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dc.contributor.authorAhimbisibwe, Shallon
dc.date.accessioned2022-01-14T13:46:00Z
dc.date.available2022-01-14T13:46:00Z
dc.date.issued2021-10
dc.identifier.citationAhimbisibwe, S. (2021). A model for adoption of mobile health technologies to improve child nutrition practices in resource-constrained environments (Unpublished masters dissertation). Makerere University, Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/10570/9269
dc.descriptionA thesis submitted to the College of Computing and Information Sciences in partial fulfilment of the requirement for the award of the Degree of Masters in Information Technology of Makerere University.en_US
dc.description.abstractMalnutrition contributes to about half (45%) of the deaths of children under the age of five years in developing countries. Studies reveal that malnutrition is aggravated by a lack of nutritional information, particularly in rural areas. This research aimed to create a model for the adoption of mobile health technologies to improve child nutrition practices in resource-constrained environments. The study was set to determine the factors for the successful adoption of mobile health technologies, propose the model that best supports the adoption of mobile health technologies, and evaluate the model. A descriptive survey was conducted to gather the factors for a model using interviews and questionnaires. Thematic data analysis and Partial Least Squares, a structural equation modeling technique was used to analyze the data. The results obtained from the field study were used to extend the unified theory of acceptance and use of technology model to come up with the model that adequately explains the use of mobile health technologies to enhance child nutrition practices in resource-constrained environments. The derived model was evaluated by using the questionnaires which were provided to the health experts. The results showed that all the independent variables of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, management support, cultural influence, awareness, and training were positively related to the behaviour intention to use mHealth technology. The findings in the study also indicated that awareness and training is the most significant factor for the successful adoption of mHealth technology to enhance child nutrition practices, followed by hedonic motivation, price value, performance expectancy, social, and cultural influence. The model combines the tested strength of the unified theory of acceptance and use of technology with the variables suitable for the adoption of mobile health technologies to enhance child nutrition practices in resource-constrained environments. Therefore, the model is generic and can be adopted by other developing countries with similar contexts as Uganda.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectChild nutrition practicesen_US
dc.subjectMobile health technologiesen_US
dc.subjectResource-constrained environmentsen_US
dc.subjectUgandaen_US
dc.titleA model for adoption of mobile health technologies to improve child nutrition practices in resource-constrained environmentsen_US
dc.typeThesisen_US


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