Article type
Year
Abstract
Background: Logic models are useful tools that are recommended for equity-oriented systematic reviews. They aim to explain how interventions work and how different factors interact. For this systematic review, a logic model was developed to facilitate the understanding of the complex interventions aiming at increasing the use of insecticide-treated bednets.
Objectives: To develop a logic model to frame the research question and guide the systematic review process.
Methods: A multi-stage revision process was conducted in which topic experts, stakeholders, and researchers with expertise in systematic reviews, knowledge translation, malaria, and health equity were involved and their feedback incorporated. This multidisciplinary approach ensured that the logic model was examined from different perspectives and that all essential components were included.
Results: Initially, a research question was specified based on literature review and consulting stakeholders and malaria experts. Populations, interventions, and outcomes were identified. Classifying complex interventions was the most challenging part of developing the logic model. Building on existing research, interventions were classified in three major groups: interventions focusing on delivery mechanisms, interventions focusing on the proper use of the bednets such as education and peer monitoring, and interventions that combined the first two groups. Intervention categories were further subclassified accounting for the channel through which the intervention was delivered, duration of the intervention, cost to the end user, choice of the intervention and accessibility, and sector of delivery. The logic model that was developed guided the systematic review process, and it enabled us to present our research in an understandable manner (Figure1 and Figure2).
Conclusions: Logic models are useful tools for conceptualizing complex interventions. They can facilitate a systematic review process, and may be used in policy planning and field research.
Objectives: To develop a logic model to frame the research question and guide the systematic review process.
Methods: A multi-stage revision process was conducted in which topic experts, stakeholders, and researchers with expertise in systematic reviews, knowledge translation, malaria, and health equity were involved and their feedback incorporated. This multidisciplinary approach ensured that the logic model was examined from different perspectives and that all essential components were included.
Results: Initially, a research question was specified based on literature review and consulting stakeholders and malaria experts. Populations, interventions, and outcomes were identified. Classifying complex interventions was the most challenging part of developing the logic model. Building on existing research, interventions were classified in three major groups: interventions focusing on delivery mechanisms, interventions focusing on the proper use of the bednets such as education and peer monitoring, and interventions that combined the first two groups. Intervention categories were further subclassified accounting for the channel through which the intervention was delivered, duration of the intervention, cost to the end user, choice of the intervention and accessibility, and sector of delivery. The logic model that was developed guided the systematic review process, and it enabled us to present our research in an understandable manner (Figure1 and Figure2).
Conclusions: Logic models are useful tools for conceptualizing complex interventions. They can facilitate a systematic review process, and may be used in policy planning and field research.
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