Table 2.
Attribute | N | % |
---|---|---|
Population and perspective | ||
Regiona | ||
South Africa | 7 | 64 |
Thailand | 4 | 36 |
United States | 2 | 18 |
Other | 2 | 18 |
Population scope | ||
District | 1 | 9 |
Single country | 7 | 64 |
Several countries | 3 | 27 |
Perspective | ||
Payer | 1 | 9 |
Government | 1 | 9 |
Health system | 5 | 45 |
Limited societal | 4 | 36 |
Defined willingness to pay | 9 | 82 |
Discounted costs, 3% | 11 | 100 |
Discounted outcomes, 3% | 8 | 73 |
Modeling methods | ||
Model type | ||
Decision tree | 1 | 9 |
Markov or semi-Markov | 5 | 45 |
Compartmental, ODE | 4 | 36 |
Agent-based | 1 | 9 |
Dynamic HIV transmission | 5 | 45 |
Outcome measurement | ||
LYs | 4 | 36 |
DALYs | 2 | 18 |
QALYs | 6 | 55 |
Time horizon | ||
10-year horizon | 3 | 27 |
20- to 43-year horizon | 3 | 27 |
Lifetime horizon | 5 | 45 |
HIV vaccine characteristics | ||
Age at vaccination | ||
Infant | 1 | 9 |
9–15 years | 4 | 36 |
>15 years | 6 | 55 |
HIV vaccine efficacy, average | ||
<50% | 7 | 64 |
>50% | 4 | 36 |
Vaccine durability | ||
Lifetime protection | 3 | 27 |
Waning protection | 8 | 73 |
Vaccine boosting | 7 | 64 |
Price per seriesa | ||
≤$US5 | 2 | 18 |
$US20 | 3 | 27 |
$US50–100 | 6 | 55 |
>$US500 | 2 | 18 |
Risk compensation | 5 | 45 |
Results and conclusions | ||
ICERs (per QALY, DALY, or LY) | ||
Dominant, cost saving | 2 | 18 |
$US3–100 | 4 | 36 |
>$US1000 | 5 | 45 |
Cost-effectiveness interpretation | ||
Cost-effective | 8 | 73 |
Unlikely cost-effective | 2 | 18 |
No interpretation | 1 | 9 |
DALYs disability-adjusted life-years, ICER incremental cost-effectiveness ratio, LYs life-years, ODE ordinary differential equations, QALYs quality-adjusted life-years
aThe Goals model includes 24 countries and assumed a price of $US20 for low-income countries and $US55 for middle-income countries