Anticipated Benefits of Care (ABC): psychometrics and predictive value in psychiatric disorders.

BACKGROUND: Attitudes and expectations about treatment have been associated with symptomatic outcomes, adherence and utilization in patients with psychiatric disorders. No measure of patients' anticipated benefits of treatment on domains of everyday functioning has previously been available. METHOD: The Anticipated Benefits of Care (ABC) is a new, 10-item questionnaire used to measure patient expectations about the impact of treatment on domains of everyday functioning. The ABC was collected at baseline in adult out-patients with major depressive disorder (MDD) (n=528), bipolar disorder (n=395) and schizophrenia (n=447) in the Texas Medication Algorithm Project (TMAP). Psychometric properties of the ABC were assessed, and the association of ABC scores with treatment response at 3 months was evaluated. RESULTS: Evaluation of the ABC's internal consistency yielded Cronbach's alpha of 0.90-0.92 for patients across disorders. Factor analysis showed that the ABC was unidimensional for all patients and for patients with each disorder. For patients with MDD, lower anticipated benefits of treatment was associated with less symptom improvement and lower odds of treatment response [odds ratio (OR) 0.72, 95% confidence interval (CI) 0.57-0.87, p=0.0011]. There was no association between ABC and symptom improvement or treatment response for patients with bipolar disorder or schizophrenia, possibly because these patients had modest benefits with treatment. CONCLUSIONS: The ABC is the first self-report that measures patient expectations about the benefits of treatment on everyday functioning, filling an important gap in available assessments of attitudes and expectations about treatment. The ABC is simple, easy to use, and has acceptable psychometric properties for use in research or clinical settings.

The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation.

BACKGROUND: The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the recently developed Quick Inventory of Depressive Symptomatology (QIDS), a brief 16-item symptom severity rating scale that was derived from the longer form. Both the IDS and QIDS are available in matched clinician-rated (IDS-C30; QIDS-C16) and self-report (IDS-SR30; QIDS-SR16) formats. METHOD: The patient samples included 544 out-patients with major depressive disorder (MDD) and 402 out-patients with bipolar disorder (BD) drawn from 19 regionally and ethnicically diverse clinics as part of the Texas Medication Algorithm Project (TMAP). Psychometric analyses including sensitivity to change with treatment were conducted. RESULTS: Internal consistencies (Cronbach's alpha) ranged from 0.81 to 0.94 for all four scales (QIDS-C16, QIDS-SR16, IDS-C30 and IDS-SR30) in both MDD and BD patients. Sad mood, involvement, energy, concentration and self-outlook had the highest item-total correlations among patients with MDD and BD across all four scales. QIDS-SR16 and IDS-SR30 total scores were highly correlated among patients with MDD at exit (c = 0.83). QIDS-C16 and IDS-C30 total scores were also highly correlated among patients with MDD (c = 0.82) and patients with BD (c = 0.81). The IDS-SR30, IDS-C30, QIDS-SR16, and QIDS-C16 were equivalently sensitive to symptom change, indicating high concurrent validity for all four scales. High concurrent validity was also documented based on the SF-12 Mental Health Summary score for the population divided in quintiles based on their IDS or QIDS score. CONCLUSION: The QIDS-SR16 and QIDS-C16, as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression.

Practitioner versus medication-expert opinion on psychiatric pharmacotherapy of mentally retarded patients with mental disorders.

The agreement of practicing psychiatrists with medication experts regarding how psychotropic drugs should be used to treat behavioral and psychiatric problems in patients with mental retardation was studied. The medication survey used in developing guidelines on the treatment of behavioral and psychiatric problems in mental retardation was sent to 85 psychiatrists who had been identified as caring for the mentally retarded in the Texas public mental health system. The comparison of these practitioners with the medication experts included first-line and second-line treatment choices. Survey analysis was based on using 95% confidence intervals (CIs) to determine the type of rating. If the 95% CIs for the practitioners' responses overlapped the 95% CIs for experts, the two groups were judged to be in agreement. Thirty-seven practitioners (43.5%) completed and returned the survey. Few differences between the practitioners and the medication experts were found with respect to treatments for specific mental illness diagnoses. However, the practitioners rated venlafaxine and mirtazapine higher than the medication experts. Lithium augmentation of therapy with selective serotonin-reuptake inhibitors for nonpsychotic depression was rated first-line by the practitioners and second-line by the medication experts. Practicing psychiatrists and medication experts generally agreed about the use of psychotropic drugs for mental illness in patients with mental retardation.

Texas Medication Algorithm Project: development and feasibility testing of a treatment algorithm for patients with bipolar disorder.

BACKGROUND: Use of treatment guidelines for treatment of major psychiatric illnesses has increased in recent years. The Texas Medication Algorithm Project (TMAP) was developed to study the feasibility and process of developing and implementing guidelines for bipolar disorder, major depressive disorder, and schizophrenia in the public mental health system of Texas. This article describes the consensus process used to develop the first set of TMAP algorithms for the Bipolar Disorder Module (Phase 1) and the trial testing the feasibility of their implementation in inpatient and outpatient psychiatric settings across Texas (Phase 2). METHOD: The feasibility trial answered core questions regarding implementation of treatment guidelines for bipolar disorder. A total of 69 patients were treated with the original algorithms for bipolar disorder developed in Phase 1 of TMAP. RESULTS: Results support that physicians accepted the guidelines, followed recommendations to see patients at certain intervals, and utilized sequenced treatment steps differentially over the course of treatment. While improvements in clinical symptoms (24-item Brief Psychiatric Rating Scale) were observed over the course of enrollment in the trial, these conclusions are limited by the fact that physician volunteers were utilized for both treatment and ratings. and there was no control group. CONCLUSION: Results from Phases 1 and 2 indicate that it is possible to develop and implement a treatment guideline for patients with a history of mania in public mental health clinics in Texas. TMAP Phase 3, a recently completed larger and controlled trial assessing the clinical and economic impact of treatment guidelines and patient and family education in the public mental health system of Texas, improves upon this methodology.

Outcomes assessment of clinical pharmacy services in a psychiatric inpatient setting.

The effects of psychiatric pharmacy services on clinical outcomes of acute care psychiatric inpatients were studied. Patients recruited at a state psychiatric facility during phase 1 (October 1996-March 1997) served as the control group and received only traditional centralized pharmaceutical services and physician-requested psychiatric pharmacotherapy consultations. Patients recruited during phase 2 (May-December 1997) received intensive psychiatric pharmacy services and served as the experimental group. Pharmaceutical services during phase 2 included attending treatment team meetings, performing baseline assessments and weekly reviews, providing pharmacotherapy recommendations, obtaining medication histories, reviewing drug administration records daily, monitoring for adverse drug reactions, conducting medication education classes, and counseling patients before discharge. Outcome variables included clinical response determined with objective rating scales, cost of care, length of stay, adverse events, rate of acceptance of recommendations, patient compliance with the first clinic visit scheduled after discharge, quality of life, and patient satisfaction. Data were analyzed for 48 patients in the control group and 45 patients in the experimental group. There were no significant differences between the two groups with respect to age, sex, duration of illness, number of hospitalizations, and number of months since the last hospitalization. Patients in the experimental group showed significant improvements in clinical response and drug-induced extrapyramidal symptoms compared with the controls and were highly satisfied with the pharmaceutical services they received. Medication costs did not differ significantly, and length of stay was about 29 days for each group. The provision of clinical pharmacy services provided to inpatients in an acute care psychiatric facility was associated with improvements in rating-scale scores for clinical response and for drug-induced extrapyramidal symptoms.

Evidence-based pharmacologic treatment for people with severe mental illness: a focus on guidelines and algorithms.

Medication treatment of severe mental illness has been advanced and complicated by the introduction of numerous therapeutic agents. Practice guidelines based on research evidence have been developed to help clinicians make complex decisions. Studies of usual care suggest an important potential role for guidelines in improving the quality of medication treatment for people with severe mental illness. The authors review current evidence-based guidelines for medication treatment of persons with severe mental illness. Four categories of guidelines are described: recommendations, comprehensive treatment options, medication algorithms, and expert consensus. The authors note that more research is needed on optimal next-step strategies and the treatment of patients with comorbidity and other complicating problems. They discuss barriers to the implementation of guidelines, and they observe that the potential of guidelines and algorithms to promote evidence-based medication treatment for persons with severe mental illness depends on refinement of tools, progress in research, and cooperation of physicians, nonphysician clinicians, administrators, and consumers and family members.

A comparison of alternative assessments of depressive symptom severity: a pilot study.

This study compared the performance of an itemized symptom self-report (Inventory of Depressive Symptomatology - Self-Report; IDS-SR), patient global ratings, and clinician global ratings with an itemized clinician-rated symptom severity measure (Inventory of Depressive Symptomatology - Clinician-Rated; IDS-C) in detecting treatment effects in patients with major depressive disorder (MDD). A total of 28 inpatients (30.8% psychotic) and 34 outpatients (17.9% psychotic) with MDD began treatment that followed the Texas medication algorithm. The clinicians completed the IDS-C and a Physician Global Rating Scale (PhGRS) at each assessment visit, while the patients completed the IDS-SR and a Patient Global Rating Scale (PtGRS). Change scores from the baseline to subsequent weeks were computed for all subjects, utilizing all four measures. The IDS-SR was a significant independent predictor of the response to treatment as compared to the two global ratings. The IDS-SR was as sensitive to change as the IDS-C. While the clinician-rated itemized symptom severity rating scale remains the standard to assess the symptomatic outcome of the treatment of MDD, a self-report of identical symptomatology may be a reasonable alternative for many patients.

Comparison of three a priori methods and one empirical method in predicting lithium dosage requirements.

The precision and bias of three a priori methods and an empirical method for predicting lithium dosage requirements were studied. Data on serum lithium concentrations were collected from inpatient medical records at a state psychiatric hospital. Predicted daily lithium doses were calculated by using a priori methods proposed by Zetin et al., Jermain et al. and Pepin et al., and an empirical method and compared with the patients' actual dosages. Similar comparisons were made with respect to serum lithium concentrations at steady state. Absolute mean error and mean error were calculated to assess the precision and bias of each a priori method. The records of 47 patients were used in the study. Average mean error for dosage predictions was -130.41, -187.69, 170.80, and -357.23 mg/day for the Jermain, Pepin, Zetin, and empirical methods, respectively. Average mean error for serum lithium concentration predictions was 0.11, -0.09, and 0.37 meq/L for the Jermain, Pepin, and empirical methods, respectively. The Jermain and empirical methods significantly overpredicted concentration and underpredicted dosage. The Zetin method overpredicted dosage. The Pepin method underpredicted dosage but not concentration. The average difference in dosage error among the methods was only 73.3 mg/day. Three a priori dosing methods were similar to an empirical method in their ability to predict lithium dosages. All methods were biased. Although all a priori methods were more precise than the empirical method, the clinical significance is unclear.

Medical services utilization and charge comparisons between elderly patients with and without Alzheimer's disease in a managed care organization.

OBJECTIVES: The purposes of this study were to describe the health service utilization patterns and the associated charges for elderly patients (aged > or = 65 years) diagnosed with Alzheimer's disease (AD) enrolled in a managed care organization (MCO), and to compare these patterns and charges with those of elderly enrollees not diagnosed with AD (non-AD). METHODS: We analyzed medical claims data over a 12-month period for the population of elderly patients with a diagnosis of AD or AD-related dementia, and for all other elderly patients enrolled in an integrated MCO. Comparisons were made at the level of service location (eg, inpatient hospital, outpatient hospital, physician's office). RESULTS: For a total of 250 patients diagnosed with AD (66.0% female, 34.0% male; mean age. 80.5 years), health care charges were 1.6 times higher per patient per year than the corresponding charges for 13,553 non-AD patients (58.6% female, 41.4% male; mean age, 73.3 years). AD patients received 1.7 times more health care services per patient per year than their non-AD counterparts. CONCLUSIONS: Despite the lack of nursing home and prescription drug data, our results show that AD patients in this MCO used more health care services and had higher annual medical care charges than non-AD patients. If MCOs conduct similar analyses of elderly AD patients' patterns of care and compare these with the patterns of elderly non-AD patients, they may be able to pinpoint areas of disparity in medical care and improve service delivery for AD patients.

Olanzapine-induced glucose dysregulation.

OBJECTIVE: To report a patient who developed severe exacerbation of type 2 diabetes mellitus after the initiation of olanzapine therapy. CASE SUMMARY: A 54-year-old African-American woman developed severe glucose dysregulation 12 days after the initiation of olanzapine. Prior to starting olanzapine therapy, the patient's diabetes was controlled by diet modification with a glycosylated hemoglobin of 6.5%. During olanzapine therapy, blood glucose concentrations could not be regulated despite use of antidiabetic agents, insulin, and dietary interventions. The patient also gained a total of 13 kg. Two weeks after discontinuation of all antipsychotic medications (olanzapine, quetiapine), the patient's blood glucose concentrations became better regulated and remained better controlled until discharge. DISCUSSION: All atypical antipsychotics are associated with weight gain. Obesity is a well-documented risk factor for developing type 2 diabetes mellitus. Currently there are only six published reports that implicate olanzapine as being associated with glucose dysregulation. The exact cause of glucose dysregulation with olanzapine is unclear, but weight gain does not seem to be the sole etiology. It has been hypothesized that serotonin (5-HT1A) antagonism may decrease the responsiveness of the pancreatic beta-cells. This would then result in inappropriately low insulin secretion and, therefore, hyperglycemia. Based on the Naranjo probability scale, the likelihood that olanzapine caused the glucose dysregulation in our patient was possible. CONCLUSIONS: Although olanzapine has shown greater clinical efficacy and is associated with fewer extrapyramidal side effects than typical antipsychotics, it may produce exacerbation or new emergence of diabetes mellitus. Further examination of the incidence and etiology of glucose dysregulation after the initiation of olanzapine therapy is necessary.

The Texas Medication Algorithm Project Patient and Family Education Program: a consumer-guided initiative.

Educating patients with mental illness and their families about the illness and its treatment is essential to successful medication (disease) management. Specifically, education provides patients and families with the background they need to participate in treatment planning and implementation as full "partners" with clinicians. Thus, education increases the probability that appropriate and accurate treatment decisions will be made and that a treatment regimen will be followed. The Texas Medication Algorithm Project (TMAP) has incorporated these concepts into its philosophy of care and accordingly created a Patient and Family Education Program (PFEP) to complement the utilization of medication algorithms for the treatment of schizophrenic, bipolar, and major depressive disorders. This article describes how a team of mental health consumers, advocates, and professionals developed and implemented the PFEP. In keeping with the TMAP philosophy of care, consumers were true partners in the program's development and implementation. They not only created several components of the program and incorporated the consumer perspective, but they also served as program trainers and advocates. Initially, PFEP provides basic and subsequently more in-depth information about the illness and its treatment, including such topics as symptom monitoring and management and self-advocacy with one's treatment team. It includes written, pictorial, videotaped, and other media used in a phased manner by clinicians and consumer educators, in either individual or group formats.

The Texas Children's Medication Algorithm Project: Report of the Texas Consensus Conference Panel on Medication Treatment of Childhood Attention-Deficit/Hyperactivity Disorder. Part I. Attention-Deficit/Hyperactivity Disorder.

OBJECTIVES: Expert consensus methodology was used to develop evidence-based, consensually agreed-upon medication treatment algorithms for attention-deficit/hyperactivity disorder (ADHD) in the public mental health sector. Although treatment algorithms for adult mental disorders have been developed, this represents one of the first attempts to develop similar algorithms for childhood mental disorders. Although these algorithms were developed initially for the public sector, the goals of this approach are to increase the uniformity of treatment and improve the clinical outcomes of children and adolescents with ADHD in a variety of treatment settings. METHOD: A consensus conference of academic clinicians and researchers, practicing clinicians, administrators, consumers, and families was convened to develop evidence-based consensus algorithms for the pharmacotherapy of childhood ADHD. After a series of presentations of current research evidence and panel discussion, the consensus panel met and drafted the algorithms along with guidelines for implementation. RESULTS: The panel developed consensually agreed-upon algorithms for ADHD with and without specific comorbid disorders. The algorithms consist of systematic strategies for psychopharmacological interventions and tactics to ensure successful implementation of the strategies. While the algorithms focused on the medication management of ADHD, the conference emphasized that psychosocial treatments are often a critical component of the overall management of ADHD. CONCLUSIONS: Medication algorithms for ADHD can be developed with consensus. A companion article will discuss the implementation of these algorithms.

The Texas Children's Medication Algorithm Project: Report of the Texas Consensus Conference Panel on Medication Treatment of Childhood Attention-Deficit/Hyperactivity Disorder. Part II: Tactics. Attention-Deficit/Hyperactivity Disorder.

OBJECTIVES: Expert consensus methodology was used to develop a medication treatment algorithm for attention-deficit/hyperactivity disorder (ADHD). The algorithm broadly outlined the choice of medication for ADHD and some of its most common comorbid conditions. Specific tactical recommendations were developed with regard to medication dosage, assessment of drug response, management of side effects, and long-term medication management. METHOD: The consensus conference of academic clinicians and researchers, practicing clinicians, administrators, consumers, and families developed evidence-based tactics for the pharmacotherapy of childhood ADHD and its common comorbid disorders. The panel discussed specifics of treatment of ADHD and its comorbid conditions with stimulants, antidepressants, mood stabilizers, alpha-agonists, and (when appropriate) antipsychotics. RESULTS: Specific tactics for the use of each of the above agents are outlined. The tactics are designed to be practical for implementation in the public mental health sector, but they may have utility in many practice settings, including the private practice environment. CONCLUSIONS: Tactics for psychopharmacological management of ADHD can be developed with consensus.

A comparison of alternative assessments of depressive symptom severity: a pilot study.

This study compared the performance of an itemized symptom self-report (Inventory of Depressive Symptomatology - Self-Report; IDS-SR), patient global ratings, and clinician global ratings with an itemized clinician-rated symptom severity measure (Inventory of Depressive Symptomatology - Clinician-Rated; IDS-C) in detecting treatment effects in patients with major depressive disorder (MDD). A total of 28 inpatients (30.8% psychotic) and 34 outpatients (17.9% psychotic) with MDD began treatment that followed the Texas medication algorithm. The clinicians completed the IDS-C and a Physician Global Rating Scale (PhGRS) at each assessment visit, while the patients completed the IDS-SR and a Patient Global Rating Scale (PtGRS). Change scores from the baseline to subsequent weeks were computed for all subjects, utilizing all four measures. The IDS-SR was a significant independent predictor of the response to treatment as compared to the two global ratings. The IDS-SR was as sensitive to change as the IDS-C. While the clinician-rated itemized symptom severity rating scale remains the standard to assess the symptomatic outcome of the treatment of MDD, a self-report of identical symptomatology may be a reasonable alternative for many patients.

Antipsychotic agents in patients with dementia.

We conducted a MEDLINE search to obtain data on various antipsychotics administered to patients with dementia and psychosis or behavioral symptoms. Additional unpublished data from conference proceedings and unpublished clinical trials were provided by Janssen Pharmaceutica, Eli Lilly and Company, and Zeneca Pharmaceuticals. All clinical trials that evaluated traditional typical or atypical antipsychotics in patients with dementia were reviewed for efficacy and safety data. Consensus guidelines published in 1994 or later were considered. After reviewing clinical trials and expert opinions, we devised an algorithm for optimal treatment of these patients. Although data are limited and do not conclusively show superiority of one agent over another, based on clinical experience and side effect profiles, risperidone is considered to be the drug of choice for treating patients with dementia and psychosis. Alternative treatment options in an algorithmic format also are recommended.

CYP2D6 mutations and therapeutic outcome in schizophrenic patients.

STUDY OBJECTIVE: To investigate whether a relationship exists between the most common known cytochrome P450 (CYP) isozyme 2D6 mutations and schizophrenia. Because most antipsychotic and antidepressant agents interact with CYP2D6, we also investigated clinical outcomes in schizophrenic poor metabolizers (PMs) and extensive metabolizers (EMs). DESIGN: Prospective, observational study. SETTING: Two psychiatric hospitals and a university-affiliated nonpsychiatric hospital. SUBJECTS: Thirty-nine consecutive schizophrenic patients (POP 1), 89 schizophrenics of French Canadian origin (POP 2), and 384 healthy French Canadians (POP 3). INTERVENTION: All study subjects were genotyped for CYP2D6 mutant alleles. POP 1 patients were evaluated before and after 21 or more days of treatment with antipsychotic drugs metabolized at least in part by CYP2D6. MEASUREMENTS AND MAIN RESULTS: Whole blood was collected to determine CYP2D6 alleles *1, *3, *4, *5, *6, and *7 using standard restriction fragment length polymorphisms and polymerase chain reaction techniques. In comparison, CYP2D6 genotypes were determined in POP 2 and POP 3. Twenty-three (59.0%) of 39 patients in POP 1 were genotypically EM homozygotes, 15 (38.4%) were EM heterozygotes, and 1 (2.6%) was a PM. Similar genotype distributions were determined in POP 2 and in POP 3. Genotype distributions for all three populations were in Hardy-Weinberg equilibrium (p>0.05), and there was no significant difference among them (p=0.857). In POP 1, no differences were seen among genotypes in disease symptom severity, number and severity of adverse drug effects, or attitudes toward drug treatment at baseline and at the end of the study. In fact, all patients improved significantly during their hospital stay (all p<0.05), although independent of the CYP2D6 genotype. CONCLUSION: Common CYP2D6 mutant alleles were not associated with schizophrenia or with disease symptoms, antipsychotic-related adverse effects, or attitudes toward treatment.

The Texas Children's Medication Algorithm Project: report of the Texas Consensus Conference Panel on Medication Treatment of Childhood Major Depressive Disorder.

OBJECTIVES: To develop consensus guidelines for medication treatment algorithms for childhood major depressive disorder (MDD) based on scientific evidence and clinical opinion when science is lacking. The ultimate goal of this approach is to synthesize research and clinical experience for the practitioner and to increase the uniformity of preferred treatment for childhood MDD. A final goal is to develop an approach that can be tested as to whether it improves clinical outcomes for children and adolescents with MDD. METHOD: A consensus conference was held. Participants included academic clinicians and researchers, practicing clinicians, administrators, consumers, and families. The focus was to review and use clinical evidence to recommend specific pharmacological approaches for treatment of MDD in children and adolescents. After a series of presentations of current research evidence and panel discussion, the consensus panel met, agreed on assumptions, and drafted the algorithms. The process initially addressed strategies of treatment and then tactics to implement the strategies. RESULTS: Consensually agreed-upon algorithms for major depressions (with and without psychosis) and comorbid attention deficit disorders were developed. Treatment strategies emphasized the use of selective serotonin reuptake inhibitors. The algorithm consists of systematic strategies for treatment interventions and recommended tactics for implementation of the strategies, including medication augmentation and medication combinations. Participants recommended prospective evaluation of the algorithms in various public sector settings, and many volunteered as sites for such an evaluation. CONCLUSIONS: Using scientific and clinical experience, consensus-derived algorithms for children and adolescents with MDD can be developed.

The Texas Medication Algorithm Project (TMAP) schizophrenia algorithms.

BACKGROUND: In the Texas Medication Algorithm Project (TMAP), detailed guidelines for medication management of schizophrenia and related disorders, bipolar disorders, and major depressive disorders have been developed and implemented. DISCUSSION: This article describes the algorithms developed for medication treatment of schizophrenia and related disorders. The guidelines recommend a sequence of medications and discuss dosing, duration, and switch-over tactics. They also specify response criteria at each stage of the algorithm for both positive and negative symptoms. The rationale and evidence for each aspect of the algorithms are presented.

Methylphenidate: increased abuse or appropriate use?

OBJECTIVE: To address the question of the significant increase in methylphenidate (MPD) prescriptions being written and to make recommendations for health care providers involved in providing care for patients with attention deficit hyperactivity disorder (ADHD) and their families. DATA SOURCES: Medline search 1966-1998 for professional articles using the following search terms--methylphenidate, children, adolescents, abuse; Internet search using MPD, Ritalin, and ADHD; and Paper Chase search using methylphenidate. DATA EXTRACTION: The available literature regarding potential abuse or diversion of MPD consists of case reports, review articles, newspaper articles, and a Drug Enforcement Administration (DEA) publication. All available literature sources were used. DATA SYNTHESIS: Although the media and DEA report significant abuse and diversion of prescribed MPD, a review of the available literature did not reveal data to substantiate these claims. Nonetheless, there are reasons to suspect that abuse and diversion occur. A potential contributing factor to abuse is the reported similarities in pharmacodynamics and pharmacokinetics between MPD and cocaine. Recommendations are made to decrease the possibility of abuse and diversion of prescribed MPD. CONCLUSION: A balanced middle ground must be found regarding the benefits of MPD and its abuse potential. Education of clinicians, patients, and family members is key in ensuring that MPD is used appropriately.

Seizure associated with olanzapine.

OBJECTIVE: To report a case of seizures in a patient who started receiving olanzapine, and to review seizure risk associated with antipsychotic use. CASE SUMMARY: A 31-year-old African-American woman with multiple psychiatric and medical disorders, including generalized seizure disorder, experienced seizure activity when switched from haloperidol to olanzapine. Olanzapine was discontinued, haloperidol was quickly titrated to the previous dose, and the patient was started on oral phenytoin with no further seizure activity noted. The patient remained seizure free and phenytoin was discontinued without complications. DISCUSSION: Determining causality in this case is complicated by the number of confounding factors that may have contributed to the occurrence of seizures in this patient. These factors include: (1) diagnosis of generalized seizure disorder, (2) diagnosis of organic mental disorder, (3) concurrent pharmacotherapy with medications implicated in lowering the seizure threshold, and (4) abrupt change in pharmacotherapy. The likelihood that a significant drug interaction precipitated seizure activity is doubtful. CONCLUSIONS: Considering all factors related to causality, the likelihood that olanzapine was responsible for precipitating seizure activity in this patient was judged possible. Although premarketing studies have indicated that olanzapine may be associated with minimal seizure liability, this case serves as a reminder that postmarketing surveillance of newly released medications is essential.