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Evaluation of Telemedicine Systems User Satisfaction in Developing Countries: The Case of Mali and Senegal

Evaluation of Telemedicine Systems User Satisfaction in Developing Countries: The Case of Mali and Senegal

Thierry Edoh, Pravin Amrut Pawar, Ahmed Dooguy Kora
Copyright: © 2018 |Volume: 9 |Issue: 3 |Pages: 17
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781522545149|DOI: 10.4018/IJEHMC.2018070104
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MLA

Edoh, Thierry, et al. "Evaluation of Telemedicine Systems User Satisfaction in Developing Countries: The Case of Mali and Senegal." IJEHMC vol.9, no.3 2018: pp.62-78. http://doi.org/10.4018/IJEHMC.2018070104

APA

Edoh, T., Pawar, P. A., & Kora, A. D. (2018). Evaluation of Telemedicine Systems User Satisfaction in Developing Countries: The Case of Mali and Senegal. International Journal of E-Health and Medical Communications (IJEHMC), 9(3), 62-78. http://doi.org/10.4018/IJEHMC.2018070104

Chicago

Edoh, Thierry, Pravin Amrut Pawar, and Ahmed Dooguy Kora. "Evaluation of Telemedicine Systems User Satisfaction in Developing Countries: The Case of Mali and Senegal," International Journal of E-Health and Medical Communications (IJEHMC) 9, no.3: 62-78. http://doi.org/10.4018/IJEHMC.2018070104

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Abstract

This article describes how in developing countries, the work on regulatory aspects of telemedicine systems and applications is still in infancy. During our literature review and on-site research in Sub-Saharan Africa, we could not point out any work on measuring the quality of service (QoS) and quality of experience (QoE or QoX) provided by the telemedicine systems, thus making it impossible to measure the overall level of system user satisfaction in Sub-Saharan Africa. Therefore, we conducted a qualitative and quantitative study to measure network QoS performance and end-user QoE perception of telemedicine systems using publicly accessible conversation tool Skype in Mali and Senegal. The results show that about 75% of the users were satisfied with the quality of teleconsultation service provided and 60% of the users have good impression on the network performance. Based on obtained results, we propose KPIs such as global QoS for measuring QoS and propose a mathematical formula to predict the corresponding QoE, since there exists a relationship between QoS and QoE.

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