Constructing the Prediction Model of Pediatric Patients Return Visits to the Emergency Department using the National Health Insurance Database
| Autor: | Hai-Wei Li, 李海微 |
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| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 Objectives: Patients return visit to the emergency department is the most common situation in the emergency department (ED). Pediatric patients are high-risk medical group among all the patients. Thus, this study aims to figure out the factors which influence pediatric patients return visits to the ED within 72 hours using the data of children’s first visit record of the ED. Methods: We analyzed the Longitudinal Health Insurance Database data in 2005 derived from the National Health Insurance Research Database (NHIRD). Multivariable logistic regression analysis were performed to determine factors associated with return visits and a classification and regression tree (CART) technique to identify high-risk groups. Results: Of 323,960 eligible pediatric patients, 19,929 (6.15%) returned within 72 hours. Factors associated with return visits included Age, Allergic disease, Triage, Diagnostic Category, Intravenous infusion, Laboratory Examination, Specialist license, Hospital Level, Day of the week, Season, Whether the patient had been discharged from the hospital within the last 7 days, Number of ED visits in the previous year. Children younger than 2 years who visited on Saturday, diagnoses not belonging to the diseases of the sense organs, complications of pregnancy, childbirth, and the puerperium, diseases of the skin and subcutaneous tissue, diseases of the musculoskeletal system and connective tissue, injury and poisoning, external causes of injury, and used the ED for 1 time in the previous year had the highest probability of returning to the ED within 72 hours. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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