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Tensions and opportunities in the roles of senior public health officials in Canada: A qualitative study

2022· article· en· W4286251918 on OpenAlexafffundabout
Adèle Cassola, Patrick Fafard, Ranjana Nagi, Steven J. Hoffman

Bibliographic record

VenueHealth Policy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsImpactMcMaster UniversityYork UniversityUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsPublic healthGovernment (linguistics)Public relationsPublic administrationPolitical scienceQualitative researchPosition (finance)SociologyBusinessMedicineNursing

Abstract

fetched live from OpenAlex

Although public health emergencies like the COVID-19 pandemic thrust senior public health officials into the spotlight, their day-to-day roles remain misunderstood and under-examined. In jurisdictions that follow the Westminster system of government such as Canada, the United Kingdom, and Australia, Chief Medical Officers of Health (CMOHs) are typically senior public servants who are simultaneously positioned as public health professionals with independent expertise, senior advisors to an elected government, and designated protectors of the public health interest. Using Canada's federal and provincial CMOHs as case studies of this role in Westminster governments, we analyzed in-depth key informant interview data to examine how CMOHs navigate the tensions among their duties to the government, profession, and public in order to maximize their public health impact. We demonstrate that CMOHs are variously called upon to be government advisors, public health managers, and public communicators, and that the different emphasis that jurisdictions place on these roles shapes the tools and pathways through which CMOHs can influence government action and public health. We also elucidate the tensions associated with having CMOHs positioned within the senior levels of the public service and the strategies these officials use to balance their internal- and external-facing roles. Finally, we highlight the trade-offs among different institutional design options to inform decisions about the structure of the CMOH position in different contexts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.398
GPT teacher head0.565
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2022
Admission routes3
Has abstractyes

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