Predicting return visits to the emergency department for pediatric patients: Applying supervised learning techniques to the Taiwan National Health Insurance Research Database

Computer Methods and Programs in Biomedicine
Ya-Han HuSheng-Feng Sung

Abstract

Return visits (RVs) to the emergency department (ED) consume medical resources and may represent a patient safety issue. The occurrence of unexpected RVs is considered a performance indicator for ED care quality. Because children are susceptible to medical errors and utilize considerable ED resources, knowing the factors that affect RVs in pediatric patients helps improve the quality of pediatric emergency care. We collected data on visits made by patients aged ≤18years to EDs from the National Health Insurance Research Database. The outcome of interest was a RV within 3days of the initial visit. Potential factors were categorized into demographics, medical history, features of ED visits, physician characteristics, hospital characteristics, and treatment-seeking behavior. A multivariate logistic regression was used to identify independent predictors of RVs. We compared the performance of various data mining techniques, including Naïve Bayes, classification and regression tree (CART), random forest, and logistic regression, in predicting RVs. Finally, we developed a decision tree to stratify the risk of RVs. Of 125,940 visits, 6,282 (5.0%) were followed by a RV within 3 days. Predictors of RVs included younger age, higher acuity...Continue Reading

Citations

Mar 6, 2018·Journal of Public Health·Feng-Jen Tsai, Valérie Junod
Apr 1, 2020·Health Information Management : Journal of the Health Information Management Association of Australia·Görkem Sarıyer, Mustafa Gökalp Ataman
Jan 28, 2020·JAMIA Open·Woo Suk HongRichard Andrew Taylor
Dec 15, 2020·Clinical Physiology and Functional Imaging·Antoine JaminAnne Humeau-Heurtier
Jan 5, 2021·Journal of the American College of Emergency Physicians Open·Abirami KirubarajanSameer Masood
Apr 17, 2021·African Journal of Emergency Medicine : Revue Africaine De La Médecine D'urgence·Kenneth M RintaariSamwel Maina Gatimu

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