Process evaluations in complex social and health interventions  - Dr Yulia Shenderovich View this email in your browser (https://mailchi.mp/9da713c1d8db/invitation-einladung-primhe-6221379?e=6ad530...) PriMHE (https://meduniwien.us11.list-manage.com/track/click?u=6b3c970a0f040bf1af8eb937f&id=23c4444aeb&e=6ad530a1ca) PriMHE Programme in the Methods of Health Economics ‘Process evaluations in complex social and health interventions’ Dr Yulia Shenderovich Yulia works as a Senior Lecturer at Cardiff University in Wales, UK. Yulia is based at the Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement and the Wolfson Centre for Young People's Mental Health. Yulia is an Associate Member of the Oxford University Department of Social Policy and Intervention, where she completed her MPhil, followed by a PhD at the University of Cambridge. Yulia works on issues of the implementation and scale-up of programmes and services for children and young people, primarily in Eastern Europe and Southern Africa. Date: 21 March 2023, 12:00-13:00 CET / Virtual Webex Event Summary Alongside the emphasis on “what works” in social and public health policies, there is also a growing emphasis on understanding “how” and “why” programmes and policies work (or do not work). Process evaluations are studies designed to provide an understanding of programme implementation, mechanisms of impact, and the context in which a programme or service is delivered. The talk will signpost some of the tools that are available for conducing process evaluations, such as the key relevant guidelines. The lecture will share some of the methodological challenges and lessons learned from process evaluations conducted in different contexts, such as within a randomised controlled evaluation of a violence-reduction parenting programme in South Africa and alongside the scale-up of programmes to support academic attainment in schools in England. This lecture is accredited with 1 DFP-point for members of the Austrian Medical Chamber. Webex Login Information https://meduniwien.us11.list-manage.com/track/click?u=6b3c970a0f040bf1af8eb937f&id=15c774fe3f&e=6ad530a1ca Event number: 2733 907 5343 Event password: mUdwnyP7i32 (68396977 from video systems) Join by video system: Dial 27339075343@meduniwien.webex.com You can also dial 62.109.219.4 and enter your meeting number. Join by phone: +437-203-800461 Austria Toll Access code: 2733 907 5343 Global call-in numbers (https://meduniwien.us11.list-manage.com/track/click?u=6b3c970a0f040bf1af8eb937f&id=88b7af55d7&e=6ad530a1ca) https://meduniwien.us11.list-manage.com/track/click?u=6b3c970a0f040bf1af8eb937f&id=9c4f5928cf&e=6ad530a1ca For registration (free) please contact: E-mail: primhe@meduniwien.ac.at (mailto:primhe@meduniwien.ac.at?subject=PriMHE) Tel: +43 1 40160 34848 Copyright © 2023 Medical University of Vienna, Center for Public Health, Department of Health Economics. All rights reserved. unsubscribe from this list (https://meduniwien.us11.list-manage.com/unsubscribe?u=6b3c970a0f040bf1af8eb937f&id=d417118fb9&e=6ad530a1ca&c=c679c0d6b7) update subscription preferences (https://meduniwien.us11.list-manage.com/profile?u=6b3c970a0f040bf1af8eb937f&id=d417118fb9&e=6ad530a1ca&c=c679c0d6b7) ============================================================ This email was sent to noeg-l@wu.ac.at (mailto:noeg-l@wu.ac.at) why did I get this? (https://meduniwien.us11.list-manage.com/about?u=6b3c970a0f040bf1af8eb937f&id=d417118fb9&e=6ad530a1ca&c=c679c0d6b7) unsubscribe from this list (https://meduniwien.us11.list-manage.com/unsubscribe?u=6b3c970a0f040bf1af8eb937f&id=d417118fb9&e=6ad530a1ca&c=c679c0d6b7) update subscription preferences (https://meduniwien.us11.list-manage.com/profile?u=6b3c970a0f040bf1af8eb937f&id=d417118fb9&e=6ad530a1ca&c=c679c0d6b7) Medical University of Vienna, Center for Public Health, Department of Health Economics . Kinderspitalgasse 15/1 . Vienna 1090 . Austria Email Marketing Powered by Mailchimp http://www.mailchimp.com/email-referral/?utm_source=freemium_newsletter&utm_medium=email&utm_campaign=referral_marketing&aid=6b3c970a0f040bf1af8eb937f&afl=1