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A Framework for integrating qualitative and quantitative data in knowledge attitude and practice studies: A case study of pesticide usage in eastern Uganda

机译:将定性和定量数据纳入知识态度和实践研究的框架:乌干达东部农药使用案例研究

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摘要

Knowledge attitude and practice (KAP) studies guide the implementation of public health interventions (PHIs) and they are important tools for political persuasion. The design and implementation of PHIs assumes a linear KAP relationship i.e. an awareness campaign results in the desirable societal behavioral change. However, there is no robust framework for testing this relationship before and after PHIs. Here we use qualitative and quantitative data on pesticide usage to test this linear relationship, identify associated context specific factors as well as assemble a framework that could be used to guide and evaluate PHIs.We used data from a cross-sectional mixed methods study on pesticide usage. Quantitative data were collected using a structured questionnaire from 167 households representing 1002 individuals. Qualitative data were collected from key informants and focus group discussions. Quantitative and qualitative data analysis was done in R 3.2.0 as well as qualitative thematic analysis respectively. Our framework shows that a KAP linear relationship only existed for households with a low knowledge score, suggesting that an awareness campaign would only be effective for ~37% of the households. Context specific socio-economic factors explain why this relationship does not hold for households with high knowledge scores. These findings are essential for developing targeted cost-effective and sustainable interventions on pesticide usage and other PHIs with context specific modifications.
机译:知识态度和实践(KAP)研究指导公共卫生干预措施(PHIs)的实施,它们是进行政治说服的重要工具。 PHI的设计和实现假定线性的KAP关系,即意识运动会导致理想的社会行为改变。但是,没有用于测试PHI前后的这种关系的可靠框架。在这里,我们使用关于农药使用的定性和定量数据来检验这种线性关系,确定相关的具体背景因素,并建立可用于指导和评估PHI的框架。我们使用了关于农药的横断面混合方法研究的数据用法。使用结构化调查表从代表1002个人的167户家庭中收集了定量数据。从关键信息提供者和焦点小组讨论中收集定性数据。在R 3.2.0中分别进行了定性和定量的数据分析,以及定性的主题分析。我们的框架表明,KAP线性关系仅适用于知识得分较低的家庭,这表明开展宣传活动仅对约37%的家庭有效。特定于上下文的社会经济因素解释了为什么这种关系不适用于知识得分高的家庭。这些发现对于针对农药使用和其他PHI进行针对性的,具有成本效益的,可持续的干预措施,并根据具体情况进行修改至关重要。

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