The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management
المؤلفون المشاركون
Liu, Yunxi
Yao, Hongwu
Suo, Jijiang
Xing, Yubin
Du, Mingmei
Bai, Yanling
Liu, Bowei
Li, Lu
Huo, Rui
Lin, Jian
Chen, Chunping
Fu, Qiang
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-07
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The magnitude and scope of the healthcare-associated infections (HCAIs) burden are underestimated worldwide, and have raised public concerns for their adverse effect on patient safety.
In China, HCAIs still present an unneglected challenge and economic burden in recent decades.
With the purpose of reducing the HCAI prevalence and enhancing precision management, China’s National Nosocomial Infection Management and Quality Control Center (NNIMQCC) had developed a Minimum Data Set (MDS) and corresponding Quality Indicators (QIs) for establishing national HCAI surveillance system, the data elements of which were repeatedly discussed, investigated, and confirmed by consensus of the expert team.
The total number of data elements in MDS and QIs were 70 and 64, and they were both classified into seven categorical items.
The NNIMQCC also had started two pilot projects to inspect the applicability, feasibility, and reliability of MDS.
After years of hard work, more than 400 health facilities in 14 provinces have realized the importance of HCAI surveillance and contributed to developing an ability of exporting automatically standardized data to meet the requirement of MDS and participate in the regional surveillance system.
Generally, the emergence of MDS and QIs in China indicates the beginning of the national HCAI surveillance based on information technology and computerized process data.
The establishment of MDS aimed to use electronic health process data to ensure the data accuracy and comparability and to provide instructive and ongoing QIs to estimate and monitor the burden of HCAIs, and to evaluate the effects of interventions and direct health policy decision-making.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yao, Hongwu& Suo, Jijiang& Xing, Yubin& Du, Mingmei& Bai, Yanling& Liu, Bowei…[et al.]. 2019. The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management. BioMed Research International،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1124197
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yao, Hongwu…[et al.]. The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management. BioMed Research International No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1124197
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yao, Hongwu& Suo, Jijiang& Xing, Yubin& Du, Mingmei& Bai, Yanling& Liu, Bowei…[et al.]. The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1124197
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1124197
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر