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Chien SC, Chen CY, Chien CH, Iqbal U, Yang HC, Hsueh HC, Weng SF, Jian WS. Investigating nurses' acceptance of patients' bring your own device implementation in a clinical setting: A pilot study. Asia Pac J Oncol Nurs 2023; 10:100195. [PMID: 36915387 PMCID: PMC10006526 DOI: 10.1016/j.apjon.2023.100195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/19/2023] [Indexed: 02/07/2023] Open
Abstract
Objective The popularity of the "bring your own device (BYOD)" concept has grown in recent years, and its application has extended to the healthcare field. This study was aimed at examining nurses' acceptance of a BYOD-supported system after a 9-month implementation period. Methods We used the technology acceptance model to develop and validate a structured questionnaire as a research tool. All nurses (n = 18) responsible for the BYOD-supported wards during the study period were included in our study. A 5-point Likert scale was used to assess the degree of disagreement and agreement. Statistical analysis was performed in SPSS version 24.0. Results The questionnaire was determined to be reliable and well constructed, on the basis of the item-level content validity index and Cronbach α values above 0.95 and 0.87, respectively. The mean constant values for all items were above 3.95, thus suggesting that nurses had a positive attitude toward the BYOD-supported system, driven by the characteristics of the tasks involved. Conclusions We successfully developed a BYOD-supported system. Our study results suggested that nursing staff satisfaction with BYOD-supported systems could be effectively increased by providing practical functionalities and reducing clinical burden. Hospitals could benefit from the insights generated by this study when implementing similar systems.
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Affiliation(s)
- Shuo-Chen Chien
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Artificial Intelligence Research and Development Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information and Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Chun-You Chen
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Artificial Intelligence Research and Development Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information and Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Department of Radiation Oncology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chia-Hui Chien
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information and Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Office of Public Affairs, Taipei Medical University, Taipei, Taiwan
| | - Usman Iqbal
- Health ICT, Department of Health, Tasmania, Australia
- Global Health and Health Security Department, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Hsuan-Chia Yang
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information and Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Huei-Chia Hsueh
- Department of Artificial Intelligence in Medicine, Professional Master Program, Taipei Medical University, Taipei, Taiwan
- Department of Pharmacy, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shuen-Fu Weng
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Wen-Shan Jian
- School of Health Care Administration, Taipei Medical University, Taipei, Taiwan
- School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei, Taiwan
- Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan
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Ahmad Wani T, Mendoza A, Gray K, Smolenaers F. BYOD usage and security behaviour of hospital clinical staff: an Australian survey. Int J Med Inform 2022; 165:104839. [DOI: 10.1016/j.ijmedinf.2022.104839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 11/25/2022]
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