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

Chen, Wensen; Zhang, Weihong; Li, Zhanjie; Yang, Yue; Fu, Chuanxi; XueShun, Ge; Wang, Ting-Rui; Fang, Ping; Feng, Cheng; Liu, Jing; Liu, Shanshan; Hong-xia, Pan; Tong, Zhu; Tian, Ye; Wang, Wenyi; Hu, Xing; Yao, Jianquan; Yuan, Yang; Jiang, Ping; Tang, Hongping; Zhou, Jun; JinCheng, Zang; Shunhua, Lu; Huang, Huiping; Lei, Xiao-Hang; Binghua, Huang; Wang, Shihao; Huang, Feng-Yi; Hong-ying, Tao; Zhang, Yongxiang; Liu, Bo; Li, Huifen; Li, Song-Qin; Hu, Bijie; Liu, Yun

doi:10.21037/atm.2019.08.80

Cited by 10 publications

(11 citation statements)

References 21 publications

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“…It is also imaginable that, especially in the start-up phases, AS will run next to conventional surveillance, and these methods will produce results that cannot be compared. In addition, when AS is rolled out, research is needed to determine whether the results obtained by AS can be the driver of quality improvement [20,24].…”

Section: Risks Of Asmentioning

confidence: 99%

“…Secondly, as with conventional HAI surveillance, the validity and reliability of surveillance will need to be carefully assessed and monitored, as automation in itself is not a guarantee of quality, and seemingly small differences in methodology can have important consequences on the results [20,43]. This applies to both the initiation phase and later phases.…”

Section: Risks Of Asmentioning

confidence: 99%

“…An established AS system needs ongoing maintenance and further development activities, both in the participating healthcare facilities and in the coordinating centre, in order to maintain data quality and ensure acceptance of the system [20]. This requires the allocation of sufficient resources.…”

Section: Maintenance Of the Systemmentioning

confidence: 99%

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PRAISE: providing a roadmap for automated infection surveillance in Europe

Mourik

Rooden

Abbas

et al. 2021

Clinical Microbiology and Infection

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Introduction: Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes.Conventional surveillance e manual chart review e is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care. Methods: The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts. Results: This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS. Conclusions: Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakeholders and the investment of considerable resources. This roadmap can be used to guide future steps towards implementation, including designing solutions for AS and practical guidance checklists.

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Section: Risks Of Asmentioning

confidence: 99%

Section: Risks Of Asmentioning

confidence: 99%

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PRAISE: providing a roadmap for automated infection surveillance in Europe

Mourik

Rooden

Abbas

et al. 2021

Clinical Microbiology and Infection

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“…Historically these data sources have been handled manually, using time intensive frameworks that prevent their use in real-time. Hospitals that have moved to digital systems have seen an increase in the effectiveness and efficiency of patient focused IPC, through improved availability of data resources and reduced burdens of manual data collection and processing (Chen et al, 2019; Russo et al, 2018). However, while these data streams are well established for patient focused activities, those for the management of HAIs in HCWs are relatively underdeveloped.…”

Section: Introductionmentioning

confidence: 99%

Using routinely collected hospital data to investigate healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic

Wilson‐Aggarwal

Gotts

Wong

et al. 2022

Preprint

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Movement and contacts are central to the transmission of infectious diseases and, within the hospital setting, healthcare worker (HCW) mobility and their contact with patients play an important role in the spread of nosocomial disease. Yet data relating to HCW behaviours associated with mobility and contacts in the healthcare environment are often limited. This paper proposes a framework for integrating several electronic data sources routinely-collected by modern hospitals, to enable the measurement of HCW behaviours relevant to the transmission of infections. Using data from a London teaching hospital during the COVID-19 pandemic, we demonstrate how, at an aggregate level, electronic medical records (EMRs) and door access logs can be used to establish changes in HCW mobility and patient contacts. In addition, to show the utility of these data sources in supporting infection prevention and control (IPC), we investigate changes in the indirect connectivity of patients (resulting from shared contacts with HCWs) and spatial connectivity of floors (owing to the movements of HCWs). Average daily rates of patient contacts are computed and found to be higher throughout the pandemic compared to that pre-pandemic, while the average daily rates of HCW mobility remained stable until the second wave, where they surpassed pre-pandemic levels. The response of HCW behaviour to the pandemic was not equal between floors, whereby the highest increases in patient contacts and mobility were on floors handling the majority of COVID-19 patients. The first wave of COVID-19 patients resulted in changes to the flow of HCWs between floors, but the interconnectivity between COVID-19 and non COVID-19 wards was evident throughout the pandemic. Daily rates of indirect contact between patients provided evidence for reactive staff cohorting, whereby indirect contact rates between COVID-19 positive and negative patients were lowest during peaks in COVID-19 hospital admissions. We propose that IPC practitioners use these routinely collected data on HCW behaviour to support infection control activities and to help better protect hospital staff and patients from nosocomial outbreaks of communicable diseases.

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“…Healthcare-associated infections (HAIs) are associated with significant morbidity and mortality as well as increased medical costs (1). However, HAIs are preventable.…”

Section: Introductionmentioning

confidence: 99%

An interventional implementation project: hand hygiene improvement

Wang

et al. 2020

Ann Transl Med

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Background: Good hand hygiene is the most effective basic measure for preventing hospital-acquired infections. This research project, which originated from a project report on improving hand hygiene at a general hospital in Hangzhou, Zhejiang, China, aimed to investigate the effectiveness of hand hygiene improvement among the hospital staff.Methods: Since 2017, a hand hygiene improvement project involving the staff of a 2,500-bed general teaching hospital in Zhejiang, China, has been carried out. This study summarized the implementation and effectiveness of the project, which is based on the five factors of systematic evaluation. The research

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

Cited by 10 publications

References 21 publications

PRAISE: providing a roadmap for automated infection surveillance in Europe

PRAISE: providing a roadmap for automated infection surveillance in Europe

Using routinely collected hospital data to investigate healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic

An interventional implementation project: hand hygiene improvement

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