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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 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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
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 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

Citations5
Published2017
Admission routes3
Has abstractyes

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