DiscoverInfection Control Mattersnv-HAP surveillance too time-consuming? Semi-automated may be easier than you think
nv-HAP surveillance too time-consuming? Semi-automated may be easier than you think

nv-HAP surveillance too time-consuming? Semi-automated may be easier than you think

Update: 2025-03-05
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In this episode, Phil and Martin talk to Dr Aline Wolfensberger, Senior Attending Physician, Department of Infectious Diseases and Hospital Epidemiology at University Hospital Zurich and a Senior Researcher at the Institute for Implementation Science in Health Care at the Univetsity of Zurich. We discuss a recent paper that has analysed a range of algorithms for detecting non-ventilator associated pneumonia (nvHAP) that have the potential for significantly reducing the surveillance burden. This work also demonstrated the value of an annual local hospital-wide point prevalence survey that provides data on which areas to target.


Relevant reading:


[1] Mueller A, Pfister M, Faes Hesse M, Zingg W, Wolfensberger A, Swissnoso G. Development and validation of selection algorithms for a non-ventilator hospital-acquired pneumonia semi-automated surveillance system. Clin Microbiol Infect 2024. https://doi.org/10.1016/j.cmi.2024.11.032



[2] Wolfensberger A, Scherrer AU, Sax H. Automated surveillance of non-ventilator-associated hospital-acquired pneumonia (nvHAP): a systematic literature review. Antimicrob Resist Infect Control 2024;13(1):30. https://doi.org/10.1186/s13756-024-01375-8



[3] Wolfensberger A, Jakob W, Faes Hesse M, Kuster SP, Meier AH, Schreiber PW, et al. Development and validation of a semi-automated surveillance system-lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention. Clin Microbiol Infect 2019;25(11):1428 e7- e13. https://doi.org/10.1016/j.cmi.2019.03.019

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nv-HAP surveillance too time-consuming? Semi-automated may be easier than you think

nv-HAP surveillance too time-consuming? Semi-automated may be easier than you think

Brett Mitchell