Using hospital network-based surveillance for antimicrobial resistance as a more robust alternative to self-reporting [article]

Tjibbe Donker, Timo Smieszek, Katherine L. Henderson, Timothy M. Walker, Russell Hope, Alan P. Johnson, Neil Woodford, Derrick W. Crook, Tim E.A. Peto, Sarah Walker, Julie V. Robotham
2019 bioRxiv   pre-print
Hospital performance is often measured using self-reported statistics, such as the incidence of hospital-transmitted micro-organisms or those exhibiting antimicrobial resistance (AMR), encouraging hospitals with high levels to improve their performance. However, hospitals that increase screening efforts will appear to have a higher incidence and perform poorly, undermining comparison between hospitals and disincentivising testing, thus hampering infection control. We propose a surveillance
more » ... m in which hospitals test patients previously discharged from other hospitals and report observed cases. Using NHS Hospital Episode Statistics data, we analysed patient movements across England and assessed the number of hospitals required to participate in such a reporting scheme to deliver robust estimates of incidence. With over 1.2 million admissions to English hospitals previously discharged from other hospitals annually, even when only a fraction of hospitals (41/155) participate (each screening at least 1000 of these admissions), the proposed surveillance system can estimate incidence across all hospitals. By reporting on other hospitals, the reporting of incidence is separated from the task of improving own performance. Therefore the incentives for increasing performance can be aligned to increase (rather than decrease) screening efforts, thus delivering both more comparable figures on the AMR problems across hospitals and improving infection control efforts.
doi:10.1101/535252 fatcat:or65dqiqznfzvg4k3gg2qmeu5q