Prediction of discharges against medical advice from an alcohol and drug misuse treatment program.

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Abstract
A discriminant function method of data analysis revealed that statistically significant predictions could be made regarding AMA discharge, and that certain variables emerge consistently as predictors: a diagnosis involving personality disorder, admission after regular hours, age 20-29, intoxicated on admission, and less likely to have been referred by relatives or legal authorities.

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