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Record W2098230684 · doi:10.1186/1478-4491-12-13

Public health human resources: a comparative analysis of policy documents in two Canadian provinces

2014· article· en· W2098230684 on OpenAlex
Sandra Regan, Marjorie MacDonald, Diane Allan, Cheryl Martin, Nancy Peroff-Johnston

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Resources for Health · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsMinistry of Health and Long Term CareMinistry of HealthUniversity of VictoriaWestern University
FundersCanadian Institutes of Health ResearchPublic Health AgencyPublic Health Agency of Canada
KeywordsPublic healthHealth human resourcesHealth policyPublic relationsGovernment (linguistics)Thematic analysisPopulation healthHealth promotionHealth services researchWorkforceHuman resourcesInternational healthPolitical sciencePublic administrationMedicineSociologyQualitative researchNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Amidst concerns regarding the capacity of the public health system to respond rapidly and appropriately to threats such as pandemics and terrorism, along with changing population health needs, governments have focused on strengthening public health systems. A key factor in a robust public health system is its workforce. As part of a nationally funded study of public health renewal in Canada, a policy analysis was conducted to compare public health human resources-relevant documents in two Canadian provinces, British Columbia (BC) and Ontario (ON), as they each implement public health renewal activities. METHODS: A content analysis of policy and planning documents from government and public health-related organizations was conducted by a research team comprised of academics and government decision-makers. Documents published between 2003 and 2011 were accessed (BC = 27; ON = 20); documents were either publicly available or internal to government and excerpted with permission. Documentary texts were deductively coded using a coding template developed by the researchers based on key health human resources concepts derived from two national policy documents. RESULTS: Documents in both provinces highlighted the importance of public health human resources planning and policies; this was particularly evident in early post-SARS documents. Key thematic areas of public health human resources identified were: education, training, and competencies; capacity; supply; intersectoral collaboration; leadership; public health planning context; and priority populations. Policy documents in both provinces discussed the importance of an educated, competent public health workforce with the appropriate skills and competencies for the effective and efficient delivery of public health services. CONCLUSION: This policy analysis identified progressive work on public health human resources policy and planning with early documents providing an inventory of issues to be addressed and later documents providing evidence of beginning policy development and implementation. While many similarities exist between the provinces, the context distinctive to each province has influenced and shaped how they have focused their public health human resources policies.

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.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.003
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.182
GPT teacher head0.535
Teacher spread0.353 · 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