Using paired cultural modelling and cultural consensus analysis to maximize programme suitability in local contexts

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Abstract

Cultural consensus analysis (CCA) is a quantitative method for determining cohesion in a specified cultural domain and cultural modelling (CM) is a method for designing and testing connections within a cultural domain based on qualitative data collection. After a description of the methods, and examples of their application, we provide a description of three main points in the programme planning, implementation and evaluation cycle at which the method can best be utilized to plan, contextualize or evaluate programmes and policies. In addition, the use of CCA and CM is not constrained to one point in time though, in order to maximize its ability to help with programme design or evaluation, it ought to be done as early as possible in the process. Through examples from research, and a broader description of the methods of CM and analysis, we provide another tool for global public health practitioners, planners and policymakers. We argue these tools can be used to great effect in a short period of time to maximize the local suitability, acceptability and quality of proposed and implemented interventions, building on existing local strengths, not just in maternal health but, more broadly.

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Strong, A. E., & White, T. L. (2020). Using paired cultural modelling and cultural consensus analysis to maximize programme suitability in local contexts. Health Policy and Planning, 35(1), 115–121. https://doi.org/10.1093/heapol/czz096

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