|
|
|
ÀÌÅÂÈÆ ( Lee Tae-Hoon ) - ¼¿ï´ëÇб³ º¸°Ç´ëÇпø º¸°ÇÇаú
Á¤¿µÀÏ ( Jung Young-Il ) - ¼¿ï´ëÇб³ º¸°Çȯ°æ¿¬±¸¼Ò ±èÈ«¼ö ( Kim Hong-Soo ) - ¼¿ï´ëÇб³ º¸°Ç´ëÇпø º¸°ÇÇаú
|
|
Abstract
|
|
|
|
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 ¥á=.91).
Conclusion: The questionnaire was valid and reliable to measure the technology acceptance of QIIS among long-term care workers, using the prototype.
|
|
KeyWords
|
|
Áú Çâ»ó, °Ç° Á¤º¸½Ã½ºÅÛ, °è·®½É¸®ÇÐÀû °ËÁ¤, Àå±â¿ä¾ç
Quality improvement, Health information systems, Psychometrics, Long-term care
|
|
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
|
|
|
|
µîÀçÀú³Î Á¤º¸
|
|
|
|
|
|