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25. Measuring service coverage and impact of HIV interventions in key and vulnerable populations

September 28 - October 2

September 28October 2, 2020

Background

Adequate programmatic service coverage levels among key populations affected by the HIV epidemic, namely female sex workers [FSW], people who inject drugs [PWID], men who have sex with men [MSM]) and transgender persons, is a critical component for achieving HIV epidemic control. Real-time programmatic data are increasingly available by various delivery points such as prevention services, HIV testing, laboratory services and HIV patient monitoring programmes. However, measuring the coverage of essential services among key

populations has been a challenge for national programmes and international organizations due to various deficiencies  such as fragmented manner of services provision, concentration of services in larger urban areas and insufficient inclusion of services of community groups into the  national reporting system.

“Coverage” describes the extent to which an intervention is delivered to the target

population. The majority of the coverage indicators involve the use of programme data and population size estimates to estimate percentage levels of coverage. The reliability of coverage estimates derived by this method depends upon the completeness and quality of both the programme data and the population size estimate. To monitor coverage using programme data, it is important that programmes use a unique identifier code (UIC), which enables a service to record individual clients’ patterns of attendance. The use of UIC 

protects confidentiality and privacy of individuals captured in the programme records.

Coverage may also be assessed using bio-behavioural surveys (BBS).  The reliability of the findings from surveys depends on how representative the sample is of the broader population. BBS can only be implemented with limited frequency i.e. rarely more than biennially in a selected number of sites in a country. In comparison to that, programme data should be available to measure coverage with interventions on an on-going basis.

 

Course objectives:

  • Illustrate population size estimation methods (multiplier, capture-recapture, programmatic mapping and network scale-up) needed to estimate programmatic service coverage 
  • Describe IBBS as a source of service coverage estimates and highlight best practices
  • Describe methods of measuring impact of HIV programmes with the focus on HIV incidence and HIV mortality
  • Provide overview of most effective interventions for reaching epidemic control in key and vulnerable populations:
    • PrEP
    • needle and syringe programmes (NSP) and opioid substitution therapy (OST)
    • HIV testing (index testing and partner notification, social network testing and HIV self-testing, community-based testing) 
    • Linkage to HIV care and treatment (linkage case management)
    • Retention and re-engagement in HIV treatment (tracing patients lost-to-follow up, patient navigators, differentiated ART delivery, use of digital media)
  • Describe methods of data quality assurance in HIV programmes 
  • Learn how to use cascade data to understand service coverage, target performance improvement and provide recommendations for the most effective and feasible interventions

During the course participants can work in groups or individually on proposals that they can later on use in their work. Participants may choose among the following options: 

  • Option A – Develop a proposal for measuring HIV coverage and impact indicators for specific interventions or a larger HIV programme (at sub-national or national-level)
  • Option B –  Analyze coverage with HIV services (for example, HIV testing, viral load testing, re-engagement in HIV treatment) from various data sources that participants may have access to. Other tasks include identifying gaps in service coverage and recommending interventions to close the gaps.  
  • Option C –  Develop a plan for strengthening routine data sources for programmatic coverage monitoring. These data sources can be various – HIV testing, harm reduction services, ART monitoring, viral load testing, tracing patients lost from HIV care, etc.

Participants can prepare approximately 3-pages summary of the proposals on which they will get a feedback from facilitators  at the end of the course (on Day 5).  

 

Teaching Methods

Due to likely limited ability to travel due to the COVID-19 epidemic in 2020, this will be an on-line course delivered via Zoom. 

Our on-line interactive trainings have the following features:

  • camera, sound and the training room optimized for on-line trainings
  • optimum group size is not more than 20 participants
  • lecturers deliver live lectures using interactive Power-Point, White-board, instant polls and chat
  • lecturers are on camera, with two-way interaction with the audience
  • small group work will run through virtual break-out rooms, with lecturers visiting the rooms to deliver input during the exercises
  • participants can present their individual  work back to the larger group
  • the training will be delivered in the morning and in the afternoon due to different time-zones of lecturers (Zagreb, Croatia and San Francisco, USA)


The benefits of the on-line trainings:

  • enable participation of lecturers from different time-zones
  • cost-optimization
  • resilient to changes in travel and border-crossing rules due to the pandemic
  • allow the participants to keep up with the daily work tasks as the training is delivered in half-day sessions

The course consists of lectures, exercises and case studies.  

Participants will have opportunities to share their own country-specific experiences and challenges. 

 

Fee

The course fee is 650 USD. The fee should be paid by 4 September 2020. It includes on-line teaching and presentations that will be made for the course.  

 

Lecturers

  • Professor George W. Rutherford, MD, Institute for Global Health Sciences, University of California, San Francisco, USA; George.Rutherford@ucsf.edu
  • Associate professor Ivana Bozicevic, MD, DrPH, WHO Collaborating Centre for HIV Strategic Information, School of Medicine, University of Zagreb, Croatia; ivana.bozicevic23@gmail.com
  • Zoran Dominkovic, WHO Collaborating Centre for HIV Strategic Information, School of Medicine, University of Zagreb, Croatia; zoran.dominkovic@gmail.com
  • Jurja Ivana Adamsky, MD, WHO Collaborating Centre for HIV Strategic Information, School of Medicine, University of Zagreb, Croatia;  jurjaivana@gmail.com

 

This course is held on-line. 

Za Web Course September 2020 Program.docx

Details

Start:
September 28
End:
October 2
Event Category:

Venue

Online Training Course

Organizer

HIV Evaluation Center

Apply here for this training course

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