| Literature DB >> 35063115 |
Shu Su1, William Cw Wong2, Zhuoru Zou3, Dan Dan Cheng4, Jason J Ong1, Polin Chan5, Fanpu Ji6, Man-Fung Yuen7, Guihua Zhuang8, Wai-Kay Seto9, Lei Zhang10.
Abstract
BACKGROUND: China has the highest prevalence of hepatitis B virus (HBV) infection worldwide. Universal HBV screening might enable China to reach the WHO 2030 target of 90% diagnostics, 80% treatment, and 65% HBV-related death reduction, and eventually elimination of viral hepatitis. We evaluated the cost-effectiveness of implementing universal HBV screening in China and identified optimal screening strategies.Entities:
Mesh:
Year: 2022 PMID: 35063115 PMCID: PMC8789560 DOI: 10.1016/S2214-109X(21)00517-9
Source DB: PubMed Journal: Lancet Glob Health ISSN: 2214-109X Impact factor: 26.763
Effectiveness and cost-effectiveness of various HBV universal screening strategies in a cohort of 100 000 Chinese individuals
| Population screened, % | Population vaccinated after screening | Individuals living with HBV diagnosed over the lifetime | Eligible HBV-infected individuals who received treatment | QALYs accumulated over the lifetime | HBV-related deaths over the lifetime (per 100 000) | Cost for screening, US$ thousand | Cost for vaccination, US$ thousand | Cost for HBV treatment, US$ thousand | Cost per death averted, US$ | ICER cost/QALY gained | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Status quo | 19·0% | 0·0% | 18·9% | 12·6% | 1 465 674 | 1479 | $267 | $0 | $13 603 | .. | .. |
| Five-test, 18–70 years | 76·2% | 53·6% | 86·8% | 38·4% | 1 467 225 | 1230 | $1066 | $253 | $15 370 | $15 107 | 18 295 |
| Two-test, 18–70 years | 76·2% | 46·7% | 85·9% | 36·4% | 1 467 197 | 1241 | $633 | $220 | $15 317 | $14 770 | 2783 |
| Two-test, 18–60 years | 65·4% | 36·4% | 74·1% | 33·5% | 1 466 996 | 1293 | $404 | $171 | $15 038 | $15 414 | 1950 |
| Two-test, 18–50 years | 53·5% | 25·0% | 59·2% | 29·4% | 1 466 700 | 1348 | $385 | $118 | $14 533 | $18 292 | 1351 |
| Two-test, 18–40 years | 41·4% | 14·0% | 51·2% | 23·7% | 1 466 327 | 1418 | $298 | $66 | $14 167 | $33 394 | 1063 |
| Two-test, 18–30 years | 30·8% | 5·5% | 43·6% | 19·1% | 1 465 979 | 1457 | $283 | $26 | $13 853 | $67 823 | 954 |
| Status quo | 19·0% | 0·0% | 18·9% | 12·6% | 1 467 408 | 1483 | $258 | $0 | $12 397 | .. | .. |
| Five-test, 18–70 years | 76·4% | 48·0% | 85·4% | 37·8% | 1 468 796 | 1271 | $916 | $226 | $14 201 | $15 999 | 20 183 |
| Three-test, 18–70 years | 76·4% | 45·3% | 85·0% | 37·5% | 1 468 774 | 1280 | $808 | $214 | $13 891 | $15 185 | 19 551 |
| Two-test, 18–70 years | 76·4% | 40·9% | 84·5% | 36·0% | 1 468 770 | 1285 | $572 | $193 | $14 058 | $14 600 | 2795 |
| Two-test, 18–60 years | 63·8% | 31·2% | 71·5% | 33·1% | 1 468 572 | 1319 | $383 | $147 | $13 740 | $15 520 | 1934 |
| Two-test, 18–50 years | 53·0% | 21·9% | 54·4% | 28·4% | 1 468 283 | 1374 | $364 | $103 | $13 244 | $18 417 | 1344 |
| Two-test, 18–40 years | 40·6% | 12·9% | 46·1% | 23·2% | 1 467 930 | 1431 | $293 | $61 | $12 883 | $38 054 | 1222 |
| Two-test, 30–40 years | 29·3% | 5·1% | 37·4% | 18·4% | 1 467 746 | 1460 | $281 | $24 | $12 707 | $62 713 | 1056 |
| Status quo | 19·0% | 0·0% | 18·9% | 12·6% | 1 469 338 | 1488 | $244 | $0 | $11 024 | .. | .. |
| Five-test, 18–70 years | 74·7% | 40·6% | 82·8% | 37·4% | 1 470 548 | 1299 | $788 | $192 | $12 820 | $15 696 | 23 123 |
| Three-test, 18–70 years | 74·7% | 38·9% | 82·4% | 37·1% | 1 470 529 | 1305 | $678 | $183 | $12 511 | $13 951 | 20 804 |
| Two-test, 18–70 years | 74·7% | 35·3% | 81·9% | 35·1% | 1 470 525 | 1307 | $507 | $166 | $12 605 | $13 662 | 2810 |
| Two-test, 18–60 years | 62·9% | 26·3% | 66·2% | 32·3% | 1 470 330 | 1360 | $328 | $124 | $12 279 | $16 227 | 1910 |
| Two-test, 18–50 years | 50·7% | 17·8% | 49·9% | 25·8% | 1 470 052 | 1408 | $310 | $84 | $11 806 | $33 260 | 1649 |
| Two-test, 30–50 years | 39·6% | 10·2% | 44·3% | 18·3% | 1 469 941 | 1436 | $281 | $48 | $11 688 | $43 474 | 1357 |
| Two-test, 30–40 years | 29·1% | 3·6% | 31·4% | 14·8% | 1 469 614 | 1467 | $275 | $17 | $11 281 | $72 601 | 1107 |
The age distribution of the cohort resembles the age distribution of the Chinese population in 2020. Only the screening strategies on the cost-effectiveness frontier from figure 1 were compared in the table. HBV=hepatitis B virus. ICER=incremental cost-effectiveness ratio. QALY=quality-adjusted life-year.
Assuming all HBV-seronegative individuals will be referred for vaccination, with a 55–72% vaccine acceptance rate (appendix p 3).
Treatment coverage rate was estimated from available published data (appendix p 3), with further adjustment based on HBV serology and virology data in China (appendix p 3).
Proportion of the population screened via currently available methods (premarital and antenatal)—ie, the status quo.
Figure 1Cost-effectiveness planes for all HBV screening strategies by initiation year 2021 (A), 2026 (B), 2031 (C)
Solid line=cost-effectiveness frontier. Strategies on the cost-effectiveness frontier dominate strategies above the frontier. ICER values were estimated by comparing the current screening strategy in China (status quo) with the next screening strategy on the frontier within the same year. GDP=gross domestic product. HBV=hepatitis B virus. ICER=incremental cost-effectiveness ratio. QALY=quality-adjusted life-years.
Figure 2Cost-effectiveness acceptability curves for all HBV universal screening strategies by initiation year 2021 (A), 2026 (B), and 2031 (C)
GDP=gross domestic product. HBV=hepatitis B virus. QALY=quality-adjusted life-years.