Evidence map›Paper›PMID 36186679›Full record

ArticleFrontiers in digital health2022

Health professionals knowledge of telemedicine and its associated factors working at private hospitals in resource-limited settings.

Sisay Maru Wubante, Masresha Derese Tegegne

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. 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

2 authors.

Sisay Maru WubanteDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Masresha Derese TegegneDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The appropriate implementation of telemedicine in the healthcare system has the potential to overcome global problems such as accessibility and quality healthcare services. Thus assessing the knowledge of health professionals before the actual adoption of telemedicine is considered a prominent solution to the problems. Objective: This study aimed to assess healthcare professionals' knowledge of telemedicine and its associated factors at private hospitals in low-resource settings. Method: An institution-based cross-sectional study was conducted among 423 health professionals at private hospitals in low-income settings in Ethiopia, from March to April 2021. Data collection was performed by pretested and self-administered questionnaires. This study employed statistical packages for social sciences software. This study employed multivariable logistic regression to determine dependent and independent variables associated with adjusted odd ratio and 95% CI. Result: in this study about 65.8% of health professionals have good knowledge on Telemedicine .Computer literacy (AOR = 2.9; 95% CI: 1.8, 4.6), computer training (AOR = 2.0; 95% CI: 1.2, 3.3), Internet availability at workplace (AOR = 2.1; 95%CI: 1.3, 3.4), had private laptop (AOR = 1.7; 95% CI: 1.1, 2.9) were significantly associated with knowledge. Conclusion and recommendation: In general health professionals had good knowledge of Telemedicine. Inclusive packages of capacity by training among health providers are fundamental for the successful implementation of telemedicine.

Indexed as

Ethiopiafactorshealth professionalsknowledgetelemedicine

Identifiers

PMID36186679
PMCPMC9523600

What OpenQuestion holds

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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.