Surgo Foundation, Seattle, United States; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, United States; Department of Global Health, University of Washington, Seattle, United States
Maria Eletskaya
Cello Health Insight, London, United Kingdom
Elisabeth Engl
Surgo Foundation, Seattle, United States
Owen Mugurungi
Ministry of Health and Child Care, Harare, Zimbabwe
Bushimbwa Tambatamba
Mother and Child Health, Ministry of Community Development, Lusaka, Zambia
Gertrude Ncube
Ministry of Health and Child Care, Harare, Zimbabwe
Sinokuthemba Xaba
Ministry of Health and Child Care, Harare, Zimbabwe
Alice Nanga
Ipsos Healthcare, London, United Kingdom
Svetlana Gogolina
Ipsos Healthcare, London, United Kingdom
Patrick Odawo
Ahimsa Group LLC, Nairobi, Kenya
Sehlulekile Gumede-Moyo
Ipsos Healthcare, London, United Kingdom; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
Public health programs are starting to recognize the need to move beyond a one-size-fits-all approach in demand generation, and instead tailor interventions to the heterogeneity underlying human decision making. Currently, however, there is a lack of methods to enable such targeting. We describe a novel hybrid behavioral-psychographic segmentation approach to segment stakeholders on potential barriers to a target behavior. We then apply the method in a case study of demand generation for voluntary medical male circumcision (VMMC) among 15–29 year-old males in Zambia and Zimbabwe. Canonical correlations and hierarchical clustering techniques were applied on representative samples of men in each country who were differentiated by their underlying reasons for their propensity to get circumcised. We characterized six distinct segments of men in Zimbabwe, and seven segments in Zambia, according to their needs, perceptions, attitudes and behaviors towards VMMC, thus highlighting distinct reasons for a failure to engage in the desired behavior.