    COVID-19
  • start year

    2020
  • Funder

    Institut Pasteur International Network (IPIN)
  • Principal Investigator

    Tamara Giles-Vernick
  • Research Location

    N/A
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Health PersonnelVolunteers

Abstract

About Voluntary organizations provide essential support to vulnerable populations and front-line health responders to the COVID-19 pandemic. The French Red Cross (FRC) is prominent among organizations offering health and support services in the current crisis. Understood primarily of lay volunteers and some trained health workers, FRC volunteers in the Paris (France) region have faced challenges in adapting to pandemic conditions, working with sick and vulnerable populations, managing limited resources, and coping with high demand for their services. Existing studies focus on individual, social and organizational determinants of motivation, but expect less to contextual ones. Public health uncertainty about the COVID-19 pandemic is an important feature of this pandemic. Whether and how uncertainty interacts with volunteer understandings and experiences of their work and organizational relationships to contribute to Red Cross worker motivation is the focus of this investigation. This mixed-study investigates volunteer and worker motivation using anthropological methods and social network analysis.