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Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase
BACKGROUND: The adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889777/ https://www.ncbi.nlm.nih.gov/pubmed/35232436 http://dx.doi.org/10.1186/s12913-022-07688-x |
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author | Ngusie, Habtamu Setegn Kassie, Sisay Yitayih Chereka, Alex Ayenew Enyew, Ermias Bekele |
author_facet | Ngusie, Habtamu Setegn Kassie, Sisay Yitayih Chereka, Alex Ayenew Enyew, Ermias Bekele |
author_sort | Ngusie, Habtamu Setegn |
collection | PubMed |
description | BACKGROUND: The adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country settings, like Ethiopia, were lagging and increasingly failed. Assessing the readiness of stakeholders before the actual adoption of EHR is considered the prominent solution to tackle the problem. However, little is known about healthcare providers’ EHR readiness in this study setting. Accordingly, this research was conducted aiming at examining healthcare providers’ readiness for EHR adoption and associated factors in southwestern Ethiopia. METHODS: An institutional-based cross-sectional study was conducted from September 1 to October 30, 2021. A total of 423 healthcare providers working in public hospitals were selected using a simple random sampling technique. Multivariable logistic regression was fitted to identify determinant factors of overall healthcare providers’ readiness after the other covariates were controlled. RESULT: In this study, the overall good readiness level of EHR adoption was 52.8% (n = 204) [95% CI of 47.9% to 56.6%]. Age, computer literacy, computer access at health facilities, attitude towards EHRs, awareness about EHRs, perceived benefit, and perceived technology self-efficacy were significantly associated with the overall health care providers’ readiness for the adoption of EHR using a cut point of P-value less than 0.05. CONCLUSION: Around half of the respondents had a good level of overall healthcare providers’ readiness for the adoption of EHR which was considered inadequate. This finding implied that a huge effort is required to improve readiness before the actual implementation of EHRs. The finding implied that younger-aged groups were more ready for such technology which in turn implied; the older one needs more concern. Enhancing computer literacy, confidence building to raise self-efficacy of such technology, addressing the issue of computer availability at health facilities, building a positive attitude, awareness campaign of EHR, and recognizing the usefulness of such systems were the necessary measures to improve EHR readiness in this setting. Additionally, further studies are recommended to encompass all types of EHR readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed by future works. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07688-x. |
format | Online Article Text |
id | pubmed-8889777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88897772022-03-09 Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase Ngusie, Habtamu Setegn Kassie, Sisay Yitayih Chereka, Alex Ayenew Enyew, Ermias Bekele BMC Health Serv Res Research BACKGROUND: The adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country settings, like Ethiopia, were lagging and increasingly failed. Assessing the readiness of stakeholders before the actual adoption of EHR is considered the prominent solution to tackle the problem. However, little is known about healthcare providers’ EHR readiness in this study setting. Accordingly, this research was conducted aiming at examining healthcare providers’ readiness for EHR adoption and associated factors in southwestern Ethiopia. METHODS: An institutional-based cross-sectional study was conducted from September 1 to October 30, 2021. A total of 423 healthcare providers working in public hospitals were selected using a simple random sampling technique. Multivariable logistic regression was fitted to identify determinant factors of overall healthcare providers’ readiness after the other covariates were controlled. RESULT: In this study, the overall good readiness level of EHR adoption was 52.8% (n = 204) [95% CI of 47.9% to 56.6%]. Age, computer literacy, computer access at health facilities, attitude towards EHRs, awareness about EHRs, perceived benefit, and perceived technology self-efficacy were significantly associated with the overall health care providers’ readiness for the adoption of EHR using a cut point of P-value less than 0.05. CONCLUSION: Around half of the respondents had a good level of overall healthcare providers’ readiness for the adoption of EHR which was considered inadequate. This finding implied that a huge effort is required to improve readiness before the actual implementation of EHRs. The finding implied that younger-aged groups were more ready for such technology which in turn implied; the older one needs more concern. Enhancing computer literacy, confidence building to raise self-efficacy of such technology, addressing the issue of computer availability at health facilities, building a positive attitude, awareness campaign of EHR, and recognizing the usefulness of such systems were the necessary measures to improve EHR readiness in this setting. Additionally, further studies are recommended to encompass all types of EHR readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed by future works. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07688-x. BioMed Central 2022-03-02 /pmc/articles/PMC8889777/ /pubmed/35232436 http://dx.doi.org/10.1186/s12913-022-07688-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Ngusie, Habtamu Setegn Kassie, Sisay Yitayih Chereka, Alex Ayenew Enyew, Ermias Bekele Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title | Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title_full | Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title_fullStr | Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title_full_unstemmed | Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title_short | Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
title_sort | healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889777/ https://www.ncbi.nlm.nih.gov/pubmed/35232436 http://dx.doi.org/10.1186/s12913-022-07688-x |
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