Publications by authors named "R M Hope"
Extraintestinal pathogenic (ExPEC) causes invasive disease (IED), including bacteraemia and (uro)sepsis, resulting in a high disease burden, especially among older adults. This study describes the epidemiology of IED in England (2013-2017) by combining laboratory surveillance and clinical data. A total of 191 612 IED cases were identified.
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- The study aims to predict antimicrobial resistance (AMR) at the hospital level in England using machine learning techniques, specifically focusing on historical data of AMR and antimicrobial usage over multiple years.
- The research employs an Extreme Gradient Boosting (XGBoost) model and compares its predictive capability against other methods, finding XGBoost to offer the best performance, particularly in hospitals experiencing significant changes in AMR prevalence.
- The results highlight that year-to-year AMR variability is generally low, but specific hospital groups with larger fluctuations can benefit from advanced predictive modeling, aiding in targeted interventions for AMR management.
Background: Our aim was to assess the impact of COVID-19 pandemic on mortality in patients hospitalised with Gram-negative bloodstream infections (GNBSIs).
Methods: A retrospective cohort study including cases of Escherichia coli, Klebsiella species and Pseudomonas aeruginosa in England (January 2015-December 2021) reported to UKHSA's Second Generation Surveillance System. The outcome was 30-day all-cause mortality.
We conducted a cluster-randomized hybrid effectiveness-implementation study of CyberRwanda, a digital family planning and reproductive health intervention for Rwandan adolescents. Sixty schools were randomized 1:1:1 to control or to one of two implementation models-self-service (self-guided access on tablets) or facilitated (peer-led clubs plus tablet access) with no masking. Eligible participants were aged 12-19 years, in secondary school levels 1 or 2, and willing to provide consent or assent/parental consent and contact information for follow-up.
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