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The aim is to identify patients likely to have future emergency hospital admissions using routine data.

Identifying patients at high risk of emergency hospital admissions: a logistic regression analysis

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The aim is to identify patients likely to have future emergency hospital admissions using routine data.
Descriptive analysis of inpatient hospital episode statistics.
Developed a predictive model using multiple logistic regression.
Analyzed data from NHS hospital trusts in England including all emergency admissions in a specified period.
2,895,234 patients were admitted as emergencies in 2000/2001.
269,686 (9.8%) of the surviving patients had two or more emergency admissions within 365 days.
Risk factors included comorbidity, age, socioeconomic data, and the number of prior admissions.

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Descriptive analysis identifies risk factors for emergency admissions in patients, suggesting efficient management strategies.

Alex Bottle (2006) studied this question.

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