Estimating out-of-hospital mortality due to myocardial infarction.
作者： Liam O'Neill
关键词: Estimation 、 Myocardial infarction 、 Negatively associated 、 Residence 、 Selection bias 、 Out of hospital 、 Health administration 、 Empirical data 、 Medicine 、 Medical emergency 、 Emergency medicine
摘要: We developed a model to estimate out-of-hospital deaths due Myocardial Infarction (MI), which was based on detailed database of MI admissions Pennsylvania hospitals during 1998. Our estimation method addresses the problem geographical selection bias in inpatient databases, occurs when patients with poor geographic access are undersampled. A Geographic Information System (GIS) used determine travel times between and patients, patients' zip code residence. Nearness hospital positively associated in-hospital mortality (P<0.01) emergency negatively (P<0.01). Model predictions were made for range input values validated using empirical data.
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