Valuing and embracing complexity: How an understanding of complex interventions needs to shape our evaluation capacities building initiatives |
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| Institution: | 1. The Evaluation Centre for Complex Health Interventions, St. Michael’s Hospital, Canada;2. Institute for Health Policy, Management and Evaluation, University of Toronto, Canada;1. Vantage Evaluation, United States;2. Claremont Graduate University, United States;1. Texas A&M University, College of Education and Human Development, Department of Health and Kinesiology, MS 4243, College Station, TX 77843-4243, USA;2. Texas A&M University, Health Science Center, School of Public Health, MS 1266, College Station, TX 77843-1266, USA;1. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, K1G 5Z3, Canada;2. Department of Innovation in Medical Education, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, K1H 8M5, Canada;3. Population Health, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, K1N 7K4, Canada;4. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, K1H 8L6, Canada;1. School of Economics and Management, Xidian University, No. 2 South Taibai Street, Xi’an, Shaanxi Province, PR China;2. Shaanxi Xi ''an Yanta District, Shida Road, Shaanxi Normal University, Xi’an, Shaanxi Province, PR China;1. RTI International, 3040 East Cornwallis Road, P.O. Box 12194 Research Triangle Park, NC, 27709-2194, United States;2. 2M Research, 10 Glenlake Pkwy, Suite 130, Atlanta, GA, 30328, United States |
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| Abstract: | This paper describes some of the main challenges of evaluating complex interventions, as well as the implications of such challenges for evaluation capacity building. It discusses lessons learned from a case study of an evaluation of Dancing with Parkinson’s, an organization that provides dance classes to people with Parkinson’s disease in Toronto, Canada. These implications are developed from a realist evaluation lens. Key lessons include the need to develop skills to understand program mechanisms and contexts, recognize multiple models of causality, apply mixed method designs, and ensure the successful scaling up and spread of an intervention. |
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| Keywords: | Evaluation capacity building Complex interventions Realist evaluation |
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