A pilot study of antipsychotic prescribing decisions for acutely-Ill hospitalized patients.

BACKGROUND: Evidence on antipsychotic prescribing decisions is limited. This pilot study quantified factors considered in choosing an antipsychotic and evaluated the influence of metabolic status on treatment decisions. METHODS: Prescribing decisions by 4 psychiatrists were examined based on 80 adult patients initiated on antipsychotic medication diagnosed with schizophrenia, schizoaffective disorder or bipolar disorder by DSM-IV criteria, who were admitted to an acute inpatient psychiatric program of an urban Veterans Affairs Medical Center. The primary analysis examined the association between antipsychotic treatment choice and predictions of symptom control and metabolic risk. Secondary analyses included comparison of the chosen and next best treatments in predicted symptom control and metabolic risk, the frequency of reasons cited for drug choice, and the association between treatment choice and patients' baseline metabolic parameters. Mean differences and odds-ratios (OR) with 95% confidence intervals were used to compare relationships between treatment choice, ratings of risk and metabolic data. RESULTS: Antipsychotic choice correlated significantly with ratings of predicted symptom control (OR = .92, p = 0.02) and metabolic risk (OR = .88, p = 0.01). Mean differences between the chosen and next best drugs were significant but small in predicted symptom control (F = 2.81, df = 3, 76; p<0.05) compared with larger differences in anticipated metabolic risk (F = 14.80, df = 3, 76; p = 0.0001). Nevertheless, among 24 identified reasons influencing drug selection, anticipated metabolic risk of chosen antipsychotics was cited less often than efficacy measures. In contrast to psychiatrists' expectations of metabolic risk with selected treatments, we found that patients' actual baseline BMI, fasting glucose, blood pressure, and Framingham risk levels did not necessarily predict antipsychotic treatment choice independent of other factors. CONCLUSION: In the context of an acute psychiatric hospitalization, pilot data suggest that predictions of symptom control and metabolic risk correlated significantly with antipsychotic choice, but study psychiatrists were willing to assume relative degrees of metabolic risk in favor of effective symptom control. However, prescribing decisions were influenced by numerous patient and treatment factors. These findings support the potential utility of the ATCQ questionnaire in quantifying antipsychotic prescribing decisions. Further validation studies of the ATCQ questionnaire could enhance translation of research findings and application of treatment guidelines.

Why patients sign out against medical advice (AMA): factors motivating patients to sign out AMA.

A retrospective review of the against medical advice (AMA) discharges revealed that the majority of the patients left AMA for personal reasons, i.e., sickness or death in the family; reconciliation with spouse, girl friend, or family members; financial problems; and legal issues such as a court date. Strategies to reduce AMA discharges and increase patient retention in treatment are suggested.

Nicotine intervention during detoxification and treatment for other substance use.

This preliminary study evaluated the efficacy of a brief smoking cessation intervention (30 controls, 34 intervention groups) on a smoke-free inpatient unit for substance use detoxification. Controls received usual care, including the transdermal nicotine patch and referral to an outpatient smoking program. The intervention group additionally received a structured motivational enhancement program. Biochemically confirmed smoking cessation rate and abstinence/reduction of alcohol or other drug use were the main outcome measures taken 6 months after treatment initiation. The smoking cessation intervention did not result in greater participation in formal outpatient smoking cessation treatment and was not associated with either enhanced smoking cessation (6 vs. 0%) or greater smoking reduction at follow-up. Both groups significantly reduced the number of cigarettes smoked per day (cpd) from about 24 at baseline to 10cpd. The groups did not differ on abstinence from nonnicotine addictive substances. Smoking cessation treatment in substance users undergoing detoxification resulted in little or no smoking cessation advantage.