지역사회간호학회지 (Research in Community and Public Health Nursing)

  • 제28권4호
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  • Pages.513-523
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  • 2017
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  • 1225-9594(pISSN)
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  • 2288-4203(eISSN)
한국지역사회간호학회 (Korean Academy of Community Health Nursing)
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장기요양인력의 질 향상 정보시스템 수용 측정도구: 신뢰타당도 평가

Acceptance Measure of Quality Improvement Information System among Long-term Care Workers: A Psychometric Assessment

  • 이태훈 (서울대학교 보건대학원 보건학과) ;
  • 정영일 (서울대학교 보건환경연구소) ;
  • 김홍수 (서울대학교 보건대학원 보건학과.보건환경연구소.노화고령사회연구소)
  • Lee, Taehoon (Department of Health Science, Seoul National University Graduate School of Public Health) ;
  • Jung, Young-il (Seoul National University Institute of Health and Environment) ;
  • Kim, Hongsoo (Department of Health Science, Seoul National University Graduate School of Public Health.Seoul National University Institute of Health and Environment.Seoul National University Institute of Aging)
  • 투고 : 2017.08.04
  • 심사 : 2017.11.29
  • 발행 : 2017.12.31
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초록

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 ${\alpha}=.91$). 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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