The Estimated Impact of Implementing a Funding Allocation Formula on the Number of Gonorrhea Cases in the United States, 2014 to 2018.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) allocates funds annually to state and local programs in the United States to monitor and prevent sexually transmitted diseases (STDs). In 2014, a funding formula was implemented to allocate prevention funds to jurisdictions according to their STD burden and population size. We estimated the effect of implementing the funding formula in terms of gonorrhea cases averted from 2014 to 2018, a period during which inflation-adjusted CDC STD prevention funding declined. METHODS: Our model assumed that STD prevention funds have a measurable effect on subsequent reported gonorrhea case rates, and the magnitude of this effect was as estimated in an empirical analysis of decades of state-level gonorrhea rates. In applying this equation-based model, we assumed all factors affecting jurisdictions' gonorrhea rates were constant over time except for their STD prevention funding allocations. We used data on CDC STD prevention funding allocated to each jurisdiction over time. We estimated gonorrhea rates under the "funding formula" scenario compared with a hypothetical "status quo" funding scenario, which reflected traditional methods to allocate prevention funds. RESULTS: In the model, gonorrhea cases increased from 2014 to 2018 by approximately 6% because of a decline in prevention funding, regardless of how funds were allocated. However, the estimated increase in gonorrhea cases was 5222 (range, 1181-9195) cases less in the funding formula scenario than in the status quo scenario. CONCLUSIONS: By shifting resources toward jurisdictions with greater disease burden, the funding formula averted a substantial number of gonorrhea cases at no additional cost.

Trends in Women With an HIV Diagnosis at Delivery Hospitalization in the United States, 2006-2014.

OBJECTIVES: The risk of mother-to-child HIV transmission can be reduced to ≤0.5% if the mother's HIV status is known before delivery. This study describes 2006-2014 trends in diagnosed HIV infection documented on delivery discharge records and associated sociodemographic characteristics among women who gave birth in US hospitals. METHODS: We analyzed data from the 2006-2014 National Inpatient Sample and identified delivery discharges and women with diagnosed HIV infection by using International Classification of Diseases, Ninth Revision, Clinical Modification codes. We used a generalized linear model with log link and binomial distribution to assess trends and the association of sociodemographic characteristics with an HIV diagnosis on delivery discharge records. RESULTS: During 2006-2014, an HIV diagnosis was documented on approximately 3900-4400 delivery discharge records annually. The probability of having an HIV diagnosis on delivery discharge records decreased 3% per year (adjusted relative risk [aRR] = 0.97; 95% CI, 0.94-0.99), with significant declines identified among white women aged 25-34 (aRR = 0.93; 95% CI, 0.88-0.97) or those using Medicaid (aRR = 0.93; 95% CI, 0.90-0.97); among black women aged 25-34 (aRR = 0.95; 95% CI, 0.92-0.99); and among privately insured women who were black (aRR = 0.96; 95% CI, 0.92-0.99), Hispanic (aRR = 0.92; 95% CI, 0.86-0.98), or aged 25-34 (aRR = 0.96; 95% CI, 0.92-0.99). The probability of having an HIV diagnosis on delivery discharge records was greater for women who were black (aRR = 8.45; 95% CI, 7.56-9.44) or Hispanic (aRR = 1.56; 95% CI, 1.33-1.83) than white; for women aged 25-34 (aRR = 2.33; 95% CI, 2.12-2.55) or aged ≥35 (aRR = 3.04; 95% CI, 2.79-3.31) than for women aged 13-24; and for Medicaid recipients (aRR = 2.70; 95% CI, 2.45-2.98) or the uninsured (aRR = 1.87; 95% CI, 1.60-2.19) than for privately insured patients. CONCLUSION: During 2006-2014, the probability of having an HIV diagnosis declined among select sociodemographic groups of women delivering neonates. High-impact prevention efforts tailored to women remaining at higher risk for HIV infection can reduce the risk of mother-to-child HIV transmission.