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Objective: AIDS Drug Assistance Programs (ADAPs) are state-administered programs that pay for medical care and medication for people living with HIV (PLWH) in the United States. In October 2021, the federal policy requiring that clients recertify for the program every 6 months was repealed, giving states the authority to set their own recertification policies. However, little data exist on the costs and health effects of alternative recertification schedules. We assessed the cost of changing the legacy 6-month recertification to a 12-month schedule in Washington State to inform policy decisions on recertification. Methods: We used a Markov model to simulate the population of PLWH in Washington State who are eligible or enrolled in ADAP. We obtained model inputs and validation data from the Washington State Ryan White database. We estimated the cost of 12-month and 6-month criteria over a 5-year time horizon. Model outputs included annual program costs, population sizes, and number of people virally suppressed, by scenario. Results: Under a continuation of the legacy 6-month recertification criteria, the annual cost of Washington ADAP would be $37 663 000 (95% CI, $34 570 000-$41 686 000) during the next 5 years, with a per-client cost of $7966 (95% CI, $7478-$8494). Under 12-month criteria, the annual cost would be $40 217 000 (95% CI, $36 243 000-$44 401 000) and the per-client cost would be $7543 (95% CI, $7084-$8042). Under the 12-month scenario, 245 more people will have been virally suppressed by the end of 2025. Conclusions: Switching to a less frequent recertification process may improve health outcomes at a modest increase in cost in Washington State. [ABSTRACT FROM AUTHOR]

AIDS Drug Assistance Programs (ADAPs) are state-administered programs that pay for medical care for people living with HIV in the US. Maintaining enrollment in the programs is challenging, and a large proportion of clients in Washington state (WA) fail to recertify and are disenrolled. In this study we sought to quantify the impact of disenrollment from ADAPs on viral suppression. We conducted a retrospective cohort study of the 5238 clients in WA ADAP from 2017 to 2019 and estimated the risk difference (RD) of viral suppression before and after disenrollment. We performed a quantitative bias analysis (QBA) to assess the effect of unmeasured confounders, as the factors that contribute to disenrollment and medication discontinuation may overlap. Of the 1336 ADAP clients who disenrolled ≥1 time, 83% were virally suppressed before disenrollment versus 69% after (RD 12%, 95%CI 9–15%). The RD was highest among clients with dual Medicaid-Medicare insurance (RD 22%, 95%CI 9–35%) and lowest among privately insured individuals (RD 8%, 95%CI 5–12%). The results of the QBA suggest that unmeasured confounders do not negate the overall RD. The ADAP recertification procedures negatively impact the care of clients who struggle to stay in the program; alternative procedures may reduce this impact. [ABSTRACT FROM AUTHOR]

Molecular cluster detection can be used to interrupt HIV transmission but is dependent on identifying clusters where transmission is likely. We characterized molecular cluster detection in Washington State, evaluated the current cluster investigation criteria, and developed a criterion using machine learning. The population living with HIV (PLWH) in Washington State, those with an analyzable genotype sequences, and those in clusters were described across demographic characteristics from 2015 to2018. The relationship between 3- and 12-month cluster growth and demographic, clinical, and temporal predictors were described, and a random forest model was fit using data from 2016 to 2017. The ability of this model to identify clusters with future transmission was compared to Centers for Disease Control and Prevention (CDC) and the Washington state criteria in 2018. The population with a genotype was similar to all PLWH, but people in a cluster were disproportionately white, male, and men who have sex with men. The clusters selected for investigation by the random forest model grew on average 2.3 cases (95% CI 1.1–1.4) in 3 months, which was not significantly larger than the CDC criteria (2.0 cases, 95% CI 0.5–3.4). Disparities in the cases analyzed suggest that molecular cluster detection may not benefit all populations. Jurisdictions should use auxiliary data sources for prediction or continue using established investigation criteria. [ABSTRACT FROM AUTHOR]

Background: Project Extension for Community Health Outcomes (ECHO) aims to connect community providers to academic specialists, deliver longitudinal clinical mentorship and case consultations, plus encourage dissemination of knowledge and resources. The impact on outcomes for persons with HIV (PWH) is uncertain., Setting: PWH in Washington and Oregon outside of the Seattle and Portland metro areas, January 2011 to March 2018., Methods: Using viral load (VL) surveillance data, we assessed difference in the percentage of PWH who were virally suppressed among PWH whose providers participated versus did not participate in Project ECHO. Analyses included multiple mixed-effects regression models, adjusting for time and for patient, provider, and clinic characteristics., Results: Based on 65,623 VL results, Project ECHO participation was associated with an increase in the percentage of patients with VL suppression (13.7 percentage points greater; P < 0.0001), although the effect varied by estimated provider PWH patient volume. The difference was 14.7 percentage points ( P < 0.0001) among patients of providers who order <20 VL's/quarter and 2.3 and -0.6 percentage points among patients of providers who order 20-40 or >40 VL's/quarter, respectively ( P > 0.5). The magnitude of difference in VL suppression was associated with the number of sessions attended. Among patients of lower-volume providers who did not participate, VL suppression was 6.2 percentage points higher if providers worked in a clinic where another provider did participate ( P < 0.0001)., Conclusion: Project ECHO is associated with improvement in VL suppression for PWH whose providers participate or work in the same clinic system as a provider who participates, primarily because of benefits for patients of lower-volume providers., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Pillar 4 of the United States' End the HIV Epidemic plan is to respond quickly to HIV outbreaks, but the utility of CDC's tool for identifying HIV outbreaks through time-space cluster detection has not been evaluated. The objective of this evaluation is to quantify the ability of the CDC time-space cluster criterion to predict future HIV diagnoses and to compare it to a space-time permutation statistic implemented in SaTScan software., Setting: Washington State from 2017 to 2019., Methods: We applied both cluster criteria to incident HIV cases in Washington State to identify clusters. Using a repeated-measures Poisson model, we calculated a rate ratio comparing the 6 months after cluster detection with a baseline rate from 24 to 12 months before the cluster was detected. We also compared the demographics of cases within clusters with all other incident cases., Results: The CDC criteria identified 17 clusters containing 192 cases in the 6 months after cluster detection, corresponding to a rate ratio of 1.25 (95% confidence interval: 0.95 to 1.65) relative to baseline. The time-space permutation statistic identified 5 clusters containing 25 cases with a rate ratio of 2.27 (95% confidence interval: 1.28 to 4.03). Individuals in clusters identified by the new criteria were more likely to be of Hispanic origin (61% vs 20%) and in rural areas (51% vs 12%)., Conclusions: The space-time permutation cluster analysis is a promising tool for identification of clusters with the largest growth potential for whom interruption may prove most beneficial., Competing Interests: The authors have no funding or conflicts of interest to disclose., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Although diagnoses of human immunodeficiency virus (HIV) infection among persons who inject drugs in the United States are declining, an HIV outbreak among such persons in rural Indiana demonstrated that population's vulnerability to HIV infection (1). In August 2018, Public Health-Seattle and King County (PHSKC) identified a cluster of cases of HIV infection among persons living homeless, most of whom injected drugs. Investigation identified 14 related cases diagnosed from February to mid-November 2018 among women who inject drugs and men who have sex with women (MSW) who inject drugs and their sex partners. All 14 persons were living homeless in an approximately 3-square-mile area and were part of a cluster of 23 cases diagnosed since 2008. Twenty-seven cases of HIV infection were diagnosed among women and MSW who inject drugs in King County during January 1-November 15, 2018, a 286% increase over the seven cases diagnosed in 2017. PHSKC has alerted medical and social service providers and the public about the outbreak, expanded HIV testing among persons who inject drugs or who are living homeless, and is working to increase the availability of clinical and prevention services in the geographic area of the outbreak. This outbreak highlights the vulnerability of persons who inject drugs, particularly those who also are living homeless, to outbreaks of HIV infection, even in areas with high levels of viral suppression and large syringe services programs (SSPs)., Competing Interests: All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. Matthew R. Golden reports grants from GSK and Hologic, outside the submitted work. Julie Dombrowski reports grants from Hologic, Curatek, and Quidel to the University of Washington and personal fees from PRIME and the MidAtlantic AIDS Education and Training Center, outside the submitted work. No other potential conflicts of interest were disclosed.

Steps to a Healthier Washington, in collaboration with other programs in the Washington State Department of Health and external partners, has implemented training to improve public health practice and create greater organizational and staff capacity for promoting effective policy and systems changes, including reducing disparities. The training is grounded in behavior change and adult learning theories. A comprehensive post training evaluation found long-term improvements in self-efficacy, reported changes in work, and attribution of those changes to the training. Organizations working to refocus public health work on policy and systems change should consider providing skills-based policy training to their staff. This study suggests that an integrated training, using adult learning theory, has led to long-term improvements in capacity among public health staff and partners.