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Prediction of Discharges against Medical Advice from an Alcohol and Drug Misuse Treatment Program

Niels C. Beck, Walid Shekim, Carolyn Fraps Fraps, Ann Borgmeyer, Anita Witt

SUMMARY. 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.