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Knowledge of telemedicine and its associated factors among health professional in Ethiopia: A systematic review and meta-analysis.
Shibabaw, Adamu Ambachew; Chereka, Alex Ayenew; Walle, Agmasie Damtew; Demsash, Addisalem Workie; Dube, Geleta Nenko; Dubale, Abiy Tasew; Kassie, Sisay Yitayh; Kitil, Gemeda Wakgari; Jember, Mesafint Zewold; Gebeyehu, Chernet Desalegn; Ariger, Aster Temesgen; Dires, Eshetie Andargie.
Afiliação
  • Shibabaw AA; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Chereka AA; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Walle AD; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Demsash AW; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Dube GN; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Dubale AT; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Kassie SY; Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Kitil GW; Department of Midwifery, College of Health Science, Mattu University, Mettu, Ethiopia.
  • Jember MZ; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.
  • Gebeyehu CD; Department of Biomedical Sciences, College of Health Sciences, Mattu University, Mettu, Ethiopia.
  • Ariger AT; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.
  • Dires EA; Department of Health Informatics, Institute of Health, Bule Hora, Bule Hora, Ethiopia.
PLoS One ; 19(4): e0301044, 2024.
Article em En | MEDLINE | ID: mdl-38635662
ABSTRACT

INTRODUCTION:

Telemedicine is a useful tool for decreasing hospital stress, patient suffering, ambulance needs, hospital anxiety, and costs while improving the standard of care. Nonetheless, the lack of awareness regarding telemedicine poses a barrier to its application, presenting several difficulties in underdeveloped nations like Ethiopia. This review evaluates Ethiopian-specific telemedicine knowledge and associated factors.

METHODS:

This systematic review was conducted using a search of several online databases in addition to the main databases, like Medline, PubMed, Scopus, and Science Direct. The writers have looked for, reviewed, and summarized information about telemedicine knowledge in the healthcare system. This study contained seven studies that examined telemedicine knowledge in the Ethiopian healthcare sector. Studies that followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) were found using search engines. The investigation was carried out using STATA version 11. The indicator of heterogeneity (I2) was used to assess the level of heterogeneity among the included studies. The funnel plot was visually inspected, and Egger's regression test was run to check for publication bias. The pooled effect size of every study is estimated using a random-effect model meta-analysis.

RESULTS:

Examination of 2160 studies, seven studies involving 2775 health professionals, and seven out of the 2160 publications assessed satisfied the inclusion criteria and were added to the systematic review and meta-analysis. The pooled prevalence of Telemedicine knowledge was 45.20 (95% CI 34.87-55.53). Whereas the pooled factor was computer training was 2.24 times (AOR = 2.24 (95%; CI 1.64-3.08)), computer access was 2.07 times (AOR = 2.07 (95% CI 1.50-2.87)), internet access was 3.09 times (AOR = 3.09 (95% CI 1.34-7.13)), social media access were 3.09 times (AOR = 3.09(95%; CI 1.34-7.13)), educational status degree and above were 2.73 times (AOR = 2.73; 95% CI 0.85-8.82), Awareness were 3.18 times (AOR = 3.18 (95%; CI 1.02-9.91)), Management support was 1.85 (AOR = 1.85 (95% CI 01.25-2.75)), computer literacy were 2.90 times (AOR = 2.90 (95% CI 1.81-4.64)), computer owner were 1.70 times (AOR = 1.70 (95% CI 1.05-2.76)), male gender were 1.95 times (AOR = 1.95 (95% CI 1.32-2.87)).

CONCLUSION:

The overall pooled prevalence of telemedicine knowledge was low. Gender, education, management support, computer access, social media access, internet access, telemedicine awareness, and telemedicine training associated with telemedicine knowledge.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Pessoal de Saúde / Telemedicina Limite: Humans País/Região como assunto: Africa Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Etiópia País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Pessoal de Saúde / Telemedicina Limite: Humans País/Região como assunto: Africa Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Etiópia País de publicação: Estados Unidos