From: Cost-consequence analysis of continuous denosumab therapy for osteoporosis treatment in South Korea
Variables | Model input | Reference | |
---|---|---|---|
Dmab-C | Dmab-D | ||
General population characteristics | |||
 Age(years) | 55 | Assumption | |
General analysis settings | |||
 Cycle length | 6 months | - | |
 Time horizon | Lifetime | - | |
 Discount rate | 4.5% | [17] | |
 Market share in patients with T-score decrease (Denosumab) | 50.9% | IQVIA(2021, Q3) | |
 Market share in patients with T-score decrease (BP/SERM) | 49.1% | IQVIA(2021, Q3) | |
T-score Transition Probability (per cycle) | |||
 From Starting statea to T-score decrease (0–3 years)b | 0.000 | 0.822 | |
 From Starting statea to T-score decrease (after 3 years)c | 0.822 | 0.822 | [12] |
 From Starting statea to T-score increase | 0.108 | 0.000 | [12] |
 From T-score decrease to T-score increase | 0.033 | 0.033 | [12] |
Fracture probabilityd(per cycle) | |||
 Starting statea | 0.004 | 0.013 | |
 T-score decrease | 0.006 | 0.019 | |
 T-score increase (-2.5 < T-score≤-2) | 0.004 | 0.013 | |
 T-score increase (-2.0 < T-score) | 0.002 | 0.007 | |
Non-vertebral fracture | |||
 Starting statea | 0.013 | 0.016 | |
 T-score decrease | 0.015 | 0.018 | |
 T-score increase (-2.5 < T-score≤-2) | 0.013 | 0.016 | |
 T-score increase (-2.0 < T-score) | 0.009 | 0.011 | |
Costs (per cycle, KRW) | |||
Drug costs | |||
 Denosumab | 177,650 | HIRA, Weighted average drug price list, 2021 | |
 BP(Oral) | 125,112 | ||
 BP(IV) | 107,296 | ||
 SERM | 120,050 | ||
Administration costs | |||
 Denosumab | 4,843 | HIRA, Fee-for-service price, 2022 | |
 BP(Oral) | 20,226 | ||
 BP(IV) | 2,422 | ||
 SERM | 45,705 | ||
Fracture treatment costs | |||
 Vertebral fracture | 2,717,095 | [26] | |
 Non-vertebral fracture | 2,684,098 |