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Enregistrement W4404909842 · doi:10.1016/s1470-2045(24)00505-9

Use of the ESMO-Magnitude of Clinical Benefit Scale to guide HTA recommendations on coverage and reimbursement for cancer medicines: a retrospective analysis

2024· article· en· W4404909842 sur OpenAlexaboutno aff
Panos Kanavos, Erica Visintin, Aris Angelis

Notice bibliographique

RevueThe Lancet Oncology · 2024
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineReimbursementHealth technologyFamily medicineScale (ratio)Health careActuarial scienceEconomic growthBusiness

Résumé

récupéré en direct d'OpenAlex

Background Recommendations by countries' health technology assessment (HTA) agencies are used to decide which new therapies warrant the allocation of limited health-care resources to make them available through publicly funded health systems. This process is of public health importance for balancing the dual aims of optimising patient outcomes while ensuring financial sustainability. We evaluated which factors affect HTA outcomes and the time to positive HTA outcome, focussing on the role of clinical benefit evaluated with the European Society for Medical Oncology-Magnitude of Clinical Benefit Scale (ESMO-MCBS). Methods In this retrospective analysis, data were extracted from publicly available HTA reports and related sources from six country settings and their respective HTA agencies (Australia, Canada, England, France, the Canadian province of Quebec, and Scotland). We evaluated new cancer medicines for treating solid tumours in a non-curative setting with published ESMO-MCBS scores and that had been assessed by at least three HTA agencies between Jan 1, 2011, and Dec 31, 2020. Using ESMO-MCBS score as an independent variable, we did descriptive and multivariable regression analyses to evaluate: (1) factors associated with the time between marketing authorisation and positive (unrestricted [List] and restricted [List with Constraints]) HTA outcome; and (2) factors associated with HTA outcomes. Findings 67 medicine–indication pairs used in non-curative settings were identified, totalling 360 HTA submissions (medicine–indication–country triplets) reviewed by the six HTA agencies. Factors significantly associated with a reduced interval between marketing authorisation and a positive (unrestricted or restricted) HTA outcome included a high ESMO-MCBS score (ie, 4 or 5, vs a low or average score of 1–3; hazard ratio [HR] per 1 month increment 1·42 [95% CI 1·11–1·81], p=0·0055), parallel review ( vs standard marketing authorisation process; HR 1·69 [1·13–2·54], p=0·011), having a risk-sharing agreement or special funding arrangements ( vs no funding agreement, HR 4·62 [95% CI 2·51–8·51], p<0·0001, and HR 4·16 [2·03–8·50], p=0·0001, respectively), and assessment by particular HTA agencies (pan-Canadian Oncology Drug Review vs National Institute for Health and Care Excellence [NICE], HR 2·82 [1·68–4·75], p=0·0001; and Haute Autorité de Santé vs NICE, HR 5·70 [2·87–11·33], p<0·0001). Accelerated marketing authorisation was significantly associated with a longer time to positive HTA outcome ( vs standard authorisation process; HR 0·70 [95% CI 0·51–0·95], p=0·024). Positive HTA outcomes (both unrestricted and restricted) were significantly associated with a high ESMO-MCBS score ( vs low or average ESMO-MCBS score; relative risk ratio [RRR] 14·10 [95% CI 3·54–56·20], p=0·0002, and RRR 4·52 [1·90–10·75], p=0·0006, respectively) and acknowledgment of unmet medical need ( vs unmet need not recorded, RRR 22·73 [5·51–93·73], p<0·0001, and RRR 1·87 [1·18–2·97], p=0·0075, respectively). By contrast, positive HTA outcomes (unrestricted and restricted) were inversely associated with uncertainties regarding inputs to economic models informing HTA submissions ( vs uncertainties not recorded, RRR 0·28 [0·10–0·78], p=0·014, and RRR 0·45 [0·25–0·82], p=0·010, respectively). Regarding country-relevant effects, inverse associations with positive HTA outcomes (both unrestricted and restricted) were observed for assessment in Quebec ( vs England; RRR 1·15×10 −6 [1·44×10 −7 –9·09×10 −6 ], p<0·0001, and RRR 0·33 (0·24–0·46), p<0·0001, respectively) and for assessment in Australia ( vs England; RRR 1·78×10 −6 [1·04×10 −8 –3·00×10 −4 ], p<0·0001, and RRR 0·30 [0·15–0·61], p=0·0008, respectively). Interpretation Several factors informed HTA outcomes for new cancer medicines. A high ESMO-MCBS score, defined as indicating substantial clinical benefit, increased the likelihood of a positive HTA outcome and shortened the interval between marketing authorisation and HTA outcome, and this association was not affected by other variables. Additional factors informing HTA outcomes include evidence uncertainties and unmet medical need. Country-relevant differences exist in the time-to-HTA outcome and the propensity of some countries to achieve positive (restricted or unrestricted) outcomes compared with others. Funding None.

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)0,022
score de la tête « metaresearch » (Gemma)0,058
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,978
Score d'incertitude au seuil0,116

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0220,058
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0080,010
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,567
Tête enseignante GPT0,571
Écart entre enseignants0,003 · 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.

Devis d'étudeObservationnel
DomaineÉvaluation
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

Citations11
Publié2024
Routes d'admission1
Résumé présentoui

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Même revueThe Lancet OncologyMême sujetHealth Systems, Economic Evaluations, Quality of LifeTravaux en français237 207