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Enregistrement W2035185506 · doi:10.1001/jama.289.9.1165

Government Share of Health Care Expenditures

2003· article· en· W2035185506 sur OpenAlexaboutno aff
Asaf Bitton, James G. Kahn

Notice bibliographique

RevueJAMA · 2003
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealthcare Policy and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineGovernment (linguistics)Health careMEDLINEEnvironmental healthEconomic growthLaw

Résumé

récupéré en direct d'OpenAlex

IT IS ONLY PARTIALLY TRUE TO SAY THAT THE UNITED STATES does not currently have a national health care system. The Centers for Medicare & Medicaid Services (CMS) estimated the 1999 government share of total US health spending as 45.2% ($548 billion). This estimate includes funding for Medicare, Medicaid, workers’ compensation, the Department of Veterans Affairs, public hospitals, and government public health activities. Thus, public funds directly pay for the health care of many people in the United States. Beyond these payments made directly to providers or institutions by the government, there are also other public funds spent on health care that are not included in the CMS estimate. These funds include the premiums paid to private insurance companies to cover government employee benefits, as well as government income that is lost to tax subsidies for health insurance premiums. Such subsidies are taxexempt when provided by an employer, but nonexempt if paid for directly by an individual. Furthermore, this tax subsidy is unequally distributed, averaging $2357 for families with annual incomes above $100000 but only $71 for families with annual incomes below $15000. Thus, for example, the CMS classifies benefits for veterans as government health expenditures, since the government directly funds Veterans Affairs hospitals for their services, while health services for government employees paid for by a private insurer (but funded by the government through premiums) are not listed as public expenditures. Sheils and Hogan consider tax-exempt health benefits to be a seriously underreported cost to the government ($111 billion in 1998). Woolhandler and Himmelstein recently recalculated the government share of health expenditure by including these tax subsidies and public employee private health benefits, and concluded that the government-financed share of total health spending in 1999 was 59.8%, equal to $723.8 billion or $2604 per capita. This figure is 25% higher than the CMS estimates for the same year. A 2000 study by Fox and Fronstin also concluded that the government share of expenditures on health care in 1998 was about 60%. These data indicate that, in addition to spending more and more on health care in absolute terms, the US government has also paid for a progressively larger share of national health expenditures during the last 35 years. Between 1965 and 1999, the government share of taxfinanced health expenditures rose more than 5700%, while overall health costs increased 2900%. In 1965, US government tax-financed health expenditures per capita were less than most other industrialized nations. By 1999, the per capita government proportion of health expenditures in the United States exceeded total health spending per capita in every industrialized nation except Switzerland. Additionally, tax subsidies and public employee benefits, which, again, are usually excluded from the calculation of public health care spending, rose as a proportion of overall governmentfinanced health expenditures between 1965 and 1999, even in the face of large increases in direct federal spending on other programs such as Medicare and Medicaid. Overall, then, the US government is paying for the majority of US health expenditures while a large segment of the population remains uninsured or underinsured. Many of these funds go directly to private insurers who cover government employees. Many go to tax breaks that benefit both employers who purchase private insurance and, disproportionately, the wealthiest, best-insured families in the United States. Another significant component of government (and nongovernment) expenditure goes to redundant and often unnecessary overhead costs. In part because many of the government funds spent on health care go through an extensive, multipayer private system (at least 755 insurance plans exist in Seattle alone), bureaucracy and administration now consume 20% to 30% of the total US health care budget. While part of this spending is necessary for medical system management, the wide variety of insurance plans and payer options inflicts huge amounts of extra paperwork and billing burdens on providers and institutions. The average US hospital spends 25% of its budget on billing and administration without evidence that this improves patient care. In fact, there is evidence that health plans with higher administrative costs deliver worse quality care. By contrast, Canada’s single-payer system has 1% administrative overhead costs, and even its Medicare program only consumes 4% of this total budget. Reducing spending on redundant bureaucracy and complicated insurance billing to Canadian levels could save as much as $140 billion annually without reducing the funds spent on care.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,101

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,006
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0300,017

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 Opus0,046
Tête enseignante GPT0,277
Écart entre enseignants0,231 · 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'étudeObservationnel
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

Citations17
Publié2003
Routes d'admission1
Résumé présentoui

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