Evidence map›Paper›PMID 31700880›Full record

ArticleAnnals of translational medicine2019

Evaluation of manual and electronic healthcare-associated infections surveillance: a multi-center study with 21 tertiary general hospitals in China.

Wen-Sen Chen, Wei-Hong Zhang, Zhan-Jie Li, Yue Yang, Fu Chen, Xue-Shun Ge, Ting-Rui Wang, Ping Fang, Cheng-Yi Feng, Jing Liu and 25 more

Abstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

35 authors.

Wen-Sen ChenDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Wei-Hong ZhangDepartment of Infection Control, Shengze Branch of Jiangsu Province Hospital & Jiangsu Shengze Hospital, Suzhou 215000, China.
Zhan-Jie LiDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Yue YangDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Fu ChenDepartment of Infection Control, Northern Jiangsu Province Hospital, Yangzhou 225001, China.
Xue-Shun GeDepartment of Infection Control, People's Hospital of Gaoyou, Yangzhou 225600, China.
Ting-Rui WangDepartment of Infection Control, Affiliated Hospital of Yangzhou University, Yangzhou 225000, China.
Ping FangDepartment of Infection Control, Second People's Hospital of Huai'an, Huai'an 223002, China.
Cheng-Yi FengDepartment of Infection Control, First People's Hospital of Changzhou, Changzhou 213003, China.
Jing LiuDepartment of Infection Control, First People's Hospital of Lianyungang, Lianyungang 222000, China.
Shan-Shan LiuDepartment of Infection Control, First People's Hospital of Lianyungang, Lianyungang 222000, China.
Hong-Xia PanDepartment of Infection Control, Taixing People's Hospital, Taizhou 225400, China.
Tie-Lin ZhuDepartment of Infection Control, Taizhou People's Hospital, Taizhou 225400, China.
Yuan-Yuan TianDepartment of Infection Control, Wuxi No.2 People's Hospital, Wuxi 214000, China.
Wen-Yi WangDepartment of Infection Control, Yancheng First People's Hospital, Yancheng 224005, China.
Hu XingDepartment of Infection Control, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China.
Jing YaoDepartment of Infection Control, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China.
Yong-Mei YuanDepartment of Infection Control, Affiliated Hospital of Nantong University, Nantong 226001, China.
Ping JiangDepartment of Infection Control, First People's Hospital of Nantong, Nantong 226001, China.
Hong-Ping TangDepartment of Infection Control, People's hospital of Qidong, Nantong 226200, China.
Jun ZhouDepartment of Infection Control, People's hospital of Qidong, Nantong 226200, China.
Jin-Cheng ZangDepartment of Infection Control, Luoyang Central Hospital, Luoyang 471009, China.
Shan LuDepartment of Infection Control, Kaifeng Second People's Hospital, Kaifeng 475000, China.
Hui-Ping HuangDepartment of Infection Control, First Affiliated Hospital of Xiamen, Xiamen 361003, China.
Xiao-Hang LeiDepartment of Infection Control, Xi'an First Hospital, Xi'an 710002, China.
Bing-Hua HuangDepartment of Infection Control, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
Shi-Hao WangDepartment of Infection Control, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
Feng-Yi HuangDepartment of Infection Control, People's Hospital of Changshou District in Chongqing, Chongqing 401220, China.
Hong-Ying TaoDepartment of Infection Control, People's Hospital of Changshou District in Chongqing, Chongqing 401220, China.
Yong-Xiang ZhangDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Bo LiuDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Hui-Fen LiDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Song-Qin LiDepartment of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China.
Bi-Jie HuDepartment of Infectious Disease and and Infection Control, Zhongshan Hospital, Fudan University, Shanghai 200000, China.
Yun LiuDepartment of Geriatrics Endocrinology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HAIs) are still a major health threats worldwide. Traditional surveillance methods involving manual surveillance by infection control practitioners (ICPs) for data collection processes are laborious, inefficient, and generate data of variable quality. In this study, we sought to evaluate the impact of surveillance and interaction platform system (SIPS) for HAIs surveillance compared to manual survey in tertiary general hospitals.

methodsA large multi-center study including 21 tertiary general hospitals and 63 wards were performed to evaluate the impact of electronic SIPS for HAIs.

resultsWe collected 4,098 consecutive patients and found that the hospitals installed with SIPS significantly increased work efficiency of ICPs achieving satisfactory diagnostic performance of HAIs with 0.73 for sensitivity, 0.81 for specificity and 0.81 area under the curve (AUC). However, there were significant heterogeneity own to regions, time of SIPS installation, departments and sample size.

conclusionsSIPS significantly improved ICPs efficiency and HAIs monitoring effectiveness, but there were shortcomings such as untimely maintenance and high cost.

Indexed as

Healthcare-associated infections (HAIs)surveillance and interaction platform system (SIPS)

Identifiers

PMID31700880
PMCPMC6803242

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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.