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Wizards of Oz? What the UK can learn from Australia's healthcare system

2021· other· en· W6988110539 sur OpenAlexaboutno aff

Notice bibliographique

RevueEconstor (Econstor) · 2021
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHealth careCounterfactual thinkingHealth insuranceSocial insuranceHealthcare systemPublic health insuranceSelf-insuranceInsurance policy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Australia and the UK had very similar healthcare systems until the end of the 1940s, when they diverged. The UK created the National Health Service, while Australia opted for more gradual reforms within its existing system. We can see the Australian system as a plausible counterfactual for how healthcare in Britain might have evolved if the NHS had never been created. The Australian model of today is best described as a multi-layered hybrid system. It is, in the main, a public health insurance system, comparable to the systems in France, Canada, Taiwan and South Korea. A universal insurance programme (Medicare) pays for most healthcare costs, but Medicare does not run any healthcare facilities of its own. Instead, it maintains contractual relations with a range of healthcare providers. On top of universal public health insurance, most Australians have private health insurance (PHI). PHI potentially offers faster access to treatment, greater choice, higher levels of comfort, and additional services not covered by Medicare. Private health insurers in Australia are not allowed to discriminate on the basis of individual health risks. A person in poor health pays the same insurance premium as a person in good health. Thus, private health insurance in Australia is similar to social health insurance (SHI) in Europe or Israel. Australians with PHI tend to use the public system less. This is recognised in the Australian tax and transfer system: people with PHI receive a rebate, which effectively lowers their public insurance premium by around a quarter. This makes PHI more widely affordable. The Australian system is more decentralised than the British one. Australia's nine regions (the states and territories) are fully responsible for managing their own hospital sectors. The system is also more pluralistic. About one in three hospitals (adjusted for hospital size) are private. Total healthcare spending is lower in Australia, and it has been for nearly two decades. In 2019, it stood at 9.3 per cent of GDP, compared to 10.3 per cent in the UK. Public healthcare spending stood at 6.3 per cent of GDP in Australia, and 8 per cent of GDP in the UK. Australia achieves substantially better healthcare outcomes than the UK. Cancer survival rates are several percentage points higher, while heart attack and stroke mortality rates are several percentage points lower. In terms of Mortality Amenable to Healthcare (a measure of avoidable premature deaths), Australia is about a decade ahead of the UK. Even the Commonwealth Fund study (a study which is uniquely flattering to the NHS) acknowledges the superiority of the Australian system when it comes to outcomes. The NHS, however, appears to have a lead when it comes to avoidable hospitalisation rates for chronic conditions. On average, NHS hospitals also have shorter waiting times for various types of surgery than public hospitals in Australia. We cannot directly compare the two health systems in terms of their Covid-19 performance, because the NHS had to deal with a vastly greater Covid-19 caseload than the Australian system. We can, however, note that the UK still had higher Covid death rates and excess death rates than a number of countries which had to deal with an even greater caseload. The Australian system has its shortcomings, complexities and inconsistencies but it also gets some important things right. The ideas of tax rebates for PHI, and community rating in PHI, are certainly worth looking into, and so is the generally more decentralised nature of the Australian system. If nothing else, the Australian system can teach us to be more relaxed about the benefits of private sector involvement in healthcare delivery, private insurance and decentralisation.

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)0,005
score de la tête « metaresearch » (Gemma)0,019
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: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,147
Score d'incertitude au seuil0,293

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,019
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,007
Communication savante0,0110,017
Science ouverte0,0010,006
Intégrité de la recherche0,0060,010
Charge utile insuffisante (le modèle a refusé de juger)0,0290,006

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 Opus0,033
Tête enseignante GPT0,278
Écart entre enseignants0,245 · 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
GenreSynthèse

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
Publié2021
Routes d'admission1
Résumé présentoui

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