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

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