Kenya: Citizen Generated Data on antimicrobial resistance (AMR)

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From August 2020 to July 2021, with funding from the Wellcome Trust, the Global Partnership for Sustainable Development Data collaborated...
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Source Global Partnership for Sustainable Development Data
Date of Dataset March 05, 2021-June 02, 2021
Updated 5 October 2022
Expected Update Frequency As needed
Field Names age, gender, geography, health, awareness
File Types excel, CSV
Number of Rows 8745

The research team organized virtual meetings for radio presenters from all three target locations to orient them on the approach and discuss the communication framework. Each week, detailed scripts were provided, and a dedicated expert was available to guide the presenters and radio guests during the live shows. As the radio shows were hosted in local languages, a team of researchers fluent in the languages of Bukusu, Kiswahili, and Kikuyu were recruited to interpret the SMS messages and monitor the live radio shows. Citizens reached during the programming shared their views via free SMS in the language with which they were most comfortable. Once a listener sent an SMS in response to the radio show, a consent SMS flow was automatically triggered. This informed the participant that SMS are analyzed to help understand people’s views on AMR and that the findings are used to inform policy in Kenya. Once data was received, the messages were grouped according to different themes following a qualitative thematic analysis approach. This grouping concluded in a “coding frame,” and each SMS was then labelled with the relevant code/theme. The study obtained ethical approval from the Amref Health Africa Ethics and Scientific Research Committee and the National Commission for Science, Technology and Innovation. The team also developed a data ethics canvas as a tool for ethical frameworks and guidance around the project. All participants were given an opportunity to provide informed consent for their data to be analyzed in this study with assured confidentiality. Two AMR specialists, one from the Government and the other from the research community in Kenya, were part of the project team to provide expert guidance. Additionally, an advisory committee composed of experts from CGD and AMR sectors in Kenya and internationally was constituted during key milestones in the project to provide quality assurance. To ensure quality of the data collection process, the activities were designed to follow guidelines in producing CGD

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