HEALTHCARE INEQUITY IN CANADA: EXAMINING THE FEASIBILITY OF THE PUBLIC PRODUCTION OF MEDICINES
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,028 | 0,095 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,015 |
| Études des sciences et des technologies | 0,023 | 0,009 |
| Communication savante | 0,014 | 0,004 |
| Science ouverte | 0,004 | 0,009 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».