How did Ontario healthcare institutions implement and legitimize Covid-19 vaccine mandates? A mixed-methods study protocol
Chaufan, C.
Show abstract
BackgroundUpon the WHO declaration of COVID-19 as a pandemic, healthcare workers (HCWs) - unvaccinated by necessity - were celebrated as "heroes" for their service under difficult conditions. Later, as some of them resisted vaccine mandates, they were reframed as "threats", regardless of personal behaviour, workplace setting, or evidence of their harmfulness. This discursive shift and the institutional mechanisms supporting it remain underexamined. GoalThis protocol outlines a mixed-method study investigating the implementation of COVID-19 vaccine mandates in medical establishments across Ontario, Canada. MethodsThis is a two-phase mixed methods planned study. Phase 1 is an environmental scan of institutional vaccine mandate policies across a purposive sample of diverse Ontario medical establishments. It will track policy implementation timelines, mandates scope, exemptions eligibility criteria, and supporting scientific evidence presented. Phase 2 is a critical interpretive analysis of documents collected in Phase 1 that draws on Max Webers theory of bureaucracy and legitimacy, Carol Bacchis "What Is the Problem Represented to Be" (WPR) approach, and Brian Martins framework on suppression of dissent to identify patters in the institutional framing and treatment of challenges to mandated vaccination. Expected OutcomesThis study is expected to yield descriptive and interpretive insights into how bureaucratic structures shaped mandate enforcement and dissent suppression. Results are expected to inform academic debates on institutional legitimacy, governance, and public health ethics.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cross-sector Decision Landscape in Response to COVID-19: A Qualitative Analysis of North Carolina Decision-Makers 93%
- Healthcare workers’ perceptions and medically approved COVID-19 infection risk: understanding the mental health dimension of the pandemic. A German hospital case study 92%
- Agility and sustainability: A qualitative evaluation of COVID-19 Non-pharmaceutical Interventions (NPIs) in the UK logistics sector 91%
Similar papers in this journal
- Ethnicity and COVID-19 outcomes among healthcare workers in the United Kingdom: UK-REACH ethico-legal research, qualitative research on healthcare workers’ experiences, and stakeholder engagement protocol 93%
- How can rural community-engaged health services planning affect sustainable health care system changes? - A process description and qualitative analysis of data from the Rural Coordination Centre of British Columbia’s Rural Site Visits Project 93%
- Conceptualizing centers of excellence: A global evidence 92%
Similar papers in this journal
- Understanding the influence of leadership, organisation, and policy on delivering an integrated child health and social care service in community settings: A qualitative exploration using the SELFIE framework 91%
- Staff experiences and perspectives of delivering an integrated child health and social care service in community settings: A qualitative exploration using the SELFIE framework 90%
- Do Faster-Trained Physicians Fill the Gaps? Geographic Concentration of Emergency Medicine physicians with different postgraduate training in Ontario Canada 88%
Similar papers in this journal
- ‘Leading from the front’ implementation strategies increase the success of influenza vaccination drives among healthcare workers: A reanalysis of Systematic Review evidence using Intervention Component Analysis (ICA) and Qualitative Comparative Analysis (QCA) 93%
- Revisiting the use and effectiveness of patient-held records in rural Malawi 91%
- Health professionals beliefs and attitudes towards preconception care: A systematic review 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.