BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Centre for HIV Strategic Information - ECPv5.1.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Centre for HIV Strategic Information
X-ORIGINAL-URL:https://www.hivevaluation.org
X-WR-CALDESC:Events for Centre for HIV Strategic Information
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200928
DTEND;VALUE=DATE:20201003
DTSTAMP:20260609T195906
CREATED:20200711T120042Z
LAST-MODIFIED:20200723T125243Z
UID:787-1601251200-1601683199@www.hivevaluation.org
SUMMARY:25. Measuring service coverage and impact of HIV interventions in key and vulnerable populations
DESCRIPTION:\nSeptember 28 – October 2\, 2020\nBackground\n\n\n\nAdequate 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 \n\n\n\npopulations 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. \n\n\n\n“Coverage” describes the extent to which an intervention is delivered to the target \n\n\n\npopulation. 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  \n\n\n\nprotects confidentiality and privacy of individuals captured in the programme records. \n\n\n\nCoverage 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. \n\n\n\n  \nCourse objectives:\n\n\n\n\nIllustrate population size estimation methods (multiplier\, capture-recapture\, programmatic mapping and network scale-up) needed to estimate programmatic service coverage \nDescribe IBBS as a source of service coverage estimates and highlight best practices\nDescribe methods of measuring impact of HIV programmes with the focus on HIV incidence and HIV mortality\nProvide overview of most effective interventions for reaching epidemic control in key and vulnerable populations:\n\nPrEP\nneedle and syringe programmes (NSP) and opioid substitution therapy (OST)\nHIV testing (index testing and partner notification\, social network testing and HIV self-testing\, community-based testing) \nLinkage to HIV care and treatment (linkage case management)\nRetention and re-engagement in HIV treatment (tracing patients lost-to-follow up\, patient navigators\, differentiated ART delivery\, use of digital media)\n\n\nDescribe methods of data quality assurance in HIV programmes \nLearn how to use cascade data to understand service coverage\, target performance improvement and provide recommendations for the most effective and feasible interventions\n\n\n\n\nDuring 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:  \n\n\n\n\nOption 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)\n\n\n\n\n\nOption 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.  \n\n\n\n\n\nOption 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.\n\n\n\n\nParticipants 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).   \n\n\n\n  \nTeaching Methods\n\n\n\nDue to likely limited ability to travel due to the COVID-19 epidemic in 2020\, this will be an on-line course delivered via Zoom.  \n\n\n\nOur on-line interactive trainings have the following features: \n\n\n\n\ncamera\, sound and the training room optimized for on-line trainings\noptimum group size is not more than 20 participants\nlecturers deliver live lectures using interactive Power-Point\, White-board\, instant polls and chat\nlecturers are on camera\, with two-way interaction with the audience\nsmall group work will run through virtual break-out rooms\, with lecturers visiting the rooms to deliver input during the exercises\nparticipants can present their individual  work back to the larger group\nthe training will be delivered in the morning and in the afternoon due to different time-zones of lecturers (Zagreb\, Croatia and San Francisco\, USA)\n\n\n\n\nThe benefits of the on-line trainings: \n\n\n\n\nenable participation of lecturers from different time-zones\ncost-optimization\nresilient to changes in travel and border-crossing rules due to the pandemic\nallow the participants to keep up with the daily work tasks as the training is delivered in half-day sessions\n\n\n\n\nThe course consists of lectures\, exercises and case studies.   \n\n\n\nParticipants will have opportunities to share their own country-specific experiences and challenges.  \n\n\n\n  \nFee\n\n\n\nThe 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.   \n\n\n\n  \nLecturers\n\n\n\n\nProfessor George W. Rutherford\, MD\, Institute for Global Health Sciences\, University of California\, San Francisco\, USA; George.Rutherford@ucsf.edu\nAssociate professor Ivana Bozicevic\, MD\, DrPH\, WHO Collaborating Centre for HIV Strategic Information\, School of Medicine\, University of Zagreb\, Croatia; ivana.bozicevic23@gmail.com\nZoran Dominkovic\, WHO Collaborating Centre for HIV Strategic Information\, School of Medicine\, University of Zagreb\, Croatia; zoran.dominkovic@gmail.com\nJurja Ivana Adamsky\, MD\, WHO Collaborating Centre for HIV Strategic Information\, School of Medicine\, University of Zagreb\, Croatia;  jurjaivana@gmail.com\n\n\n\n\n\n\n  \nThis course is held on-line.  \n\n\n\n \n			@media only screen and (min-device-width: 1024px) {\n				iframe.embed-pdf-viewer { display:none; }\n				object.embed-pdf-viewer { display:block; }\n			}\n		\nZa Web Course September 2020 Program.docx  \n
URL:https://www.hivevaluation.org/training-course/measuring-service-coverage-and-impact-of-hiv-interventions-in-key-and-vulnerable-populations/
LOCATION:Online Training Course
CATEGORIES:Courses on HIV Programme Implementation and Evaluation
END:VEVENT
END:VCALENDAR