The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management

Joint Authors

Liu, Yunxi
Yao, Hongwu
Suo, Jijiang
Xing, Yubin
Du, Mingmei
Bai, Yanling
Liu, Bowei
Li, Lu
Huo, Rui
Lin, Jian
Chen, Chunping
Fu, Qiang

Source

BioMed Research International

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-07-07

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1124197