Richard R. Owen

Awareness of Illness in Schizophrenia and Outpatient Treatment Adherence

We present a brief measure of awareness of illness in schizophrenia and test whether awareness is related to perceived need for and adherence to outpatient psychiatric treatment. A prospective design assessed treatment adherence, awareness of the signs and symptoms of schizophrenia, symptoms, neurocognitive status, and substance abuse at baseline and 6-month follow-up in 89 persons with schizophrenia. Results indicate that persons with greater awareness perceived greater need for outpatient treatment and evidenced better adherence to outpatient treatment when adherence and awareness were measured concurrently. Awareness was not related to adherence at 6-month follow-up. In addition, neurocognitive impairment was associated with lower overall adherence to treatment when reported by collaterals at baseline and 6-month follow-up. Neurocognitive impairment was, however, associated with higher self-reported adherence to medication, which suggests that neurocognitive status may bias adherence reporting in persons with schizophrenia.

Measuring the quality of depression care in a large integrated health system.

Background. Guideline-based depression process measures provide a powerful way to monitor depression care and target areas needing improvement. Objectives. To assess the adequacy of depression care in the Veterans Health Administration (VHA) using guideline-based process measures derived from administrative and centralized pharmacy records, and to identify patient and provider characteristics associated with adequate depression care. Research Design. This is a cohort study of patients from 14 VHA hospitals in the Northeastern United States which relied on existing databases. Subject eligibility criteria: at least one depression diagnosis during 1999, neither schizophrenia nor bipolar disease, and at least one antidepressant prescribed in the VHA during the period of depression care profiling (June 1, 1999 through August 31, 1999). Depression care was evaluated with process measures defined from the 1997 VHA depression guidelines: antidepressant dosage and duration adequacy. We used multivariable regression to identify patient and provider characteristics predicting adequate care. Subjects. There were 12,678 patients eligible for depression care profiling. Results. Adequate dosage was identified in 90%; 45% of patients had adequate duration of antidepressants. Significant patient and provider characteristics predicting inadequate depression care were younger age (<65), black race, and treatment exclusively in primary care. Conclusions. Under-treatment of depression exists in the VHA, despite considerable mental health access and generous pharmacy benefits. Certain patient populations may be at higher risk for inadequate depression care. More work is needed to align current practice with best-practice guidelines and to identify optimal ways of using available data sources to monitor depression care quality.

Anxiety disorders increase risk for incident myocardial infarction in depressed and nondepressed Veterans Administration patients.

BACKGROUND Depression is a risk factor for incident myocardial infarction (MI), but little is known about the independent or additive risk from anxiety disorders. METHODS In a 7-year retrospective cohort design, we identified a cohort free of cardiovascular disease in fiscal years 1999 and 2000 that contained 96,612 patients between 25 and 80 years of age who had an International Classification of Diseases, Ninth Revision, Clinical Modification code indicating a diagnosis of depression in 2000 (baseline) and 259,387 patients without depression. Cox proportional hazards models stratified by depression were computed to test for a main effect of anxiety disorder unspecified, generalized anxiety disorder, panic disorder, social phobia, obsessive-compulsive disorder, and posttraumatic stress disorder (PTSD) on risk of incident MI. The models were adjusted for multiple MI risk factors and sociodemographics. RESULTS Depressed as compared to nondepressed Veterans Administration patients were at increased risk for incident MI (HR 1.39; 95% CI 1.34-1.45). In nondepressed patients those with anxiety disorder unspecified (HR 1.34; 95% CI 1.21-1.47), panic disorder (HR 1.43; 95% CI 1.11-1.83), and PTSD (HR 1.25; 95% CI 1.16-1.36) were at increased risk for incident MI. The independent risk associated with anxiety disorders was reduced in patients comorbid for depression. CONCLUSIONS In Veterans Administration patients free of heart disease in 1999 and 2000, those with depression, anxiety disorder unspecified, panic disorder, and PTSD were at increased risk of incident MI. Anxiety disorders are independent risk factors for MI. Depression partially accounts for the effect of anxiety disorders on risk of MI in patients with both conditions.

Monitoring depression care: in search of an accurate quality indicator.

Background:Linking process and outcomes is critical to accurately estimating healthcare quality and quantifying its benefits. Objectives:The objective of this study was to explore the relationship of guideline-based depression process measures with subsequent overall and psychiatric hospitalizations. Research Design:This is a retrospective cohort study during which we used administrative and centralized pharmacy records for sample identification, derivation of guideline-based process measures (antidepressant dosage and duration adequacy), and subsequent hospitalization ascertainment. Depression care was measured from June 1, 1999, through August 31, 1999. We used multivariable regression to evaluate the link between depression care and subsequent overall and psychiatric hospitalization, adjusting for patient age, race, sex, socioeconomic status, comorbid illness, and hospitalization in the prior 12 months. Subjects:We studied a total of 12,678 patients from 14 Northeastern VHA hospitals. Results:We identified adequate antidepressant dosage in 90% and adequate duration in 45%. Those with adequate duration of antidepressants were less likely to be hospitalized in the subsequent 12 months than those with inadequate duration (odds ratio [OR], .90; 95% confidence interval [CI], .81–1.00). Those with adequate duration of antidepressants were less likely to have a psychiatric hospitalization in the subsequent 12 months than those with inadequate duration (OR, .82; 95% CI, .69–.96). We did not demonstrate a significant link between dosage adequacy and subsequent overall or psychiatric hospitalization. Conclusions:Guideline-based depression process measures derived from centralized data sources offer an important method of depression care surveillance. Their accuracy in capturing depression care quality is supported by their link to healthcare utilization. Further work is needed to assess the effect of implementing these quality indicators on depression care.

Mutation screening of the Homer gene family and association analysis in schizophrenia

Homer proteins are a group of proteins that regulate group 1 metabotropic glutamate receptor function. As altered glutamate function has been implicated in many neuro psychiatric disorders, particularly schizophrenia, we have screened all three known Homer genes for sequence variation for use under the candidate gene association paradigm. We found seven SNPs, including three in exons. Of these, none was non‐synonymous. Allele frequencies of all the detected SNPs were estimated in DNA pools of 368 schizophrenics and 368 controls. Only one (Homer 1 IVS4 + 18A > G) was associated with schizophrenia in this sample, a finding confirmed by individual genotyping (P = 0.01). However, in our extended sample of 680 cases and 671 controls, the evidence for association diminished (P = 0.05). Our results suggest it is unlikely that sequence variants in the Homer genes contribute to the aetiology of schizophrenia, but the variants we identified are plausible candidates for other neuropsychiatric phenotypes.

A process for developing an implementation intervention: QUERI Series

BackgroundThis article describes the process used by the authors in developing an implementation intervention to assist VA substance use disorder clinics in adopting guideline-based practices for treating depression. This article is one in a Series of articles documenting implementation science frameworks and tools developed by the U.S. Department of Veterans Affairs (VA) Quality Enhancement Research Initiative (QUERI).MethodsThe process involves two steps: 1) diagnosis of site-specific implementation needs, barriers, and facilitators (i.e., formative evaluation); and 2) the use of multi-disciplinary teams of local staff, implementation experts, and clinical experts to interpret diagnostic data and develop site-specific interventions. In the current project, data were collected via observations of program activities and key informant interviews with clinic staff and patients. The assessment investigated a wide range of macro- and micro-level determinants of organizational and provider behavior.ConclusionThe implementation development process described here is presented as an optional method (or series of steps) to consider when designing a small scale, multi-site implementation study. The process grew from an evidence-based quality improvement strategy developed for – and proven efficacious in – primary care settings. The authors are currently studying the efficacy of the process across a spectrum of specialty care treatment settings.

Increased Risk of Myocardial Infarction in Depressed Patients With Type 2 Diabetes

OBJECTIVE To investigate major depressive disorder (MDD), which complicates the course of type 2 diabetes and is associated with an increased risk of cardiovascular disease and death. This risk may be due to a greater susceptibility for myocardial infarction (MI) in depressed patients with type 2 diabetes compared with nondepressed patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Veterans Administration electronic medical records were analyzed to identify a cohort free of cardiovascular disease in fiscal years 1999 and 2000, aged 25 to 80 years. ICD-9-CM codes were used to create a four-level risk group indicating 1) neither diabetes nor MDD (n = 214,749), 2) MDD alone (n = 77,568), 3) type 2 diabetes alone (n = 40,953), and 4) comorbid MDD and type 2 diabetes (n = 12,679). Age-adjusted Cox proportional hazards models were computed before and after adjusting for baseline sociodemographic and time-dependent covariates. RESULTS After adjusting for covariates, patients with type 2 diabetes alone and patients with MDD alone were at ∼30% increased risk for MI, and patients with type 2 diabetes and MDD were at 82% increased risk for MI (hazard ratio 1.82 [95% CI 1.69–1.97]) compared with patients without either condition. CONCLUSIONS Compared with patients with only diabetes or only MDD, individuals with type 2 diabetes and MDD are at increased risk for new-onset MI. Monitoring cardiovascular health in depressed patients with type 2 diabetes may reduce the risk of MI in this especially high-risk group.

An Instrument for Measurement of Outcomes of Care for Schizophrenia Issues in Development and Implementation

To advance effectiveness research in mental health, we need common, standardized, validated instruments that can be used easily in routine practice settings. The Schizophrenia Outcomes Module is a relatively brief, comprehensive instrumentfor monitoring and assessing the outcomes of treatment for schizophrenia in clinical care settings. The module was developed with the guidance of a multiinstitutional, multidisciplinary expert panel; the clinical and theoretical considerations that framed the expert panels deliberations and determined the modules content and characteristics are described Initialfield testing of the instrument involved longitudinal observation of 100 individuals with schizophrenia over a 6-month period. To our knowledge, it is the only brief and easily administered instrument that encompasses the four major outcome domains defined by the National Institute of Mental Healths Plan for Research on the Severely Mentally Ill. As such, it is a promising toolfor effectiveness research in schizophrenia.

Association of anxiety disorders and depression with incident heart failure.

Objective Depression has been associated with increased risk of heart failure (HF). Because anxiety is highly comorbid with depression, we sought to establish if anxiety, depression, or their co-occurrence is associated with incident HF. Methods A retrospective cohort (N = 236,079) including Veteran’s Administration patients (age, 50–80 years) free of cardiovascular disease (CVD) at baseline was followed up between 2001 and 2007. Cox proportional hazards models were computed to estimate the association between anxiety disorders alone, major depressive disorder (MDD) alone, and the combination of anxiety and MDD, with incident HF before and after adjusting for sociodemographics, CVD risk factors (Type 2 diabetes, hypertension, hyperlipidemia, obesity), nicotine dependence/personal history of tobacco use, substance use disorders (alcohol and illicit drug abuse/dependence), and psychotropic medication. Results Compared with unaffected patients, those with anxiety only, MDD only, and both disorders were at increased risk for incident HF in age-adjusted models (hazard ratio [HR] = 1.19 [ 95% confidence interval {CI} = 1.10–1.28], HR = 1.21 [95% CI = 1.13–1.28], and HR = 1.24 [95% CI = 1.17–1.32], respectively). After controlling for psychotropics in a full model, the association between anxiety only, MDD only, and both disorders and incident HF increased (HRs = 1.46, 1.56, and 1.74, respectively). Conclusions Anxiety disorders, MDD, and co-occurring anxiety and MDD are associated with incident HF in this large cohort of Veteran’s Administration patients free of CVD at baseline. This risk of HF is greater after accounting for protective effects of psychotropic medications. Prospective studies are needed to clarify the role of depression and anxiety and their pharmacological treatment in the etiology of HF.

Use of Electronic Medical Record Data for Quality Improvement in Schizophrenia Treatment

An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Administration (VHA) computer database (VistA) to monitor guideline performance for inpatient and outpatient treatment of schizophrenia. The authors also discuss preliminary results and their experience in applying these methods to monitor antipsychotic prescribing using the South Central VA Healthcare Network (SCVAHCN) Data Warehouse as a tool for quality improvement.