Details

Autor(en) / Beteiligte

• Walle, Agmasie Damtew
• Demsash, Addisalem Workie
• Adem, Jibril Bashir
• Wubante, Sisay Maru
• Shibabaw, Adamu Ambachew
• Mamo, Daniel Niguse
• Kebede, Shimels Derso
• Muluneh, Ayana Alebachew
• Mengiste, Muluken Belachew
• Gebeyew, Ayenew Sisay
• Butta, Fikadu Wake
• Chereka, Alex Ayenew
• Dubale, Abiy Tasew
• Kassie, Sisay Yitayih
• Ferede, Tigist Andargie
• Al-Sharafi, Mohammed A.

Titel

Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review

Ist Teil von

• PloS one, 2023-08, Vol.18 (8), p.e0287991-e0287991

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• eHealth is the use of information and communications technologies in support of health and health-related fields, including healthcare services, health surveillance, health literature, and health education knowledge and research, has the potential to improve the delivery and support of healthcare services by promoting information sharing and evidence-based health practice. Acceptance of e-health in Ethiopia using systematic review is uncertain. As a result, this study aimed to assess barriers and facilitators of the sustainable acceptance of e-health system adoption in Ethiopia through a systematic review of the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist was used to conduct this study. Relevant articles have been searched in Google Scholar, Medline, PubMed, Embrace, Web of Science, Scopus, Cochrane Library, and empirical research done in Ethiopia is the main emphasis of the search strategy. The total number of studies that satisfied the criteria for inclusion was ten. In this research, empirical data related to e-health acceptance factors were retrieved, examined, and summarized by the authors. This systematic review identified a total of 25 predictors that have been found in the ten studies. The identified facilitators were effort expectancy, performance expectancy, facilitating conditions, social influences, attitude, computer literacy, participant age, perceived enjoyment, and educational status, duration of mobile device use, organizational culture, and habit. Moreover, technology anxiety was the most barrier to sustainable acceptance of e-health systems in Ethiopia. The most common facilitator identified from the predictors was effort expectancy, which played a major role in the adoption of the e-health system in Ethiopia. Therefore, eHealth implementers and managers in those settings should give users of the system priority in improving the technical infrastructure by regularly providing them with basic facilitating conditions. They should also pay attention to the system they want to implement because doing so will improve the users' perception of the system's value and attitude.