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Enregistrement W3015526105

Fixing an Accident of History: Assessing a social insurance model to achieve adequate universal drug insurance

2020· dissertation· en· W3015526105 sur OpenAlexaboutno aff
Christopher George Bonnett

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2020
Typedissertation
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealthcare Policy and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial insuranceAccident (philosophy)Actuarial scienceAccident insuranceBusinessPolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Canada’s drug insurance system remains fragmented and expensive. The plethora of private and public plans still do not adequately cover all Canadians. Demographic changes, disease profiles and the introduction of many new very high cost drugs mean Canadians will be increasingly unable to afford access to medically necessary drug therapy. \n \nThe lack of adequate universal drug insurance, a policy known in Canada as national pharmacare (NPh), is an important problem. A solution must address patient needs for access and equity at a cost that is sustainable to payers. Most academic literature has identified a public single payer model as the optimal approach but despite many studies and reports, this has yet to be implemented. This suggests the need for an alternative. \n \nThe Canadian alternative to a single payer plan is popularly called “fill the gaps.” This approach argues that the federal government should target its funding to expand provincial coverage to cover the uninsured. A social drug insurance model, used in many European countries, retains private insurance but improves on it by regulating, structuring and aligning it with medicare. As such it is the logical proxy for those who favour “fill the gap.” \n \nSocial insurance may achieve adequate universal drug insurance at a much lower per capita cost. Social insurance financing relies primarily on employers and workers, which is very similar to our very large private drug insurance market. However, private drug plans are mostly tied to employment, are voluntary and face similar threats to sustainability and affordability as provincial plans. An organized mixed-financing model like social drug insurance would spread risk and is a more feasible approach than a single payer plan to achieve adequate universal drug insurance. If a comprehensive single payer NPh plan is not implemented, adopting key social insurance features and regulations would significantly improve access and quality. \n \nAn extensive literature review is presented, followed by a qualitative thematic analysis of drug insurance opinion leader interviews and a comparative analysis of health and drug systems in three jurisdictions. The theoretical perspective of how a government may recognize and prioritize certain problems over others draws on John Kingdon’s Agendas, Alternatives, and Public Policies (2011). \n \nMajor findings are found in four chapters. Chapter 4 examines our current shared-funding model for prescription drugs and establishes that social drug insurance could work in the context of our institutionalized model. \n \nChapter 5 provides a comparative review of social health insurance (SHI) models in Germany, the Netherlands and Quebec to help identify the form and features useful in a pan-Canadian system. Certain features warrant serious consideration in Canada. The Netherlands has created an aggressive drug price and cost control architecture. Germany’s Federal Joint Committee is a participatory multi-stakeholder governance model that could improve transparency and better address system complexity and sustainability. Quebec provides 20 years of guidance on key drug system features and risks in a Canadian context. \n \nChapters 6 and 7 present the most important findings from 26 interviews with drug plan experts and influencers in different sectors from across Canada. Thematic analysis identified five roles for the federal government: funder, coordinator/secretariat, leader, relationship manager and nation-builder. These can be operationalized as funding that ensures adequate universal access, the creation of national standards for a list of covered drugs (formulary) and for patient cost-sharing to limit personal financial risk. Most participants wanted private insurance to continue as a significant funder but private payers remain marginalized, “outside the tent” in this policy debate. Employers are important funders and have not been extensively consulted. Relationships and trust among key stakeholders are limited or weak. These are crucial constraints to progress. \n \nKingdon’s model, explored in Chapter 8, indicates the problem, policy and political streams are no longer aligned, so a window of opportunity for universal drug insurance has become far less likely. However, the window could re-open with less ideological stances by advocates supporting either model. This requires a standing forum for constructive and time-bounded dialogue to produce a strategy, funding structure, a realistic implementation plan and a modern governance model. Participants recommended the federal government play this leadership role. An influential NPh policy entrepreneur would energize this work. \n \nRelated structural changes have recently been proposed to reduce drug prices and costs, such as reform of the Patented Medicine Prices Review Board, the creation of a new Canadian Drug Agency and a strategy for drugs for rare diseases. These financial changes are very important, but are not a comprehensive reform and will not in themselves assure adequate universal drug insurance. NPh is still needed and must proceed in parallel given its complexity and long gestation period. \n \nA carefully designed social drug insurance model that includes a regulated role for private drug plans would spread risk among payers, reflect our social values, provide choice in coverage and enable access to sophisticated consumer- and patient-focused insurer technology that complements public plan expertise in health technology assessment. Mitigating financial and political risk is important to governments, and moving to implementation is important to patients. \n \nSocial drug insurance is still a very complex, multi-year change, meaning careful, consultative planning for implementation and transition is crucial. This model could serve as a template to achieve universal funding for other core health services, such as long-term care and community care. \n \nKingdon notes policy change is more likely if complexity, confounding information and financial and reputational risk for governments can be reduced. Rather than a polarized, dichotomous and perpetual debate typical of decades of NPh failure, a classic Canadian compromise may be possible that allows adequate universal drug insurance to be more quickly implemented through a hybrid model.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,036
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,931
Score d'incertitude au seuil0,902

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,036
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,003
Études des sciences et des technologies0,0070,007
Communication savante0,0100,006
Science ouverte0,0020,005
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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.

Tête enseignante Opus0,052
Tête enseignante GPT0,247
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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