Methods for Extrapolating Survival Analyses for the Economic Evaluation of Advanced Therapy Medicinal Products

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Methods for Extrapolating Survival Analyses for the Economic Evaluation of Advanced Therapy Medicinal Products. / Hardy, William; Hughes, Dyfrig.
Yn: Human Gene Therapy, Cyfrol 33, Rhif 17-18, 16.09.2022, t. 845-856.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Hardy W, Hughes D. Methods for Extrapolating Survival Analyses for the Economic Evaluation of Advanced Therapy Medicinal Products. Human Gene Therapy. 2022 Medi 16;33(17-18):845-856. Epub 2022 Gor 12. doi: 10.1089/hum.2022.056

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TY - JOUR

T1 - Methods for Extrapolating Survival Analyses for the Economic Evaluation of Advanced Therapy Medicinal Products

AU - Hardy, William

AU - Hughes, Dyfrig

PY - 2022/9/16

Y1 - 2022/9/16

N2 - There are two significant challenges for analysts conducting economic evaluations of advanced therapy medicinal products (ATMPs): (i) estimating long-term treatment effects in the absence of mature clinical data, and (ii) capturing potentially complex hazard functions. This review identifies and critiques a variety of methods that can be used to overcome these challenges. The narrative review is informed by a rapid literature review of methods used for the extrapolation of survival analyses in the economic evaluation of ATMPs. There are several methods that are more suitable than traditional parametric survival modelling approaches for capturing complex hazard functions, including, cure-mixture models and restricted cubic spline models. In the absence of mature clinical data, analysts may augment clinical trial data with data from other sources to aid extrapolation, however, the relative merits of employing methods for including data from different sources is not well understood. Given the high and potentially irrecoverable costs of making incorrect decisions concerning the reimbursement or commissioning of ATMPs, it is important that economic evaluations are correctly specified, and that both parameter and structural uncertainty associated with survival extrapolations are considered. Value of information analyses allow for this uncertainty to be expressed explicitly, and in monetary terms.

AB - There are two significant challenges for analysts conducting economic evaluations of advanced therapy medicinal products (ATMPs): (i) estimating long-term treatment effects in the absence of mature clinical data, and (ii) capturing potentially complex hazard functions. This review identifies and critiques a variety of methods that can be used to overcome these challenges. The narrative review is informed by a rapid literature review of methods used for the extrapolation of survival analyses in the economic evaluation of ATMPs. There are several methods that are more suitable than traditional parametric survival modelling approaches for capturing complex hazard functions, including, cure-mixture models and restricted cubic spline models. In the absence of mature clinical data, analysts may augment clinical trial data with data from other sources to aid extrapolation, however, the relative merits of employing methods for including data from different sources is not well understood. Given the high and potentially irrecoverable costs of making incorrect decisions concerning the reimbursement or commissioning of ATMPs, it is important that economic evaluations are correctly specified, and that both parameter and structural uncertainty associated with survival extrapolations are considered. Value of information analyses allow for this uncertainty to be expressed explicitly, and in monetary terms.

KW - advanced therapy medicinal products

KW - cost-effectiveness analysis

KW - economic evaluation

KW - survival analysis

U2 - 10.1089/hum.2022.056

DO - 10.1089/hum.2022.056

M3 - Article

VL - 33

SP - 845

EP - 856

JO - Human Gene Therapy

JF - Human Gene Therapy

SN - 1043-0342

IS - 17-18

ER -