| Literature DB >> 35455244 |
Xuechen Xiong1,2, Jing Li1,3, Bo Huang3,4, Tony Tam5, Yingyi Hong6, Ka-Chun Chong7, Zhaohua Huo7.
Abstract
Objective The coronavirus disease 2019 (COVID-19) pandemic has imposed significant costs on economies. Safe and effective vaccines are a key tool to control the pandemic; however, vaccination programs can be costly. Are the benefits they bestow worth the costs they incur? The relative value of COVID-19 vaccines has not been widely assessed. In this study, a cost-effectiveness analysis was performed to provide evidence of the economic value of vaccines in Hong Kong. Method We developed a Markov model of COVID-19 infections using a susceptible-infected-recovered structure over a 1-year time horizon from a Hong Kong healthcare sector perspective to measure resource utilization, economic burden, and disease outcomes. The model consisted of two arms: do nothing and implement a vaccination program. We assessed effectiveness using units of quality-adjusted life years (QALYs) to measure the incremental cost-effectiveness at a HKD 1,000,000/QALY threshold. Results The vaccination program, which has reached approximately 72% of the population of Hong Kong with two vaccine doses, was found to have a cost of HKD 22,339,700 per QALY gained from February 2021 to February 2022. At a willingness-to-pay threshold, the vaccination program was not cost-effective in the context of the low prevalence of COVID-19 cases before the Omicron wave. However, the cost-effectiveness of a COVID-19 vaccine is sensitive to the infection rate. Hong Kong is now experiencing the fifth wave of the Omicron. It is estimated that the ICER of the vaccination program from February 2022 to February 2023 was HKD 310,094. The vaccination program in Hong Kong was cost-effective in the context of the Omicron. Conclusions Vaccination programs incur a large economic burden, and we therefore need to acknowledge their limitations in the short term. This will help relevant departments implement vaccination programs. From a longer-term perspective, the vaccination program will show great cost-effectiveness once infection rates are high in a regional outbreak. Compared with other age groups, it is suggested that the elderly population should be prioritized to improve the vaccine coverage rate.Entities:
Keywords: Hong Kong; cost-effectiveness; economic analysis; vaccine
Year: 2022 PMID: 35455244 PMCID: PMC9024961 DOI: 10.3390/vaccines10040495
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Markov model of COVID-19 disease progression.
Model main parameters.
| Parameter | Parameter | Based Value | References |
|---|---|---|---|
| Transition Parameters | |||
| No vaccination Program | S to I | 0.12% | [ |
| I to I1 | 95.75% | [ | |
| I to I2 | 4.25% | ||
| I2 to I3 | 64.00% | ||
| I1 to R | 100% | ||
| I2/I3 to R | 62.35% | ||
| I2/I3 to D | 37.65% | ||
| Effect modification of Vaccine | |||
| Probability of vaccinated | 70.0% | [ | |
| Age 3–11 | 1.8% | ||
| Age 12–19 | 66.9% | ||
| Age 20–59 | 86.2% | ||
| Age over 60 | 61.6% | ||
| Sinovac | Probability of vaccinated by Sinovac | 38.7% | [ |
| Primary Efficacy for mild case | 83.70% [57.99–93.67%] | [ | |
| Primary Efficacy for severe case | 100% [56.4–100%] | ||
| Primary Efficacy for death | 100% [56.4–100%] | Assumed | |
| Biontech | Probability of vaccinated by Biontech | 61.3% | [ |
| Primary Efficacy for mild case | 91.3% [89.0–93.2%] | [ | |
| Primary Efficacy for severe case | 95.3% [71.0–100%] | ||
| Primary Efficacy for death | 95.3% [71.0–100%] | Assumed | |
| Cost and Utility Parameters | |||
| Health care cost | Cost of Sinovac (per dose) | HKD 369 | [ |
| Cost of Biontech (per dose) | HKD 369 | ||
| Operation cost (per dose) | HKD 196 | ||
| Cost of general ward/day | HKD 5100 | [ | |
| Cost of ICU/day | HKD 24400 | ||
| Cost of Reverse transcription polymerase chain reaction (RT-PCR) Test | HKD 240 | [ | |
| Productivity Loss | Loss of salary per person per day | HKD 600 | [ |
| Utility Loss | Health utility loss of S Susceptible | 0.081 | [ |
| Health utility loss of I1 Mild/moderate | 0.50 | [ | |
| Health utility loss of I2 | 0.75 | [ | |
| Health utility loss of I3 | 0.95 | [ | |
Incremental cost-effectiveness ratio of the COVID-19 vaccination program in Hong Kong.
| Scenario | Cost | Outcome | ICER | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Infection Rate | Comparators | Cases | Death | QALYs | HKD/Case | HKD/Death | HKD/QALYs | ||
| 0.12% | No Vaccine | 0.84 | 9630 | 269 | 7,393,955 | ||||
| Vaccination Program | 5.80 | 3704 | 67 | 7,394,177 | 836,364 | 24,533,333 | 22,339,700 | ||
| 10.0% | Lower Protect | No Vaccine | 85.1 | 953,215 | 25,053 | 7,358,898 | |||
| Vaccination Program | 73.8 | 831,656 | 8620 | 7,372,388 | −31,468 | −687,705 | −837,699 | ||
| Home quarantine | No Vaccine | 5.1 | 954,158 | 23,975 | 7,359,845 | ||||
| Vaccination Program | 7.4 | 355,385 | 8688 | 7,381,766 | −6388 | 146,696 | 102,303 | ||
| Home quarantine and Lower Protect | No Vaccine | 5.1 | 948,703 | 24,043 | 7,360,067 | ||||
| Vaccination Program | 8.8 | 827,682 | 9092 | 7,372,033 | −31,608 | 248,198 | 310,094 | ||
Figure 2Tornado diagram of a one-way sensitivity analysis of parameter variabilities.
Figure 3Tornado diagram of a one-way sensitivity analysis of vaccination rates by age group.
Incremental cost-effectiveness ratio of the COVID-19 vaccination program adjusted for different levels of the basic infection rate in Hong Kong.
| Scenario | Cost | Outcome | ICER | Cohen’s D | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Basic Infection Rate | Comparators | Cases | Death | QALYs | HKD/Case | HKD/Death | HKD/QALYs | Cost | QALYs | ||
| A | 0.12% | No Vaccine | 0.8 | 9630 | 269 | 7,393,955 | |||||
| Vaccination Program | 5.8 | 3704 | 67 | 7,394,177 | 836,364 | 24,533,333 | 22,339,700 | 11.5 | 0.4 | ||
| B | 025% | No Vaccine | 1.6 | 15,422 | 539 | 7,393,519 | |||||
| Vaccination Program | 6.2 | 5657 | 202 | 7,393,962 | 461,379 | 13,380,000 | 10,153,029 | 6.8 | 0.7 | ||
| C | 0.5% | No Vaccine | 3.6 | 40,273 | 1145 | 7,392,690 | |||||
| Vaccination Program | 6.8 | 14,681 | 404 | 7,393,740 | 123,684 | 4,272,727 | 3,013,910 | 4.8 | 1.1 | ||
| D | 1% | No Vaccine | 6.9 | 77,717 | 2424 | 7,391,470 | |||||
| Vaccination Program | 8.0 | 29,093 | 875 | 7,393,334 | 22,576 | 708,696 | 588,990 | 1.1 | 1.6 | ||
| E | 1.2% | No Vaccine | 8.6 | 97,315 | 2559 | 7,390,538 | |||||
| Vaccination Program | 8.7 | 35,626 | 943 | 7,392,934 | 17,795 | 12,500 | 8431 | 0.0 | 1.8 | ||
| F | 1.5% | No Vaccine | 10.6 | 118,529 | 2829 | 7,390,072 | |||||
| Vaccination Program | 9.3 | 43,910 | 808 | 7,392,831 | −16,877 | −623,333 | −456,513 | −1.1 | 2.3 | ||
| G | 2% | No Vaccine | 14.5 | 160,216 | 4175 | 7,388,097 | |||||
| Vaccination Program | 10.6 | 59,669 | 1549 | 7,391,899 | −38,044 | −1,456,410 | −1,006,250 | −2.7 | 2.0 | ||
| H* | 5% | No Vaccine | 2.6 | 475,867 | 12,392 | 7,376,796 | |||||
| Vaccination Program | 7.2 | 415,323 | 4512 | 7,383,127 | −63,181 | 582,906 | 725,490 | 15.3 | 2.2 | ||
| I* | 10% | No Vaccine | 5.1 | 948,703 | 24,043 | 7,360,067 | |||||
| Vaccination Program | 8.8 | 827,682 | 9092 | 7,372,033 | −31,608 | 248,198 | 310,094 | 8.8 | 3.0 | ||
| J* | 20% | No Vaccine | 10.2 | 1,885,755 | 49,499 | 7,325,343 | |||||
| Vaccination Program | 12.2 | 1,646,812 | 17,443 | 7,350,423 | −16,009 | 61,345 | 78,411 | 3.5 | 4.6 | ||
| K* | 30% | No Vaccine | 15.1 | 2,795,734 | 73,138 | 7,291,951 | |||||
| Vaccination Program | 15.3 | 2,448,094 | 24,985 | 7,329,714 | −11,003 | 5734 | 7312 | 0.4 | 5.8 | ||
Note: Scenario H*, I*, J* and K* were simulated under the Omicron wave with lower protection rate against mild disease and home quarantine.
Incremental cost-effectiveness ratio of the COVID-19 vaccination program adjusted for different levels of the protection rate under Omicron wave in Hong Kong.
| Scenario | Cost | Outcome | ICER | Cohen’s D | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Efficacy for Mild | Comparators | Cases | Death | QALYs | HKD/Case | HKD/Death | HKD/QALYs | Cost | QALYs | ||
| I | 16.5% | No Vaccine | 5.1 | 948,703 | 24,043 | 7,360,067 | |||||
| Vaccination Program | 8.8 | 827,682 | 9092 | 7,372,033 | −31,608 | 248,198 | 310,094 | 8.8 | 3.0 | ||
| L | 30.0% | No Vaccine | 5.2 | 941,834 | 23,504 | 7,360,363 | |||||
| Vaccination Program | 8.5 | 723,229 | 8553 | 7,374,733 | −17,498 | 228,378 | 237,605 | 8.4 | 3.7 | ||
| M | 45.6% | No Vaccine | 5.2 | 953,821 | 24,716 | 7,359,623 | |||||
| Vaccination Program | 8.1 | 601,871 | 8082 | 7,377,233 | −10,869 | 174,899 | 165,213 | 6.2 | 4.1 | ||
| N | 70.0% | No Vaccine | 5.2 | 947,558 | 25,996 | 7,358,802 | |||||
| Vaccination Program | 7.7 | 462,600 | 9092 | 7,379,585 | −7888 | 146,614 | 119,251 | 5.6 | 4.9 | ||
| O | 91.3% | No Vaccine | 5.1 | 951,060 | 24,851 | 7,359,934 | |||||
| Vaccination Program | 7.3 | 33,4036 | 9024 | 7,382,040 | −6200 | 135,319 | 96,877 | 5.2 | 5.2 | ||
Incremental cost-effectiveness ratio of the COVID-19 vaccination program adjusted for different vaccination rate under Omicron wave in Hong Kong.
| Scenario | Cost | Outcome | ICER | Cohen’s D | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Vaccination Rate | Comparators | Cases | Death | QALYs | HKD/Case | HKD/Death | HKD/QALYs | Cost | QALYs | ||
| I | 72% | No Vaccine | 5.1 | 948,703 | 24,043 | 7,360,067 | |||||
| Vaccination Program | 8.8 | 827,682 | 9092 | 7,372,033 | −31,608 | 248,198 | 310,094 | 8.8 | 3.0 | ||
| P | 80% | No Vaccine | 5.2 | 950,791 | 25,053 | 7,359,512 | |||||
| Vaccination Program | 9.5 | 815,223 | 7004 | 7,373,594 | −28,217 | 225,000 | 288,384 | 9.4 | 3.5 | ||
| Q | 90% | No Vaccine | 5.2 | 947,356 | 25,120 | 7,359,453 | |||||
| Vaccination Program | 9.7 | 798,589 | 4512 | 7,375,754 | −25,713 | 220,915 | 279,290 | 10.8 | 4.3 | ||
Figure 4C–E plane of vaccination program of Hong Kong with scenarios in different infection rates, protection rates, and vaccination rates. (Point A–G show scenarios in different levels of the infection rate before Omicron wave. Point H–K show scenarios in different levels of the infection rate under Omicron wave. Point I, L–O show scenarios in different protection rate. Point I, P–Q shows scenarios in different vaccination rate.)