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Record W2951513891 · doi:10.15171/ijhpm.2019.40

Health Equity in National Cancer Control Plans: An Analysis of the Ontario Cancer Plan

2019· article· en· W2951513891 on OpenAlexaffabout
Ambreen Sayani

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsYork UniversitySt. Michael's Hospital
Fundersnot available
KeywordsHealth equitySocial determinants of healthEquity (law)Health careDisadvantagedPopulationHealth policyBusinessEconomic growthPublic economicsPolitical scienceMedicineEnvironmental healthEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: National cancer control plans (NCCPs) are important documents that guide strategic priorities in cancer care and plan for the appropriate allocation of resources based on the social, geographic and economic needs of a population. Despite the emphasis on health equity by the World Health Organization (WHO), few NCCPs have a focus on health equity. The Ontario Cancer Plan (OCP) IV, (2015 to 2019) is an example of an NCCP with clearly defined health equity goals and objectives. METHODS: This paper presents a directed-content analysis of the OCP IV health equity goals and objectives, in light of the synergies of oppression analytical framework. RESULTS: The OCP IV confines equity to an issue of access-to-care. As a result, it calls for training, funding, and social support services to increase accessibility for high-risk population groups. However, equity has a broader definition. And as such, it also implies that systematic differences in health outcomes between social groups should be minimal. This is particularly significant given that socially disadvantaged cancer patients in Ontario have distinctly poorer cancer-related health outcomes. CONCLUSION: Health systems are seeking ways to reduce the health equity gap. However, to reduce health inequities which are socially-based will require a recognition of the living and working conditions of patients which influence risk, mortality and survival. NCCPs represent a way to politically advocate for the determinants of health which profoundly influence cancer risk, outcomes and mortality.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.768

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 studies0.0000.000
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 head0.126
GPT teacher head0.498
Teacher spread0.372 · 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.

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

Citations36
Published2019
Admission routes2
Has abstractyes

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