http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 오강복 (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
전국의료관련감염감시체계 중환자실 부문 재원일수와 기구일수 자료 수집에 관한 설문조사
송제은,오강복,최영화,김성란,한수하,유소연,유현미,최지연,신명진,곽이경 대한의료관련감염관리학회 2023 의료관련감염관리 Vol.28 No.1
Background: National surveillance data should be validated to identify data quality issues. Denominator data can substantially affect the healthcare-associated infection (HAI) rate; however, they are relatively overlooked compared to numerator data. We analysed the status of and problems with collecting denominator data by the Korean National Healthcare-associated Infections Surveillance System (KONIS). Methods: This study was conducted in 21 (10.8%) of the 193 hospitals that participated in the KONIS ICU module between July 2016 and June 2017. A survey examined denominator data collection methods, such as patient days and device days of central lines and urinary catheters, between November and December 2017. The knowledge of central lines and urinary catheters specifically for KONIS reporting purposes, and the correct answer rate to questionnaires regarding specific situations related to the calculation of device days, were also evaluated. Results: Counting the denominator data, the respective proportions using manual or electronic methods were 52.4% vs. 42.8% for patient days, 66.7% vs. 33.3% for central line days, and 61.9% vs. 38.1% for urinary catheter days. The rate of accurately understanding and responding to the case questions on device days through a survey was 19.0–81.0% for the central lines and 33.3–95.2% for the urinary catheters. Conclusion: It is important to collect accurate denominator data in addition to numerator data to maintain the reliability of the national HAI surveillance data. Continued education of the surveillance personnel on the definition of denominator data and accurate data collection methods is required.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
