Ani Movsisyan is a Barnett Scholar and a doctoral student in Social Intervention. She completed an MSc in Evidence-Based Social Intervention in 2014. Her studies at Oxford have been supported by the Open Society and Luys Foundations. Prior to joining the Department of Social Policy and Intervention, Ani was affiliate of the Center for Health Services Research and Development at the American University of Armenia (AUA). She earned an MPH from the School of Public Health at AUA in 2013.
Ani is interested in the broad issues of social epidemiology and evaluation of complex social and public health interventions with the application of best-informed and most comprehensive methodologies. Her previous methodological research has included assessment of the diagnostic accuracy of Post-traumatic Stress Disorder Checklist and Centre for Epidemiologic Studies Depression Scale among 1988 Spitak Earthquake survivors in Armenia. Ani has also worked to inform decisions of the Ministry of Health of the Republic of Armenia in the development and implementation of a nationwide strategy to reform mental health services in the country.
Ani’s doctoral research focuses on the development of a methodology for synthesising and rating the quality of evidence for social interventions with the consideration of the complexity in the programmatic, implementation and contextual aspects of these interventions. Specifically, her project seeks to extend the well-established Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to better describe the evidence base of social interventions. These interventions are most frequently complex and involve multiple interacting and hard-to-standardise components, long causal pathways, and operate via psychosocial and structural change mechanisms. In this light, methodologies such as the GRADE approach, which has been developed and primarily used in the context of biomedical treatments, have limitations in integrating the vast amount of evidence on intervention implementation, context and mechanisms to augment the information value for decision-makers. Ani's DPhil project will use a consensus-based methodology to extend the GRADE approach for complex social interventions. As part of her DPhil project, Ani helped to draft a grant proposal to the Economic and Social Research Council (ESRC) to enlarge the scope of this investigation and establish a Steering Committee of leading experts to coordinate the project. The project has been approved for funding and officially launched at the beginning of 2016 led by Prof Montgomery.