英文摘要 |
Objectives: In order to effectively help persons examine their insomnia, we planed to assess psychometric properties of sleep quality for Taiwanese version on (1) validation, (2) determination of cut-off point to identify insomnia, and (3)KIDMAP to disclose self-assessing sleep quality. Methods: We adopted Rasch analysis with Winsteps computer software to build up a norm-reference of the self-assessing insomnia on internet for further medical consultation. Results: The measurement of the sleep quality scale for Taiwanese version had an overall reliability coefficient of 0.79 for all subjects. A summed score of greater than 6 was yielded by k-means procedure of cluster analysis. KIDMAP diagnosis could provide examinees with an objective and sufficient diagram to identify their quality of sleep at an early stage.Conclusions: A newly-innovated KIDMAP diagram of self-assessment medical scales for quality-of-sleep diagnosis may be an effective screening approach used as an e-commerce tool in future. |