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Towards new e-Infrastructure and e-Services for Developing Countries. 14th EAI International Conference, AFRICOMM 2022, Zanzibar, Tanzania, December 5-7, 2022, Proceedings

Research Article

Barriers and Facilitators of eHealth Adoption Among Patients in Uganda – A Quantitative Study

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  • @INPROCEEDINGS{10.1007/978-3-031-34896-9_15,
        author={Hasifah Kasujja Namatovu and Mark Abraham Magumba},
        title={Barriers and Facilitators of eHealth Adoption Among Patients in Uganda -- A Quantitative Study},
        proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 14th EAI International Conference, AFRICOMM 2022, Zanzibar, Tanzania, December 5-7, 2022, Proceedings},
        proceedings_a={AFRICOMM},
        year={2023},
        month={6},
        keywords={Barriers Facilitators eHealth Adoption Patients},
        doi={10.1007/978-3-031-34896-9_15}
    }
    
  • Hasifah Kasujja Namatovu
    Mark Abraham Magumba
    Year: 2023
    Barriers and Facilitators of eHealth Adoption Among Patients in Uganda – A Quantitative Study
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-031-34896-9_15
Hasifah Kasujja Namatovu,*, Mark Abraham Magumba
    *Contact email: hasifah.namatovu@mak.ac.ug

    Abstract

    The adoption of eHealth has not made great strides in Uganda especially among patients despite its potential in improving patient outcomes through access to care, patient engagement and its ability to reduce unnecessary hospital visits. Previous studies have focused on barriers and facilitators of eHealth in general. None has examined the adoption of eHealth among patients in Uganda, which was the focus of this study. A cross-sectional survey was conducted in four districts across the country. Two hundred ninety two patients of 18 years and above participated in the study and their selection was through simple random sampling. The bivariate analysis results revealed that education level (χ2= 14.9,ρ <0.05), gender (χ2= 4.95,ρ <0.05) and location (χ2= 85.9,ρ <0.05) have a statistical significant relationship with eHealth adoption. The logistic regression model further revealed that male patients (OR = 2.662), those with master’s degree and above (OR = 2.2797) and those residing in Kampala (OR = .012) were more likely to use eHealth systems than their counterparts. The success of eHealth requires players in the health sector to ardently focus on the socio-demographic factors of the users, technological and hospital conditions if eHealth adoption is to ensue.

    Keywords
    Barriers Facilitators eHealth Adoption Patients
    Published
    2023-06-30
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-34896-9_15
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