30 research outputs found

    Effect of the California Tobacco Control Program on Personal Health Care Expenditures

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    Background: Large state tobacco control programs have been shown to reduce smoking and would be expected to affect health care costs. We investigate the effect of California\u27s large-scale tobacco control program on aggregate personal health care expenditures in the state. Methods and Findings: Cointegrating regressions were used to predict (1) the difference in per capita cigarette consumption between California and 38 control states as a function of the difference in cumulative expenditures of the California and control state tobacco control programs, and (2) the relationship between the difference in cigarette consumption and the difference in per capita personal health expenditures between the control states and California between 1980 and 2004. Between 1989 (when it started) and 2004, the California program was associated with 86billion(2004USdollars)(9586 billion (2004 US dollars) (95% confidence interval [CI] 28 billion to $151 billion) lower health care expenditures than would have been expected without the program. This reduction grew over time, reaching 7.3% (95% CI 2.7%-12.1%) of total health care expenditures in 2004. Conclusions: A strong tobacco control program is not only associated with reduced smoking, but also with reductions in health care expenditures

    Cost Optimization in the SIS Model of Infectious Disease with Treatment

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    We consider the intertemporal social optimization problem of minimizing the present value of the costs incurred from both disease and treatment. Though the analysis is complicated by the analytical failure of concavity , we are able to substantially characterize both the long run equilibria and the adjustment paths. The cost minimizing program is shown to exhibit a tendancy towards decreased levels of treatment in the presence of higher disease levels. The socially optimal program is compared to individually rational behavior and the inefficiencies in private behavior from the infection externality are shown to cause potentially large increases in the equilibrium rate of infection. 1. Introduction to Economics Of Medical Treatment In The SIS Infectious Disease Model 1.1. Background The control of infectious disease has been one of the most dramatic successes of modern science. It has certainly been one of its most important contributions to the current standard of living in..

    Cost Optimization in the SIS Model of Infectious Disease with Treatment

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    cost optimization, infectious disease, SIS model, Diseases, Economics, Growth and Development, Medicine and Health Sciences, Public Economics

    The SIS Model of Infectious Disease with Treatment

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    The paper examines the steady state solutions to rational treat-ment patterns of SIS dieases. Individual behavior is shown to lead to the possibility of signi cant undertreatment through the presence of unrewarded external bene ts. 1

    1. Introductionto Economics Of Medical Treatment In The

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    We consider the intertemporal social optimization problem of minimizing the present value of the costs incurred from both disease and treatment. Though the analysis is complicated by the analytical failure of concavity, we are able to substantially characterize both the long run equilibria and the adjustment paths. The cost minimizing program is shown to exhibit a tendancy towards decreased levels of treatment in the presence of higher disease levels. The socially optimal program is compared to individually rational behavior and the ine±ciencies in private behavior from the infection externality are shown to cause potentially large increases in the equilibrium rate of infection

    Smoking and healthcare expenditure reductions associated with the California Tobacco Control Program, 1989 to 2019: A predictive validation.

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    BackgroundPrevious research used data through 2008 to estimate a model for the effect of the California Tobacco Control Program (CTCP) that used cumulative real per capita tobacco control expenditure to predict smoking behavior (current adult smoking prevalence and mean cigarette consumption per current smoker). Predicted changes in smoking behavior due to the CTCP were used to predict its effect on health care expenditure. This research updates the model using the most recently available data and estimates CTCP program effect through 2019.MethodsThe data used in the previous research were updated, and the original model specification and a related predictive forecast model were re-estimated. The updated regression estimates were compared to those previously published and used to update estimates of CTCP program effect in 2019 dollars.ResultsThere was no evidence of structural change in the previously estimated model. The estimated effect of the CTCP program expenditures on adult current smoking prevalence and mean consumption per adult current smoker has remained stable over time. Over the life of the program, one additional dollar per capita of program expenditure was associated with a reduction of current adult smoking prevalence by about 0.05 percentage point and mean annual consumption per adult current smoker by about 2 packs. Using updated estimates, the program prevented 9.45 (SE 1.04) million person-years of smoking and cumulative consumption of 15.7 (SE 3.04) billion packs of cigarettes from 1989 to 2019. The program produced cumulative savings in real healthcare expenditure of 544(SE544 (SE 82) billion using the National Income and Product Accounts (NIPA), and 816(SE816 (SE 121) billion using the Center for Medicare and Medicaid Services (CMS) measure of medical costs. During this time, the CTCP expenditure was $3.5 billion.ConclusionA simple predictive model of the effectiveness of the CTCP program remained stable and retains its predictive performance out-of-sample. The updated estimates of program effect suggest that CTCP program has retained its effectiveness over its 31-year life and produced a return on investment of 231 to 1 in direct CMS medical expenditure

    Cost Optimization in the SIS Model of Infectious Disease with Treatment.

    No full text
    We consider the intertemporal social optimization problem of minimizing the present value of the costs incurred from both disease and treatment. Though the analysis is complicated by the analytical failure of concavity, we are able to substantially characterize both the long run equilibria and the adjustment paths. The cost minimizing program is shown to exhibit a tendency towards decreased levels of treatment in the presence of higher disease levels. The socially optimal program is compared to individually rational behavior and the inefficiencies in private behavior from the infection externality are shown to cause potentially large increases in the equilibrium rate of infection.
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