Ryan White HIV/AIDS Part B and AIDS Drug Assistance Programs during COVID-19: safety net public health programs' challenges and innovations.

Introduction: We characterized the challenges and innovations of states' Ryan White HIV/AIDS Program (RWHAP) Part B programs, including AIDS Drug Assistance Programs (ADAPs), during the COVID-19 pandemic. In the United States, these are important safety net programs for HIV healthcare, providing essential medical and support services, and medications, to people with HIV with low incomes who are uninsured/underinsured. Methods: Data were collected via the 2021-2022 NASTAD National RWHAP Part B and ADAP Monitoring Project Report, a cross-sectional survey of state, district, and territorial programs through a mixed method study design. For quantitative data, we used descriptive statistics. Qualitative responses were coded and analyzed using content analysis. Results: Forty-seven RWHAP Part B and ADAPs responded (92% response rate). The majority of respondents reported that maintaining client eligibility (78%) and working remotely (70%) were the most challenging aspects of the pandemic, particularly in regards to implementing new telehealth and e-certification platforms. In response to COVID-19, programs introduced enrollment "grace periods" (19%), bolstered client outreach (11%), allowed more than a 30 day supply of medications (79%), and supported medication home delivery for clients (80%). Discussion: Despite the challenges of the COVID-19 pandemic, RWHAP Part B and ADAPs implemented several operational innovations in order to continue providing essential medicines and services. Other public health programs may adopt similar innovations, including digital innovations, for greater public health benefit. Future studies should assess the retention of policy innovations over time, their impact on the individual client level satisfaction or health outcomes, and what factors may improve the acceptability of telehealth and e-certification platforms.

Access to a novel first-line single-tablet HIV antiretroviral regimen in Affordable Care Act Marketplace plans, 2018-2020.

BACKGROUND: A pillar of the United States' Ending the HIV Epidemic (EHE) initiative is to rapidly provide antiretroviral therapy (ART) in order to achieve HIV viral suppression. However, insurance benefit design can impede ART access. The primary objective of this study is to understand how Affordable Care Act (ACA) Marketplace qualified health plan (QHP) formularies responded to two new ART single tablet regimens (STRs): dolutegravir/abacavir/lamivudine (DTG/ABC/3TC; approved in 2014) and bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF; approved in 2018). METHODS: We conducted a descriptive study of individual and small group QHPs to assess coverage, cost sharing (coinsurance vs. copay), specialty tiering, prior authorization, and out-of-pocket (OOP) costs for DTG/ABC/3TC and BIC/FTC/TAF. All individual and small group QHPs offered in state ACA Marketplaces from 2018-2020 were identified using plan-level formulary data from Ideon linked to end-of-year data from Robert Wood Johnson Foundation's Individual Market Health Insurance Exchange (HIX). RESULTS: For 2018, 2019, and 2020, respectively, we identified 19,533, 17,007, and 21,547 QHPs. While DTG/ABC/3TC coverage was above 91% from 2018-2020, BIC/FTC/TAF coverage improved from 60 to 86%. Coverage of BIC/FTC/TAF improved in EHE priority jurisdictions from 73 to 90% driven by increased coverage with coinsurance. Although BIC/FTC/TAF had a higher wholesale acquisition cost than DTG/ABC/3TC, monthly OOP cost trends differed regionally in the Midwest but did not differ by EHE priority jurisdiction status. CONCLUSIONS: QHP coverage of STRs is heterogeneous across the US. While coverage of BIC/FTC/TAF increased over time, many QHPs in EHE priority jurisdictions required coinsurance. Access to new ART regimens may be slowed by delayed QHP coverage and benefit design.

Enhancing the ATra Black Box Matching Algorithm: Use of All Names for Deduplication Across Jurisdictions.

OBJECTIVES: Achieving accurate, timely, and complete HIV surveillance data is complicated in the United States by migration and care seeking across jurisdictional boundaries. To address these issues, public health entities use the ATra Black Box-a secure, electronic, privacy-assuring system developed by Georgetown University-to identify and confirm potential duplicate case records, exchange data, and perform other analytics to improve the quality of data in the Enhanced HIV/AIDS Reporting System (eHARS). We aimed to evaluate the ability of 2 ATra software algorithms to identify potential duplicate case-pairs across 6 jurisdictions for people living with diagnosed HIV. METHODS: We implemented 2 matching algorithms for identifying potential duplicate case-pairs in ATra software. The Single Name Matching Algorithm examines only 1 name for a person, whereas the All Names Matching Algorithm examines all names in eHARS for a person. Six public health jurisdictions used the algorithms. We compared outputs for the overall number of potential matches and changes in matching level. RESULTS: The All Names Matching Algorithm found more matches than the Single Name Matching Algorithm and increased levels of match. The All Names Matching Algorithm identified 9070 (4.5%) more duplicate matches than the Single Name Matching Algorithm (n = 198 828) and increased the total number of matches at the exact through high levels by 15.4% (from 167 156 to 192 932; n = 25 776). CONCLUSIONS: HIV data quality across multiple jurisdictions can be improved by using all known first and last names of people living with diagnosed HIV that match with eHARS rather than using only 1 first and last name.

Economic benefits of the United States' AIDS drug assistance Program: A systematic review of cost analyses to guide research and policy priorities.

As part of the Ryan White HIV/AIDs Program, the federally-funded, state-administered AIDS Drug Assistance Program (ADAP) provides prescription drug medications, including antiretroviral therapy, for people with HIV (PWH) who are uninsured/underinsured and have a low income. ADAP expenditures are ∼$2.4 billion annually, but there is a dearth of formal economic analysis supporting the societal perspective. We conducted a systematic review of economic analyses of the United States' AIDS Drug Assistance Program to establish future research priorities based on gaps in knowledge. We searched six electronic databases for articles published before January 2022 that met inclusion criteria. We used the 2022 Consolidated Health Economic Evaluation Reporting Standards to assess the quality of reporting of the economic evaluations. We extracted data into categories to assess gaps and needs for future economic evaluation. Seven studies met inclusion criteria. Two used the same modeling approaches but were published with slightly different outcomes. The few economic analyses that focused solely on ADAP were conducted using 2008 or older data. The most recent study modeled the net cost per quality-adjusted life-year (QALY) secondary to reducing new HIV cases among those virally suppressed, but did not include the economic or health benefits for PWH. ADAP programs' delivery of antiretroviral therapy has shifted from primarily direct provision to subsidizing insurance plans. None of the models take these shifts into account. Updated person-centered cost effectiveness models assessing ADAP are needed on a national and state-by-state level to guide policy decisions and coverage determinations.

Patterns of Psychologists' Interprofessional Collaboration Across Clinical Practice Settings.

Healthcare increasingly emphasizes collaborative treatment by multidisciplinary teams. This is the first research focusing on psychologists' participation in team-based care, the mix of professionals with whom psychologists collaborate, and how these collaborations vary across practice settings. Data are from 1607 respondents participating in the American Psychological Association Center for Workforce Studies' 2015 on-line Survey of Psychology Health Service Providers. Practice settings differed markedly in systemic organizational support for interprofessional collaboration and in psychologists' participation in collaborative activities. Psychologists in individual private practice reported least support for and least occurrence of interprofessional collaboration. Psychologists' collaboration with non-behavioral health professionals, such as non-psychiatrist physicians and nurses, was more frequent in general hospitals and VA medical centers. Across settings, greater contact with another health profession was generally associated with psychologists being more confident about working with that profession. However, for work with psychiatrists, that association was attenuated. A collaborative practice model is presented for psychotherapy patients also treated by physicians or other professionals who manage a patient's psychotropic medication.

Improving HIV Surveillance Data by Using the ATra Black Box System to Assist Regional Deduplication Activities.

BACKGROUND: Focused attention on Data to Care underlines the importance of high-quality HIV surveillance data. This study identified the number of total duplicate and exact duplicate HIV case records in 9 separate Enhanced HIV/AIDS Reporting System (eHARS) databases reported by 8 jurisdictions and compared this approach to traditional Routine Interstate Duplicate Review resolution. METHODS: This study used the ATra Black Box System and 6 eHARS variables for matching case records across jurisdictions: last name, first name, date of birth, sex assigned at birth (birth sex), social security number, and race/ethnicity, plus 4 system-calculated values (first name Soundex, last name Soundex, partial date of birth, and partial social security number). RESULTS: In approximately 11 hours, this study matched 290,482 cases from 799,326 uploaded records, including 55,460 exact case pairs. Top case pair overlaps were between NYC and NYS (51%), DC and MD (10%), and FL and NYC (6%), followed closely by FL and NYS (4%), FL and NC (3%), DC and VA (3%), and MD and VA (3%). Jurisdictions estimated that they realized a combined 135 labor hours in time efficiency by using this approach compared with manual methods previously used for interstate duplication resolution. DISCUSSION: This approach discovered exact matches that were not previously identified. It also decreased time spent resolving duplicated case records across jurisdictions while improving accuracy and completeness of HIV surveillance data in support of public health program policies. Future uses of this approach should consider standardized protocols for postprocessing eHARS data.

Cross-Jurisdictional Data Exchange Impact on the Estimation of the HIV Population Living in the District of Columbia: Evaluation Study.

BACKGROUND: Accurate HIV surveillance data are essential to monitor trends to help end the HIV epidemic. Owing to strict policies around data security and confidentiality, HIV surveillance data have not been routinely shared across jurisdictions except a biannual case-by-case review process to identify and remove duplicate cases (Routine Interstate Duplicate Review, RIDR). HIV surveillance estimates for the District of Columbia (DC) are complicated by migration and care seeking throughout the metropolitan area, which includes Maryland and Virginia. To address gaps in HIV surveillance data, health departments of DC, Maryland, and Virginia have established HIV surveillance data sharing agreements. Although the Black Box (a privacy data integration tool external to the health departments) facilitates the secure exchange of data between DC, Maryland, and Virginia, its previous iterations were limited by the frequency and scope of information exchanged. The health departments of DC, Maryland, and Virginia engaged in data sharing to further improve HIV surveillance estimates. OBJECTIVE: This study assessed the impact of cross-jurisdictional data sharing on the estimation of people living with HIV in DC and reduction of cases in the RIDR process. METHODS: Data sharing agreements established in 2014 allowed for the exchange of HIV case information (eg, current residential address) and laboratory information (eg, test types, result dates, and results) from the enhanced HIV/AIDS Reporting System (eHARS). Regular data exchanges began in 2017. The participating jurisdictions transferred data (via secure file transfer protocol) for individuals having a residential address in a partnering jurisdiction at the time of HIV diagnosis or evidence of receiving HIV-related services at a facility located in a partnering jurisdiction. The DC Department of Health compared the data received to DC eHARS and imported updated data that matched existing cases. Evaluation of changes in current residential address and HIV prevalence was conducted by comparing data before and after HIV surveillance data exchanges. RESULTS: After the HIV surveillance data exchange, an average of 396 fewer cases were estimated to be living in DC each year from 2012 to 2016. Among cases with a residential status change, 66.4% (1316/1982) had relocated to Maryland and 19.8% (392/1982) to Virginia; majority of these had relocated to counties bordering DC. Relocation in and out of DC differed by mode of transmission, race and ethnicity, age group, and gender. After data exchange, the volume of HIV cases needing RIDR decreased by 74% for DC-Maryland and 81% for DC-Virginia. CONCLUSIONS: HIV surveillance data exchange between the public health departments of DC, Maryland, and Virginia reduced the number of cases misclassified as DC residents and reduced the number of cases needing RIDR. Continued data exchanges will enhance the ability of DC Department of Health to monitor the local HIV epidemic.

Improving HIV Surveillance Data for Public Health Action in Washington, DC: A Novel Multiorganizational Data-Sharing Method.

BACKGROUND: The National HIV/AIDS Strategy calls for active surveillance programs for human immunodeficiency virus (HIV) to more accurately measure access to and retention in care across the HIV care continuum for persons living with HIV within their jurisdictions and to identify persons who may need public health services. However, traditional public health surveillance methods face substantial technological and privacy-related barriers to data sharing. OBJECTIVE: This study developed a novel data-sharing approach to improve the timeliness and quality of HIV surveillance data in three jurisdictions where persons may often travel across the borders of the District of Columbia, Maryland, and Virginia. METHODS: A deterministic algorithm of approximately 1000 lines was developed, including a person-matching system with Enhanced HIV/AIDS Reporting System (eHARS) variables. Person matching was defined in categories (from strongest to weakest): exact, very high, high, medium high, medium, medium low, low, and very low. The algorithm was verified using conventional component testing methods, manual code inspection, and comprehensive output file examination. Results were validated by jurisdictions using internal review processes. RESULTS: Of 161,343 uploaded eHARS records from District of Columbia (N=49,326), Maryland (N=66,200), and Virginia (N=45,817), a total of 21,472 persons were matched across jurisdictions over various strengths in a matching process totaling 21 minutes and 58 seconds in the privacy device, leaving 139,871 uniquely identified with only one jurisdiction. No records matched as medium low or low. Over 80% of the matches were identified as either exact or very high matches. Three separate validation methods were conducted for this study, and they all found ≥90% accuracy between records matched by this novel method and traditional matching methods. CONCLUSIONS: This study illustrated a novel data-sharing approach that may facilitate timelier and better quality HIV surveillance data for public health action by reducing the effort needed for traditional person-matching reviews without compromising matching accuracy. Future analyses will examine the generalizability of these findings to other applications.