Table 1.
Number and percentage of fecund married or unmarried, sexually active women in Uganda who desire contraception and the different kinds of contraceptive methods under the CCP and NCP*.
Figure 1.
The model illustrates the different states of contraception through which women between 15 and 49 years of age in Uganda transition. Each state is associated with a cost and a value of disability-adjusted life years lost. All states may progress to dead.
Table 2.
Age-specific transition probabilities from different states of contraceptive use, pregnancy and death.
Table 3.
Parameters of the Markov model.
Table 4.
Results of a cost-consequences analysis for a hypothetical cohort of 100,000 Ugandan women.
Table 5.
Results of the baseline analysis showing the mean costs (per woman), incremental costs, DALE, incremental DALE and ICERs comparing NCP to the CCP.
Table 6.
Mean incremental costs (per woman) and health outcomes comparing the new contraceptive program to the current contraceptive program in Uganda*.
Figure 2.
Tornado diagrams of univariate sensitivity analysis from the societal perspective.
The diagram shows, for a comparison between the new contraceptive program and the current contraceptive program, the impact of uncertainty surrounding different variables on incremental cost (a) and incremental disability-adjusted life years (b). The most influential variables are shown.
Figure 3.
Incremental cost-effectiveness scatter plot obtained from probabilistic sensitivity analysis.
The figure shows the distribution of cost-effectiveness pairs on the cost-effectiveness plane.
Figure 4.
Cost-effectiveness acceptability curves obtained from probabilistic sensitivity analysis.
The curves show, for 10,000 simulated samples, the probability that the new contraceptive program is cost-effective compared to the current contraceptive program at varying thresholds of cost-effectiveness (willingness to pay to avert an additional disability-adjusted life year).