Designing and Disseminating Metrics to Support Jurisdictional Efforts to End the Public Health Threat Posed by HIV Epidemics

The Role of Government-Funded Assistance Programs on HIV Testing Among Poor U.S. Adults

Government-funded assistance program enrollment may play an important role in the overall increase of HIV testing among low-income U.S. adults. We pooled data from the 2016-2018 National Health Interview Survey and limited analyses to respondents aged 18 to 64 years with incomes less than 100% of the U.S. poverty threshold (N = 9,497). The outcome of interest was ever testing for HIV. Prevalence ratios were used to assess the likelihood of ever testing for HIV and were adjusted for sociodemographic covariates including whether the respondent was a beneficiary of any government-funded assistance programs (e.g., Medicaid; job-placement/training/human services; or Temporary Assistance for Needy Families). After adjusting for significant sociodemographic covariates, government-funded assistance beneficiaries were significantly more likely to ever test for HIV (adjusted prevalence ratio = 1.3; 95% CI = [1.2, 1.4], p < .0001) than adults with incomes less than 100% of the U.S. poverty threshold who did not receive government assistance. Beneficiaries of government-funded assistance programs are more likely to test for HIV.

An overview of programmatic indicators to monitor the roll-out of HIV preexposure prophylaxis

Preexposure prophylaxis (PrEP) is increasingly implemented in national HIV prevention programmes through routine care. Monitoring will be vital to understand whether programmes succeed in engaging people into using PrEP appropriately, and in reducing the HIV epidemic. Yet, it is currently unclear which indicators are most suited to monitor PrEP programmes' performance. We therefore aimed to identify and map indicators that are currently used or suggested for monitoring PrEP programmes. We conducted a scoping review based on the framework by Arksey and O'Malley. We combined a systematic search in the peer-reviewed literature with hand-searching grey literature documents describing indicators and strategies that are used or suggested for PrEP monitoring. Only literature published after 2012 was included. No geographical restrictions were set. We charted data on indicator definitions, data sources used, reported experiences with monitoring and any relevant contextual factors. Ultimately, 35 peer-reviewed and 14 grey literature records were included. We identified indicators related to preuptake stages of PrEP, uptake and coverage, and programme impact. The indicators most commonly suggested for national-level monitoring were the number of new and current PrEP users, the number of HIV seroconversions among PrEP users and some variably defined indicators related to continuation and discontinuation of PrEP. Despite its perceived high relevance, studies reported several challenges to routinely monitor the population in need of PrEP and track prevention-effective PrEP use. In conclusion, a variety of indicators is currently used or suggested for monitoring PrEP programmes. Implementing proxy measures that track different aspects of PrEP use over time, and making synergies with research more explicit, could be used as strategies to obtain more granular insights into trends revealed by routine monitoring.

Self-Reported Use of HIV Preexposure Prophylaxis Is Highly Accurate Among Sexual Health Clinic Patients in New York City

ABSTRACT

In New York City, 91% of sexually transmitted infection clinic patients reported preexposure prophylaxis (PrEP) use that matched the detection of PrEP in their serum. Self-report had 80% sensitivity and 96% specificity ( κ = 0.79) compared with measured PrEP. Our findings suggest that self-report may be a valid indicator of PrEP uptake.

Using Implementation Mapping to Ensure the Success of PrEP Optimization Through Enhanced Continuum Tracking (PrOTECT) AL-A Structural Intervention to Track the Statewide PrEP Care Continuum in Alabama

INTRODUCTION

Ending the HIV Epidemic initiatives provide a unique opportunity to use implementation scientific methods to guide implementation of evidence-based practices and evaluate their effectiveness in real-word settings to improve HIV inequities. This report demonstrates our use of Implementation Mapping (IM) to engage participating county health departments, AIDS services organizations, and community-based organizations in the development of a data dashboard to track the PrEP care continuum for the state of Alabama, an Ending the HIV Epidemic hotspot.

METHODS

Our project is guided by an overarching Implementation Research Logic Model and by the tenets of IM, a 5-step approach to support researchers and community partners in the systematic selection, development, and/or tailoring of implementation strategies to increase program adoption, implementation, and sustainability.

RESULTS

Step 1, the needs assessment, established baseline data elements for a PrEP care continuum for participating community-based organizations, AIDS services organizations, and the state health department as well as investigated their desire for data visualization and willingness to share data to inform initiatives to improve PrEP access. Step 2 identified adaptability, relative advantage, and complexity as determinants of intervention adoption. Based on findings from steps 1 and 2, the investigators and community partners determined to move forward with development of a data dashboard. Step 3 identified the following implementation strategies to support a dashboard, including development of educational materials, synchronous and asynchronous training, technical assistance, and improved record systems.

DISCUSSION

Using IM supports community-engaged researchers in designing strategies to end the epidemic that are context-specific and more impactful in real-word settings.

A Method for Generating Dashboard Aggregations in an International HIV Consortium

Online dashboards are valuable tools for gaining insights about population health metrics of interest and for disseminating data collected through research networks. The process of aggregating data from separate databases for use in online dashboards, while also ensuring data quality, is complex. We describe a method for integrating HIV dashboard aggregation scripts into an existing web-based data quality checking application and leveraging REDCap to store aggregated metrics.

Severe Acute Respiratory Syndrome Coronavirus 2 Incidence and Risk Factors in a National, Community-Based Prospective Cohort of US Adults

BACKGROUND

Prospective cohort studies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence complement case-based surveillance and cross-sectional seroprevalence surveys.

METHODS

We estimated the incidence of SARS-CoV-2 infection in a national cohort of 6738 US adults, enrolled in March-August 2020. Using Poisson models, we examined the association of social distancing and a composite epidemiologic risk score with seroconversion. The risk score was created using least absolute shrinkage selection operator (LASSO) regression to identify factors predictive of seroconversion. The selected factors were household crowding, confirmed case in household, indoor dining, gathering with groups of ≥10, and no masking in gyms or salons.

RESULTS

Among 4510 individuals with ≥1 serologic test, 323 (7.3% [95% confidence interval (CI), 6.5%-8.1%]) seroconverted by January 2021. Among 3422 participants seronegative in May-September 2020 and retested from November 2020 to January 2021, 161 seroconverted over 1646 person-years of follow-up (9.8 per 100 person-years [95% CI, 8.3-11.5]). The seroincidence rate was lower among women compared with men (incidence rate ratio [IRR], 0.69 [95% CI, .50-.94]) and higher among Hispanic (2.09 [1.41-3.05]) than white non-Hispanic participants. In adjusted models, participants who reported social distancing with people they did not know (IRR for always vs never social distancing, 0.42 [95% CI, .20-1.0]) and with people they knew (IRR for always vs never, 0.64 [.39-1.06]; IRR for sometimes vs never, 0.60 [.38-.96]) had lower seroconversion risk. Seroconversion risk increased with epidemiologic risk score (IRR for medium vs low score, 1.68 [95% CI, 1.03-2.81]; IRR for high vs low score, 3.49 [2.26-5.58]). Only 29% of those who seroconverted reported isolating, and only 19% were asked about contacts.

CONCLUSIONS

Modifiable risk factors and poor reach of public health strategies drove SARS-CoV-2 transmission across the United States.

Designing for Dissemination and Sustainability to Promote Equitable Impacts on Health

Designing for dissemination and sustainability (D4DS) refers to principles and methods for enhancing the fit between a health program, policy, or practice and the context in which it is intended to be adopted. In this article we first summarize the historical context of D4DS and justify the need to shift traditional health research and dissemination practices. We present a diverse literature according to a D4DS organizing schema and describe a variety of dissemination products, design processes and outcomes, and approaches to messaging, packaging, and distribution. D4DS design processes include stakeholder engagement, participatory codesign, and context and situation analysis, and leverage methods and frameworks from dissemination and implementation science, marketing and business, communications and visualarts, and systems science. Finally, we present eight recommendations to adopt a D4DS paradigm, reflecting shifts in ways of thinking, skills and approaches, and infrastructure and systems for training and evaluation.

Developing Dashboards to Address Children's Health Disparities in Ohio

OBJECTIVES

Social determinants of health (SDoH) can be measured at the geographic level to convey information about neighborhood deprivation. The Ohio Children's Opportunity Index (OCOI) is a composite area-level opportunity index comprised of eight health domains. Our research team has documented the design, development, and use cases of a dashboard solution to visualize OCOI.

METHODS

The OCOI is a multidomain index spanning the following eight domains: (1) family stability, (2) infant health, (3) children's health, (4) access, (5) education, (6) housing, (7) environment, and (8) criminal justice. Information on these eight domains is derived from the American Community Survey and other administrative datasets. Our team used the Tableau Desktop visualization software and applied a user-centered design approach to developing the two OCOI dashboards-main OCOI dashboard and OCOI-race dashboard. We also performed convergence analysis to visualize the census tracts where different health indicators simultaneously exist at their worst levels.

RESULTS

The OCOI dashboard has multiple, interactive components as follows: a choropleth map of Ohio displaying OCOI scores for a specific census tract, graphs presenting OCOI or domain scores to compare relative positions for tracts, and a sortable table to visualize scores for specific county and census tracts. A case study using the two dashboards for convergence analysis revealed census tracts in neighborhoods with low infant health scores and a high proportion of minority population.

CONCLUSION

The OCOI dashboards could assist health care leaders in making decisions that enhance health care delivery and policy decision-making regarding children's health particularly in areas where multiple health indicators exist at their worst levels.

SARS-CoV-2 incidence and risk factors in a national, community-based prospective cohort of U.S. adults

BACKGROUND

Epidemiologic risk factors for incident SARS-CoV-2 infection as determined via prospective cohort studies greatly augment and complement information from case-based surveillance and cross-sectional seroprevalence surveys.

METHODS

We estimated the incidence of SARS-CoV-2 infection and risk factors in a well-characterized, national prospective cohort of 6,738 U.S. adults, enrolled March-August 2020, a subset of whom (n=4,510) underwent repeat serologic testing between May 2020 and January 2021. We examined the crude associations of sociodemographic factors, epidemiologic risk factors, and county-level community transmission with the incidence of seroconversion. In multivariable Poisson models we examined the association of social distancing and a composite score of several epidemiologic risk factors with the rate of seroconversion.

FINDINGS

Among the 4,510 individuals with at least one serologic test, 323 (7.3%, 95% confidence interval [CI] 6.5%-8.1%) seroconverted by January 2021. Among 3,422 participants seronegative in May-September 2020 and tested during November 2020-January 2021, we observed 161 seroconversions over 1,646 person-years of follow-up (incidence rate of 9.8 per 100 person-years [95%CI 8.3-11.5]). In adjusted models, participants who reported always or sometimes social distancing with people they knew (IRRalways vs. never 0.43, 95%CI 0.21-1.0; IRRsometimes vs. never 0.47, 95%CI 0.22-1.2) and people they did not know (IRRalways vs. never 0.64, 95%CI 0.39-1.1; IRRsometimes vs. never 0.60, 95%CI 0.38-0.97) had lower rates of seroconversion. The rate of seroconversion increased across tertiles of the composite score of epidemiologic risk (IRRmedium vs. low 1.5, 95%CI 0.92-2.4; IRRhigh vs. low 3.0, 95%CI 2.0-4.6). Among the 161 observed seroconversions, 28% reported no symptoms of COVID-like illness (i.e., were asymptomatic), and 27% reported a positive SARS-CoV-2 diagnostic test. Ultimately, only 29% reported isolating and 19% were asked about contacts.

INTERPRETATION

Modifiable epidemiologic risk factors and poor reach of public health strategies drove SARS-CoV-2 transmission across the U.S during May 2020-January 2021.

FUNDING

U.S. National Institutes of Allergy and Infectious Diseases (NIAID).

A Systematic Review of Nurse-Led Antiretroviral Medication Adherence Intervention Trials: How Nurses Have Advanced the Science

ABSTRACT

Antiretroviral therapy (ART) is essential to achieving viral suppression and improving health and clinical outcomes in persons living with HIV. Despite the effectiveness of ART and many promising evidence-based ART adherence interventions, viral suppression rates continue to be less than optimal. Nurses play pivotal roles in HIV care management, yet their role in the development and delivery of evidence-based adherence interventions has received little attention. Therefore, this review examined the contributions of nurses to ART adherence research and delivery. We found that nurse-led and nurse-facilitated interventions can be effective in fostering ART adherence in persons living with HIV. Considering the role nurses play in HIV care management and the effectiveness of interventions involving nurses, more nurse-led and nurse-facilitated interventions to address ART adherence are indicated. However, there is a need for further research to examine multilevel interventions and comparative cost and effectiveness of nurse-delivered ART interventions with other forms of delivery.

Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm & systems science approach

Community-driven responses are essential to ensure the adoption, reach and sustainability of evidence-based practices (EBPs) to prevent new cases of opioid use disorder (OUD) and reduce fatal and non-fatal overdoses. Most organizational approaches for selecting and implementing EBPs remain top-down and individually oriented without community engagement (CE). Moreover, few CE approaches have leveraged systems science to integrate community resources, values and priorities. This paper provides a novel CE paradigm that utilizes a data-driven and systems science approach; describes the composition, functions, and roles of researchers in CE; discusses unique ethical considerations that are particularly salient to CE research; and provides a description of how systems science and data-driven approaches to CE may be employed to select a range of EBPs that collectively address community needs. Finally, we conclude with scientific recommendations for the use of CE in research. Greater investment in CE research is needed to ensure contextual, equitable, and sustainable access to EBPs, such as medications for OUD (MOUD) in communities heavily impacted by the opioid epidemic. A data-driven approach to CE research guided by systems science has the potential to ensure adequate saturation and sustainability of EBPs that could significantly reduce opioid overdose and health inequities across the US.

Community dashboards to support data-informed decision-making in the HEALing communities study

BACKGROUND

With opioid misuse, opioid use disorder (OUD), and opioid overdose deaths persisting at epidemic levels in the U.S., the largest implementation study in addiction research-the HEALing Communities Study (HCS)-is evaluating the impact of the Communities That Heal (CTH) intervention on reducing opioid overdose deaths in 67 disproportionately affected communities from four states (i.e., "sites"). Community-tailored dashboards are central to the CTH intervention's mandate to implement a community-engaged and data-driven process. These dashboards support a participating community's decision-making for selection and monitoring of evidence-based practices to reduce opioid overdose deaths.

METHODS/DESIGN

A community-tailored dashboard is a web-based set of interactive data visualizations of community-specific metrics. Metrics include opioid overdose deaths and other OUD-related measures, as well as drivers of change of these outcomes in a community. Each community-tailored dashboard is a product of a co-creation process between HCS researchers and stakeholders from each community. The four research sites used a varied set of technical approaches and solutions to support the scientific design and CTH intervention implementation. Ongoing evaluation of the dashboards involves quantitative and qualitative data on key aspects posited to shape dashboard use combined with website analytics.

DISCUSSION

The HCS presents an opportunity to advance how community-tailored dashboards can foster community-driven solutions to address the opioid epidemic. Lessons learned can be applied to inform interventions for public health concerns and issues that have disproportionate impact across communities and populations (e.g., racial/ethnic and sexual/gender minorities and other marginalized individuals).

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04111939).