Start Date
11-8-2016
Description
Advances in ICT have created opportunities for the delivery of healthcare in innovative ways, both in developing and industrialized countries (Craig and Patterson, 2005). However, successful implementation and sustainable use of these technologies remains a challenge, especially in low income countries. This study seeks to answer the basic question: What determines telemedicine system adoption and use in the study area? A survey was conducted at Black Lion Hospital, Addis Ababa, Ethiopia. Senior clinical staff members, resident physicians, and final year medical science students were respondents of the study. 230 survey questionnaires were distributed; 209 were returned, and 205 questionnaires were found usable. Smart PLS was used to test the proposed model. The results reveal that from the thirteen hypotheses formulated in UTAUT3 e-health theoretical model, ten have gained empirical support. The study has achieved encouraging results in contextualizing UTAUT to the e-health context.
Recommended Citation
Hailemariam, Getachew and Garfield, Monica, "A Contextualized IT adoption and Use Model for e-health: The Case of Telemedicine at Black Lion Teaching Hospital, Ethiopia" (2016). AMCIS 2016 Proceedings. 8.
https://aisel.aisnet.org/amcis2016/ICTs/Presentations/8
A Contextualized IT adoption and Use Model for e-health: The Case of Telemedicine at Black Lion Teaching Hospital, Ethiopia
Advances in ICT have created opportunities for the delivery of healthcare in innovative ways, both in developing and industrialized countries (Craig and Patterson, 2005). However, successful implementation and sustainable use of these technologies remains a challenge, especially in low income countries. This study seeks to answer the basic question: What determines telemedicine system adoption and use in the study area? A survey was conducted at Black Lion Hospital, Addis Ababa, Ethiopia. Senior clinical staff members, resident physicians, and final year medical science students were respondents of the study. 230 survey questionnaires were distributed; 209 were returned, and 205 questionnaires were found usable. Smart PLS was used to test the proposed model. The results reveal that from the thirteen hypotheses formulated in UTAUT3 e-health theoretical model, ten have gained empirical support. The study has achieved encouraging results in contextualizing UTAUT to the e-health context.