Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Randomized Controlled Trial
Predictors of Older Adult Adherence with Emergency Department Discharge Instructions.
Older adults discharged from the emergency department (ED) are at high risk for adverse outcomes. Adherence to ED discharge instructions is necessary to reduce those risks. The objective of this study is to determine the individual-level factors associated with adherence with ED discharge instructions among older adult ED outpatients. ⋯ Older adults discharged home from the ED have mixed rates of adherence to discharge instructions. Although it is thought that some subgroups may be higher risk than others, given the opportunity to improve ED-to-home transitions, EDs and health systems should consider providing additional care transition support to all older adults discharged home from the ED.
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The COVID-19 pandemic has placed acute care providers in demanding situations in predicting disease given the clinical variability, desire to cohort patients, and high variance in testing availability. An approach to stratifying patients by likelihood of disease based on rapidly available emergency department (ED) clinical data would offer significant operational and clinical value. The purpose of this study was to develop and internally validate a predictive model to aid in the discrimination of patients undergoing investigation for COVID-19. ⋯ The derived predictive models offer good discriminating capacity for COVID-19 disease and provide interpretable and usable methods for those providers caring for these patients at the important crossroads of the community and the health system. We found utilization of the logistic regression model utilizing exposure history, temperature, WBC, and chest X-ray result had the greatest discriminatory capacity with the most interpretable model. Integrating a predictive model-based approach to COVID-19 testing decisions and patient care pathways and locations could add efficiency and accuracy to decrease uncertainty.