| Literature DB >> 32545688 |
Auliya A Suwantika1,2,3, Angga P Kautsar4,5, Woro Supadmi6, Neily Zakiyah1,2, Rizky Abdulah1,2, Mohammad Ali7, Maarten J Postma2,8,9.
Abstract
Despite the fact that morbidity and mortality rates due to dengue infection in Indonesia are relatively high, a dengue vaccination has not yet been introduced. Next to vaccination, Wolbachia-infected mosquitoes and health education have been considered to be potential interventions to prevent dengue infection in Indonesia. This study was aimed to analyse the cost-effectiveness of dengue vaccination in Indonesia whilst taking Wolbachia and health education programs into account. An age-structured decision tree model was developed to assess the cost-effectiveness. Approximately 4,701,100 children were followed-up in a 10-year time horizon within a 1-year analytical cycle. We compared three vaccination strategies: one focussing on vaccination only, another combining vaccination and a Wolbachia program, and a third scenario combining vaccination and health education. All scenarios were compared with a no-intervention strategy. The result showed that only vaccination would reduce dengue fever (DF), dengue haemorrhagic fever (DHF), and dengue shock syndrome (DSS) by 123,203; 97,140 and 283 cases, respectively. It would save treatment cost at $10.3 million and $6.2 million from the healthcare and payer perspectives, respectively. The combination of vaccination and a Wolbachia program would reduce DF, DHF and DSS by 292,488; 230,541; and 672 cases, respectively. It would also save treatment cost at $24.3 million and $14.6 million from the healthcare and payer perspectives, respectively. The combination of vaccination and health education would reduce DF, DHF, and DSS by 187,986; 148,220; and 432 cases, respectively. It would save treatment cost at $15.6 million and $9.4 million from the healthcare and payer perspectives, respectively. The incremental cost-effectiveness ratios (ICERs) from the healthcare perspective were estimated to be $9,995, $4,460, and $6,399 per quality-adjusted life year (QALY) gained for the respective scenarios. ICERs from the payer perspective were slightly higher. It can be concluded that vaccination combined with a Wolbachia program was confirmed to be the most cost-effective intervention. Dengue infection rate, vaccine efficacy, cost of Wolbachia program, underreporting factor for hospitalization, vaccine price and mortality rate were considered to be the most influential parameters affecting the ICERs.Entities:
Keywords: dengue fever (DF), dengue haemorrhagic fever (DHF), dengue shock syndrome (DSS), cost-effective; incremental cost-effectiveness ratios (ICER)
Mesh:
Year: 2020 PMID: 32545688 PMCID: PMC7345186 DOI: 10.3390/ijerph17124217
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Decision tree model.
Parameters used in the model.
| Parameters | Value | Distribution | Reference |
|---|---|---|---|
|
| |||
| Dengue infection rate | 0.05% | Dirichlet | [ |
| Case fatality rate | 0.83% | Dirichlet | [ |
| Probability of DF | 39.80% | Dirichlet | [ |
| Probability of DHF | 59.80% | Dirichlet | [ |
| Probability of DSS | 0.40% | Dirichlet | [ |
| Probability of outpatient (DF) | 68% | Dirichlet | [ |
| Probability of hospitalization (DF) | 32% | Dirichlet | [ |
| Probability of outpatient (DHF) | 26.10% | Dirichlet | [ |
| Probability of hospitalization (DHF) | 73.90% | Dirichlet | [ |
| Probability of outpatient (DSS) | 0% | Dirichlet | [ |
| Probability of hospitalization (DSS) | 100.00% | Dirichlet | [ |
| Expansion factor for outpatient | 45.90 | Dirichlet | [ |
| Expansion factor for hospitalization | 7.65 | Dirichlet | [ |
|
| |||
| Healthcare cost of outpatient | $19,22 | Gamma | [ |
| Healthcare cost of hospitalization | $297,79 | Gamma | [ |
| Payer cost of outpatient | $0,62 | Gamma | [ |
| Payer cost of hospitalization | $227,94 | Gamma | [ |
| Vaccine price per dose | $20,00 | Gamma | [ |
| Cost of vaccine administration | $3,42 | Gamma | [ |
| Cost of | $3,00 | Alternative scenario | [ |
| Cost of health education | $0,02 | Alternative scenario | [ |
| Vaccine characteristics | |||
| Vaccine efficacy | 44.00% | Alternative scenario | [ |
| Vaccine coverage | 87.56% | Alternative scenario | [ |
| Schedule (3-dose for >9 years old) | 6-month interval | [ | |
| Wastage rate | 10% | Alternative scenario | [ |
|
| |||
| QALY loss of outpatient | 0.00009 | Beta | [ |
| QALY loss of hospitalization | 0.00038 | Beta | [ |
| QALY loss of fatal | 1 | Beta | [ |
|
| |||
| Targeted population | 4,701,100 | Unvaried | [ |
| Discount rate | 3.00% | Unvaried | [ |
| Time horizon | 10 years | Unvaried |
QALY = quality-adjusted life year
Figure 2Number of cases averted.
Figure 3Averted treatment cost.
Figure 4Incremental cost-effectiveness ratio.
Figure 5(a) Univariate sensitivity analysis (vaccination only); (b) Univariate sensitivity analysis (vaccination + Wolbachia program); (c) Univariate sensitivity analysis (vaccination + health education).
Figure 6Cost-effectiveness acceptability curves from the healthcare perspective.
Figure 7(a) Affordability curves from the healthcare perspective (vaccination only); (b) Affordability curves from the healthcare perspective (vaccination + Wolbachia program); (c) Affordability curves from the healthcare perspective (vaccination + health education).