Psychometric evaluation of the Smartphone for Clinical Work Scale to measure nurses’ use of smartphones for work purposes

Author:

Bautista John Robert1ORCID,Rosenthal Sonny1,Lin Trisha Tsui-Chuan2,Theng Yin-Leng1

Affiliation:

1. Wee Kim Wee School of Communication and Information, College of Humanities, Arts, and Social Sciences, Nanyang Technological University, Singapore

2. Department of Radio and Television, College of Communication, National Chengchi University, Taiwan

Abstract

Abstract Objective This study reports the development and psychometric evaluation of the Smartphone for Clinical Work Scale (SCWS) to measure nurses’ 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 factors that form SCWS have adequate fit to the data, thus supporting construct validity. SEM results suggest predictive 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.

Funder

Wee Kim Wee School of Communication and Information

Nanyang Technological University

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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