MétaCan
Menu
← Retour à la cohorte

Global barriers to access to insulin

2017· preprint· en· W4213378060 sur OpenAlexaboutno aff
Margaret Ewen

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineBusiness, Management and Accounting
ThématiqueGlobal Public Health Policies and Epidemiology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInsulinBusinessMedicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Global Barriers to Access to InsulinCo-authorstM. Ewen1, D. Beran2, M. Lepeska1, R. Laing3.1Health Action International, Amsterdam, The Netherlands.2. University of Geneva, Geneva, Switzerland3Boston University School of Public Health, Boston, USA.BackgroundInsulin for Type 1 diabetes is a rare example of an absolute need for a given medicine. Although global disease burden data is lacking it is estimated that 490,100 children aged 0-14 have Type 1 diabetes. Type 1 diabetes may represent 5% of the total diabetes burden (estimated at 347 million) or 17.4 million people. Use of insulin in the management of Type 2 diabetes is required for better control and its use is dependent on a variety of health system factors. Barriers to access to insulin in many contexts leads to high morbidity and mortality. AimThe aim of this study is to identify how global factors impact access to insulin at a country level.MethodA variety of data sources were analyzed and combined in order to develop a better overview of the global insulin market. To identify insulin manufacturers a literature review of the insulin market using a variety of databases and Google searches was carried out. For product registration, available websites for the medicine regulatory authorities and ministries of health for each country were searched. A systematic literature review was carried out looking at use of insulin in Type 2 diabetes. The UN Commodity Trade Statistics database was used to extract insulin related trade data. Using the term u201cinsulinu201d, the United States Food and Drug Administrationu2019s Orange Book and the Canadian Online Drug Product Database Online Query and its Patent Register were searched for patents on insulin.ResultsForty independent insulin manufacturers were identified in 17 countries. A total of 55 countries had 1,985 insulin products registered. Of these 58% were human insulin, 38% were analogues, 3% were animal insulin, and 1% was unknown. Novo Nordisk had the highest number of registered products (719) followed by Eli Lilly (470) and Sanofi (361). Together these companies represent 88% of total product registrations globally. Only two countries did not list any insulin on their National Essential Medicines List. In looking at insulin use in people with Type 2 diabetes, the literature showed a range from 2.4% in Taiwan to 23.5% in the US. No patents were found for human insulin. For analogue insulins, 61 patents were found in the US Food and Drug Administrationu2019s Orange Book and 8 patents were listed in the Canadian Online Drug Product Database. For insulin exports between 2003 and 2013, 10 countries made up 98% to 99% of the global value of retail insulin exports. Over this period, Denmark, France, and Germany collectively exported between 85% to 96% of global retail insulin by value. Fifty percent of global imports were to the US, UK, Germany and Japan. Around 60 countries (mostly low- and middle income countries) imported insulin from only one country for making then vulnerable to disruptions in supply. DiscussionThis data provides a unique addition to the knowledge about the global insulin market from different angles. It confirms from the dominance of Eli Lilly, Novo Nordisk and Sanofi with regards to the global insulin market. Although other insulin manufacturers have been identified, their size and market penetration seem to be low. Intellectual Property is not an issue for insulin itself. These global barriers result in high prices of insulin. In the public sector for individuals were US$7.64 for human insulin and US$45.03 for analogues. In the private sector analogues were higher priced (US$39.35) than human insulins (US$16.65). This translates to mean affordability in the public sector was 2.5 daysu2019 wages for human insulins, and 7.5 dayu2019s wages for analogues. In the private sector, it was 3.5 and 9.5 daysu2019 wages for human and analogues insulins, respectively. For other medicines, generic competition has been able to lower prices and improve access, however this has not happened for insulin despite no patents on human insulin. The reasons for this may be linked to a variety of factors, such as the marketing strength of these 3 multi-national companies, push for analogue versus human insulin, the complexity of manufacturing a biological product, lack of government funding for purchasing insulin and lack of civil society mobilisation around the issue of access to insulin. In order to address these global barriers global mechanisms are needed as has been seen for HIV/AIDS and other communicable diseases.

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)0,004
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,018
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0210,001

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 Opus0,070
Tête enseignante GPT0,382
Écart entre enseignants0,313 · 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'étudeSans objet
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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetGlobal Public Health Policies and Epidemiology→Travaux en français237 207→