From the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Sex Transm Dis. 2018 Jan;45(1):2-7. doi: 10.1097/OLQ.0000000000000747.
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.
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.
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.
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.
本文旨在描述性传播疾病(STD)项目可用于估算其预算变化对疾病负担和直接医疗成本的潜在影响的方法。
我们提出了两种不同的方法来估计资金变化对后续 STD 负担的潜在影响,一种基于对州级 STD 预防资金和淋病病例率的分析,另一种基于对疾病干预专家(DIS)活动对淋病病例率的影响的分析。我们还说明了项目如何估计预算变化对中间结果(如伙伴服务)的影响。最后,我们提供了一个应用这些方法的示例,用于一个假设的州 STD 预防计划。
我们提出的方法可以提供关于 STD 预防资金变化如何影响提供的 STD 预防服务水平、STD 发病率以及 STD 直接医疗成本负担的一般近似值。在将这些方法应用于一个假设的州时,估计每年减少 20 万美元的资金将导致 STD 随后增加 1.6%至 3.6%。在 10 年内,资金减少总计 200 万美元,而 STD 增加导致的累积额外直接医疗成本总计为 370 万至 840 万美元。
尽管我们提出的方法存在重要限制,但可以让 STD 预防人员计算其预算变化影响的基于证据的估计。