
Discharge against medical advice (AMA), in which a patient chooses to leave the hospital before the treating physician recommends discharge, continues to be a common and vexing problem. This article reviews the prevalence, costs, predictors, and potential interventions for this clinical problem. Between 1% and 2% of all medical admissions result in an AMA discharge. Predictors of AMA discharge, based primarily on retrospective cohort studies, tended to be younger age, Medicaid or no insurance, male sex, and current or a history of substance or alcohol abuse. Interventions to reduce the rate of AMA discharges have not been systematically studied. This article offers suggestions for interventions based on studies in other areas of clinical care as well as the psychiatric AMA discharge literature. Studies for this review were identified by searching the relevant MeSH heading (discharge) and key words (against medical advice, leave, elope, hospital, and self-discharge) in PubMed databases and selecting all English-language articles from 1970 through 2008 that included data on adult medical inpatients.
Medically Uninsured, Motivation, Physician-Patient Relations, Informed Consent, Medicaid, Substance-Related Disorders, Communication, Age Factors, Patient Discharge, United States, Treatment Refusal, Sex Factors, Humans, Stress, Psychological
Medically Uninsured, Motivation, Physician-Patient Relations, Informed Consent, Medicaid, Substance-Related Disorders, Communication, Age Factors, Patient Discharge, United States, Treatment Refusal, Sex Factors, Humans, Stress, Psychological
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 256 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
