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Record W2626092601 · doi:10.12927/hcpol.2017.25097

Bifurcation of Health Policy Regimes: A Study of Sleep Apnea Care and Benefits Coverage in Saskatchewan

2017· article· en· W2626092601 on OpenAlexaffvenueabout
Gregory P. Marchildon, Caroline A. Beck, Tarun Reddy Katapally, Sylvia Abonyi, James A. Dosman, Jo-Ann Episkenew

Bibliographic record

VenueHealthcare policy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of SaskatchewanUniversity of ReginaInstitute of Health Services and Policy Research
Fundersnot available
KeywordsHealth careHealth policyPolitical scienceDevelopment economicsEconomic growthPublic economicsEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: A complex, poorly understood bifurcated health policy regime exists for Canada's First Nations people for extended health benefits coverage. This research adds to a small body of literature on the regime's impact on access and quality of care and its role in perpetuating health inequities in First Nations populations. METHODS: Using a case study of sleep apnea care in Saskatchewan, we identified issues of health service access and coverage through a literature review of extended benefits programs, legislation and policies and through 10 key informant interviews with federal and provincial extended benefit program administrators and sleep medicine physicians. RESULTS: Important access and coverage differences were found for First Nations populations, many of which were recognized by federal and provincial policy makers. Despite these, government respondents recommended few policy ameliorations, perhaps due to system complexities, constitutional constraints or political sensitivities. CONCLUSIONS: We suggest three policy options to ameliorate current hardships wrought by this policy bifurcation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0090.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.379
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2017
Admission routes3
Has abstractyes

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