Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes

Objective: This study reports the development and psychometric evaluation of the Smartphone for Clinical WorkScale (SCWS)to measurenurses’use of smartphones for work purposes. Methods: Items were developed based on literature review and a preliminary study. After expert consultations and pilot testi...

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Main Authors: BAUTISTA, John Robert, ROSENTHAL, Sonny, LIN, Trisha Tsui-Chuan, THENG, Yin Leng
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/cis_research/176
https://ink.library.smu.edu.sg/context/cis_research/article/1175/viewcontent/ocy044_pvoa_cc_by.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.cis_research-11752024-08-13T01:47:56Z Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes BAUTISTA, John Robert ROSENTHAL, Sonny LIN, Trisha Tsui-Chuan THENG, Yin Leng Objective: This study reports the development and psychometric evaluation of the Smartphone for Clinical WorkScale (SCWS)to measurenurses’use of smartphones for work purposes. Methods: Items were developed based on literature review and a preliminary study. After expert consultations and pilot testing, a 20-item scale was administered in January-June 2017 to 517 staff nurses from 19 tertiary level general hospitals in Metro Manila, Philippines. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate construct validity. Structural equation modeling (SEM) was used to test the predictive validity of SCWS on perceived work productivity. Results: EFA results show that 15 out of 20 items loaded on five factors: communication with clinicians via call and text, communication with doctors via instant messaging, information seeking, communication with nurses via instant messaging, and communication with patients via call and text. CFA results suggest that the five fac tors that form SCWS have adequate fit to the data, thus supporting construct validity. SEM results suggest pre dictive validity since SCWS was positively associated with perceived work productivity. Conclusions: The 15-item SCWS showed satisfactory psychometric properties for use in future studies. These studies can focus on identifying factors associated with nurses’ use of smartphones for work purposes. 2018-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/cis_research/176 info:doi/10.1093/jamia/ocy044 https://ink.library.smu.edu.sg/context/cis_research/article/1175/viewcontent/ocy044_pvoa_cc_by.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection College of Integrative Studies eng Institutional Knowledge at Singapore Management University Nurses Philippines Smartphone IT consumerization mHealth Asian Studies Communication Technology and New Media Nursing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Nurses
Philippines
Smartphone
IT consumerization
mHealth
Asian Studies
Communication Technology and New Media
Nursing
spellingShingle Nurses
Philippines
Smartphone
IT consumerization
mHealth
Asian Studies
Communication Technology and New Media
Nursing
BAUTISTA, John Robert
ROSENTHAL, Sonny
LIN, Trisha Tsui-Chuan
THENG, Yin Leng
Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
description Objective: This study reports the development and psychometric evaluation of the Smartphone for Clinical WorkScale (SCWS)to measurenurses’use of smartphones for work purposes. Methods: Items were developed based on literature review and a preliminary study. After expert consultations and pilot testing, a 20-item scale was administered in January-June 2017 to 517 staff nurses from 19 tertiary level general hospitals in Metro Manila, Philippines. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate construct validity. Structural equation modeling (SEM) was used to test the predictive validity of SCWS on perceived work productivity. Results: EFA results show that 15 out of 20 items loaded on five factors: communication with clinicians via call and text, communication with doctors via instant messaging, information seeking, communication with nurses via instant messaging, and communication with patients via call and text. CFA results suggest that the five fac tors that form SCWS have adequate fit to the data, thus supporting construct validity. SEM results suggest pre dictive validity since SCWS was positively associated with perceived work productivity. Conclusions: The 15-item SCWS showed satisfactory psychometric properties for use in future studies. These studies can focus on identifying factors associated with nurses’ use of smartphones for work purposes.
format text
author BAUTISTA, John Robert
ROSENTHAL, Sonny
LIN, Trisha Tsui-Chuan
THENG, Yin Leng
author_facet BAUTISTA, John Robert
ROSENTHAL, Sonny
LIN, Trisha Tsui-Chuan
THENG, Yin Leng
author_sort BAUTISTA, John Robert
title Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
title_short Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
title_full Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
title_fullStr Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
title_full_unstemmed Psychometric evaluation of the smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes
title_sort psychometric evaluation of the smartphone for clinical work scale to measure nurses' use of smartphones for work purposes
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/cis_research/176
https://ink.library.smu.edu.sg/context/cis_research/article/1175/viewcontent/ocy044_pvoa_cc_by.pdf
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