An Interactive Modeling Tool for Projecting the Health and Direct Medical Cost Impact of Changes in the Sexually Transmitted Diseases Prevention Program Budgets.

CONTEXT: Estimating the return on investment for public health services, tailored to the state level, is critical for demonstrating their value and making resource allocation decisions. However, many health departments have limited staff capacity and expertise to conduct economic analyses in-house. PROGRAM: We developed a user-friendly, interactive Excel-based spreadsheet model that health departments can use to estimate the impact of increases or decreases in sexually transmitted infection (STI) prevention funding on the incidence and direct medical costs of chlamydia, gonorrhea, syphilis, and STI-attributable HIV infections. Users tailor results to their jurisdictions by entering the size of their population served; the number of annual STI diagnoses; their prior annual funding amount; and their anticipated new funding amount. The interface was developed using human-centered design principles, including focus groups with 15 model users to collect feedback on an earlier model version and a usability study on the prototype with 6 model users to finalize the interface. IMPLEMENTATION: The STI Prevention Allocation Consequences Estimator ("SPACE Monkey 2.0") model will be publicly available as a free downloadable tool. EVALUATION: In the usability testing of the prototype, participants provided overall positive feedback. They appreciated the clear interpretations, outcomes expressed as direct medical costs, functionalities to interact with the output and copy charts into external applications, visualization designs, and accessible information about the model's assumptions and limitations. Participants provided positive responses to a 10-item usability evaluation survey regarding their experiences with the prototype. DISCUSSION: Modeling tools that synthesize literature-based estimates and are developed with human-centered design principles have the potential to make evidence-based estimates of budget changes widely accessible to health departments.

Who Are the Local Policy Innovators? Cluster Analysis of Municipal Tobacco Control Policies in Massachusetts.

CONTEXT: Tobacco use is a leading cause of preventable death, yet it is challenging to establish public policy to reduce tobacco use. Massachusetts has been a national leader in tobacco control, and its policy-making patterns can be informative to the country. OBJECTIVE: To identify factors associated with the adoption of tobacco policy within 351 Massachusetts municipalities. DESIGN: We obtained the 2019 Massachusetts municipality-level tobacco control policy information from Massachusetts' Tobacco Automated Fact Sheet Information system and compiled it with data from American Community Survey, Massachusetts Municipal Association, and Massachusetts state government's Web sites. We used k -means clustering method to identify statistical clustering patterns and hotspot analysis (Getis-Ord Gi*) and Local Indicators of Spatial Association to identify geographic clustering patterns. We then performed multinomial logistic regression to identify factors associated with policy clusters. SETTING: Massachusetts. PARTICIPANTS: Three hundred fifty-one municipalities in Massachusetts. MAIN OUTCOME MEASURE: Policy clusters-groups of municipalities with similar tobacco control policy behaviors. RESULTS: Based on the k -means analyses, we identified 3 clusters in Massachusetts municipal tobacco control policy behaviors: 54% (N = 191) of municipalities were "Policy Leaders" with a high adoption rate of the 6 tobacco control policies; 18% (N = 63) were "Peer-Influenced Actors" focused on tobacco purchase restrictions for individuals younger than 21 years; and 28% (N = 97) were "Policy Non-Actors," with no tobacco control policies in place. Policy Leaders were geographically clustered in larger cities and the MetroWest region. Policy Non-Actors were clustered in rural areas of Western and Central Massachusetts. Larger municipal population size, higher municipal tax income, and higher percentages of residents voting Democratic were associated with higher policy adoption activities. CONCLUSIONS: Local variation in the adoption of tobacco policies may exacerbate inequities in tobacco use and population health. Opportunities remain to implement additional tobacco control regulations at the local level to promote public health.

Variation in Patterns of Racial and Ethnic Disparities in Primary and Secondary Syphilis Diagnosis Rates Among Heterosexually Active Women by Region and Age Group in the United States.

BACKGROUND: Syphilis rates have increased substantially over the past decade. Women are an important population because of negative sequalae and adverse maternal outcomes including congenital syphilis. We assessed whether racial and ethnic disparities in primary and secondary (P&S) syphilis among heterosexually active women differ by region and age group. METHODS: We synthesized 4 national surveys to estimate numbers of heterosexually active women in the United States from 2014 to 2018 by region, race and ethnicity, and age group (18-24, 25-29, 30-44, and ≥45 years). We calculated annual P&S syphilis diagnosis rates, assessing disparities with rate differences and rate ratios comparing White, Hispanic, and Black heterosexually active women. RESULTS: Nationally, annual rates were 6.42 and 2.20 times as high among Black and Hispanic than among White heterosexually active women (10.99, 3.77, and 1.71 per 100,000, respectively). Younger women experienced a disproportionate burden of P&S syphilis and the highest disparities. Regionally, the Northeast had the highest Black-White and Hispanic-White disparities using a relative disparity measure (relative rate), and the West had the highest disparities using an absolute disparity measure (rate difference). CONCLUSIONS: To meet the racial and ethnic disparity goals of the Sexually Transmitted Infections National Strategic Plan, tailored local interventions that address the social and structural factors associated with disparities are needed for different age groups.

The Prevalence and Negative Impacts of Substance Use Disorders among People with HIV in the United States: A Real-Time Delphi Survey of Key Stakeholders.

Although HIV and substance use disorders (SUDs) constitute a health syndemic, no research to date has examined the perceived negative impacts of different SUDs for people with HIV (PWH). In May 2019, 643 stakeholders in the U.S., representing clients of AIDS service organizations (ASOs), ASO staff, and HIV/AIDS Planning Council members, participated in an innovative Stakeholder-Engaged Real-Time Delphi (SE-RTD) survey focused on the prevalence and individual-level negative impact of five SUDs for PWH. The SE-RTD method has advantages over conventional survey methods by efficiently sharing information, thereby reducing the likelihood that between-group differences are simply due to lack of information, knowledge, and/or understanding. The population-level negative impacts were calculated by weighting each SUD's individual-level negative impact on indicators of the HIV Care Continuum and other important areas of life by the perceived prevalence of each SUD. Overall, we found these SUDs to have the greatest population-level negative impact scores (possible range 0-24): alcohol use disorder (population-level negative impact = 6.9; perceived prevalence = 41.9%), methamphetamine use disorder (population-level negative impact = 6.5; perceived prevalence = 3.2%), and opioid use disorder (population-level negative impact = 6.4; perceived prevalence = 34.6%). Beyond further demonstration of the need to better integrate SUD services within HIV settings, our findings may help inform how finite funding is allocated for addressing the HIV-SUD syndemic within the U.S. Based on our findings, such future efforts should prioritize the integration of evidence-based treatments that help address use disorders for alcohol, methamphetamine, and opioids.

Fighting obesity at the local level? An analysis of predictors of local health departments' policy involvement.

Obesity is a critical public health issue in the United States. Local health departments (LHDs) can play a crucial role in public health policy, and are well-positioned to address obesity in their communities. We assess the obesity policy involvement among LHDs across the United States and the factors associated with increased involvement. Data come from 1803 LHDs in the 2016 National Profile of Local Health Department survey, supplemented with county-level obesity prevalence and political ideology. Negative binomial regressions examined LHD and regional characteristics associated with the number of obesity policies with which LHDs were involved. Almost half (46.1%) of LHDs reported no involvement with local obesity policies. Several factors were associated with increased policy involvement: having local boards of health with advisory (IRR = 1.31, p < 0.05) or governance roles (IRR = 1.27, p < 0.01), larger workforces (IRR = 1.34, p < 0.001), accreditation (IRR = 1.40, p < 0.001), higher obesity prevalence (IRR = 1.03, p < 0.01), and being politically more liberal (IRR = 1.01, p < 0.05). Overall, the large number of LHDs with no or limited involvement in obesity policies is a missed opportunity for local action. A better understanding of LHD policy involvement, how organizational and political factors enable or constrain their actions, and how they can leverage their current authority is needed to help LDHs serve local needs.

Predictors of State-Level Stay-at-Home Orders in the United States and Their Association With Mobility of Residents.

OBJECTIVE: To evaluate predictors of stay-at-home order adoption among US states, as well as associations between order enactment and residents' mobility. DESIGN: We assess associations between state characteristics and adoption timing. We also assess associations between enactment and aggregate state-level measures of residents' mobility (Google COVID-19 Community Mobility Reports). SETTING: The United States. PARTICIPANTS: Adoption population: 50 US states and District of Columbia. Mobility population: state residents using devices with GPS tracking accessible by Google. INTERVENTION AND EXPOSURES: State characteristics: COVID-19 diagnoses per capita, 2016 Trump vote share, Republican governor, Medicaid expansion status, hospital beds per capita, public health funding per capita, state and local tax revenue per capita, median household income, population, percent residents 65 years or older, and percent urban residents. Mobility exposure: indicator of order enactment by March 29, 2020 (date of mobility data collection). MAIN OUTCOME MEASURES: Order adoption timing: days since adoption of first order. Mobility: changes in mobility to 6 locations from February 6 to March 29, 2020. RESULTS: In bivariate models, order adoption was associated with COVID-19 diagnoses (hazard ratio [HR] = 1.01; 95% confidence interval [CI], 1.00 to 1.01), Republican governor (HR = 0.24; 95% CI, 0.13 to 0.44), Medicaid expansion (HR = 2.50; 95% CI, 1.40 to 4.48), and hospital capacity (HR = 0.43; 95% CI, 0.26 to 0.70), consistent with findings in the multivariate models. Order enactment was positively associated with time at home (beta (B) = 1.31; 95% CI, 0.35 to 2.28) and negatively associated with time at retail and recreation (B = -7.17; 95% CI, -10.89 to -3.46) and grocery and pharmacy (B = -8.28; 95% CI, -11.97 to -4.59) locations. Trump vote share was associated with increased mobility for 4 of 6 mobility measures. CONCLUSIONS AND RELEVANCE: While politics influenced order adoption, public health considerations were equally influential. While orders were associated with decreased mobility, political ideology was associated with increased mobility under social distancing policies.

Distributing Local Resources for Public Health Preparedness Grants: A Data-Driven Approach.

OBJECTIVES: To simulate allocations of Public Health Emergency Preparedness funds to counties using alternative metrics of need, minimum allocation amounts, and the proportion earmarked for discretionary considerations. DESIGN: We developed a county-level community resilience index of 57 New York State counties using publicly available indicators, which we incorporated into an interactive spreadsheet of 8 hypothetical allocation formulas with different combinations of population size, the index and its 5 domains, and population density. Simulations were compared with the 2013-2014 fiscal year grant allocation. RESULTS: New York allocated $6.27 million to counties outside New York City, with a median allocation of $78 038, ranging from $50 825 to $556 789. These allocations would vary under different strategies, with the largest changes among sparsely populated counties that currently receive a minimum allocation of $50 825. Allocations were sensitive to changes in minimum allocation, amount earmarked for discretionary allocation, and need indicator. CONCLUSIONS: Population-based approaches are commonly used but ignore important dimensions of need. It is feasible to include robust local community resilience measures in formulas, and interactive spreadsheet models can help stakeholders evaluate the consequences of alternative funding strategies.

Changes in Sugary Beverage Consumption and Public Perceptions in Upstate New York After Implementation of a Community Awareness Campaign and Healthier Vending Strategies.

OBJECTIVE: We evaluated the impact of a community-based healthy beverage procurement and serving practices program, and educational media campaign, on residents' behaviors and beliefs regarding sugary beverages. DESIGN: Repeated cross-sectional population surveys in 2013 and 2014 were conducted, as well as semistructured interviews with key informants. We employed multivariate differences-in-differences regression analysis, adjusting for demographics and weight status, using the survey data. Key informant interviews were reviewed for common themes. SETTING: Three rural counties in upstate New York with high prevalence of children living in poverty and childhood obesity. PARTICIPANTS: Residents of Broome, Cattaraugus, and Chautauqua, with Chemung as a control, reached through cross-sectional random-digit-dial landline and cellular telephones, and practitioners involved in intervention implementation. INTERVENTION: Community organizations were encouraged through presentations to leadership to adopt healthier vending policies, providing more low- and no-sugar options, and were provided assistance with implementation. In addition, a media campaign supported by presentations to the public aimed to educate residents regarding the health consequences of sugary beverage consumption. OUTCOME MEASURES: The survey measured population demographics and sugary beverage consumption frequency, availability, beliefs about harmfulness, and support for regulation, pre- and postintervention. Key informant interviews elicited perceived program challenges and successes. RESULTS: Compared with temporal trends in the control county, availability of regular soda in the intervention counties decreased (differences-in-differences estimator: ß = -.341, P = .04) and support for regulation increased (differences-in-differences estimator: ß = .162, P = .02). However, there were no differences regarding beliefs about harmfulness or consumption. Practitioners confirmed that the intervention increased awareness but was insufficient to spur action. CONCLUSION: Although public education on the harmfulness of sugary beverages and provision of healthier options in some vending machines successfully impacted soda availability and support for regulation, it did not reduce consumption. This intervention seems promising but should be paired with other community-based interventions for a more comprehensive approach.

Relationship between network operators and risky sex behaviors among female versus transgender commercial sex workers in Pakistan.

Unprotected sex among commercial sex workers (CSWs) remains a leading cause of HIV transmission internationally. Previous research on condom use among CSWs has focused on females, with limited research among transgenders or on the role of network operators who mediate paid sexual transactions. We test whether network operators increase the likelihood of condom use among female and transgender CSWs in four Pakistan provinces using the 2011 Integrated Behavioral and Biological Survey. We find that transgender CSWs recruiting clients through network operators had higher odds of consistently using condoms compared with female CSWs recruiting clients through another source (relative OR: 2·80, 95% CI: 1·67, 4·70). While transgender CSWs in Pakistan using network operators have higher rates of condom use, however, this protective effect does not hold among females. This suggests that network operators may be a valuable group to target for HIV prevention efforts.

Strategies for Improving Hepatitis C Treatment Access in the United States: State Officials Address High Drug Prices, Stigma, and Building Treatment Capacity.

CONTEXT: Curative treatments for hepatitis C virus (HCV) can alter the course of a devastating epidemic, but high drug prices have contributed to restrictions on HCV treatment access. OBJECTIVE: We aimed to learn how state health agencies have responded to the challenges of treatment access for HCV. DESIGN: Qualitative study using semistructured key informant interviews focused on aspects of HCV treatment access between June 2016 and March 2017. Content analysis was used to identify dominant themes. SETTING: United States. PARTICIPANTS: Eighteen health officials and treatment advocates across 6 states selected using purposive sampling. RESULTS: Drug pricing is the most important barrier to access, encouraging restrictive authorization criteria from payers that in turn discourage providers from offering treatment. However, payers have not experienced the budget impact that was initially feared. Although authorization criteria are being lifted for fee-for-service Medicaid programs, ensuring that managed care organizations follow suit remains a challenge. The effect of stigma, a shortage of treating providers, and lack of political motivation are additional challenges to expanding treatment. The response to the human immunodeficiency virus epidemic can augment or inform strategies for HCV treatment delivery, but this is limited by the absence of dedicated funding. CONCLUSIONS: While treatment eligibility criteria for HCV treatment are improving, many other barriers remain to achieving the scale-up needed to end the epidemic. Political disinterest, stigma, and a lack of specialty providers are continued barriers in some jurisdictions. States may need to invest in strategies to overcome these barriers, such as engaging in public and provider education and ensuring that treatment by primary care providers is reimbursed. Despite uncertainty about how federal policy changes to Medicaid may affect states' ability to respond, states can identify opportunities to improve access.

Structural barriers to comprehensive, coordinated HIV care: geographic accessibility in the US South.

Structural barriers to HIV care are particularly challenging in the US South, which has higher HIV diagnosis rates, poverty, uninsurance, HIV stigma, and rurality, and fewer comprehensive public health programs versus other US regions. Focusing on one structural barrier, we examined geographic accessibility to comprehensive, coordinated HIV care (HIVCCC) in the US South. We integrated publicly available data to study travel time to HIVCCC in 16 Southern states and District of Columbia. We geocoded HIVCCC service locations and estimated drive time between the population-weighted county centroid and closest HIVCCC facility. We evaluated drive time in aggregate, and by county-level HIV prevalence quintile, urbanicity, and race/ethnicity. Optimal drive time was ≤30 min, a common primary care accessibility threshold. We identified 228 service locations providing HIVCCC across 1422 Southern counties, with median drive time to care of 70 min (IQR 64 min). For 368 counties in the top HIV prevalence quintile, median drive time is 50 min (IQR 61 min), exceeding 60 min in over one-third of these counties. Among counties in the top HIV prevalence quintile, drive time to care is six-folder higher for rural versus super-urban counties. Counties in the top HIV prevalence quintiles for non-Hispanic Blacks and for Hispanics have >50% longer drive time to care versus for non-Hispanic Whites. Including another potential care source-publicly-funded health centers serving low-income populations-could double the number of high-HIV burden counties with drive time ≤30 min, representing nearly 35,000 additional people living with HIV with accessible HIVCCC. Geographic accessibility to HIVCCC is inadequate in the US South, even in high HIV burden areas, and geographic and racial/ethnic disparities exist. Structural factors, such as geographic accessibility to care, may drive disparities in health outcomes. Further research on programmatic policies, and evidence-based alternative HIV care delivery models improving access to care, is critical.

Female-Headed Households Associated with Lower Childhood Stunting Across Culturally Diverse Regions of Pakistan: Results from a Cross-Sectional Household Survey.

Objectives Early childhood stunting adversely influences long-term cognitive and health outcomes. There is limited evidence on whether female empowerment within households could reduce its prevalence. We investigated this relationship in Punjab, Pakistan, which has high stunting rates and a sizeable proportion of female-headed households, and whether this relationship differed across three provincial regions with diverse cultural attitudes towards the role of women in society. Methods Using cross-sectional data from the 2011 Multiple Indicator Cluster Survey, we identified 13,412 children aged 1-4 from 8985 two-parent households in three culturally distinct regions in Punjab, Pakistan. Logistic regression models assessed whether the likelihood of stunting was associated with female-headed households, a proxy for female empowerment, and whether this relationship differed by region. Regressions controlled for child- and household-level covariates. Results Children had 26% lower odds of stunting among female-headed households (OR 0.74, CI 0.60, 0.90). The interaction term for female-headed households and child stunting by provincial region was not statistically significant, suggesting that the relationship holds across the three culturally distinct regions. Conclusions for Practice Female empowerment was associated with lower rates of stunting among young children, and the results did not vary by provincial region. This suggests that women can play important roles as agents of change, even in areas where females have limited freedoms. Greater investments in public education and awareness campaigns to improve health literacy might have important spillover effects for child health and improve the success of existing public health interventions targeting childhood stunting.

Delivering Partner Services to Reduce Transmission and Promote Linkage to Care: Process Outcomes Varied for Chlamydial Infection, Gonorrhea, HIV, and Syphilis Cases.

CONTEXT: Partner services for HIV and sexually transmitted diseases, a public health intervention activity recommended by the Centers for Disease Control and Prevention, includes counseling, partner notification, linkage to care, and referral to other services. OBJECTIVE: A time study of partner services case investigations documented differences in times to process HIV/sexually transmitted disease cases. SETTING: Cases were from 9 local and regional sites in New York. PARTICIPANTS: Fifty-two partner services disease investigators documented 542 randomly selected cases (271 chlamydial infections, 162 gonorrhea, 48 HIV, and 61 syphilis cases) assigned between June and September 2014. Cases were the unit of the analysis and represented 6.9% of all partner services investigations in 2014. DESIGN: Cases were selected via stratified random sampling of infections assigned to staff. For each case, disease investigators completed a standard time study form to document the time spent on specific tasks and other outcomes. Kruskal-Wallis tests for continuous variables and χ tests for categorical variables assessed variation in outcomes across infection type. MAIN OUTCOME MEASURES: Outcomes included minutes spent on specific tasks (such as medical provider and index case outreach, travel, and partner notification), days the case remained open, disposition codes, and number of partners reached. RESULTS: Case processing times varied, with HIV and syphilis tasks taking more minutes (P < .001) and cases staying open for more days (P < .001). Partners were notified in 33% of cases overall, with more notifications in syphilis (44%). Most time (median = 77%) was spent on index cases and 2% (median) on partner notification, with a wide range across cases. CONCLUSIONS: Given their chronic resource constraints, public health agencies must identify efficient methods to allocate resources, including which infections to prioritize. Documenting how workers allocate time across cases is essential to improving the effectiveness and efficiency of this program and generating the data to model return on investment.

Implementing Updated Recommendations on Hepatitis C Virus Screening: Translating Federal Guidance Into State Practice.

CONTEXT: Chronic viral hepatitis is a leading infectious cause of death. The Centers for Disease Control and Prevention (CDC) released updated recommendations for hepatitis C virus testing, including recommending that all individuals born between 1945 and 1965 be tested once. States' consistency with these national testing guidelines is unknown. OBJECTIVE: To evaluate the extent to which state health departments have current hepatitis C virus testing recommendations listed on their Web sites, consistent with national guidelines. DESIGN: The CDC guidelines were reviewed to identify the risk groups recommended for or against testing. State health department Web sites (50 US states, the District of Columbia, and Puerto Rico) were then systematically reviewed to classify whether, for each risk group, testing is recommended, not recommended, or with unclear recommendations. MAIN OUTCOME MEASURE: States' consistency with national recommendations for each risk group mentioned by the CDC. RESULTS: Among the risk groups that the CDC currently recommends for testing, 50% of states updated their Web sites to include individuals born between 1945 and 1965. All states recommend testing current or former injection drug users, but only 58% recommended testing HIV-positive individuals. Among the risk groups for which the CDC has issued uncertain recommendations, states most frequently recommended testing individuals with tattoos or body piercing done with unsterile materials (46%) or with a history of multiple sex partners (31%). CONCLUSIONS: There is substantial variation in state Web sites' consistency with the CDC guidelines. The public health importance of risk factors is not associated with their inclusion in Web content. Improving the uptake of these recommendations and the manner in which they are conveyed to the public are critical to implementing the national viral hepatitis action plan, thereby increasing diagnoses and averting new infections.

Evaluating the Quality and Usability of Open Data for Public Health Research: A Systematic Review of Data Offerings on 3 Open Data Platforms.

CONTEXT: Government datasets are newly available on open data platforms that are publicly accessible, available in nonproprietary formats, free of charge, and with unlimited use and distribution rights. They provide opportunities for health research, but their quality and usability are unknown. OBJECTIVE: To describe available open health data, identify whether data are presented in a way that is aligned with best practices and usable for researchers, and examine differences across platforms. DESIGN: Two reviewers systematically reviewed a random sample of data offerings on NYC OpenData (New York City, all offerings, n = 37), Health Data NY (New York State, 25% sample, n = 71), and HealthData.gov (US Department of Health and Human Services, 5% sample, n = 75), using a standard coding guide. SETTING: Three open health data platforms at the federal, New York State, and New York City levels. MAIN OUTCOME MEASURES: Data characteristics from the coding guide were aggregated into summary indices for intrinsic data quality, contextual data quality, adherence to the Dublin Core metadata standards, and the 5-star open data deployment scheme. RESULTS: One quarter of the offerings were structured datasets; other presentation styles included charts (14.7%), documents describing data (12.0%), maps (10.9%), and query tools (7.7%). Health Data NY had higher intrinsic data quality (P < .001), contextual data quality (P < .001), and Dublin Core metadata standards adherence (P < .001). All met basic "web availability" open data standards; fewer met higher standards of "hyperlinked to other data." CONCLUSIONS: Although all platforms need improvement, they already provide readily available data for health research. Sustained effort on improving open data websites and metadata is necessary for ensuring researchers use these data, thereby increasing their research value.

Clinical outcomes of HIV care delivery models in the US: a systematic review.

With over 1 million people living with HIV, the US faces national challenges in HIV care delivery due to an inadequate HIV specialist workforce and the increasing role of non-communicable chronic diseases in driving morbidity and mortality in HIV-infected patients. Alternative HIV care delivery models, which include substantial roles for advanced practitioners and/or coordination between specialty and primary care settings in managing HIV-infected patients, may address these needs. We aimed to systematically review the evidence on patient-level HIV-specific and primary care health outcomes for HIV-infected adults receiving outpatient care across HIV care delivery models. We identified randomized trials and observational studies from bibliographic and other databases through March 2016. Eligible studies met pre-specified eligibility criteria including on care delivery models and patient-level health outcomes. We considered all available evidence, including non-experimental studies, and evaluated studies for risk of bias. We identified 3605 studies, of which 13 met eligibility criteria. Of the 13 eligible studies, the majority evaluated specialty-based care (9 studies). Across all studies and care delivery models, eligible studies primarily reported mortality and antiretroviral use, with specialty-based care associated with mortality reductions at the clinician and practice levels and with increased antiretroviral initiation or use at the clinician level but not the practice level. Limited and heterogeneous outcomes were reported for other patient-level HIV-specific outcomes (e.g., viral suppression) as well as for primary care health outcomes across all care delivery models. No studies addressed chronic care outcomes related to aging. Limited evidence was available across geographic settings and key populations. As re-design of care delivery in the US continues to evolve, better understanding of patient-level HIV-related and primary care health outcomes, especially across different staffing models and among different patient populations and geographic locations, is urgently needed to improve HIV disease management.