INFLUENCE OF DIGITAL LITERACY ON PERFORMANCE OF HEALTH PROJECTS IN KITALE LEVEL 4 DISTRICT HOSPITAL, TRANS NZOIA COUNTY, KENYA
Abstract
The widespread adoption of Information and Communication Technologies (ICT) has had a profound impact on the way institutions operate. Healthcare institutions have implemented ICT services to enhance service delivery, improve accessibility to healthcare services for patients, and facilitate appropriate service delivery by stakeholders. This study aimed to analyse the influence of digital literacy on the performance of health projects at the Kitale level 4 District hospital in Trans-Nzoia County. The target population included doctors, nurses, pharmacists, health record workers and lab technicians, with a sample size of 96 respondents, which was 30% of the target population as selected using Mugenda (2008) formula. The research used a quantitative methodology, with primary data collected using structured online questionnaires and secondary data obtained from hospital records. Both descriptive and inferential statistics were used for data analysis, and data processing was conducted using version 28 of SPSS. Data was presented mainly in table format, although other statistical tools such as graphs may be used as necessary. The findings from analysis were that telemedicine (p<0.05) as well as ICT policy (p<0.05) are all found to have significant effect on performance of health care projects. The study concluded that digital literacy is a significant predictor of the performance of health projects. It was recommended that the senior management team at Kitale Level 4, District Hospital should invest more resources in telemedicine by having in place stronger network facilities to facilitate the follow of information. The management of Kitale Level 4, District Hospital to regularly review the existing ICT policy in line of the changes in the environment and surrounding. This will enhance health care service delivery and enable the hospital attain its established objectives and objectives.
Keywords: Digital Literacy, Telemedicine, ICT Policy Performance, Health Projects
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Adetunji, C. O., Olaniyan, O. T., Adeyomoye, O., Dare, A., Adeniyi, M. J., Alex, E., ... & Shariati, M. A. (2022). eHealth, mHealth, and telemedicine for COVID-19 pandemic. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis, 157-168
Alam, A., & Saputro, I. A. (2022). A Qualitative Analysis of User Interface Design on A Sharia Fintech application Based on Technology Acceptance Model (TAM). Jurnal TAM (Technology Acceptance Model), 13(1), 9
Al-Thani, D. (2022). ICT accessibility Research Capacity building in the State of Qatar. Nafath, 7(21). https://doi.org/10.54455/MCN.21.01
Bein, M. A., Unlucan, D., Olowu, G., & Kalifa, W. (2017). Healthcare spending and health outcomes: evidence from selected East African countries. African health sciences, 17(1), 247-254
Bervell, B., & Al-Samarraie, H. (2019). A comparative review of mobile health and electronic health utilization in sub-Saharan African countries. Social Science & Medicine, 232, 1-16.
Chaudhary, N. (2018). A Critical Review of Conceptual Framework of Service Quality. Journal of Advances and Scholarly Researches in Allied Education, 15(3), 190–195. https://doi.org/10.29070/15/57374
Chen, X., Lu, C., Zhou, W., Hoang, H., Sripipatana, A., & Poura, N. (2020). Assessing clinical quality performance and staffing capacity differences between urban and rural Health Resources and Services Administration-funded health centers in the United States: A cross sectional study | PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242844
Chirchir, L. K., Aruasa, W. K., & Chebon, S. K. (2021). Technical factors influencing electronic health records adoption by nurses at Moi Teaching and Referral Hospital, Kenya. African Journal of Science, Technology, Innovation and Development, 13(5), 551-558.
Gajarawala, S. N., & Pelkowski, J. N. (2021). Telehealth Benefits and Barriers. The Journal for Nurse Practitioners, 17(2), 218–221. https://doi.org/10.1016/j.nurpra.2020.09.013
Hagel, C., Paton, C., Mbevi, G., & English, M. (2020). Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya. BMJ Global Health, 5(3), e002108.
Haq, M. A., & Ghouri, A. M. (2018). Mobile Advertising Technology Acceptance Model (M-TAM): An Extension of TAM in Mobile Marketing Context. South Asian Journal of Management Sciences, 12(2), 188-209.
Hinloopen, H. (2019). No click with e-health. Healthcare Vision ICT, 20 (3), 26-28. https://doi.org/10.1007/s41186-019-0028-8
Höhne, J. K. (2019). Eye-tracking methodology: Exploring the processing of question formats in web surveys. International Journal of Social Research Methodology, 22(2), 199–206.
Ibeneme, S., Karamagi, H., Muneene, D., Goswami, K., Chisaka, N., & Okeibunor, J. (2022). Strengthening health systems using innovative digital health technologies in Africa. Frontiers in Digital Health, 4, 854339
Kanjo, C., Hara, J., & Kaasbøll, J. (2019). Digital empowerment for health workers and implications on EMRs utilisation. Journal of Health Informatics in Africa, 6(2), 74-83.
Khan, Z. H., Siddique, A., & Lee, C. W. (2020). Robotics utilization for healthcare digitization in global COVID-19 management. International journal of environmental research and public health, 17(11), 3819
Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta?analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 33(2), 138-152.
Kitsuwan, N., & Akaki, K. (2023). Performance of elastic optical network with limited slicers. ICT Express, 9(3), 362-365.
Kouton, J., Bétila, R. R., & Lawin, M. (2021). The impact of ICT development on health outcomes in Africa: Does economic freedom matter?. Journal of the Knowledge Economy, 12, 1830-1869.
Moturi, A. K., Suiyanka, L., Mumo, E., Snow, R. W., Okiro, E. A., & Macharia, P. M. (2022). Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis. Frontiers in Public Health, 10, 4245
Okonkwo, O. C. (2021). ICT knowledge and utilization as determinants of job performance of Health Information Managers in health institutions in South-East Nigeria. International Journal of Library and Information Science, 13(2), 21-33. https://doi.org/10.5897/IJLIS2021.0984
Othman, A., Al Mutawaa, A., Al Tamimi, A., & Al Mansouri, M. (2023). Assessing the Readiness of Government and Semi-Government Institutions in Qatar for Inclusive and Sustainable ICT Accessibility: Introducing the MARSAD Tool. Sustainability, 15(4), 3853.
Pan, M., & Gao, W. (2021). Determinants of the behavioral intention to use a mobile nursing application by nurses in China. BMC Health Services Research, 21(1), 228. https://doi.org/10.1186/s12913-021-06244-3
Rono, H., Bastawrous, A., Macleod, D., Mamboleo, R., Bunywera, C., Wanjala, E., Gichuhi, S., & Burton, M. J. (2021). Effectiveness of an mHealth system on access to eye health services in Kenya: A cluster-randomised controlled trial. The Lancet Digital Health, 3(7), e414–e424. https://doi.org/10.1016/S2589-7500(21)00083-2
Stephenson, J. (2020). FDA Warns That Some GE Healthcare Telemetry Servers, Health Information Stations Are Vulnerable to Cyberattack. In JAMA Health Forum (Vol. 1, No. 2, pp. e200161-e200161). American Medical Association
UNICEF. (2018). Digital Divide and Digital Literacy. UNICEF Global Development Commons. https://gdc.unicef.org/resource/digital-divide-and-digital-literacy
Universal Service Fund (USF) – Kenya News Agency. (2021, June 4). https://www.kenyanews.go.ke/tag/universal-service-fund-usf/
W.H.O. (2022). Non communicable diseases. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
Wienert, J., & Zeeb, H. (2021). Implementing health apps for digital public health–an implementation science approach adopting the consolidated framework for implementation research. Frontiers in Public Health, 9, 610237
World Internet Users Statistics and 2023 World Population Stats. (2021). https://www.internetworldstats.com/stats.htm
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