Evidence map›Paper›PMID 31360709›Full record

ArticleBioMed research international2019

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

Hongwu Yao, Jijiang Suo, Yubin Xing, Mingmei Du, Yanling Bai, Bowei Liu, Lu Li, Rui Huo, Jian Lin, Chunping Chen and 2 more

Abstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hongwu YaoDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Jijiang SuoDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Yubin XingDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Mingmei DuDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Yanling BaiDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Bowei LiuDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Lu LiDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.
Rui HuoHangZhou XingLin Information Technology CO., LTD, Hangzhou, China.
Jian LinHangZhou XingLin Information Technology CO., LTD, Hangzhou, China.
Chunping ChenHangZhou XingLin Information Technology CO., LTD, Hangzhou, China.
Qiang FuNational Institute of Hospital Administration, Beijing, China.ORCID https://orcid.org/0000-0002-4523-608X
Yunxi LiuDepartment of Infection Management and Disease Control, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6787-5886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Epidemiological MonitoringHealth FacilitiesQuality ControlQuality of Health CareChinaCross InfectionHumansPrevalence

Identifiers

PMID31360709
PMCPMC6642767

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.