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Biomedical subjects

Michael J Sernyak

Publications and source records attributed to Michael J Sernyak.

13 recordsLinked to original sources

Generic fluoxetine and choice of antidepressant medication.

OBJECTIVE: In 2002 generic fluoxetine, the first generic product in a relatively expensive medication class, became available at Veterans Affairs medical centers at only 5% of its previous cost. This study examined whether its availability was associated with an increase in use compared with other medications. METHODS: All new starts of 15 antidepressants during fiscal year (FY) 2001 (before generic fluoxetine became available) and FY2003 were identified from administrative records, and the change in proportions of new starts across years was examined. RESULTS: Altogether, 55,673 patients had a new start on antidepressants in FY2001 and 48,002 had a new start in FY2003. The percentage of fluoxetine prescriptions (both branded and generic) rose only 1.2%--from 8.3% in FY2001 to 9.5% in FY2003. CONCLUSIONS: Only a small increase was found in the rate of new starts of fluoxetine in the year after its release as a low-cost generic. There appear to be untapped opportunities to realize savings for antidepressants with appropriate administrative mechanisms and incentives.

Choice Behavior↗

Metabolic monitoring for patients treated with antipsychotic medications.

OBJECTIVES: Metabolic side effects of antipsychotic treatment include weight gain, dyslipidemia and increased susceptibility to diabetes. Patients with schizophrenia have increased coronary heart disease mortality and reduced life expectancy. There is an urgent clinical need to monitor antipsychotic-treated patients for metabolic disturbance. Our objectives were to review published international monitoring guidelines, establish goals for metabolic monitoring, and make recommendations for practice. METHOD: We reviewed the major published consensus guidelines for metabolic monitoring of patients treated with antipsychotic medications and selectively reviewed practice guidelines for the management of diabetes, dyslipidemia, and hypertension. RESULTS: Patients with serious mental illness have markedly elevated rates of metabolic disturbance and limited access to general medical care. Monitoring, but not necessarily medical treatment of metabolic disorder, falls within the scope of psychiatric practice and should include screening for metabolic disturbance as well as tracking the effects of antipsychotic treatment. In addition, psychiatrists and psychiatric services should work toward facilitating patients' access to medical care. There is considerable consensus in the published guidelines. Areas of dissent include which patients to monitor, the utility of glucose tolerance testing, and the point at which to consider switching antipsychotics. CONCLUSION: We encourage clinicians to adopt a structured system for conducting and recording metabolic monitoring and to develop collaborations with family physicians, diabetes specialists, dieticians, and recreation therapists to facilitate appropriate medical care for antipsychotic-treated patients.

Antipsychotic Agents↗

Undiagnosed hyperglycemia in patients treated with atypical antipsychotics.

BACKGROUND: The use of atypical antipsychotics has been associated with abnormalities of glucose metabolism in patients with schizophrenia. This study was designed to determine the proportion of undiagnosed hyperglycemia in patients receiving a broad range of atypical antipsychotics. METHOD: All outpatients treated at an urban Veterans Affairs medical center who received a prescription for clozapine, risperidone, olanzapine, quetiapine, or ziprasidone were identified, and an attempt was made to obtain a fasting plasma glucose (FPG) test. Testing took place October 2000 to November 2002. Patients previously diagnosed as diabetic were excluded. RESULTS: Of the 647 patients who received antipsychotic prescriptions and were not diagnosed as diabetic, 494 (76.4%) had a random glucose result, while 153 (23.6%) had an FPG result. Within the FPG group, 107 (69.9%) had a normal FPG level, while 46 (30.1%) had an abnormally elevated FPG. There were no differences between these 2 groups in terms of race/ethnicity, age, body mass index, or comorbid diagnoses. However, significantly more patients receiving clozapine were found to have occult hyperglycemia (p = .001); no significant differences in the percentage of patients with FPG levels > or = 100 mg/dL and those with FPG levels < 100 mg/dL were observed for any of the other medications. CONCLUSION: Hyperglycemia is common in patients treated with atypical antipsychotics and thought to be euglycemic. Screening for elevated FPG is indicated for patients receiving atypical antipsychotics.

Ambulatory Care↗

Clinicians' reasons for antipsychotic coprescribing.

BACKGROUND: Prescribing more than 1 antipsychotic is common but has received little supportive evidence in the literature. This study was designed to systematically survey clinicians about their rationale for prescribing more than 1 antipsychotic for specific patients. METHOD: Patients with schizophrenia (diagnosed according to ICD-9 criteria from October 1, 1999, to September 30, 2000) at 2 Veterans Administration (VA) medical centers and their prescriptions for anti-psychotics (filled within the VA system from June 1, 2000, through September 30, 2000) were identified from administrative databases. Clinicians for each patient with more than 1 antipsychotic prescription were interviewed using a structured questionnaire. After summarizing offered explanations, we compared patients prescribed 2 atypicals with those prescribed an atypical and a conventional. RESULTS: The treatment of 66 patients was reviewed. The 4 most common reasons for coprescription were reducing positive symptoms (61%), reducing negative symptoms (20%), decreasing total amount of medication (9%), and reducing extrapyramidal symptoms (5%). In 65% of patients (41/63), psychiatric symptoms were thought to have been refractory to antipsychotic monotherapy. In 39% of patients (N = 26), antipsychotic coprescription was intended to be transitional, but in only 46% of these patients (N = 12) had this transition been completed after 6 to 12 months. CONCLUSION: Prescribers for patients receiving more than one antipsychotic were frequently able to cite plausible and specific target symptoms they were attempting to address with this practice.

Ambulatory Care↗

Risk adjustment in studies using administrative data.

Administrative data are increasingly used to evaluate service use and cost of treatments in "real world" settings. However, the degree to which administrative data can be used to risk-adjust for differences between nonrandomized groups receiving different treatments has not been studied. This study used data from a large randomized trial to determine whether administrative data describing previous utilization and cost are as good as clinical data in predicting future resource utilization and cost. Clinical data (symptoms, quality of life, pharmacological side effects) and administrative data (inpatient utilization and total cost) were obtained from a large randomized clinical trial comparing clozapine and haloperidol. The combination of administrative measures prior to randomization was the best predictor in a multiple regression model of service use in the year after randomization (adjusted r2 = 0.27-0.31). Models using administrative data alone predicted 24 to 28 percent of the variance of service use and costs, while clinical data predicted only 6 to 7 percent of the variation in the same dependent variables. In this analysis, administrative data about previous utilization and costs were far more successful than clinical data alone at predicting future utilization and costs and are therefore likely to be better risk adjusters in studies with nonrandomized comparison groups.

Adult↗

Use of system-wide outcomes monitoring data to compare the effectiveness of atypical neuroleptic medications.

OBJECTIVE: Outcomes monitoring data in a large health care system were used to evaluate the effectiveness of atypical neuroleptic medications in actual clinical practice. METHOD: National administrative data from the Department of Veterans Affairs were used to identify patients with schizophrenia who had no change in antipsychotic medication over a 3-month index period in 1999 and for whom Global Assessment of Functioning Scale ratings were available from both the index period and the following year (N=9,066). Analysis of covariance, including potentially confounding factors, was used to compare change in functioning scores between patients who continued to take the same medication and those whose medication was switched during the follow-up year. Among patients whose medication was switched, change in functioning scores was compared by whether patients received a conventional neuroleptic or each of the four then available atypical neuroleptics after the medication switch. RESULTS: Patients who continued to take the same medication (N=7,157, 78.9%) had improved functioning scores from the index period to the follow-up year, while patients whose medication was switched (N=1,909, 21.1%) had declining functioning scores (mean change in scores of 0.6% and -3.7%, respectively). Among the patients whose medication was switched, no significant differences in functioning were found between patients grouped by the new type of medication received. CONCLUSIONS: In this large administrative database, patients with schizophrenia whose neuroleptic medication was switched showed significantly less improvement in Global Assessment of Functioning Scale scores than patients who continued to take their original medication. No significant differences in functioning scores were found for patients whose medication was switched to any of the atypical neuroleptics.

Ambulatory Care↗

Prescribers' nonadherence to treatment guidelines for schizophrenia when prescribing neuroleptics.

Treatment guidelines are frequently not followed. The authors examined the neuroleptic prescribing practices of psychiatrists responsible for 47 patients with schizophrenia who were being treated at health centers of the Department of Veterans Affairs. For 22 of these patients, a medication change was indicated by guidelines previously endorsed by the prescriber; for 21 of these 22 patients, prescribers indicated that a change in neuroleptic would not be attempted; for 15 patients (71 percent), the reason given was the patient's refusal to change medication or the patient's noncompliance with medication treatment. The results suggest that patients' agreement with treatment guidelines should be taken into account in the evaluation of prescribers' use of such guidelines.

Antipsychotic Agents↗

Undiagnosed hyperglycemia in clozapine-treated patients with schizophrenia.

BACKGROUND: Clozapine has been demonstrated to be superior to typical neuroleptics in reducing refractory symptoms in patients with schizophrenia, but it has also been associated with hyperglycemia and diabetes mellitus. This study was designed to investigate the proportion of undiagnosed impaired fasting glucose and diabetes mellitus in patients prescribed clozapine at 8 Department of Veterans Affairs (VA) medical centers. METHOD: All patients diagnosed by the VA in New England with ICD-9 schizophrenia from Oct. 1, 1999, to Sept. 30, 2000, who received a prescription for clozapine were identified, and an attempt was made to obtain a fasting plasma glucose (FPG) test. All patients were also characterized as to whether they were diagnosed as diabetic prior to the screening FPG. Patients not previously diagnosed as diabetic were divided into 2 groups: normal FPG (< 110 mg/dL) and elevated FPG (>or= 110 mg/dL). Clinical and sociodemographic characteristics of the 2 groups were compared using chi-square and t tests. RESULTS: Overall, 121 patients were not previously diagnosed as diabetic and received an FPG. Ninety-three (77%) had a normal FPG, and 28 (23%) had an elevated plasma glucose-including 17% with impaired fasting glucose and 6% with diabetes. Patients with hyperglycemia were significantly older (p =.007) and more commonly codiagnosed with bipolar disorder (p =.04). CONCLUSION: Hyperglycemia was common in patients receiving clozapine who had not been previously diagnosed as diabetic. These patients should be considered a group at high risk to develop diabetes mellitus and deserve both close monitoring and early intervention at the first sign of the onset of either diabetes or impaired glucose tolerance.

Antipsychotic Agents↗

Association of diabetes mellitus with use of atypical neuroleptics in the treatment of schizophrenia.

OBJECTIVE: The development of both type I and type II diabetes after initiation of some atypical neuroleptics has been reported, primarily in studies involving small series of patients. This study used administrative data from a large national sample of patients with a diagnosis of schizophrenia to compare the prevalence of diabetes mellitus in patients receiving prescriptions for atypical and typical neuroleptics. METHOD: All outpatients with schizophrenia treated with typical and atypical neuroleptics over 4 months in 1999 in the Veterans Health Administration of the Department of Veterans Affairs (VA) were included in this study. Patients treated with atypical neuroleptics were those who received prescriptions for clozapine, olanzapine, risperidone, or quetiapine. Patients with a diagnosis of diabetes were also identified by using ICD-9 codes in VA administrative databases. The prevalence of diabetes mellitus across age groups and among patients receiving prescriptions for different atypical neuroleptics was examined with multiple logistic regression. RESULTS: A total of 38,632 patients were included in the study: 15,984 (41.4%) received typical neuroleptics and 22,648 (58.6%) received any atypical neuroleptic (1,207 [5.3%] received clozapine; 10,970 [48.4%], olanzapine; 955 [4.2%], quetiapine; and 9,903 [43.7%], risperidone; 387 patients received prescriptions for more than one atypical neuroleptic). When the effects of age were controlled, patients who received atypical neuroleptics were 9% more likely to have diabetes than those who received typical neuroleptics, and the prevalence of diabetes was significantly increased for patients who received clozapine, olanzapine, and quetiapine, but not risperidone. However, for patients less than 40 years old, all of the atypical neuroleptics were associated with a significantly increased prevalence of diabetes. CONCLUSIONS: In this large group of patients with schizophrenia, receipt of a prescription for atypical neuroleptics was significantly associated with diabetes mellitus.

Adult↗

Predictors of antipsychotic medication change.

Atypical antipsychotics account for more than 60% of antipsychotic prescriptions written for the treatment of schizophrenia. While switching from one antipsychotic to another is a dynamic process, there has been no research on individual patient and institutional characteristics that predict antipsychotic switching. VA national administrative data were used to identify patients (n = 9660) with schizophrenia maintained on antipsychotic medication. Logistic regression was used to identify predictors of medication switching. Independent variables included information about service utilization, sociodemographic and clinical variables as well as institutional characteristics. This model was repeated for more specific switches between classes of medications and between specific medications. High levels of outpatient and inpatient service use were the most powerful predictors of switching. Sociodemographic, institutional, diagnostic, and functional measures were also predictive in some cases. Controlling for independent sociodemographic, diagnostic, and functional measures, frequency of clinical contact was the most robust predictor of switching antipsychotics.

Activities of Daily Living↗