About
About the Dashboard
Established in 2019 by the US Government, EHE aims to end the HIV epidemic as a public health threat in the US by 2030
This dashboard summarizes published manuscripts on HIV-related implementation science in the US. The dashboard can help 1) synthesize what we know, 2) identify gaps in our knowledge and research, and 3) connect community organizations and researchers interested in HIV implementation science. Since 2019, the US National Institutes of Health have funded over 200 Ending the HIV Epidemic (EHE) implementation science projects with over 400 community partners to improve public health practice. This dashboard is updated quarterly. It currently includes papers from EHE awards and US domestic HIV implementation science published between 2021-2025.
Hopkins IS Hub
The Hopkins Hub (previously Mid-Atlantic Center for AIDS Research [CFAR] Consortium) is an NIH-funded resource to provide Ending the HIV Epidemic (EHE) related technical consultation and support in implementation science. We provide technical assistance through coaching, group-based mentorship, training, and review to EHE awardees, potential EHE investigators, health department officials, community stakeholders, and other HIV implementation science investigators. The Hub seeks to accelerate HIV prevention, diagnosis, and treatment strategies by providing mentoring and technical support to ongoing and future implementation science (IS) projects and investigators. We also offer mentorship and development opportunities through didactic training through our flagship HIV and Implementation Science Fellowship program (https://hopkinscfar.org/science-cores/hiv-implementation-science-fellowship), applied learning activities, and intensive IS coaching. We further leverage meta-science and experiences across EHE awardees to further advance generalizable knowledge related to EHE in the U.S. By expanding collaboration across the CFAR network and strengthening partnerships with Health Departments and community stakeholders, the JHU Hub is developing a collaborative network aimed at supporting the EHE agenda and NIH HIV/AIDS research priorities.
Meet the Team
Sheree Schwartz, PhD, MPH
Seun Falade-Nwulia, MBBS, MPH
Reva Datar, PhD, MPH
Stefan Baral, MD, FRCPC, CCFP, MPH, MSc
Laura Beres, PhD, MPH
Chris Kemp, PhD, MPH
Chis Hoffman, MD, MPH
Tyler Johnson, DrPH, MPH
Colleen Hanrahan, PhD, MS
Lipin Lukose, PharmD, MPH
Mary Anne Roach, MSPH
Methods
Included articles reflect studies that 1) used EHE funding and 2) were peer-reviewed. To date, included articles have been identified through coordination with the HIV Implementation Science Coordination Initiative (ISCI) and searches for publications on NIH RePORTER based on grant number. Eligible articles were manually screened for full-text inclusion. Two independent reviewers screened titles, abstracts, full texts, and funding sources to minimize bias and errors.
Dashboard Use Cases
Through early conversations, user testing, and design workshops, we identified a set of core use cases that the dashboard supports. These include:
- Finding published research from EHE implementation science studies
- Tracking what has been done and learned—synthesizing outcomes, strategies, and frameworks
- Exploring how community partners have been engaged in the research
- Identifying knowledge gaps for future research and practice
- Generating new research questions or sampling frames for reviews and syntheses
- Supporting partnerships and collaboration by highlighting who is working on what—and where
The dashboard organizes and visualizes study data to support these uses, offering filters by geographic area, population focus, HIV continuum target, study design, and community engagement.
User Testing and Dashboard Development
To ensure the dashboard was responsive to real-world needs, we conducted multiple rounds of user testing. Across these sessions, participants from each stakeholder group interacted with dashboard prototypes and shared feedback in real time.
Discussions focused on both function (ease of use, layout, filters) and form (content, usefulness, language). Insights from these sessions were analyzed thematically and directly informed the visual design, navigation, and structure of the dashboard. We worked with experienced web developers to build and refine the dashboard in line with this feedback.
The dashboard is a living tool that will continue to evolve through regular updates as additional research is published.
Plain Language Summaries
Plain language versions of study objectives and abstracts displayed on publication profile pages were generated with the assistance of an AI-based language tool and reviewed by the research team for accuracy and consistency with the source materials.
Data Sources and Extraction
Studies eligible for inclusion in this dashboard include EHE-funded HIV implementation science studies conducted in the United States. All data displayed on the dashboard are drawn from publicly available peer-reviewed articles and conference abstracts. To date, included articles have been identified through coordination with the HIV Implementation Science Coordination Initiative (ISCI), direct requests for publications from EHE awardees, and searches for publications on NIH RePORTER based on grant number. All articles were manually screened for full-text inclusion. Two independent reviewers screened titles, abstracts, full texts, and funding sources.
Following screening, initial data extraction was conducted using Elicit to systematically identify and populate key study characteristics based on the standardized extraction framework. Extracted data were then reviewed by the research team using the same quality assurance procedures applied in prior iterations, including manual verification against source documents and reconciliation of discrepancies. Using a standardized protocol, a trained research team reviewed each publication and abstracted relevant data where possible (see Table). Data were entered into a shared Airtable database and cross-checked for consistency and completeness.
Data Abstraction Categories | Definition/Description |
Publication information | Journal, date of publication, doi |
Study methods | Study design, data analysis approach (e.g., quantitative, qualitative, mixed-methods) |
Intervention Information | Evidence-based Intervention, intervention type, cascade target |
Participant Characteristics | Sample size, demographics |
EHE Information | Year of EHE award, EHE Pillar, EHE priority jurisdiction, EHE priority population |
Stage of Implementation | Researchers referred to Aaron & colleagues’ (2011) definition of each stage (Exploration, Preparation, Implementation, Sustainment) to determine stage of implementation. |
Implementation Strategies | Guided by Powell & colleagues’ (2012) work on implementation strategies, researchers abstracted reported strategies or approaches pertaining to the evidence-based intervention(s) being investigated. |
Implementation Science Frameworks | Researchers abstracted reported Implementation Science Frameworks or models (e.g., CFIR, RE-AIM) |
Outcomes | Researchers abstracted any reported implementation outcomes (Proctor et al., 2011), clinical outcomes, and service outcomes |
Community/Implementing Partner | Type of community partner (e.g., CBO, Ryan White Clinic, Health Department), organization name |
Community engagement in research activities | Guided by Khodyakov & colleagues’ (2012) survey on community involvement in research, researchers abstracted data in which authors reported community participation in pre-specified research activities. |
Barriers and facilitators to implementation | Researchers abstracted reported barriers and facilitators as well as the strategy or cascade target reported in relation to each. |
Aarons, G.A., Hurlburt, M. & Horwitz, S.M. Advancing a Conceptual Model of Evidence-Based Practice Implementation in Public Service Sectors. Adm Policy Ment Health 38, 4–23 (2011). https://doi.org/10.1007/s10488-010-0327-7
Proctor, E.K., Powell, B.J. & McMillen, J.C. Implementation strategies: recommendations for specifying and reporting. Implementation Sci 8, 139 (2013). https://doi.org/10.1186/1748-5908-8-139
Powell BJ, McMillen JC, Proctor EK, Carpenter CR, Griffey RT, Bunger AC, et al. A compilation of strategies for implementing clinical innovations in health and mental health. Med Care Res Rev. 2012;69:123–57.
Khodyakov D, Stockdale S, Jones A, Mango J, Jones F, Lizaola E. On Measuring Community Participation in Research. Health Education & Behavior. 2012;40(3):346-354. doi:10.1177/1090198112459050
Contibute Your Work
This dashboard aims to serve as a repository for not only peer-reviewed publications, but also for products, tools, and presentations deriving from EHE projects. We invite any EHE-supported scientists, implementation partners, and/or community partners to share additional materials (e.g., tools, podcasts, conference abstracts, poster presentations, slide decks) about your EHE project on our website so that they can be shared with others. To do so, please fill out our “Share my Resources” request form. Please review our list of criteria for eligible resources for more information. EHE Dashboard staff will review your materials in 2-3 days and, if eligible, will upload your resources to our site.