Background: Hospitalized neonates are vulnerable to infection and have high rates of antibiotic utilization.
Methods: Fourteen South African neonatal units (seven public, seven private sector) assembled multidisciplinary teams involving neonatologists, microbiologists, pharmacists, and nurses to implement prospective audit and feedback neonatal antimicrobial stewardship (NeoAMS) interventions. The teams attended seven online training sessions.
Network psychometrics uses graphical models to assess the network structure of psychological variables. An important task in their analysis is determining which variables are unrelated in the network, i.e.
View Article and Find Full Text PDFThe current practice of reliability analysis is both uniform and troublesome: most reports consider only Cronbach's α, and almost all reports focus exclusively on a point estimate, disregarding the impact of sampling error. In an attempt to improve the status quo we have implemented Bayesian estimation routines for five popular single-test reliability coefficients in the open-source statistical software program JASP. Using JASP, researchers can easily obtain Bayesian credible intervals to indicate a range of plausible values and thereby quantify the precision of the point estimate.
View Article and Find Full Text PDFResilience is having the ability to respond to adversity proactively and resourcefully. The coronavirus disease 2019 (COVID-19) pandemic's profound impact on antimicrobial stewardship programs (ASP) requires clinicians to call on their own resilience to manage the demands of the pandemic and the disruption of ASP activities. This article provides examples of ASP resilience from pharmacists and physicians from seven countries with different resources and approaches to ASP-The United States, The United Kingdom, Canada, Nigeria, Lebanon, South Africa, and Colombia.
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