Figures & data
Table 1. Observed relapse-related hospitalization rates and relapse ratesCitation15.
Table 2. Cost inputs in 2011 USDCitation8,Citation17.
Figure 2. Mental healthcare-related estimated direct costs per patient per year (all subjects/relapse-related hospitalization rates). * Using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. ACT, assertive community treatment; error bars represent the 95% confidence interval for each value.
![Figure 2. Mental healthcare-related estimated direct costs per patient per year (all subjects/relapse-related hospitalization rates). * Using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. ACT, assertive community treatment; error bars represent the 95% confidence interval for each value.](/cms/asset/b28abf9c-ff03-4dea-97d2-b7cd321ae7d7/ijme_a_809353_f0002_b.jpg)
Figure 3. Mental healthcare-related estimated direct costs per patient per year (clinical responders/relapse-related hospitalization rates). * Using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. ACT, assertive community treatment; error bars represent the 95% confidence interval for each value.
![Figure 3. Mental healthcare-related estimated direct costs per patient per year (clinical responders/relapse-related hospitalization rates). * Using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. ACT, assertive community treatment; error bars represent the 95% confidence interval for each value.](/cms/asset/63d7b00f-4f7b-49a4-9189-1574fb44781f/ijme_a_809353_f0003_b.jpg)
Figure 4. Univariate sensitivity analysis (all subjects/relapse-related hospitalization rates) using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. Note, the output of the one-way sensitivity analysis is depicted as a tornado diagram, in which the width of the arms represents the influence of that parameter on the model results, while holding all other parameters constant.
![Figure 4. Univariate sensitivity analysis (all subjects/relapse-related hospitalization rates) using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. Note, the output of the one-way sensitivity analysis is depicted as a tornado diagram, in which the width of the arms represents the influence of that parameter on the model results, while holding all other parameters constant.](/cms/asset/5c60503e-e4ab-4b56-8ab8-ef3eb6908511/ijme_a_809353_f0004_b.jpg)
Figure 5. Univariate sensitivity analysis (clinical responders/relapse-related hospitalization rates) using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. Note, the output of the one-way sensitivity analysis is depicted as a tornado diagram, in which the width of the arms represents the influence of that parameter on the model results, while holding all other parameters constant.
![Figure 5. Univariate sensitivity analysis (clinical responders/relapse-related hospitalization rates) using relapse-related hospitalization rates to estimate costs of psychiatric hospitalizations. Note, the output of the one-way sensitivity analysis is depicted as a tornado diagram, in which the width of the arms represents the influence of that parameter on the model results, while holding all other parameters constant.](/cms/asset/e6bbbedf-802b-4df4-9efe-33804eb95c97/ijme_a_809353_f0005_b.jpg)