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© 1989 Oxford University Press

research-article

Epidemiological Model and Cost-Effectiveness Analysis of Tuberculosis Treatment Programmes in Indonesia

M R JOESOEF*, P L REMINGTON** and P T JIPTOHERIJANTO{dagger}

*Division of Chronic Disease Control, Center for Environmental Health and Injury Control, Centers for Disease Control, Public Health Service, US Department of Health and Human Services Atlanta, Georgia 30333, USA.
**Division of Nutrition, Center for Health Promotion and Education, Public Health Service, US Department of Health and Human Services, Centers for Disease Control Atlanta, GA 30333, USA.
{dagger}School of Economics, University of Indonesia Jakarta, Indonesia.

Joesoef M R (Division of Chronic Disease Control, Center for Environmental Health and Injury Control, Centers for Disease Control, US Department of Health and Human Services, Atlanta, Georgia 30333, USA), Remington PL and Tjiptoherijanto P. Epidemiological model and cost-effectiveness analysis of tuberculosis treatment programmes in Indonesia. International Journal of Epidemiology 1989, 18: 174–179.

An epidemiological model of tuberculosis, based on the natural history of tuberculosis and the control programmes in Indonesia, was constructed. This model was used for estimating future tuberculosis-prevented cases and costs for three treatment strategies— the 100% standard course, the 100% short course, and the existing strategy (a combination of 65% standard course and 35% short course)—in accordance with the master plan of the Indonesian Government's tuberculosis control programme. A cost-effectiveness analysis of the three strategies confirmed that the short-course strategy was the most cost-effective. Sensitivity analysis, which applied a broad range of parameters, continued to confirm the short-course strategy as the most cost-effective. If the short-course strategy had been applied in 1980 instead of the existing strategy (using the most likely parameters), the short-course strategy would prevent 1.8 million sputum-positive cases and would save 61.0 million dollars by the year 2000.

Revised 1 May 1988


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