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JOURNAL ARTICLE

Evaluating the Effectiveness of Complex, Multi-component, Dynamic, Community-Based Injury Prevention Interventions: A Statistical Framework

Shrikant I Bangdiwala, Tasneem Hassem, Lu-Anne Swart, Ashley van Niekerk, Karin Pretorius, Deborah Isobell, Naiema Taliep, Samed Bulbulia, Shahnaaz Suffla, Mohamed Seedat
Evaluation & the Health Professions 2018, 41 (4): 435-455
30376737
Dynamic violence and injury prevention interventions located within community settings raise evaluation challenges by virtue of their complex structure, focus, and aims. They try to address many risk factors simultaneously, are often overlapped in their implementation, and their implementation may be phased over time. This article proposes a statistical and analytic framework for evaluating the effectiveness of multilevel, multisystem, multi-component, community-driven, dynamic interventions. The proposed framework builds on meta regression methodology and recently proposed approaches for pooling results from multi-component intervention studies. The methodology is applied to the evaluation of the effectiveness of South African community-centered injury prevention and safety promotion interventions. The proposed framework allows for complex interventions to be disaggregated into their constituent parts in order to extract their specific effects. The potential utility of the framework is successfully illustrated using contact crime data from select police stations in Johannesburg. The proposed framework and statistical guidelines proved to be useful to study the effectiveness of complex, dynamic, community-based interventions as a whole and of their components. The framework may help researchers and policy makers to adopt and study a specific methodology for evaluating the effectiveness of complex intervention programs.

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