Evidence map›Paper›PMID 39752509›Full record

ArticlePloS one2025

Magnitude of telemedicine utilization and associated factors among health professionals working at selected public hospitals in Southern Ethiopia.

Anteneh Fikrie, Dawit Daniel, Samrawit Ermiyas, Hawa Hassen, Wongelawit Seyoum, Seyoum Kebede, Wako Golicha Wako

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Anteneh FikrieSchool of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.ORCID 0000-0002-9809-3326
Dawit DanielCentral Ethiopia Regional Health Bureau, Medical Service Directorate, Ethiopia.
Samrawit ErmiyasMinistry of Defense, Hawassa Commando and Air Force Tertiary Hospital Hawassa, Ethiopia.
Hawa HassenPharma College Hawassa Campus, Hawassa, South Ethiopia.
Wongelawit SeyoumPharma College Hawassa Campus, Hawassa, South Ethiopia.
Seyoum KebedePharma College Hawassa Campus, Hawassa, South Ethiopia.
Wako Golicha WakoSchool of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the immense potential of telemedicine, its implementation in Ethiopia and other developing nations has faced formidable challenges, leading to disappointingly low utilization rates. Therefore, this study sought to assess the magnitude and factors associated with telemedicine service practice among healthcare professionals in the pilot public hospitals of Sidama and Southern Nations Nationalities Peoples Regions.

methodsCross-sectional study was conducted from June 1-30, 2021 among randomly selected 407 health professionals working at Pilot Hospitals in Southern Ethiopia. A pretested and structured self-administered questionnaire was used to collect the socio-demographic, knowledge and attitude of Health Professionals towards telemedicine and health system-related data. Data were coded and entered using Epi-data version 4.6. and exported to SPSS version 20 for analysis. Bi-variable and multivariable binary logistic regression was done to identify factors associated with telemedicine utilization. A P-value<0.05 and Adjusted odds ratio (AOR) together with 95% Confidence Interval (CI) was used to declare statistical significance. The data were presented by tables, text and figures and charts.

resultsThe study found that 34.6% (95% CI: 30-39.6%), 54.1% (95% CI: 49.6-59.2%), and 26% (95% CI: 21.6-30.2%) of the respondents have good knowledge, a positive attitude, and practiced telemedicine service, respectively. Age ≥ 36 years (AOR = 2.99, 95% CI: 1.18-7.60), being a medical doctor (AOR = 3.91, 95% CI 1.15-13.25), having good knowledge (AOR = 2.75, 95% CI 1.54-4.89), presence of an information sharing culture (AOR = 3.95, 95% CI 1.16-13.45), presence of a practicing platform (AOR = 3.01, 95% CI 1.06-8.53), and presence of government commitment (AOR = 2.52, 95% CI 1.09-5.82) were found to be significantly associated with telemedicine service utilization.

conclusionDespite positive attitudes, the adoption of telemedicine among healthcare professionals in the study area remains limited. Factors such as age, profession, knowledge, and cultural factors influence its uptake. To promote wider adoption and address challenges, governments should: implement comprehensive guidelines, training programs, and platforms for healthcare professionals to effectively utilize telemedicine technologies can accelerate healthcare delivery in the study area.

Indexed as

Health PersonnelHospitals, PublicTelemedicineAdultAttitude of Health PersonnelCross-Sectional StudiesEthiopiaFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID39752509
PMCPMC11698327

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.