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KMID : 1104420170280040513
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Research in Community and Public Health Nursing
2017 Volume.28 No. 4 p.513 ~ p.525
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Acceptance Measure of Quality Improvement Information System among Long-term Care Workers: A Psychometric Assessment
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Lee Tae-Hoon
Jung Young-Il
Kim Hong-Soo
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Abstract
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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.
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KEYWORD
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Quality improvement, Health information systems, Psychometrics, Long-term care
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