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Record W7047638751

HEALTHCARE INEQUITY IN CANADA: EXAMINING THE FEASIBILITY OF THE PUBLIC PRODUCTION OF MEDICINES

2018· dissertation· en· W7047638751 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2018
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Pharmaceutical policyPharmaceutical industryGrassrootsThematic analysisPublic sectorWork (physics)Exploratory researchPublic healthHealth care
DOInot available

Abstract

fetched live from OpenAlex

Background: As the global pharmaceutical industry continues to generate significant wealth, the demand for equitable access to medicine remains at the forefront of political and grassroots agendas. In recent years, poor drug coverage coupled with unaffordable drug prices have contributed to access issues for a growing number of Canadians (Morgan et al, 2015). Although the industry cites various reasons for an increase in cost, such as high-risk research, lengthy clinical trials and significant advances in technology (DiMasi et al., 2016; Ridley, 2005), there is a growing body of research that is contradictory to the industry’s reasoning for higher drug costs (Kohler et al., 2016; Siddiqui & Rajkumar, 2012; Light & Warburton, 2011). Whereas other initiatives to date focus on drug coverage, this work proposes the Canadian Government investigate the feasibility of the public production and distribution of pharmaceuticals. Thus, the research question addresses whether successful publicly funded pharmaceutical research and development initiatives, including production and distribution, could be applicable in the Canadian pharmaceutical sector where inequity is an issue. A scoping review was conducted to draw in all relevant literature on publicly funded research models pertaining to the research and development of pharmaceuticals. Methods: The research undertaken for this thesis is exploratory and comprised of qualitative work that is guided by the Arksey & O’Malley (2005) scoping review methodological framework. The data collected for the scoping review was analyzed with the thematic analysis method. Findings: Following the thematic analysis, three key themes were identified: Local Production, Public Private Sector and National Production. Although there have been some successes in low to middle income countries with regard to the local production of medicine, the likelihood of success is contingent on whether there is a need to import active pharmaceutical ingredients (API). With regard to the public and private sector, the pre-competitive sphere serves as the typical space for collaboration. The public sector typically conducts research, whereas the private sector oversees drug development. The national production of medicine is underpinned by government intervention, which is evidenced by the varied measures taken to increase access to medicine. The preliminary literature review revealed that an Advisory Council was created to assess the viability of Pharmacare 2020. This council may be used to conduct the necessary research to assess the feasibility and strategy of publicly producing pharmaceuticals in Canada. Conclusions: Healthcare inequity that is linked to unaffordable medicine is exacerbated by poor drug coverage. The findings revealed that considerable investment into infrastructure, a strong civil society that pressures the government to act, and a pharmaceutical sector characterized by high prices may encourage a government to produce medicine when faced with a health crisis. Further findings revealed that API production may prevent a country from feasibly producing medicine. Considering Canada’s standing as an industrialized and developed nation with access to state-of-the-art public infrastructure, in addition to a pharmaceutical market characterized by high drug prices and a strong civil society sector, the Canadian Government is in a likely position to produce medicine. However, the necessary research must be conducted to assess whether such an endeavour is feasible.

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)0.028
metaresearch head score (Gemma)0.095
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.828

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.095
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.015
Science and technology studies0.0230.009
Scholarly communication0.0140.004
Open science0.0040.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.260
Teacher spread0.221 · 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 designNot applicable
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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