Development of a primary care pandemic plan informed by in-depth policy analysis and interviews with family physicians across Canada during COVID-19: a qualitative case study protocol
Bibliographic record
Abstract
INTRODUCTION: Given the recurrent risk of respiratory illness-based pandemics, and the important roles family physicians play during public health emergencies, the development of pandemic plans for primary care is imperative. Existing pandemic plans in Canada, however, do not adequately incorporate family physicians' roles and perspectives. This policy and planning oversight has become increasingly evident with the emergence of the novel coronavirus disease, COVID-19, pandemic. This study is designed to inform the development of pandemic plans for primary care through evidence from four provinces in Canada: British Columbia, Newfoundland and Labrador, Nova Scotia, and Ontario. METHODS AND ANALYSIS: We will employ a multiple-case study of regions in four provinces. Each case consists of a mixed methods design which comprises: (1) a chronology of family physician roles in the COVID-19 pandemic response; (2) a provincial policy analysis; and (3) qualitative interviews with family physicians. Relevant policy and guidance documents will be identified through targeted, snowball and general search strategies. Additionally, these policy documents will be analysed to identify gaps and/or emphases in existing policies and policy responses. Interviews will explore family physicians' proposed, actual and potential roles during the pandemic, the facilitators and barriers they have encountered throughout and the influence of gender on their professional roles. Data will be thematically analysed using a content analysis framework, first at the regional level and then through cross-case analyses. ETHICS AND DISSEMINATION: Approval for this study has been granted by the Research Ethics of British Columbia, the Health Research Ethics Board of Newfoundland and Labrador, the Nova Scotia Health Authority Research Ethics Board and the Western University Research Ethics Board. Findings will be disseminated via conferences and peer-reviewed publications. Evidence and lessons learnt will be used to develop tools for government ministries, public health units and family physicians for improved pandemic response plans for primary care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".