The Quebec User Evaluation With Assistive Technology (Version 2.0; QUEST 2.0) has become an important outcome assessment to capture user satisfaction in the field of assistive technology. The purpose of this study is to investigate the psychometric properties of the Chinese version of the QUEST 2.0 (C-QUEST) in terms of content and substantive and factor validity and to explore its applicability on user satisfaction on mobility and equipment among Chinese people with spinal cord injury. A group of six expert members were invited to evaluate the content validity and translation quality of the 12-item C-QUEST. The revised version, along with the brief version of the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF [HK]), was administered on user satisfaction of people with spinal cord injury in the community. The content validity and item performance were evaluated to be satisfactory. Exploratory factor analysis with varimax rotation agreed with the bidimensional structure of Device and Services in the construct of user satisfaction (61.06% variance explained). Items in WHOQOL-BREF (HK) were shown to have positive and moderate correlations with C-QUEST Device items (r = .412-.567, p < .05) but no significant associations with the Services items (p > .05). The 12-item C-QUEST was shown to be a valid and relevant instrument to capture the user satisfaction among Chinese people with spinal cord injury in the context of mobility and seating equipment.
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http://dx.doi.org/10.1080/10400435.2006.10131904 | DOI Listing |
Sensors (Basel)
December 2024
College of AI/SW Convergence, Kyungnam University, 7 Gyeongnamdaehak-ro, Masanhappo-gu, Changwon 51767, Republic of Korea.
The proliferation of 5G networks has revolutionized wireless communication by delivering enhanced speeds, ultra-low latency, and widespread connectivity. However, in heterogeneous cloud radio access networks (H-CRAN), efficiently managing inter-cell interference while ensuring energy conservation remains a critical challenge. This paper presents a novel energy-efficient, dynamic enhanced inter-cell interference coordination (eICIC) scheme based on deep reinforcement learning (DRL).
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Medical Device Engineering and Management, Yonsei University College of Medicine, Seoul 06229, Republic of Korea.
Background/objectives: The patient monitoring system is a critical tool commonly used in hospitals, making it essential to assess caregivers' user requirements and satisfaction with its usability. In intensive care units (ICUs), the usability of these systems is closely linked to the work efficiency of key users, such as nurses, and directly impacts patient safety and treatment outcomes. This study evaluates the usability of patient monitoring systems in intensive care units (ICUs), focusing on user requirements and satisfaction among nurses, the primary users.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland (RCSI), 1st Floor Ardilaun House Block B, 111 St Stephen's Green, Dublin 2, Ireland.
Background: The advantages of electronic health records (EHRs) are well-documented regarding the process of care, enhanced data accessibility and cost savings. However, EHR design can also contribute to usability challenges, with poorly designed EHRs being implicated in user errors including patient overdoses. Our study seeks to evaluate how EHR design influences both usability and medication safety.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Community Medicine, VMMC and Safdarjung Hospital, New Delhi, India.
User satisfaction with Assistive Technology (AT) is one of the crucial factors in the success of any AT service. The current study aimed to estimate satisfaction with AT and the reasons for dissatisfaction and unsuitability among persons with functional difficulties in India. Using the WHO Rapid Assistive Technology Assessment tool, a cross-sectional study was conducted in eight districts, representing four zones of India.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Sungkyunkwan University, Seoul, Republic of Korea.
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence-driven solutions.
Objective: This study aimed to develop and evaluate the performance of HoMemeTown Dr.
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