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Evidence-based information practice framework for maize postharvest handling by rural smallholder farmers in selected districts in Uganda

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dc.contributor.advisor Ngulube, Patrick
dc.contributor.author Mayende, Jackline Estomihi Kiwelu
dc.date.accessioned 2026-04-22T08:54:46Z
dc.date.available 2026-04-22T08:54:46Z
dc.date.issued 2025-01-21
dc.identifier.uri https://ir.unisa.ac.za/handle/10500/32391
dc.description.abstract This study examined the influence of evidence-based information practice (EBIP) on the access to and use of evidence-based or scientific research information for improved maize postharvest handling practices by rural smallholder farmers in selected districts in Uganda. This study used a convergent parallel mixed methods approach, with data collected from 320 rural smallholder maize farmers, 22 extension workers, and four information officers. The researcher employed thematic data analysis for the qualitative data using ATLAS.ti version 24. The quantitative data were analysed using descriptive statistics (frequencies and percentages) with Pearson’s chi-square tests used for relational inferences. SPSS version 29 was used for these analyses. The findings revealed that EBIP largely influenced smallholder farmers’ access to and use of evidence-based information, although this was not fully articulated and implemented. Rural smallholder farmers had intermittent access to and use of evidence-based information. The main barriers to the implementation of EBIP included inadequate funding, unawareness of sources of evidence-based information, limited knowledge and skills in information and communication technologies and lack of scientifically researched information that was translated and repackaged into simple formats for easy access and use by farmers. This study identified a significant relationship between access to evidence-based information and the quantity of maize preserved after harvest. The findings also highlighted the need for convenient and adequate sources of evidence-based information for maize postharvest handling, updated knowledge and skills for extension workers and information officers, and a harmonised approach to maize postharvest handling EBIP implementation. This study proposed a model based on these findings to address the difficulties affecting the implementation of EBIP for effective maize postharvest handling decisions and practices among rural smallholder farmers in Uganda. This model can be adopted by stakeholders such as the Ministry of Agriculture, Animal Industry and Fisheries and the Department of Extension Services. Overall, the findings emphasised the importance of EBIP in improving maize postharvest handling practices and reducing postharvest loss among rural smallholder farmers in Uganda. Furthermore, this study highlighted how EBIP can empower librarians in Uganda to collaborate with other stakeholders in translating evidence-based information stored in scientific databases to meet specific community information needs. en_US
dc.format.extent 1 online resource (xviii, 324 leaves) : illustrations (some color), color graphs, color map en
dc.language.iso en en_US
dc.subject Practice theory en_US
dc.subject Access and use of information en
dc.subject EBIP en
dc.subject Evidence-based library and information practice en
dc.subject Ranganathan laws of librarianship en
dc.subject Community libraries en
dc.subject Scientific researched agricultural information en
dc.subject Evidence-based practice en
dc.subject Knowledge translation and repackaging en
dc.subject.lcsh Evidence-based library science -- Uganda en
dc.subject.lcsh Corn -- Information services -- Uganda en
dc.subject.lcsh Corn -- Handling -- Uganda en
dc.subject.lcsh Libraries and agricultural laborers -- Uganda en
dc.subject.lcsh Public libraries – Uganda en
dc.subject.other UCTD
dc.title Evidence-based information practice framework for maize postharvest handling by rural smallholder farmers in selected districts in Uganda en_US
dc.type Thesis en_US
dc.description.department Interdisciplinary Research en
dc.description.degree D. Lit. et Phil. (Information Science)


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