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Record W2756050684 · doi:10.12927/hcpol.2017.25193

An Integrated Needs-Based Approach to Health Service and Health Workforce Planning: Applications for Pandemic Influenza

2017· article· en· W2756050684 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare policy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsHamilton Health SciencesDalhousie University
FundersCanadian Institutes of Health ResearchMinistry of Health, British ColumbiaNova Scotia Department of Health and WellnessDepartment of Health, Western Cape GovernmentNova Scotia Health Research Foundation
KeywordsWorkforceBusinessPandemicHealth careContext (archaeology)Variety (cybernetics)Workforce planningSurge CapacityService (business)Natural disasterNeeds assessmentCoronavirus disease 2019 (COVID-19)MedicineEconomic growthMarketingComputer sciencePolitical scienceGeographyEconomics

Abstract

fetched live from OpenAlex

Healthcare systems must be responsive to the healthcare needs of the populations they serve. However, typically neither health services nor health workforce planning account for populations' needs for care, resulting in substantial and unnecessary unmet needs. These are further exacerbated during unexpected surges in need, such as pandemics or natural disasters. To illustrate the potential of improved methods to help planning for these types of events, we applied an integrated, needs-based approach to health service and workforce planning in the context of a potential influenza pandemic at the provincial level in Canada. This application provides evidence on the province's capacity to respond to surges in need for healthcare and identifies specific services which may be in short supply in such scenarios. This type of approach can be implemented by planners to address a variety of health issues 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.

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)0.003
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.000
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 head0.307
GPT teacher head0.565
Teacher spread0.257 · 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