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Enregistrement W4400054655 · doi:10.5694/mja2.52365

Who is bearing the brunt of the increasing cost of cancer care?

2024· editorial· en· W4400054655 sur OpenAlexaboutno aff
Colin Williams, Peter Gibbs

Notice bibliographique

RevueThe Medical Journal of Australia · 2024
Typeeditorial
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHealth careRespondentMedicineEquity (law)Health economicsEnvironmental healthInterquartile rangeFamily medicineDemographyBusinessEconomic growthPolitical scienceEconomics

Résumé

récupéré en direct d'OpenAlex

Burgeoning health care costs are a major concern in Australia and throughout the world, straining national budgets and challenging principles of accessibility and equity. In Australia, total health care spending increased by 3.4% per year during 2011–21, and by a further 6% ($13.7 billion) during the financial year 2021–22.1 The estimated cost of cancer care was the third highest for any disease type.2 Out-of-pocket health care expenses as a proportion of all health care expenditure in Australia (13.3%) are comparable with those in other countries with universal health care systems (Canada, 14.9%; United Kingdom, 13.9%), but are larger than in European countries with similar health care systems, such as the Netherlands (9.8%), Germany (11.0%), and France (8.2%).3 Australian data on cancer health care costs at the individual level, and how these costs vary by cancer type and patient characteristics, are limited. The study by Goldsbury and colleagues4 published in this issue of the MJA adds to our knowledge of cancer treatment costs in Australia. The authors surveyed participants in the 45 and Up Study about their out-of-pocket health care expenses, and linked the responses with New South Wales Cancer Registry data. Strengths of the study included the large sample size (45 061 people), the survey participation rate (53%), and the broad range of cancer types and health care costs covered. As the median age of participants was 70 years (interquartile range, 64–76 years), the respondent sample was fairly representative of people with cancer, although the authors noted selectivity with respect to some characteristics (eg, large proportion with private health insurance; possibility that people with poor outcomes were under-represented). About 43% of respondents reported that their out-of-pocket health care expenses had been more than $1000 during the preceding twelve months, including 55% of those who had been diagnosed with cancer in the past two years. After adjustment for socio-demographic and health factors, people diagnosed with cancer during the preceding two years were twice as likely as people without cancer to report expenses greater than $1000 (adjusted odds ratio [aOR], 2.06; 95% confidence interval [CI], 1.77–2.40), and even more likely to have out-of-pocket expenses exceeding $10 000 (aOR, 3.30; 95% CI, 2.56–4.26).4 Of particular interest was that people with private insurance and higher household income were more likely to report higher out-of-pocket expenses. Further work is needed to establish how out-of-pocket health costs affect access to care and clinical outcomes. The Australian health care system is a unique mix of public and private care. Timeliness of care can be an important determinant of health outcomes, and one of the perceived advantages of private care is more rapid access to specialist physicians and interventions. Further, there is evidence that socio economically disadvantaged people, particularly those who do not live in metropolitan centres, may face hurdles to care, including access to general practitioners, which is not determined by insurance status but can be influenced by socio-economic standing and place of residence.5-7 It has been reported that people with advanced cancer who are privately insured have better outcomes in Australia.8, 9 However, it is a complex relationship, and any survival differences probably have multifactorial causes, confounded by differences in health and socio-economic status. The study by Goldsbury and colleagues4 brings into focus the health cost burden borne by people with private insurance and higher socio-economic status, including the substantial and increasing cost of private health insurance, and the out-of-pocket gaps associated with common medical procedures, which are clearly increasing. To have contributed to private insurance and then be faced with major additional costs is confronting, particularly when considering the lower costs for a person receiving the same treatment in a public hospital. Further, in addition to any gap payments, additional costs can be incurred with the use of newer surgical or radiation oncology technology, or medications not readily available to public patients. Such therapies are supported by varying levels of clinical evidence. The strongest association with out-of-pocket costs exceeding $10 000 was a recent breast or prostate diagnosis, which may suggest where higher costs are being incurred. When emerging treatment options are discussed, informed consent by patients is essential. The evidence base, treatment costs, and details of alternative approaches, including treatment in the public system, should be clearly disclosed upfront to patients. Fully informed decision making is always important, but particularly when highly stressed people are contemplating a life-threatening illness, when disease-related anxiety and the real or perceived urgency of commencing treatment may influence their decisions. Increasing out-of-pocket health care expenses, particularly for people with cancer, are clearly concerning, especially if they compromise the care of those who are unable to pay. Currently, out-of-pocket costs are more likely to be incurred by those with least disadvantage. Given the inexorable rise in health care costs and the increasing challenge of making the best available treatments accessible to everyone, it is important to discuss cancer treatment costs for all patients. Here, as always, people should be fully informed in advance of costs and treatment alternatives, and efforts are needed to contain out-of-pocket expenses. Joanna Oakley (Walter and Eliza Hall Research Institute) provided advice regarding the manuscript content and reviewed initial drafts. No relevant disclosures. Commissioned; not externally peer reviewed.

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)0,039
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: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,043
Score d'incertitude au seuil0,085

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,039
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0020,003
Communication savante0,0070,013
Science ouverte0,0010,002
Intégrité de la recherche0,0060,008
Charge utile insuffisante (le modèle a refusé de juger)0,0130,002

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 Opus0,246
Tête enseignante GPT0,476
Écart entre enseignants0,230 · 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
GenreÉditorial

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
Publié2024
Routes d'admission1
Résumé présentoui

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