TY - JOUR
T1 - Long-term Cost-effectiveness of Insulin Degludec Versus Insulin Glargine U100 in the UK
T2 - Evidence from the Basal-bolus Subgroup of the DEVOTE Trial (DEVOTE 16)
AU - the DEVOTE study group
AU - Pollock, Richard F.
AU - Valentine, William J.
AU - Marso, Steven P.
AU - Andersen, Andreas
AU - Gundgaard, Jens
AU - Hallén, Nino
AU - Tutkunkardas, Deniz
AU - Magnuson, Elizabeth A.
AU - Buse, John B.
N1 - Funding Information:
RFP was at the time of the study and WV is a full-time employee of Ossian Health Economics and Communications GmbH, which received consultancy fees from Novo Nordisk to construct the model and conduct the analyses. EAM reports research support from Abbott Vascular, Boston Scientific, Cardiovascular Systems, Inc., Daiichi Sankyo and Medtronic. JB reports grant and consultation fees to the University of North Carolina (UNC) under contract and travel/meals/lodging for contracted activities from Novo Nordisk during the conduct of the study and salary support from the National Institutes of Health (UL1TR002489); fees for consultation to UNC under contract and travel/meals/lodging for contracted activities from Adocia, AstraZeneca, Dexcom, Elcelyx Therapeutics, Eli Lilly, Intarcia Therapeutics, Lexicon, MannKind, Metavention, NovaTarg, Novo Nordisk, Sanofi, Senseonics, and vTv Therapeutics; grants from AstraZeneca, Boehringer Ingelheim, Johnson & Johnson, Lexicon, Novo Nordisk, Sanofi, Theracos, and vTv Therapeutics; stock options in Mellitus Health, PhaseBio and Stability Health outside the submitted work. He is a consultant to Neurimmune AG. AA, DT, JG and NH are all employees of Novo Nordisk, and AA, DT and JG also hold shares/stocks in Novo Nordisk. SM has received personal fees from Abbott Vascular, Novo Nordisk, Boston Scientific Asahi, Boehringer-Ingelheim and Bristol-Myers Squibb; and research support from Novo Nordisk.
Funding Information:
The authors acknowledge the contribution of Lars Lynne Hansen to the data analysis. Medical writing support was provided by Anna Campbell, Ph.D., and editorial assistance provided by Richard McDonald, of Watermeadow Medical, an Ashfield company, part of UDG Healthcare plc, funded by Novo Nordisk.
Funding Information:
The authors acknowledge the contribution of Lars Lynne Hansen to the data analysis. Medical writing support was provided by Anna Campbell, Ph.D., and editorial assistance provided by Richard McDonald, of Watermeadow Medical, an Ashfield company, part of UDG Healthcare plc, funded by Novo Nordisk.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Objectives: To evaluate the cost-effectiveness of insulin degludec (degludec) versus insulin glargine 100 units/mL (glargine U100) in basal–bolus regimens for patients with type 2 diabetes (T2D) at high cardiovascular (CV) risk based on the DEVOTE CV outcomes trial. Methods: A microsimulation model, informed by clinical outcomes from the subgroup of patients using basal–bolus insulin therapy in DEVOTE (NCT01959529) and by the UKPDS Outcomes Model 2 risk equations, was used to model direct costs (2018 GBP) and effectiveness outcomes [quality-adjusted life years (QALYs)] with degludec versus glargine U100 over a 40-year time horizon. The model captured the development of eight diabetes-related complications, death, severe hypoglycemia and insulin dosing. This analysis was conducted from the perspective of National Health Service (NHS) England. Results: Treatment with degludec versus glargine U100 in basal–bolus regimens was associated with improved clinical outcomes at a higher cost per patient [incremental cost effectiveness ratio (ICER): £14,956 GBP/QALY]. Degludec remained cost effective versus glargine U100 in all exploratory sensitivity analyses, with ICERs below the widely accepted willingness-to-pay threshold, although the result was most sensitive to assumptions regarding the persistence of treatment effects. Conclusions: Our long-term modeling analysis suggested that degludec was cost effective (from the perspective of NHS England) versus glargine U100 in basal–bolus regimens for patients with T2D at high CV risk. Our findings raise important questions regarding how to model the health economics of diabetes therapies.
AB - Objectives: To evaluate the cost-effectiveness of insulin degludec (degludec) versus insulin glargine 100 units/mL (glargine U100) in basal–bolus regimens for patients with type 2 diabetes (T2D) at high cardiovascular (CV) risk based on the DEVOTE CV outcomes trial. Methods: A microsimulation model, informed by clinical outcomes from the subgroup of patients using basal–bolus insulin therapy in DEVOTE (NCT01959529) and by the UKPDS Outcomes Model 2 risk equations, was used to model direct costs (2018 GBP) and effectiveness outcomes [quality-adjusted life years (QALYs)] with degludec versus glargine U100 over a 40-year time horizon. The model captured the development of eight diabetes-related complications, death, severe hypoglycemia and insulin dosing. This analysis was conducted from the perspective of National Health Service (NHS) England. Results: Treatment with degludec versus glargine U100 in basal–bolus regimens was associated with improved clinical outcomes at a higher cost per patient [incremental cost effectiveness ratio (ICER): £14,956 GBP/QALY]. Degludec remained cost effective versus glargine U100 in all exploratory sensitivity analyses, with ICERs below the widely accepted willingness-to-pay threshold, although the result was most sensitive to assumptions regarding the persistence of treatment effects. Conclusions: Our long-term modeling analysis suggested that degludec was cost effective (from the perspective of NHS England) versus glargine U100 in basal–bolus regimens for patients with T2D at high CV risk. Our findings raise important questions regarding how to model the health economics of diabetes therapies.
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U2 - 10.1007/s40258-019-00494-3
DO - 10.1007/s40258-019-00494-3
M3 - Article
C2 - 31264138
AN - SCOPUS:85068802234
SN - 1175-5652
VL - 17
SP - 615
EP - 627
JO - Applied Health Economics and Health Policy
JF - Applied Health Economics and Health Policy
IS - 5
ER -