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ICT Uptake as a Determinant of Antenatal Care Utilization in Uganda: A Mixed Methods Study in Jinja and Kampala

ICT Uptake as a Determinant of Antenatal Care Utilization in Uganda: A Mixed Methods Study in Jinja and Kampala

Hasifah Kasujja Namatovu, Tonny J. Oyana
Copyright: © 2021 |Volume: 10 |Issue: 1 |Pages: 22
ISSN: 2472-3126|EISSN: 2472-3134|EISBN13: 9781799863182|DOI: 10.4018/IJICTRAME.2021010102
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MLA

Namatovu, Hasifah Kasujja, and Tonny J. Oyana. "ICT Uptake as a Determinant of Antenatal Care Utilization in Uganda: A Mixed Methods Study in Jinja and Kampala." IJICTRAME vol.10, no.1 2021: pp.11-32. http://doi.org/10.4018/IJICTRAME.2021010102

APA

Namatovu, H. K. & Oyana, T. J. (2021). ICT Uptake as a Determinant of Antenatal Care Utilization in Uganda: A Mixed Methods Study in Jinja and Kampala. International Journal of ICT Research in Africa and the Middle East (IJICTRAME), 10(1), 11-32. http://doi.org/10.4018/IJICTRAME.2021010102

Chicago

Namatovu, Hasifah Kasujja, and Tonny J. Oyana. "ICT Uptake as a Determinant of Antenatal Care Utilization in Uganda: A Mixed Methods Study in Jinja and Kampala," International Journal of ICT Research in Africa and the Middle East (IJICTRAME) 10, no.1: 11-32. http://doi.org/10.4018/IJICTRAME.2021010102

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Abstract

Few studies have investigated information and communication technologies (ICTs) as determinants of ANC utilization, yet ICTs in health can improve patient outcome, tackle health systems challenges, and improve client-to-provider relationship. A cross-sectional design using both quantitative and qualitative data collection approaches was used to ascertain whether ICT uptake can determine ANC utilization. Women aged 18-50 years who were pregnant had given birth two years preceding the survey and who had at least a primary school education participated in this study. Data was analyzed using Pearson's Chi-square and descriptive discriminant analysis. Results from this study suggest an association between ICT uptake and ANC utilization (χ2 = 19.3, ρ <0.001) and a statistically significant relationship between the discriminant function and the grouping variable at p=.012 (Wilks's ᴧ = .822; χ2 = 28.62 (14df), p<0.05, valid n = 164). Control measures and interventions should be geared towards integrating ICTs in women's routine antenatal care practices.

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