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Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting

BACKGROUND: Healthcare providers across all clinical practice settings are progressively relying and adapting information communication technologies to perform their professional activities. In this era of technology, healthcare providers especially in lower income countries should have at least bas...

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Autores principales: Shiferaw, Kirubel Biruk, Tilahun, Binyam Chakilu, Endehabtu, Berhanu Fikadie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652588/
https://www.ncbi.nlm.nih.gov/pubmed/33168002
http://dx.doi.org/10.1186/s12913-020-05848-5
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author Shiferaw, Kirubel Biruk
Tilahun, Binyam Chakilu
Endehabtu, Berhanu Fikadie
author_facet Shiferaw, Kirubel Biruk
Tilahun, Binyam Chakilu
Endehabtu, Berhanu Fikadie
author_sort Shiferaw, Kirubel Biruk
collection PubMed
description BACKGROUND: Healthcare providers across all clinical practice settings are progressively relying and adapting information communication technologies to perform their professional activities. In this era of technology, healthcare providers especially in lower income countries should have at least basic digital competency if a successful application of technology is to be achieved. The aim of this study was to assess digital competency of healthcare providers among seven public health centers in North-West Ethiopia. METHODS: A cross-sectional study design was applied to assess the basic digital competency of healthcare providers working in seven public health centers in North-west Amhara regional state, Ethiopia. Self-administered questionnaire adopted from the European commission’s digital competency framework for assessing digital competency were used. A multivariable logistic regression was performed to identify factors associated with basic digital competency with p-value< 0.05 as a rule out for statistical significance. The strength of association was explained in terms of coefficient estimate, adjusted odds ratio and a 95% confidence interval (CI). RESULT: From the total of 193 healthcare providers included in the study, 167 of them responded which is a response rate of 86.5%. The majority of respondents 88 (52.7%) were males and the mean age was 28.2 years with a standard deviation of 5.5 years. The result indicated that all items demonstrated an adequate level of internal consistency with Cronbach alpha > 0 .7. Healthcare providers in those public health centers reported that problem solving, safety and communication are the most common challenges encountered. The multivariable logistic regression model indicated that factors such as sex, educational status, profession type, monthly income and years of experience are statistically significant predictors. CONCLUSION: Basic digital competency level of healthcare providers working in public health centers in this setting is relatively low. The results highlight the need to improve digital competency among healthcare providers focusing on the identified skill gaps.
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spelling pubmed-76525882020-11-10 Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting Shiferaw, Kirubel Biruk Tilahun, Binyam Chakilu Endehabtu, Berhanu Fikadie BMC Health Serv Res Research Article BACKGROUND: Healthcare providers across all clinical practice settings are progressively relying and adapting information communication technologies to perform their professional activities. In this era of technology, healthcare providers especially in lower income countries should have at least basic digital competency if a successful application of technology is to be achieved. The aim of this study was to assess digital competency of healthcare providers among seven public health centers in North-West Ethiopia. METHODS: A cross-sectional study design was applied to assess the basic digital competency of healthcare providers working in seven public health centers in North-west Amhara regional state, Ethiopia. Self-administered questionnaire adopted from the European commission’s digital competency framework for assessing digital competency were used. A multivariable logistic regression was performed to identify factors associated with basic digital competency with p-value< 0.05 as a rule out for statistical significance. The strength of association was explained in terms of coefficient estimate, adjusted odds ratio and a 95% confidence interval (CI). RESULT: From the total of 193 healthcare providers included in the study, 167 of them responded which is a response rate of 86.5%. The majority of respondents 88 (52.7%) were males and the mean age was 28.2 years with a standard deviation of 5.5 years. The result indicated that all items demonstrated an adequate level of internal consistency with Cronbach alpha > 0 .7. Healthcare providers in those public health centers reported that problem solving, safety and communication are the most common challenges encountered. The multivariable logistic regression model indicated that factors such as sex, educational status, profession type, monthly income and years of experience are statistically significant predictors. CONCLUSION: Basic digital competency level of healthcare providers working in public health centers in this setting is relatively low. The results highlight the need to improve digital competency among healthcare providers focusing on the identified skill gaps. BioMed Central 2020-11-09 /pmc/articles/PMC7652588/ /pubmed/33168002 http://dx.doi.org/10.1186/s12913-020-05848-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Shiferaw, Kirubel Biruk
Tilahun, Binyam Chakilu
Endehabtu, Berhanu Fikadie
Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title_full Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title_fullStr Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title_full_unstemmed Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title_short Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
title_sort healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652588/
https://www.ncbi.nlm.nih.gov/pubmed/33168002
http://dx.doi.org/10.1186/s12913-020-05848-5
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