Evidence map›Paper›PMID 34778509›Full record

ArticleInformatics in medicine unlocked2021

Willingness to use telemedicine during COVID-19 among health professionals in a low income country.

Mohammedjud Hassen Ahmed, Shekur Mohammed Awol, Shuma Gosha Kanfe, Samuel Hailegebreal, Gebiso Roba Debele, Geleta Nenko Dube, Habtamu Alganeh Guadie, Habtamu Setegn Ngusie, Jorn Klein

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mohammedjud Hassen AhmedDepartment of Health Informatics, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Shekur Mohammed AwolDepartment of Health Informatics, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Shuma Gosha KanfeDepartment of Health Informatics, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Samuel HailegebrealDepartment of Health Informatics, College of Medicine and Health Sciences, Arbaminch University, Arbaminch, Ethiopia.
Gebiso Roba DebeleDepartment of Public Health, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Geleta Nenko DubeDepartment of Health Informatics, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Habtamu Alganeh GuadieSchool of Public Health, College of Health Sciences, Bahir dar University, Bahir dar, Ethiopia.
Habtamu Setegn NgusieDepartment of Health Informatics, College of Health Sciences, Mettu University, Mettu, Ethiopia.
Jorn KleinUniversity of South-Eastern Norway, Porsgrunn, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe coronavirus disease 2019 pandemic has prompted rapid restructuring of the health-care system in an effort to stop the spread of the pandemic. Thus, telemedicine is more preferable in order to prevent the COVID-19 pandemic when face to face meeting is forbidden, allowing provision of health service over a distance. This study aimed to assess willingness to use telemedicine and factors that will determine their extent of willingness during COIVID-19 among healthcare providers working in south west of Ethiopia.

methodsInstitutional based cross-sectional study design was applied to assess willingness to use telemedicine among healthcare providers working at public health hospitals in south west of Ethiopia. Self-administered questionnaires were used. We have used Epi-info for data entry and Analysis of Moment Structure (AMOS) for analysis. A structural equation modeling was performed to identify factors associated with willingness to use telemedicine at 95% confidence interval (CI).

resultIn this study, less than half of respondents had high willingness to use telemedicine. Ease of use (β = 0.79, 95% CI: [0.72, 0.86], p < 0.01), attitude (β = 0.91, 95% CI: [0.87, 0.95], p < 0.01) and patient-physician relationships (β = 0.67, 95% CI: [0.54, 0.70], p < 0.01) were variables associated with willingness to use telemedicine. Anxiety towards technology (β = 0.74, 95% CI: [0.69, 0.79], p < 0.01) and patient-physician relationships (β = 0.87, 95% CI: [0.81, 0.92], p < 0.01) were determinant factors of attitude to use telemedicine.

conclusionsThe overall willingness to use telemedicine during COVID-19 in this setting is 46.5%. Addressing the problem related with ease of use, attitude and patient-physician relationships will help to increase the overall willingness to use telemedicine during COVID-19. An attempt to improving patient-physician relationship, provision of technical training for ease of use and working on healthcare providers' attitude will help to improve the willingness to use telemedicine.

Indexed as

CI, Confidence IntervalsCOVID-19ETB, Ethiopian BirrHealthcare providersHITs, Health Information TechnologiesIT, Information TechnologyTelemedicineTM, TelemedicineUSA, United States of AmericaWillingnessα, Alpha

Identifiers

PMID34778509
PMCPMC8571100

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Registered trials

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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.