Pricing methods in outcome-based contracting: δ6: adherence-based pricing.
Acrylamides
/ economics
Aniline Compounds
/ economics
Antineoplastic Agents
/ economics
Canada
Carcinoma, Non-Small-Cell Lung
/ drug therapy
Contracts
Cost-Benefit Analysis
/ methods
Costs and Cost Analysis
/ methods
Genes, erbB-1
/ genetics
Humans
Lung Neoplasms
/ drug therapy
Medication Adherence
/ statistics & numerical data
Models, Economic
Monte Carlo Method
United Kingdom
Adherence
C00
D40
lung cancer
osimertinib
outcome-based-contracting
pricing methods
Journal
Journal of medical economics
ISSN: 1941-837X
Titre abrégé: J Med Econ
Pays: England
ID NLM: 9892255
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
pubmed:
28
8
2020
medline:
24
8
2021
entrez:
27
8
2020
Statut:
ppublish
Résumé
Six Delta is a six-dimensional independent platform for outcome-based pricing/contracting. The sixth dimension (δ6) estimates prices on the basis of adherence to the prescribed regimen, whereby manufacturers provide payers with adherence-enhancing programs and whereby payers implement these programs and provide adherence data to the manufacturer. We describe this dimension's methodology and present a proof-of-concept application to the treatment of non-small cell lung cancer (NSCLC) with EGFR mutation with osimertinib. We propose two paybacks based on adherence: in-advance (based on clinical trial data) and in-arrear (based on real-world data). The risk of efficacy failure pricing dimension utilizes a 7-step method: 1) defining efficacy endpoints; 2) extracting data; 3) predicting models; 4) estimating in-advance and in-arrear paybacks; 5) suggesting ranges for in-advance and in-arrear paybacks; 6) adjusting for medical inflation; and 7) performing Monte Carlo Simulation (MCS) to estimate the DSP For the 1-year contract, the average price for osimertinib was $13,798 (SD=$1,265) and the DSP We demonstrated that adherence-based pricing methods can be integrated into our proposed Six Delta platform for outcome-based pricing/contracting. The proof-of-concept exercise needs to be expanded with the in-arrear pricing method based on real world data to be secured.
Identifiants
pubmed: 32845209
doi: 10.1080/13696998.2020.1815030
doi:
Substances chimiques
Acrylamides
0
Aniline Compounds
0
Antineoplastic Agents
0
osimertinib
3C06JJ0Z2O
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1256-1265Commentaires et corrections
Type : ErratumIn