Mid-Atlantic CFAR Consortium (MACC+) Implementation Science Consultation Hub

As one of the nine national IS hubs for the Ending the HIV Epidemic (EHE) initiative, the Hopkins Hub (formerly the Mid-Atlantic CFAR Consortium Implementation Science Consultation Hub (MACC+)) provides technical assistance through coaching, group-based mentorship, training, and review to CFAR investigators, EHE awardees, health department officials, community stakeholders, and other HIV implementation science investigators. Led by Drs. Sheree Schwartz and Stefan Baral, the Hopkins Hub is funded by the NIH under the national EHE initiative. 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, applied learning activities, and intensive IS coaching. By expanding collaboration across the CFAR network and strengthening partnerships with Health Departments and community stakeholders, the Hopkins Hub is developing a collaborative network aimed at supporting the EHE agenda and NIH HIV/AIDS research priorities. 

 

Consultation Services: 

Are you a CFAR investigator, Health Department official, EHE Awardee or other community member who would benefit from expertise in implementation science related to HIV prevention, diagnosis, and treatment strategies for ongoing research or a new proposal? 

 

Book a consult with our expert faculty here 

For any queries contact Lipin Lukose (llukose2@jh.edu)  

 

Who is eligible? 

  • EHE awardees 
  • Health department officials 
  • Community Stakeholders 
  • Other faculty 
  • CFAR investigators 
  • Other HIV IS researchers 

 

What do we offer? 

 
As one of the nine IS hubs for the Ending the HIV Epidemic initiative, the Hopkins Hub (formerly MACC+) provides technical assistance in the areas of HIV prevention, diagnosis, and treatment strategies. Examples of technical support that we can offer are: 

  • Selecting or better understanding a framework 
  • Exploring ways to engage partners, including utilization of participatory methods, human-centered design and community-led monitoring 
  • Identifying data sources 
  • Defining your target, source, and study population 
  • Framing implementation science research questions and/or refining your specific aims 
  • Developing your logic model 
  • Selecting study designs, including use of adaptive study design methods 
  • Applying implementation outcomes 
  • Use of technologies and many more! 

 

 

Core Mentors for Hopkins Hub 

 

Dr. Sheree Schwartz, PhD, MPH

  • Experienced in all cascade steps & PrEP 
  • Designs: Cluster Randomized Control Trials, Quasi-Experimental using Observational data, Adaptive Interventions (e.g. SMARTs), MOST, Qualitative 
  • Frameworks: EPIS, CFIR, RE-AIM, PRISM 
  • Program data in Implementation Research 

 

Dr. Stefan Baral, MD, FRCPC, CCFP, MPH, MSc 

  • Experienced in all cascade steps & PrEP 
  • Designs: Hybrid, quasi-experimental using observational data, adaptive interventions, surveillance data 
  • Frameworks: EPIS, CFIR, RE-AIM 

 

Dr. Chris Hoffman, MD, MPH 

  • Cascade Steps: Testing/Diagnosing, Linking to ART/treatment initiation, Sustaining ART/adherence/ retention 
  • Designs: cluster RCT, hybrid, quasi-experimental using observational data, focus group, interviews 
  • Frameworks: EPIS, CFIR, RE-AIM, COM-B 
  •  

Dr. Seun Falade-Nwulia

  • Cascade Steps: All cascade steps for HIV and hepatitis C 
  • Designs: Randomized control trials, Quasi-Experimental using Observational data 
  • Frameworks: RE-AIM, CFIR, PRISM 

 

Dr. Laura Beres

  • Cascade Steps: Experienced in all cascade steps & PrEP 
  • Designs: Participatory mixed methods research including human-centered design, in-depth and rapid qualitative designs, preference assessment (e.g., DCE, BWS), Cluster Randomized Control Trials, Stepped wedge designs; Quasi-Experimental using Observational data, observational designs (e.g. cross-sectional), Hybrid implementation-effectiveness, exploratory or explanatory mixed methods 
  • Frameworks: Familiarity and ability to support a wide variety of behavioral/organizational; determinant; planning and evaluative frameworks. Utilization of frameworks including EPIS, CFIR, RE-AIM, COM-B, FRAME-IS and others