The association between area-level residential instability and gray matter volume changes

Introduction

Area-level residential instability (ARI), an index of social fragmentation, has been shown to explain the association between urbanicity and psychosis. Urban upbringing has been shown to be associated with decreased gray matter volumes (GMV)s of brain regions corresponding to the right caudal middle frontal gyrus (CMFG) and rostral anterior cingulate cortex (rACC).

Objectives

We hypothesize that greater ARI will be associated with reduced right posterior CMFG and rACC GMVs.

Methods

Data were collected at baseline as part of the North American Prodrome Longitudinal Study. Counties where participants resided during childhood were geographically coded using the US Censuses to area-level factors. ARI was defined as the percentage of residents living in a different house five years ago. Generalized linear mixed models tested associations between ARI and GMVs.

Results

This study included 29 HC and 64 CHR-P individuals who were aged 12 to 24 years, had remained in their baseline residential area, and had magnetic resonance imaging scans. ARI was associated with reduced right CMFG (adjusted β = -0.258; 95% CI = -0.502 – -0.015) and right rACC volumes (adjusted β = -0.318; 95% CI = -0.612 – -0.023). The interaction terms (ARI X diagnostic group) in the prediction of both brain regions were not significant, indicating that the relationships between ARI and regional brain volumes held for both CHR-P and HCs.

Conclusions

Like urban upbringing, ARI may be an important social environmental characteristic that adversely impacts brain regions related to schizophrenia.

Disclosure

No significant relationships.

Applying implementation science in mental health services: Technical assistance cases from the Mental Health Technology Transfer Center (MHTTC) network

OBJECTIVE

Critical gaps exist between implementation of effective interventions and the actual services delivered to people living with mental disorders. Many technical assistance (TA) efforts rely on one-time trainings of clinical staff and printed guidelines that alone are not effective in changing clinical practice. The Mental Health Technology Transfer Center (MHTTC) Network uses implementation science to accelerate the use of evidence-based practices (EBPs), improve performance, and bring about systems-level change.

METHOD

Four case examples illustrate how MHTTCs employ the Exploration-Preparation-Implementation-Sustainment (EPIS) implementation framework and intensive implementation strategies to educate clinicians, manage change, and improve processes. These examples include implementing motivational interviewing, cognitive-behavioral therapy for people with psychosis, strategies to decrease the no show rate for virtual appointments, and school mental health systems development.

RESULTS

From Preparation through Sustainment, MHTTCs successfully employed implementation strategies including learning communities, audit and feedback, and coaching to bring about change. Each project attended to inner and outer contexts to eliminate barriers. The examples also show the benefit of integrating process improvement alongside implementation.

CONCLUSIONS

The MHTTCs are a model for using implementation science to design technical assistance that leads to more successful practical execution of EBPs; thus reducing the gap between research and practice.

Effects of electronic psychiatric consultations on primary care provider perceptions of mental health care: Survey results from a randomized evaluation

BACKGROUND

Primary care is the main point-of-entry for identifying and treating mental health problems. This research examines the effect of a new model of supporting primary care providers (PCPs) treating mental health disorders, the electronic consultation (eConsults), a standard process for communication between PCPs and psychiatrists through an electronic health records system.

METHODS

A cluster-randomized evaluation of the psychiatric eConsults model, as implemented in a large integrated delivery system. Web survey data before and after the implementation of psychiatric eConsults were collected on PCPs' perceptions of their capability and skill to deliver mental health services, and analyzed with linear regression models.

RESULTS

At baseline PCPs had mixed assessments of perceived support for delivering mental health services and of the availability of specialist consultations, but had relatively high perceived self-efficacy and skill for identifying, diagnosing and treating depression. PCPs in the Treatment group had statistically significant 18%, 13%, and 16% improvements in perceived support for diagnosing mental health problems, making treatment decisions, and changing treatment regimens, respectively; and 24% improved perceived ease of access to consultations for mental health, compared to the Control group. Evidence of effects on self-efficacy and perceived skill around depression was more limited.

CONCLUSIONS

The psychiatric eConsults model improved PCPs' perceptions of support for delivering mental health care and perceptions of access to specialist consultations.

IMPLICATIONS

Electronic consultations may be a promising approach to support the delivery of mental health services in primary care settings.

LEVEL OF EVIDENCE

Pre- and post-intervention web surveys from a cluster-randomized trial.

Excess mortality in persons with severe mental disorders: a multilevel intervention framework and priorities for clinical practice, policy and research agendas

Excess mortality in persons with severe mental disorders (SMD) is a major public health challenge that warrants action. The number and scope of truly tested interventions in this area remain limited, and strategies for implementation and scaling up of programmes with a strong evidence base are scarce. Furthermore, the majority of available interventions focus on a single or an otherwise limited number of risk factors. Here we present a multilevel model highlighting risk factors for excess mortality in persons with SMD at the individual, health system and socio-environmental levels. Informed by that model, we describe a comprehensive framework that may be useful for designing, implementing and evaluating interventions and programmes to reduce excess mortality in persons with SMD. This framework includes individual-focused, health system-focused, and community level and policy-focused interventions. Incorporating lessons learned from the multilevel model of risk and the comprehensive intervention framework, we identify priorities for clinical practice, policy and research agendas.

Use of Pooled State Administrative Data for Mental Health Services Research

State systems are a rich, albeit challenging, laboratory for policy-relevant services research studies. State mental health authorities routinely devote resources to collect data for state planning and reporting purposes. However, these data are rarely used in cross-state comparisons to inform state or federal policy development. In 2008, in response to key recommendations from the National Institute of Mental Health (NIMH) Advisory Council's "The Road Ahead: Research Partnership to Transform Services," (http://www.nimh.nih.gov/about/advisory-boards-and-groups/namhc/reports/road-ahead.pdf), NIMH issued a request for applications (RFA) to support studies on the impact of state policy changes on access, cost, quality and outcomes of care for individuals with mental disorders. The purpose of the RFA was to bridge the divide between research and policy by encouraging research that used state administrative data across states, and to address significant state-defined health policy initiatives. Five projects involving eight states were selected through peer review for funding. Projects began in 2009 and were funded for 3 years. This report provides a brief description of the five projects, followed by an analysis of the impact, challenges, and lessons learned from these policy-partnered studies. We conclude by offering suggestions on ways to use state administrative data for informing state health policies, which is especially timely given national and state changes in the structure and financing of healthcare.

Use of mobile technology in a community mental health setting

INTRODUCTION

mHealth holds promise in transforming care for people with serious mental illness (SMI) and other disadvantaged populations. However, information about the rates of smartphone ownership and usage of mobile health apps among people with SMI is limited. The objective of this research is to examine the current ownership, usage patterns, and existing barriers to mobile health interventions for people with SMI treated in a public sector community mental health setting and to compare the findings with national usage patterns from the general population.

METHODS

A survey was conducted to determine rates of ownership of smartphone devices among people with SMI. Surveys were administered to 100 patients with SMI at an outpatient psychiatric clinic. Results were compared with respondents to the 2012 Pew Survey of mobile phone usage.

RESULTS

A total of 85% of participants reported that they owned a cell phone; of those, 37% reported that they owned a smartphone, as compared with 53% of respondents to the Pew Survey and 44% of socioeconomically disadvantaged respondents to the Pew Survey.

DISCUSSION

While cell phone ownership is common among people with SMI, their adoption of smartphone technology lags behind that of the general population primarily due to cost barriers. Efforts to use mHealth in these populations need to recognize current mobile ownership patterns while planning for anticipated expansion of new technologies to poor populations as cost barriers are reduced in the coming years.

The epidemiology of diabetes in psychotic disorders

Diabetes is highly prevalent in people with psychotic disorders, including schizophrenia and schizoaffective disorders. Exact prevalence is difficult to estimate, since diabetes is often underdiagnosed in people with psychosis. Results of several studies show that the prevalence of diabetes exceeds that in the general population, with documented prevalence in those with psychosis ranging from 1·26% to 50% across studies (median 13%). The association between diabetes and psychosis is complex and multifactorial. Many of the traditional risk factors for disease have increased prevalence in patients with psychotic disorders. In addition to these traditional risk factors, people with psychosis have unique risks that might have additive or even synergistic effects. These risks include the use of antipsychotic medication, the effects of adverse social determinants of health, and genetic loading. Despite evidence that rates of diabetes are increased in individuals with psychosis, many of these patients are not diagnosed or treated, resulting in increased diabetes-associated morbidity and mortality. Specific patient factors, provider issues, and systems-level factors contribute to the treatment gap. Interventions at both the clinical and public health levels are needed to successfully address this problem.

Involvement in the criminal justice system among attendees of an urban mental health center

Background

Incarceration rates for people with serious mental illnesses are higher than the general population. However, research has been limited in regards to patterns of incarcerations for patients treated in public mental health settings. This study examines differences in lifetime imprisonment rates among patients of a U.S. urban Community Mental Health Center (CMHC) and national samples, within gender, race and education subgroups.

Findings

Participants were interviewed about their criminal history. Analyses compared lifetime incarceration history in this sample to a group with similar demographics. A majority (69.6%) of the sample had been incarcerated and 34.0% had been incarcerated with a felony charge as compared with 2.7% expected for the control sample.

Conclusion

Within every racial and educational subgroup, incarceration rates were high compared to the general population. Though racial and educational factors partly explained added incarceration risk, presence of a serious mental disorder heightened the incarceration risk within all strata in this public sector setting.

Mental health-related stigma in health care and mental health-care settings

This Review considers the evidence for mental-health-related stigma in health-care and mental-health-care settings. Do mental-health-care and other health-care professionals stigmatise people using their services? If so, what are the effects on quality of mental and physical health care? How can stigma and discrimination in the context of health care be reduced? We show that the contact mental-health-care professionals have with people with mental illness is associated with positive attitudes about civil rights, but does not reduce stigma as does social contact such as with friends or family members with mental illness. Some evidence suggests educational interventions are effective in decreasing stigma especially for general health-care professionals with little or no formal mental health training. Intervention studies are needed to underpin policy; for instance, to decrease disparity in mortality associated with poor access to physical health care for people with mental illness compared with people without mental illness.

Primary health care experiences of hispanics with serious mental illness: a mixed-methods study

This mixed-methods study examines the primary health care experiences of Hispanic patients with serious mental illness. Forty patients were recruited from an outpatient mental health clinic. Participants reported a combination of perceived discrimination and stigmatization when receiving medical care. They rated the quality of chronic illness care as poor and reported low levels of self-efficacy and patient activation. These indicators were positively associated with how patients viewed their relationships with primary care providers. A grounded model was developed to describe the structural, social, and interpersonal processes that shaped participants' primary care experiences.

Collaborative care approaches for people with severe mental illness

BACKGROUND

Collaborative care for severe mental illness (SMI) is a community-based intervention, which typically consists of a number of components. The intervention aims to improve the physical and/or mental health care of individuals with SMI.

OBJECTIVES

To assess the effectiveness of collaborative care approaches in comparison with standard care for people with SMI who are living in the community. The primary outcome of interest was psychiatric admissions.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group Specialised register in April 2011. The register is compiled from systematic searches of major databases, handsearches of relevant journals and conference proceedings. We also contacted 51 experts in the field of SMI and collaborative care.

SELECTION CRITERIA

Randomised controlled trials (RCTs) described as collaborative care by the trialists comparing any form of collaborative care with 'standard care' for adults (18+ years) living in the community with a diagnosis of SMI, defined as schizophrenia or other types of schizophrenia-like psychosis (e.g. schizophreniform and schizoaffective disorders), bipolar affective disorder or other types of psychosis.

DATA COLLECTION AND ANALYSIS

Two review authors worked independently to extract and quality assess data. For dichotomous data, we calculated the risk ratio (RR) with 95% confidence intervals (CIs) and we calculated mean differences (MD) with 95% CIs for continuous data. Risk of bias was assessed.

MAIN RESULTS

We included one RCT (306 participants; US veterans with bipolar disorder I or II) in this review. We did not find any trials meeting our inclusion criteria that included people with schizophrenia. The trial provided data for one comparison: collaborative care versus standard care. All results are 'low or very low quality evidence'.Data indicated that collaborative care reduced psychiatric admissions at year two in comparison to standard care (n = 306, 1 RCT, RR 0.75, 95% CI 0.57 to 0.99).The sensitivity analysis showed that the proportion of participants psychiatrically hospitalised was lower in the intervention group than the standard care group in year three: 28% compared to 38% (n = 330, 1 RCT, RR 0.72, 95% CI 0.53 to 0.99).In comparison to the standard care group, collaborative care significantly improved the Mental Health Component (MHC) of quality of life at the three-year follow-up, (n = 306, 1 RCT, MD 3.50, 95% CI 1.80 to 5.20). The Physical Health Component (PHC) of the quality of life measure at the three-year follow-up did not differ significantly between groups (n = 306, 1 RCT, MD 0.50, 95% CI 0.91 to 1.91).Direct intervention (all-treatment) costs of collaborative care at the three-year follow-up did not differ significantly from standard care (n = 306, 1 RCT, MD -$2981.00, 95% CI $16934.93 to $10972.93). The proportion of participants leaving the study early did not differ significantly between groups (n = 306, 1 RCT, RR 1.71, 95% CI 0.77 to 3.79). There is no trial-based information regarding the effect of collaborative care for people with schizophrenia.No statistically significant differences were found between groups for number of deaths by suicide at three years (n = 330, 1 RCT, RR 0.34, 95% CI 0.01 to 8.32), or the number of participants that died from all other causes at three years (n = 330, 1 RCT, RR 1.54, 95% CI 0.65 to 3.66).

AUTHORS' CONCLUSIONS

The review did not identify any studies relevant to care of people with schizophrenia and hence there is no evidence available to determine if collaborative care is effective for people suffering from schizophrenia or schizophreniform disorders. There was however one trial at high risk of bias that suggests that collaborative care for US veterans with bipolar disorder may reduce psychiatric admissions at two years and improves quality of life (mental health component) at three years, however, on its own it is not sufficient for us to make any recommendations regarding its effectiveness. More large, well designed, conducted and reported trials are required before any clinical or policy making decisions can be made.

Do race, ethnicity, and psychiatric diagnoses matter in the prevalence of multiple chronic medical conditions?

BACKGROUND

The proportion of people in the United States with multiple chronic medical conditions (MCMC) is increasing. Yet, little is known about the relationship that race, ethnicity, and psychiatric disorders have on the prevalence of MCMCs in the general population.

METHODS

This study used data from wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (N=33,107). Multinomial logistic regression models adjusting for sociodemographic variables, body mass index, and quality of life were used to examine differences in the 12-month prevalence of MCMC by race/ethnicity, psychiatric diagnosis, and the interactions between race/ethnicity and psychiatric diagnosis.

RESULTS

Compared to non-Hispanic Whites, Hispanics reported lower odds of MCMC and African Americans reported higher odds of MCMC after adjusting for covariates. People with psychiatric disorders reported higher odds of MCMC compared with people without psychiatric disorders. There were significant interactions between race and psychiatric diagnosis associated with rates of MCMC. In the presence of certain psychiatric disorders, the odds of MCMC were higher among African Americans with psychiatric disorders compared to non-Hispanic Whites with similar psychiatric disorders.

CONCLUSIONS

Our study results indicate that race, ethnicity, and psychiatric disorders are associated with the prevalence of MCMC. As the rates of MCMC rise, it is critical to identify which populations are at increased risk and how to best direct services to address their health care needs.

Uninsurance among nonelderly adults with and without frequent mental and physical distress in the United States

OBJECTIVES

This research describes uninsurance rates over time among nonelderly adults in the United States with or without frequent physical and mental distress and provides estimates of uninsurance by frequent mental distress status and sociodemographic characteristics nationally and by state.

METHODS

Data from the 1993 through 2009 Behavioral Risk Factor Surveillance System, a telephone survey that uses random-digit dialing, were used to examine the prevalence of uninsurance among nearly 3 million respondents by self-report of frequent physical and frequent mental distress and sociodemographic characteristics, response year, and state of residence.

RESULTS

After adjustment for sociodemographic characteristics, uninsurance among adults aged 18 to 64 years was markedly higher among those with frequent mental distress only (22.6%) and those with both frequent mental and frequent physical distress (21.8%) than among those with frequent physical distress only (17.7%). The prevalence of uninsurance did not differ markedly between those with only frequent mental distress and those with both frequent mental distress and frequent physical distress. The prevalence of uninsurance among those with frequent mental distress only and those with neither frequent mental distress nor frequent physical distress increased significantly over time.

CONCLUSIONS

Uninsurance rates among nonelderly adults with frequent mental distress were disproportionately high. The results of this analysis can be used as baseline data to assess whether implementation of the Affordable Care Act is accompanied by changes in health care access, utilization, and self-reported measures of health, particularly among those with mental illness.

Barriers to mental health treatment: results from the National Comorbidity Survey Replication

BACKGROUND

The aim was to examine barriers to initiation and continuation of treatment among individuals with common mental disorders in the US general population.

METHOD

Respondents in the National Comorbidity Survey Replication with common 12-month DSM-IV mood, anxiety, substance, impulse control and childhood disorders were asked about perceived need for treatment, structural barriers and attitudinal/evaluative barriers to initiation and continuation of treatment.

RESULTS

Low perceived need was reported by 44.8% of respondents with a disorder who did not seek treatment. Desire to handle the problem on one's own was the most common reason among respondents with perceived need both for not seeking treatment (72.6%) and for dropping out of treatment (42.2%). Attitudinal/evaluative factors were much more important than structural barriers both to initiating (97.4% v. 22.2%) and to continuing (81.9% v. 31.8%) of treatment. Reasons for not seeking treatment varied with illness severity. Low perceived need was a more common reason for not seeking treatment among individuals with mild (57.0%) than moderate (39.3%) or severe (25.9%) disorders, whereas structural and attitudinal/evaluative barriers were more common among respondents with more severe conditions.

CONCLUSIONS

Low perceived need and attitudinal/evaluative barriers are the major barriers to treatment seeking and staying in treatment among individuals with common mental disorders. Efforts to increase treatment seeking and reduce treatment drop-out need to take these barriers into consideration as well as to recognize that barriers differ as a function of sociodemographic and clinical characteristics.

Collaborative planning approach to inform the implementation of a healthcare manager intervention for Hispanics with serious mental illness: a study protocol

BACKGROUND

This study describes a collaborative planning approach that blends principles of community-based participatory research (CBPR) and intervention mapping to modify a healthcare manager intervention to a new patient population and provider group and to assess the feasibility and acceptability of this modified intervention to improve the physical health of Hispanics with serious mental illness (SMI) and at risk for cardiovascular disease (CVD).

METHODS

The proposed study uses a multiphase approach that applies CBPR principles and intervention-mapping steps--an intervention-planning approach--to move from intervention planning to pilot testing. In phase I, a community advisory board composed of researchers and stakeholders will be assembled to learn and review the intervention and make initial modifications. Phase II uses a combination of qualitative methods--patient focus groups and stakeholder interviews--to ensure that the modifications are acceptable to all stakeholders. Phase III uses results from phase II to further modify the intervention, develop an implementation plan, and train two care managers on the modified intervention. Phase IV consists of a 12-month open pilot study (N = 30) to assess the feasibility and acceptability of the modified intervention and explore its initial effects. Lastly, phase V consists of analysis of pilot study data and preparation for future funding to develop a more rigorous evaluation of the modified intervention.

DISCUSSION

The proposed study is one of the few projects to date to focus on improving the physical health of Hispanics with SMI and at risk for CVD by using a collaborative planning approach to enhance the transportability and use of a promising healthcare manager intervention. This study illustrates how blending health-disparities research and implementation science can help reduce the disproportionate burden of medical illness in a vulnerable population.

Metabolic testing rates in 3 state Medicaid programs after FDA warnings and ADA/APA recommendations for second-generation antipsychotic drugs

CONTEXT

In 2003, the Food and Drug Administration (FDA) required a warning on diabetes risk for second-generation antipsychotic (SGA) drugs. The American Diabetes Association (ADA) and American Psychiatric Association (APA) recommended glucose and lipid testing for all patients starting to receive SGA drugs.

OBJECTIVE

To characterize associations between the combined warnings and recommendations and baseline metabolic testing and SGA drug selection.

DESIGN

Interrupted time-series analysis.

SETTING

California, Missouri, and Oregon. Patients A total of 109 451 individuals receiving Medicaid who began taking SGA medication and a control cohort of 203 527 patients who began taking albuterol but did not receive antipsychotic medication.

INTERVENTIONS

Prewarning and postwarning trends in metabolic testing were compared using laboratory claims for the cohort collected January 1, 2002, through December 31, 2005. Changes in SGA prescribing practices were similarly evaluated.

MAIN OUTCOME MEASURES

Monthly rates of baseline serum glucose and lipid testing for SGA-treated and propensity-matched albuterol-treated patients and monthly share of new prescriptions for each SGA drug.

RESULTS

Initial testing rates for SGA-treated patients were low (glucose, 27%; lipids, 10%). The warning was not associated with an increase in glucose testing among SGA-treated patients and was associated with only a marginal increase in lipid testing rates (1.7%; P = .02). Testing rates and trends in SGA-treated patients were not different from background rates observed in the albuterol control group. New prescriptions of olanzapine (higher metabolic risk) declined during the warning period (annual share decline, 19.9%; P < .001). New prescriptions of aripiprazole (lower metabolic risk) increased during the warning period (share increase, 12.1%; P < .001) but may be attributable to the elimination of prior authorization in California during the same time frame. Quetiapine, risperidone, and ziprasidone use were not associated with the warning.

CONCLUSIONS

In a Medicaid-receiving population, baseline glucose and lipid testing for SGA-treated patients was infrequent and showed little change following the diabetes warning and monitoring recommendations. A change in SGA drug selection consistent with intentions to reduce metabolic risk was observed.

Dropout from outpatient mental health care in the United States

OBJECTIVE

Although mental health treatment dropout is common, patterns and predictors of dropout are poorly understood. This study explored patterns and predictors of mental health treatment dropout in a nationally representative sample.

METHODS

Data were from the National Comorbidity Survey Replication, a nationally representative household survey. Respondents who had received mental health treatment in the 12 months before the interview (N=1,664) were asked about dropout, which was defined as quitting treatment before the provider wanted them to stop. Cross-tabulation and discrete-time survival analyses were used to identify predictors.

RESULTS

Approximately one-fifth (22%) of patients quit treatment prematurely. The highest dropout rate was from treatment received in the general medical sector (32%), and the lowest was from treatment received by psychiatrists (15%). Dropout rates were intermediate from treatment in the human services sector (20%) and among patients seen by nonpsychiatrist mental health professionals (19%). Over 70% of all dropout occurred after the first or second visits. Mental health insurance was associated with low odds of dropout (odds ratio=.6, 95% confidence interval=.4-.9). Psychiatric comorbidity was associated with a trend toward dropout. Several patient characteristics differentially predicted dropout across treatment sectors and in early and later phases of treatment.

CONCLUSIONS

Roughly one-fifth of adults in mental health treatment dropped out before completing the recommended course of treatment. Dropout was most common in the general medical sector and varied by patient characteristics across treatment sectors. Interventions focused on high-risk patients and sectors that have higher dropout rates will likely be required to reduce the large proportion of patients who prematurely terminate treatment.

Dropout from outpatient mental health care in the United States

OBJECTIVE

Although mental health treatment dropout is common, patterns and predictors of dropout are poorly understood. This study explored patterns and predictors of mental health treatment dropout in a nationally representative sample.

METHODS

Data were from the National Comorbidity Survey Replication, a nationally representative household survey. Respondents who had received mental health treatment in the 12 months before the interview (N=1,664) were asked about dropout, which was defined as quitting treatment before the provider wanted them to stop. Cross-tabulation and discrete-time survival analyses were used to identify predictors.

RESULTS

Approximately one-fifth (22%) of patients quit treatment prematurely. The highest dropout rate was from treatment received in the general medical sector (32%), and the lowest was from treatment received by psychiatrists (15%). Dropout rates were intermediate from treatment in the human services sector (20%) and among patients seen by nonpsychiatrist mental health professionals (19%). Over 70% of all dropout occurred after the first or second visits. Mental health insurance was associated with low odds of dropout (odds ratio=.6, 95% confidence interval=.4-.9). Psychiatric comorbidity was associated with a trend toward dropout. Several patient characteristics differentially predicted dropout across treatment sectors and in early and later phases of treatment.

CONCLUSIONS

Roughly one-fifth of adults in mental health treatment dropped out before completing the recommended course of treatment. Dropout was most common in the general medical sector and varied by patient characteristics across treatment sectors. Interventions focused on high-risk patients and sectors that have higher dropout rates will likely be required to reduce the large proportion of patients who prematurely terminate treatment.

Impact of socioeconomic, behavioral and clinical risk factors on mortality

This study investigates the relative contributions of socioeconomic status (SES), behavioral and clinical risk factors on mortality. The Third National Health and Nutrition Survey Linked Mortality File was used to examine the association of SES (race, insurance, education, income), behavioral (smoking, obesity, physical activity), and clinical (elevated blood pressure, triglyceride level, lipid levels, C-reactive protein (CRP)) risk factors with 6-12-year all-cause mortality. Respondents were stratified by known chronic diseases into one of the following categories: no chronic disease, non-cardiovascular chronic disease, cardiovascular disease, and diabetes. The overall weighted mortality rate was 9.5% with the highest mortality rate among diabetics. Race, insurance coverage, income, smoking status, inadequate physical activity, elevated blood pressure and elevated CRP were independently associated with mortality in the overall population. When stratified by chronic disease, SES factors remained associated with mortality, most strongly in the healthy population. Current smoking and inadequate physical activity were also associated with mortality across disease groups while clinical risk factors were less consistent. SES factors, health behaviors and clinical risk factors were all associated with mortality even when baseline health status and chronic diseases are taken into account. Efforts to reduce mortality will require a multi-faceted approach incorporating healthy behaviors and accessible health care systems in addition to clinical advances.

Can psychiatry cross the quality chasm? Improving the quality of health care for mental and substance use conditions

In 2001, a seminal Institute of Medicine report, Crossing the Quality Chasm: A New Health System for the 21st Century, put forth a comprehensive strategy for improving the quality of U.S. health care. This strategy attained considerable traction within the overall U.S. health care system and subsequent attention in the mental health community as well. A new Institute of Medicine report, Improving the Quality of Health Care for Mental and Substance Use Conditions, examines the quality chasm strategy in light of the distinctive features of mental and substance use health care, including concerns about patient decision-making abilities and coercion into care, a less developed quality measurement and improvement infrastructure, lagging use of information technology and participation in the development of the National Health Information Infrastructure, greater separations in care delivery accompanied by more restrictions on sharing clinical information, a larger number of provider types licensed to diagnose and treat, more solo practice, and a differently structured marketplace. This article summarizes the Institute of Medicine's analysis of these issues and recommendations for improving mental and substance use health care and discusses the implications for psychiatric practice and related advocacy efforts of psychiatrists, psychiatric organizations, and other leaders in mental and substance use health care.

Disparities in antidepressant treatment in Medicaid elderly diagnosed with depression

OBJECTIVES

To determine whether there were racial or ethnic disparities in the use of antidepressants in low-income elderly patients insured by Medicaid.

DESIGN

Examination of 1998 Medicaid claims data.

SETTING

Centers for Medicare and Medicaid Services Medicaid claims data for five U.S. states.

PARTICIPANTS

All Medicaid recipients aged 65 to 84 with a diagnosis of depression.

MEASUREMENTS

Treatment versus no treatment; in those treated, treatment with drugs was classified as old- or new-generation antidepressants.

RESULTS

In 1998, 7,339 unique individuals aged 65 to 84 had at least one outpatient encounter with depression as the primary diagnosis. Nearly one in four (24.2%) received no antidepressant drug therapy, and 22% received neither psychotherapy nor an antidepressant. African-American individuals were substantially more likely to be untreated (37.1%) than Hispanic (23.6%), white (22.4%), or Asian (13.8%) individuals. In logistic regression models adjusting for sex, state, long-term care status, and age group, African Americans with a primary diagnosis of depression were almost twice as likely as whites not to receive an antidepressant within the study period (odds ratio=1.91, 95% confidence interval=1.62-2.24). Patients in long-term care facilities and those aged 65 to 74 were less likely to receive treatment.

CONCLUSION

Substantial numbers of elderly Medicaid enrollees with a primary diagnosis of depression did not receive antidepressants or behavioral therapy. This gap in care disproportionately affected African-American patients.

Parental depression, child mental health problems, and health care utilization

BACKGROUND

Small controlled studies suggest that depression and other mental health problems are more common in children of parents with depression than in children of parents without depression.

OBJECTIVES

This article examines relationships between parental depression and children's mental health problems and health care utilization in a nationally representative household sample of parents and their children.

RESEARCH DESIGN

Cross sectional comparisons of sociodemographic characteristics, mental health problems and health expenditures of children whose parents either do or do not report depression in the 1997 Medical Expenditure Panel Survey data.

SUBJECTS

A nationally representative sample of children, 3 to 18 years of age (n = 8,360) with one or more parents living in the household.

MEASURES

Mental health problems, total health expenditures, and mental health expenditures.

RESULTS

Children of parents with depression were approximately twice as likely as children of parents without depression to have a variety of mental health problems and were 2.8 times more likely to use mental health services in adjusted analyses. Among children with health and mental health expenditures, those whose parents report depression had significantly higher mean total annual child health expenditures ($282 vs. $214, t = 3.5, P = 0.0006) and child mental health expenditures ($513 vs. $338, t = 2.0, P = 0.05) than children whose parents did not report depression.

CONCLUSIONS

Children of parents with depression are at increased risk for a range of health problems. Parental depression is also related to an increased child health and mental health service utilization and expenditure.

National trends in the use of outpatient psychotherapy

OBJECTIVE

This article reports recent trends in the use of outpatient psychotherapy in the United States.

METHOD

Data from the household sections of the 1987 National Medical Expenditure Survey and the 1997 Medical Expenditure Panel Survey were analyzed. Trends in the rate of psychotherapy use from these nationally representative samples are presented by age, sex, race/ethnicity, marital status, education, employment status, and income. Psychotherapy users are compared over time by provider specialty, concomitant psychotropic medication use, number of annual visits, and costs. In addition, trends in payment source and primary diagnosis are assessed for psychotherapy visits.

RESULTS

Between 1987 and 1997, there was no statistically significant change in the overall rate of psychotherapy use (3.2 per 100 persons in 1987 and 3.6 per 100 in 1997). However, significant increases were observed in psychotherapy use by adults aged 55-64 years and by unemployed adults. Among psychotherapy patients, there was a marked increase in the use of antidepressant medications (14.4% to 48.6%), mood stabilizers (5.3% to 14.5%), stimulants (1.9% to 6.4%), and psychotherapy provided by physicians (48.1% to 64.7%). A smaller proportion of patients made more than 20 psychotherapy visits in 1997 (10.3%) than in 1987 (15.7%). Over this period, psychotherapy visits for mood disorders became more common. In 1997, 9.7 million Americans spent $5.7 billion on outpatient psychotherapy.

CONCLUSIONS

From 1987 to 1997, access to psychotherapy in the United States remained constant overall but was characterized by increased use by some socioeconomically disadvantaged groups. However, the number of visits per user markedly decreased during this period. Psychotherapy was increasingly administered by physicians and provided in conjunction with psychotropic medications. These changes occurred during a period of expansion in the number of available psychotropic medications and growth in managed behavioral health care.

National trends in the outpatient treatment of depression

CONTEXT

Recent advances in pharmacotherapy and changing health care environments have focused increased attention on trends in outpatient treatment of depression.

OBJECTIVE

To compare trends in outpatient treatment of depressive disorders in the United States in 1987 and 1997.

DESIGN AND SETTING

Analysis of service utilization data from 2 nationally representative surveys of the US general population, the 1987 National Medical Expenditure Survey (N = 34 459) and the 1997 Medical Expenditure Panel Survey (N = 32 636).

PARTICIPANTS

Respondents who reported making 1 or more outpatient visits for treatment of depression during that calendar year.

MAIN OUTCOME MEASURES

Rate of treatment, psychotropic medication use, psychotherapy, number of outpatient treatment visits, type of health care professional, and source of payment.

RESULTS

The rate of outpatient treatment for depression increased from 0.73 per 100 persons in 1987 to 2.33 in 1997 (P<.001). The proportion of treated individuals who used antidepressant medications increased from 37.3% to 74.5% (P<.001), whereas the proportion who received psychotherapy declined (71.1% vs 60.2%, P =.006). The mean number of depression treatment visits per user declined from 12.6 to 8.7 per year (P =.05). An increasingly large proportion of patients were treated by physicians for their condition (68.9% vs 87.3%, P<.001), and treatment costs were more often covered by third-party payers (39.3% to 55.2%, P<.001).

CONCLUSIONS

Between 1987 and 1997, there was a marked increase in the proportion of the population who received outpatient treatment for depression. Treatment became characterized by greater involvement of physicians, greater use of psychotropic medications, and expanding availability of third-party payment, but fewer outpatient visits and less use of psychotherapy. These changes coincided with the advent of better-tolerated antidepressants, increased penetration of managed care, and the development of rapid and efficient procedures for diagnosing depression in clinical practice.

Suicidal ideation and suicide attempts in general medical illnesses

BACKGROUND

This study examines the association between the presence of a general medical illness and suicidality in a representative sample of US young adults.

METHODS

Between 1988 and 1994, 7589 individuals aged 17 to 39 years were administered the Diagnostic Interview Schedule as part of a national probability survey. The survey collected information about lifetime suicidal ideation and suicide attempts, a checklist of common general medical conditions, and data on major depression, alcohol use, and demographic characteristics.

RESULTS

Whereas 16.3% of respondents described suicidal ideation at some point in their lives, 25.2% of individuals with a general medical condition, and 35.0% of those with 2 or more medical illnesses reported life-time suicidal ideation. Similarly, whereas 5.5% of respondents had made a suicide attempt, 8.9% of those with a general medical illness and 16.2% of those with 2 or more medical conditions had attempted suicide. In models controlling for major depression, depressive symptoms, alcohol use, and demographic characteristics, presence of a general medical condition predicted a 1.3 times increase in likelihood of suicidal ideation; more specifically, pulmonary diseases (asthma, bronchitis) were associated with a two-thirds increase in the odds of lifetime suicidal ideation. Cancer and asthma were each associated with a more than 4-fold increase in the likelihood of a suicide attempt.

CONCLUSIONS

A significant association was found between medical conditions and suicidality that persisted after adjusting for depressive illness and alcohol use. The findings support the need to screen for suicidality in general medical settings, over and above use of general depression instruments.

Effect of declining mental health service use on employees of a large corporation

This study examines concurrent changes in use of mental and general health services and in annual sick days among 20,814 employees of a large corporation. From 1993 to 1995 mental health service use and costs declined by more than one-third, more than three times as much as the decline in non-mental health service use. However, employees who used mental health services showed a 37 percent increase in use of non-mental health services and significantly increased sick days, whereas other employees showed no such increases. Savings in mental health services were fully offset by increased use of other services and lost workdays.

No exit? The effect of health status on dissatisfaction and disenrollment from health plans

OBJECTIVE

To examine the implications of serious and chronic health problems on the willingness of enrollees to switch health plans if they are dissatisfied with their current arrangements.

DATA SOURCE

A large (20,283 respondents) survey of employees of three national corporations committed to the model of managed competition, with substantial enrollment in four types of health plans: fee-for-service, prepaid group practice, independent practice associations, and point-of-service plans.

STUDY DESIGN

A set of logistic regression models are estimated to determine the probability of disenrollment, if dissatisfied, controlling for the influence on satisfaction and disenrollment of age, race, education, family income and size, gender, marital status, mental health status, pregnancy, duration of employment and enrollment in the plan, number of alternative plans, and HMO penetration in the local market. Separate coefficients are estimated for enrollees with and without significant physical health problems. Additional models are estimated to test for the influence of selection effects as well as alternative measures of dissatisfaction and health problems.

DATA COLLECTION

Data were collected through a mailed survey with a response rate of 63.5 percent; comparisons to a subsample administered by telephone showed few differences.

PRINCIPAL FINDINGS

In group/staff model HMOs and point-of-service plans, only 12-17 percent of the chronically ill enrollees who were so dissatisfied when surveyed that they intended to disenroll actually left their plan in the next open enrollment period. This compared to 25-29 percent of the healthy enrollees in these same plans, who reported this level of dissatisfaction and 58-63 percent of the enrollees under fee-for-service insurance.

CONCLUSIONS

Switching plans appears to be significantly limited for enrollees with serious health problems, the very enrollees who will be best informed about the ability of their health plan to provide adequate medical care. These effects are most pronounced in plans that have exclusive contracts with providers. We conclude that disenrollment provides only weak safeguards on quality for the sickest enrollees and that reported levels of dissatisfaction and disenrollment represent inaccurate signals of plan performance.

Depressive symptoms and plan switching under managed care

OBJECTIVE

A central assumption underlying managed care is that plan switching is a viable option for enrollees when they are dissatisfied. The authors used a national employee survey to test the hypothesis that this mechanism is less effective for enrollees with high levels of depressive symptoms than for the remainder of the population.

METHOD

The study used data from the Employee Health Care Value Survey, a 1993 survey of 20,283 employees of three major corporations. The authors used the Medical Outcomes Study 36-Item Short-Form Health Survey to identify individuals with the highest decile of depressive and physical symptoms. They examined the relationship between symptoms and dissatisfaction and, for dissatisfied individuals, how symptoms predicted plan switching. Multivariate models were used to control for potential demographic, health, and health coverage confounders.

RESULTS

Depressive and physical symptoms were both associated with dissatisfaction with care. Unlike physical symptoms, depressive symptoms were associated with a significantly lower likelihood of actually disenrolling among people who were dissatisfied or who intended to disenroll. This effect was most pronounced for satisfaction with administrative aspects of care (e.g., gatekeeping, utilization review).

CONCLUSIONS

People with high levels of depressive symptoms appeared to be less willing or able to act on their dissatisfaction by switching plans. In particular, they were willing to tolerate higher rates of dissatisfaction with the administrative aspects of their health coverage without disenrolling. Plan switching is an essential mechanism underpinning a health care system predicated on competition; it may be less effective for people with depressive disorders.

Using recidivism rates as a quality indicator for substance abuse treatment programs

Recidivism is a widely used quality indicator for inpatient substance abuse care. However, unadjusted recidivism rates do not account for important confounding variables, which may lessen their usefulness as a quality indicator. Using a study of a statewide network of inpatient substance abuse services in Connecticut, the authors present a method for sampling existing administrative data and adjusting recidivism rates. The method can be used by managers of provider networks to assess whether patient subgroups with different demographic or geographic characteristics have equal access to care; to check for potential weaknesses in services, facilities, or systems; and to identify programs with unusually high or low recidivism rates for improvement or replication.

Evaluation of the HEDIS measure of behavioral health care quality. Health Plan Employer Data and Information Set

OBJECTIVE

The Health Plan Employer Data and Information Set (HEDIS) is the most widely used "report card" system comparing health care plans across different dimensions of performance. HEDIS uses only one measure of the quality of behavioral health care-the rate of follow-up after hospitalization for major affective disorder. This study used data from a national Veterans Affairs database to evaluate the generalizability of the HEDIS behavioral health quality measure.

METHODS

Using administrative data from a nationwide sample of 114 VA hospitals, the HEDIS (version 2.5) quality measure was compared with several related performance measures including readmission rates and outpatient follow-up rates for other psychiatric disorders and for substance use disorders. The magnitude and statistical significance of Pearson's r value for correlation between measures was calculated.

RESULTS

The HEDIS measure was moderately correlated with 30-day follow-up after hospitalization for other psychiatric disorders and with other performance measures of outpatient care. However, it was poorly correlated with follow-up for substance use disorders, inpatient measures including readmission rates, and several other measures of quality.

CONCLUSIONS

Caution is needed in drawing conclusions about the quality of behavioral health plans based on the single measure used in HEDIS, version 2.5. Inclusion of other performance measures may be warranted.

Day hospital/crisis respite care versus inpatient care, Part I: Clinical outcomes

OBJECTIVE

The authors investigated the clinical feasibility and the outcome for patients of a program designed as an alternative to acute hospitalization.

METHOD

This was a random-design study comparing a conventional inpatient program for urban, poor, severely ill voluntary patients who usually require hospitalization to an alternative experimental program consisting of a day hospital linked to a crisis residence. Patients were assessed with standardized measures of symptoms, functioning, social adjustment, quality of life, and satisfaction with clinical services upon admission to the study, at discharge from the index admission, and at follow-ups 2, 5, and 10 months after discharge.

RESULTS

One hundred ninety-seven patients were enrolled in the 2-year research program and followed for 10 months. Of the voluntary patients who would have been admitted to the hospital, 83% were appropriate for the experimental program. The clinical, functional, social adjustment, quality of life, and satisfaction outcome measures were not statistically different for the patients in the two treatment conditions; however, there was a slightly more positive effect of the experimental program on measures of symptoms, overall functioning, and social functioning.

CONCLUSIONS

The experimental condition, a combined day hospital/crisis respite community residence, seems to have had the same treatment effectiveness as acute hospital care for urban, poor, acutely ill voluntary patients with severe mental illness.