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• W2765206948 abstract "In Brief Background The purpose of this article was to describe methods that sexually transmitted disease (STD) programs can use to estimate the potential effects of changes in their budgets in terms of disease burden and direct medical costs. Methods We proposed 2 distinct approaches to estimate the potential effect of changes in funding on subsequent STD burden, one based on an analysis of state-level STD prevention funding and gonorrhea case rates and one based on analyses of the effect of Disease Intervention Specialist (DIS) activities on gonorrhea case rates. We also illustrated how programs can estimate the impact of budget changes on intermediate outcomes, such as partner services. Finally, we provided an example of the application of these methods for a hypothetical state STD prevention program. Results The methods we proposed can provide general approximations of how a change in STD prevention funding might affect the level of STD prevention services provided, STD incidence rates, and the direct medical cost burden of STDs. In applying these methods to a hypothetical state, a reduction in annual funding of US $200,000 was estimated to lead to subsequent increases in STDs of 1.6% to 3.6%. Over 10 years, the reduction in funding totaled US $2.0 million, whereas the cumulative, additional direct medical costs of the increase in STDs totaled US $3.7 to US $8.4 million. Conclusions The methods we proposed, though subject to important limitations, can allow STD prevention personnel to calculate evidence-based estimates of the effects of changes in their budget. We describe methods that sexually transmitted disease (STD) programs can use to estimate the potential impact of changes in their budgets, including changes in STD services provided, STD incidence rates, and STD costs." @default.
• W2765206948 created "2017-11-10" @default.
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• W2765206948 date "2018-01-01" @default.
• W2765206948 modified "2023-10-15" @default.
• W2765206948 title "Methods for Sexually Transmitted Disease Prevention Programs to Estimate the Health and Medical Cost Impact of Changes in Their Budget" @default.
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• W2765206948 doi "https://doi.org/10.1097/olq.0000000000000747" @default.
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