The Effect of eHealth on Information Awareness on Non-Communicable Diseases Among Youths Between 18-25 Years in Nairobi County, Kenya, 2019

  • Stephen Ogweno Kenyatta University
  • Eliphas Gitonga, PhD Kenyatta University
Keywords: eHealth, mHealth, MyHeart-Ke App, Non-Communicable Diseases, Cardiovascular Diseases, STEPS Survey, Stowelink, Youth
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Non-Communicable Diseases (NCDs) kill 41 million people each year, equivalent to 71% of all deaths globally while in Kenya 31% of deaths in the country in 2015, were due to NCDs. Majority of the populations dying from non-communicable diseases with over 85% are from developing countries. NCDs are also the leading cause of all hospital admission death-causing 51% of all hospital deaths in Kenya in 2015. The study sought to determine the impact of eHealth (healthcare practice supported by electronic processes) on non-communicable diseases information awareness levels in Nairobi County with the study population being the youths of Kenyatta University. The research used a cohort study design where youths were exposed to MyHeart-Ke App (a mobile app developed for this study giving information on NCDS and cardio-vascular health). They were then followed over six months to assess their knowledge on non-communicable diseases and healthy lifestyle habits. A total of 402 respondents participated in the study. The study used posttest non-experimental cohort study design as there was only one study group. Data was collected using questionnaires. The majority of the study participants were males at 56% while the majority age was 22 years at 17%. The study found out that awareness on NCDs among the respondents was high at 96% with cardiovascular diseases being the most widely known at 85.8%. Although some of the participants knew m-Health at 68.7%, it was not widespread among the respondents before the study. However, after the study, MyHeart-Ke was reported to offer a significant and relevant amount of information on NCDs with 51.2% preferring it over the mainstream internet. A majority also had a perception that NCDs are preventable through the reduction of alcohol use, screening, and healthy diets. The findings are expected to help the relevant authorities in designing appropriate strategies for addressing NCDs in the country especially in the digital space.


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Ahern, D. K., Kreslake, J. M., & Phalen, J. M. (2006). What is eHealth (6): perspectives on the evolution of eHealth research. Journal of medical Internet research, 8(1), e4.

Boulos, M. N. K., Brewer, A. C., Karimkhani, C., Buller, D. B., & Dellavalle, R. P. (2014). Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online journal of public health informatics, 5(3), 229.

Breen, G. M., & Matusitz, J. (2010). An evolutionary examination of telemedicine: a health and computer-mediated communication perspective. Social work in public health, 25(1), 59-71.

Buijink, A. W. G., Visser, B. J., & Marshall, L. (2013). Medical apps for smartphones: lack of evidence undermines quality and safety. BMJ Evidence-Based Medicine, 18(3), 90-92.

Eunice, K. (2017). New partnership to share health advice on phones. Retrieved from

Gorski, I., Bram, J. T., Sutermaster, S., Eckman, M., & Mehta, K. (2016). Value propositions of mHealth projects. Journal of medical engineering & technology, 40(7-8), 400-421.

Khf. (n.d.). Website. Retrieved from

Lee, S., Cho, Y. M., & Kim, S. Y. (2017). Mapping mHealth (mobile health) and mobile penetrations in sub-Saharan Africa for strategic regional collaboration in mHealth scale-up: An application of exploratory spatial data analysis. Globalization and health, 13(1), 63.

Lewis, T. L., & Wyatt, J. C. (2014). mHealth and mobile medical apps: a framework to assess risk and promote safer use. Journal of medical Internet research, 16(9), e210.

Maina, D. W. (2019). Perspectives of Patients with Comorbidity on the Use of eHealth Technology for Self-Management at Kenyatta National Hospital.

Mburu, S., & Oboko, R. (2018). A model for predicting utilization of mHealth interventions in low-resource settings: Case of maternal and newborn care in Kenya. BMC medical informatics and decision making, 18(1), 67.

NCD mortality and morbidity. (2018, August 24). Retrieved from

NCD and Youth. (2016, July 4). Retrieved from

Neumann, M. M. (2014). An examination of touch screen tablets and emergent literacy in Australian pre-school children. Australian Journal of Education, 58(2), 109-122.

Njoroge, M., Zurovac, D., Ogara, E. A., Chuma, J., & Kirigia, D. (2017). Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya. BMC research notes, 10(1), 90.

Reynolds, K. (2017). Evaluating Caller Experience with a Telephone Health Hotline in Malawi (Doctoral dissertation).

Shiroya, V., Neuhann, F., Müller, O., & Deckert, A. (2019). Challenges in policy reforms for non-communicable diseases: the case of diabetes in Kenya. Global Health Action, 12(1), 1611243. doi: 10.1080/16549716.2019.1611243

Silva, B. M., Rodrigues, J. J., de la Torre Díez, I., López-Coronado, M., & Saleem, K. (2015). Mobile-health: A review of current state in 2015. Journal of biomedical informatics, 56, 265-272.

13 April, 2020
How to Cite
Ogweno, S., & Gitonga, E. (2020). The Effect of eHealth on Information Awareness on Non-Communicable Diseases Among Youths Between 18-25 Years in Nairobi County, Kenya, 2019. East African Journal of Health and Science, 2(1), 15-29.