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Development and validation of a Smartphone Impact Scale among healthcare professionals

OBJECTIVES: Smartphone overuse is prevalent among healthcare professionals. There is no standard scale that can measure the impact of smartphone usage on healthcare professionals. This study aimed to develop and validate a tool, the Smartphone Impact Scale (SIS), that can effectively measure the use...

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Autores principales: Altamimi, Tahani N., Alex, Johnson, Khan, Moizuddin M., Nair, Binu V.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564985/
https://www.ncbi.nlm.nih.gov/pubmed/33132811
http://dx.doi.org/10.1016/j.jtumed.2020.05.009
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author Altamimi, Tahani N.
Alex, Johnson
Khan, Moizuddin M.
Nair, Binu V.S.
author_facet Altamimi, Tahani N.
Alex, Johnson
Khan, Moizuddin M.
Nair, Binu V.S.
author_sort Altamimi, Tahani N.
collection PubMed
description OBJECTIVES: Smartphone overuse is prevalent among healthcare professionals. There is no standard scale that can measure the impact of smartphone usage on healthcare professionals. This study aimed to develop and validate a tool, the Smartphone Impact Scale (SIS), that can effectively measure the use of smartphone among healthcare professionals. METHODS: We developed a generic instrument to study the impact of smartphone usage among healthcare professionals. A total of 1436 healthcare professionals from various regions of KSA participated in this study through an online questionnaire-based survey. The psychometric properties of the SIS were developed using content validity index (CVI), factor analysis, internal consistency, and test-retest reliability analysis. RESULTS: A 23-item scale was selected for reliability and validity analysis. The average CVI was found to be 0.824. The internal consistency with Cronbach's alpha value was 0.91, and test-retest reliability was 0.85. The Cronbach's alpha values for Factors 1 and 2 were 0.875 and 0.803, respectively. The confirmatory factor analysis indices were as follows: root mean square of approximation = 0.0710, comparative fit index = 0.861, Tucker–Lewis index = 0.845, and the coefficient of determination = 0.969. The correlation between two factors was 0.66. After factor analysis, we developed a final questionnaire with 23 items. CONCLUSIONS: Our SIS showed a three-factor structure and appropriate psychometric characteristics. Due to its adequate reliability and validity, SIS can be conveniently used to evaluate the impact of smartphone usage on healthcare professionals.
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spelling pubmed-75649852020-10-29 Development and validation of a Smartphone Impact Scale among healthcare professionals Altamimi, Tahani N. Alex, Johnson Khan, Moizuddin M. Nair, Binu V.S. J Taibah Univ Med Sci Original Article OBJECTIVES: Smartphone overuse is prevalent among healthcare professionals. There is no standard scale that can measure the impact of smartphone usage on healthcare professionals. This study aimed to develop and validate a tool, the Smartphone Impact Scale (SIS), that can effectively measure the use of smartphone among healthcare professionals. METHODS: We developed a generic instrument to study the impact of smartphone usage among healthcare professionals. A total of 1436 healthcare professionals from various regions of KSA participated in this study through an online questionnaire-based survey. The psychometric properties of the SIS were developed using content validity index (CVI), factor analysis, internal consistency, and test-retest reliability analysis. RESULTS: A 23-item scale was selected for reliability and validity analysis. The average CVI was found to be 0.824. The internal consistency with Cronbach's alpha value was 0.91, and test-retest reliability was 0.85. The Cronbach's alpha values for Factors 1 and 2 were 0.875 and 0.803, respectively. The confirmatory factor analysis indices were as follows: root mean square of approximation = 0.0710, comparative fit index = 0.861, Tucker–Lewis index = 0.845, and the coefficient of determination = 0.969. The correlation between two factors was 0.66. After factor analysis, we developed a final questionnaire with 23 items. CONCLUSIONS: Our SIS showed a three-factor structure and appropriate psychometric characteristics. Due to its adequate reliability and validity, SIS can be conveniently used to evaluate the impact of smartphone usage on healthcare professionals. Taibah University 2020-08-21 /pmc/articles/PMC7564985/ /pubmed/33132811 http://dx.doi.org/10.1016/j.jtumed.2020.05.009 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Altamimi, Tahani N.
Alex, Johnson
Khan, Moizuddin M.
Nair, Binu V.S.
Development and validation of a Smartphone Impact Scale among healthcare professionals
title Development and validation of a Smartphone Impact Scale among healthcare professionals
title_full Development and validation of a Smartphone Impact Scale among healthcare professionals
title_fullStr Development and validation of a Smartphone Impact Scale among healthcare professionals
title_full_unstemmed Development and validation of a Smartphone Impact Scale among healthcare professionals
title_short Development and validation of a Smartphone Impact Scale among healthcare professionals
title_sort development and validation of a smartphone impact scale among healthcare professionals
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564985/
https://www.ncbi.nlm.nih.gov/pubmed/33132811
http://dx.doi.org/10.1016/j.jtumed.2020.05.009
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