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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taibah University
2020
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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. |
format | Online Article Text |
id | pubmed-7564985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taibah University |
record_format | MEDLINE/PubMed |
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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