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Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views
INTRODUCTION: Information technology (IT) is an important component of medical informatics. Information needs to be accepted by users to function effectively. At different ages and from different views, several models have been proposed and used to show factors affecting users’ IT acceptance. Howeve...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academy of Medical sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004288/ https://www.ncbi.nlm.nih.gov/pubmed/32055091 http://dx.doi.org/10.5455/aim.2019.27.245-252 |
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author | Farzandipour, Mehrdad Nadi-Ravandi, Somayyeh Gilasi, Hamidreza Soleimani, Nabiallah |
author_facet | Farzandipour, Mehrdad Nadi-Ravandi, Somayyeh Gilasi, Hamidreza Soleimani, Nabiallah |
author_sort | Farzandipour, Mehrdad |
collection | PubMed |
description | INTRODUCTION: Information technology (IT) is an important component of medical informatics. Information needs to be accepted by users to function effectively. At different ages and from different views, several models have been proposed and used to show factors affecting users’ IT acceptance. However, such models are in need of frequent revision and development due to variable conditions. AIM: The present research aims to design a new health IT acceptance model from Iranian users’ views. The research aims both to design a model for status quo by reviewing previous models and consider features of Iranian users. METHODS: This is a correlative, cross-sectional study. Firstly, the primary model was presented by studying important IT acceptance models. Then, a structured questionnaire was designed and, after confirmation of validity and reliability of the questionnaire, it was given to users of information and health IT systems in different wards of hospitals in Iran. Data were analyzed by SPSS and Lisrel and the final model was designed by structural equations. RESULTS: The model showed that there are six key factors which are effective on attitude and use intention including performance expectancy, observability, effort expectancy, facilitating conditions, empowerment and subjective norms via three interface factors of perceived usefulness, perceived ease of use, self-efficacy. The size of technology use is an important factor in technology acceptance and application as well. CONCLUSION: The present model has more details compared to the other models and can show a new image of important factors in technology acceptance and their relationships. |
format | Online Article Text |
id | pubmed-7004288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Academy of Medical sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-70042882020-02-13 Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views Farzandipour, Mehrdad Nadi-Ravandi, Somayyeh Gilasi, Hamidreza Soleimani, Nabiallah Acta Inform Med Original Paper INTRODUCTION: Information technology (IT) is an important component of medical informatics. Information needs to be accepted by users to function effectively. At different ages and from different views, several models have been proposed and used to show factors affecting users’ IT acceptance. However, such models are in need of frequent revision and development due to variable conditions. AIM: The present research aims to design a new health IT acceptance model from Iranian users’ views. The research aims both to design a model for status quo by reviewing previous models and consider features of Iranian users. METHODS: This is a correlative, cross-sectional study. Firstly, the primary model was presented by studying important IT acceptance models. Then, a structured questionnaire was designed and, after confirmation of validity and reliability of the questionnaire, it was given to users of information and health IT systems in different wards of hospitals in Iran. Data were analyzed by SPSS and Lisrel and the final model was designed by structural equations. RESULTS: The model showed that there are six key factors which are effective on attitude and use intention including performance expectancy, observability, effort expectancy, facilitating conditions, empowerment and subjective norms via three interface factors of perceived usefulness, perceived ease of use, self-efficacy. The size of technology use is an important factor in technology acceptance and application as well. CONCLUSION: The present model has more details compared to the other models and can show a new image of important factors in technology acceptance and their relationships. Academy of Medical sciences 2019-12 /pmc/articles/PMC7004288/ /pubmed/32055091 http://dx.doi.org/10.5455/aim.2019.27.245-252 Text en © 2019 Mehrdad Farzandipour, Somayyeh Nadi Ravandi, Hamidreza Gilasi, Nabiallah Soleimani http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Farzandipour, Mehrdad Nadi-Ravandi, Somayyeh Gilasi, Hamidreza Soleimani, Nabiallah Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title | Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title_full | Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title_fullStr | Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title_full_unstemmed | Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title_short | Iranian Health Information Technology Acceptance Model (IHITAM) from Users’ Views |
title_sort | iranian health information technology acceptance model (ihitam) from users’ views |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004288/ https://www.ncbi.nlm.nih.gov/pubmed/32055091 http://dx.doi.org/10.5455/aim.2019.27.245-252 |
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