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Hongsoo Kim 1 Article
Acceptance Measure of Quality Improvement Information System among Long-term Care Workers: A Psychometric Assessment
Tae Hoon Lee, Young il Jung, Hongsoo Kim
J Korean Acad Community Health Nurs. 2017;28(4):513-523.   Published online December 31, 2017
DOI: https://doi.org/10.12799/jkachn.2017.28.4.513
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AbstractAbstract PDF
PURPOSE
We evaluated the psychometric properties of a questionnaire on the acceptance of the quality improvement information system (QIIS) among long-term care workers (mostly nurses).
METHODS
The questionnaire composes of 21 preliminary questions with 5 domains based on the Technology Acceptance Model and related literature reviews. We developed a prototype web-based comprehensive resident assessment system, and collected data from 126 subjects at 75 long-term care facilities and hospitals, who used the system and responded to the questionnaire. A priori factor structure was developed using an exploratory factor analysis and validated by a confirmatory factor analysis; its reliability was also evaluated.
RESULTS
A total of 16 items were yielded, and 5 factors were extracted from the explanatory factor analysis: Usage Intention, Perceived Usefulness, Perceived Ease of Use, Social Influence, and Innovative Characteristics. The five-factor structure model had a good fit (Tucker-Lewis index [TLI]=.976; comparative fit index [CFI]=.969; standardized root mean squared residual [SRMR]=.052; root mean square error of approximation [RMSEA]=.048), and the items were internally consistent(Cronbach's α=.91).
CONCLUSION
The questionnaire was valid and reliable to measure the technology acceptance of QIIS among long-term care workers, using the prototype.

Citations

Citations to this article as recorded by  
  • Reliability and Validity Analysis of the Korean Version of the Affinity for Technology Interaction Scale
    Taehui Kim, Seyeon Park, Miri Jeong
    Healthcare.2023; 11(13): 1951.     CrossRef
  • Effectiveness of a Technology-Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge Cluster Randomized Trial in Nursing Homes
    Hongsoo Kim, Young-il Jung, Gi-Soo Kim, Hyoungshim Choi, Yeon-Hwan Park, Suzanne Meeks
    The Gerontologist.2021; 61(3): 460.     CrossRef
  • Validation of an integrated service model, Health-RESPECT, for older patients in long-term care institution using information and communication technologies: protocol of a cluster randomised controlled trial
    Jung-Yeon Choi, Kwang-il Kim, Hongsoo Kim, Young-il Jung, In-Hwan Oh, Seungyeon Chun, Gi-Soo Kim, Jae-Young Lim, Jin Young Ko
    BMJ Open.2020; 10(10): e038598.     CrossRef

RCPHN : Research in Community and Public Health Nursing