Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis

IMPORTANCE

Despite the potential importance of understanding excess mortality among people with mental disorders, no comprehensive meta-analyses have been conducted quantifying mortality across mental disorders.

OBJECTIVE

To conduct a systematic review and meta-analysis of mortality among people with mental disorders and examine differences in mortality risks by type of death, diagnosis, and study characteristics.

DATA SOURCES

We searched EMBASE, MEDLINE, PsychINFO, and Web of Science from inception through May 7, 2014, including references of eligible articles. Our search strategy included terms for mental disorders (eg, mental disorders, serious mental illness, and severe mental illness), specific diagnoses (eg, schizophrenia, depression, anxiety, and bipolar disorder), and mortality. We also used Google Scholar to identify articles that cited eligible articles.

STUDY SELECTION

English-language cohort studies that reported a mortality estimate of mental disorders compared with a general population or controls from the same study setting without mental illness were included. Two reviewers independently reviewed the titles, abstracts, and articles. Of 2481 studies identified, 203 articles met the eligibility criteria and represented 29 countries in 6 continents.

DATA EXTRACTION AND SYNTHESIS

One reviewer conducted a full abstraction of all data, and 2 reviewers verified accuracy.

MAIN OUTCOMES AND MEASURES

Mortality estimates (eg, standardized mortality ratios, relative risks, hazard ratios, odds ratios, and years of potential life lost) comparing people with mental disorders and the general population or people without mental disorders. We used random-effects meta-analysis models to pool mortality ratios for all, natural, and unnatural causes of death. We also examined years of potential life lost and estimated the population attributable risk of mortality due to mental disorders.

RESULTS

For all-cause mortality, the pooled relative risk of mortality among those with mental disorders (from 148 studies) was 2.22 (95% CI, 2.12-2.33). Of these, 135 studies revealed that mortality was significantly higher among people with mental disorders than among the comparison population. A total of 67.3% of deaths among people with mental disorders were due to natural causes, 17.5% to unnatural causes, and the remainder to other or unknown causes. The median years of potential life lost was 10 years (n = 24 studies). We estimate that 14.3% of deaths worldwide, or approximately 8 million deaths each year, are attributable to mental disorders.

CONCLUSIONS AND RELEVANCE

These estimates suggest that mental disorders rank among the most substantial causes of death worldwide. Efforts to quantify and address the global burden of illness need to better consider the role of mental disorders in preventable mortality.

The Impact of Mental Illness Stigma on Seeking and Participating in Mental Health Care

Treatments have been developed and tested to successfully reduce the symptoms and disabilities of many mental illnesses. Unfortunately, people distressed by these illnesses often do not seek out services or choose to fully engage in them. One factor that impedes care seeking and undermines the service system is mental illness stigma. In this article, we review the complex elements of stigma in order to understand its impact on participating in care. We then summarize public policy considerations in seeking to tackle stigma in order to improve treatment engagement. Stigma is a complex construct that includes public, self, and structural components. It directly affects people with mental illness, as well as their support system, provider network, and community resources. The effects of stigma are moderated by knowledge of mental illness and cultural relevance. Understanding stigma is central to reducing its negative impact on care seeking and treatment engagement. Separate strategies have evolved for counteracting the effects of public, self, and structural stigma. Programs for mental health providers may be especially fruitful for promoting care engagement. Mental health literacy, cultural competence, and family engagement campaigns also mitigate stigma's adverse impact on care seeking. Policy change is essential to overcome the structural stigma that undermines government agendas meant to promote mental health care. Implications for expanding the research program on the connection between stigma and care seeking are discussed.

Mental disorders and use of cardiovascular procedures after myocardial infarction

CONTEXT

A number of studies have found race- and sex-based differences in rates of cardiovascular procedures in the United States. Similarly, mental disorders might be expected to be associated with lower rates of such procedures on the basis of clinical, socioeconomic, patient, and provider factors.

OBJECTIVE

To assess whether having a comorbid mental disorder is associated with a lower likelihood of cardiac catheterization and/or revascularization after acute myocardial infarction.

DESIGN

Retrospective cohort study using data from medical charts and administrative files as part of the Cooperative Cardiovascular Project.

SETTING

Acute care nongovernmental hospitals in the United States.

PATIENTS

National cohort of 113653 eligible patients 65 years or older who were hospitalized for confirmed acute myocardial infarction between February 1994 and July 1995.

MAIN OUTCOME MEASURES

Likelihood of cardiac catheterization, percutaneous transluminal coronary angioplasty (PTCA), or coronary artery bypass graft (CABG) surgery during the index hospitalization, comparing patients with and without mental disorders (classified as schizophrenia, major affective disorder, substance abuse/dependence disorder, or other mental disorder).

RESULTS

Compared with the remainder of the sample, patients with any comorbid mental disorder (n = 5365; 4.7%) were significantly less likely to undergo PTCA (11.8% vs 16.8%; P<.001) or CABG (8.2% vs 12.6%; P<.001). After adjusting for demographic, clinical, hospital, and regional factors, individuals with mental disorders were 41% (for schizophrenia) to 78% (for substance use) as likely to undergo cardiac catheterization as those without mental disorders (P<.001 for all). Among those undergoing catheterization, rates of PTCA or CABG for patients with mental disorders were not significantly different from rates for patients without mental disorders (for those with any mental disorder, P = .12 for PTCA and P = .06 for CABG). In multivariate models, the 30-day mortality did not differ between patients with and without mental disorders.

CONCLUSIONS

In this study, individuals with comorbid mental disorders were substantially less likely to undergo coronary revascularization procedures than those without mental disorders. Further research is needed to understand the degree to which patient and provider factors contribute to this difference and its implications for quality and long-term outcomes of care.

Quality of medical care and excess mortality in older patients with mental disorders

BACKGROUND

This study investigated whether differences in quality of medical care might explain a portion of the excess mortality associated with mental disorders in the year after myocardial infarction.

METHODS

This study examined a national cohort of 88 241 Medicare patients 65 years and older who were hospitalized for clinically confirmed acute myocardial infarction. Proportional hazard models compared the association between mental disorders and mortality before and after adjusting 5 established quality indicators: reperfusion, aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and smoking cessation counseling. All models adjusted for eligibility for each procedure, demographic characteristics, cardiac risk factors and history, admission characteristics, left ventricular function, hospital characteristics, and regional factors.

RESULTS

After adjusting for the potential confounding factors, presence of any mental disorder was associated with a 19% increase in 1-year risk of mortality (hazard ratios [HR], 1.19; 95% confidence interval [CI], 1.04-1.36). After adding the 5 quality measures to the model, the association was no longer significant (HR, 1.10; 95% CI, 0.96-1.26). Similarly, while schizophrenia (HR, 1.34; 95% CI, 1.01-1.67) and major affective disorders (HR, 1.11; 95% CI, 1.02-1.20) were each initially associated with increased mortality, after adding the quality variables, neither schizophrenia (HR, 1.23; 95% CI, 0.86-1.60) nor major affective disorder (HR, 1.05; 95% CI, 0.87-1.23) remained a significant predictor.

CONCLUSIONS

Deficits in quality of medical care seemed to explain a substantial portion of the excess mortality experienced by patients with mental disorders after myocardial infarction. The study suggests the potential importance of improving these patients' medical care as a step toward reducing their excess mortality.

Integrated medical care for patients with serious psychiatric illness: a randomized trial

BACKGROUND

This randomized trial evaluated an integrated model of primary medical care for a cohort of patients with serious mental disorders.

METHODS

A total of 120 individuals enrolled in a Veterans Affairs (VA) mental health clinic were randomized to receive primary medical care through an integrated care initiative located in the mental health clinic (n = 59) or through the VA general medicine clinic (n = 61). Veterans who obtained care in the integrated care clinic received on-site primary care and case management that emphasized preventive medical care, patient education, and close collaboration with mental health providers to improve access to and continuity of care. Analyses compared health process (use of medical services, quality of care, and satisfaction) and outcomes (health and mental health status and costs) between the groups in the year after randomization.

RESULTS

Patients treated in the integrated care clinic were significantly more likely to have made a primary care visit and had a greater mean number of primary care visits than those in the usual care group. They were more likely to have received 15 of the 17 preventive measures outlined in clinical practice guidelines. Patients assigned to the integrated care clinic had a significantly greater improvement in health as measured by the physical component summary score of the 36-Item Short-Form Health Survey than patients assigned to the general medicine clinic (4.7 points vs -0.3 points, P<.001). There were no significant differences between the 2 groups in any of the measures of mental health symptoms or in total health care costs.

CONCLUSION

On-site, integrated primary care was associated with improved quality and outcomes of medical care.

Association between use of unconventional therapies and conventional medical services

CONTEXT

The terms alternative and complementary medicine suggest 2 contradictory possibilities. Whether individuals use unconventional therapies as a substitute for or as an "add on" to conventional medical treatments is uncertain.

OBJECTIVE

To determine the association between use of unconventional therapies and conventional medical care in a national sample.

DESIGN, SETTING, AND PARTICIPANTS

The 1996 Medical Expenditure Panel Survey was distributed to a probability sample of the noninstitutionalized civilian US population. Of 24676 individuals responding (77.7% response rate), 16068 adults 18 years or older were included in the analysis.

MAIN OUTCOME MEASURES

Visits to practitioners for unconventional therapies and conventional medical services, including number of inpatient, outpatient, and emergency department visits and use of 8 types of preventive medical services (blood pressure, cholesterol level, physical examination, influenza vaccination, prostate examination, breast examination, mammography, and Papanicolaou test).

RESULTS

During 1996, an estimated 6.5% of the US population had visits for both unconventional therapies and conventional medical care; 1.8% used only unconventional services; 59.5% used only conventional care; and 32.2% used neither. Compared with those with only conventional visits, those who used both types of care had significantly more outpatient physician visits (7.9 vs 5.4; P<.001), and used more of all types of preventive services except mammography. These groups did not differ significantly in inpatient care, prescription drug use, or number of emergency department visits. Individuals in the top quartile of number of physician visits were more than twice as likely as those in the bottom quartile to have used unconventional therapies in the past year (14.5% vs 6.4%; P<.001). The association between unconventional treatments and physician visits remained after adjusting for potential confounders and across different types of unconventional treatment.

CONCLUSIONS

In this sample, use of unconventional therapies was substantially lower than has been reported in previous national surveys, but was associated with increased use of physician services. From a health services perspective, practitioner-based unconventional therapies appear to serve more as a complement than an alternative to conventional medicine.

Health and disability costs of depressive illness in a major U.S. corporation

OBJECTIVE

Employers are playing an increasingly influential role in determining the scope and character of health coverage in the United States. This study compares the health and disability costs of depressive illness with those of four other chronic conditions among employees of a large U.S. corporation.

METHOD

Data from the health and employee files of 15,153 employees of a major U.S. corporation who filed health claims in 1995 were examined. Analyses compared the mental health costs, medical costs, sick days, and total health and disability costs associated with depression and four other conditions: heart disease, diabetes, hypertension, and back problems. Regression models were used to control for demographic differences and job characteristics.

RESULTS

Employees treated for depression incurred annual per capita health and disability costs of $5,415, significantly more than the cost for hypertension and comparable to the cost for the three other medical conditions. Employees with depressive illness plus any of the other conditions cost 1.7 times more than those with the comparison medical conditions alone. Depressive illness was associated with a mean of 9.86 annual sick days, significantly more than any of the other conditions. Depressed employees under the age of 40 years took 3.5 more annual sick days than those 40 years old or older.

CONCLUSIONS

The cost of depression to employers, particularly the cost in lost work days, is as great or greater than the cost of many other common medical illnesses, and the combination of depressive and other common illnesses is particularly costly. The strong association between depressive illness and sick days in younger workers suggests that the impact of depression may increase as these workers age.

The Health and Recovery Peer (HARP) Program: a peer-led intervention to improve medical self-management for persons with serious mental illness

OBJECTIVES

Persons with serious mental illnesses (SMI) have elevated rates of comorbid medical conditions, but may also face challenges in effectively managing those conditions.

METHODS

The study team developed and pilot-tested the Health and Recovery Program (HARP), an adaptation of the Chronic Disease Self-Management Program (CDSMP) for mental health consumers. A manualized, six-session intervention, delivered by mental health peer leaders, helps participants become more effective managers of their chronic illnesses. A pilot trial randomized 80 consumers with one or more chronic medical illness to either the HARP program or usual care.

RESULTS

At six month follow-up, participants in the HARP program had a significantly greater improvement in patient activation than those in usual care (7.7% relative improvement vs. 5.7% decline, p=0.03 for group *time interaction), and in rates of having one or more primary care visit (68.4% vs. 51.9% with one or more visit, p=0.046 for group *time interaction). Intervention advantages were observed for physical health related quality of life (HRQOL), physical activity, medication adherence, and, and though not statistically significant, had similar effect sizes as those seen for the CDSMP in general medical populations. Improvements in HRQOL were largest among medically and socially vulnerable subpopulations.

CONCLUSIONS

This peer-led, medical self-management program was feasible and showed promise for improving a range of health outcomes among mental health consumers with chronic medical comorbidities. The HARP intervention may provide a vehicle for the mental health peer workforce to actively engage in efforts to reduce morbidity and mortality among mental health consumers.

A randomized trial of medical care management for community mental health settings: the Primary Care Access, Referral, and Evaluation (PCARE) study

OBJECTIVE

Poor quality of healthcare contributes to impaired health and excess mortality in individuals with severe mental disorders. The authors tested a population-based medical care management intervention designed to improve primary medical care in community mental health settings.

METHOD

A total of 407 subjects with severe mental illness at an urban community mental health center were randomly assigned to either the medical care management intervention or usual care. For individuals in the intervention group, care managers provided communication and advocacy with medical providers, health education, and support in overcoming system-level fragmentation and barriers to primary medical care.

RESULTS

At a 12-month follow-up evaluation, the intervention group received an average of 58.7% of recommended preventive services compared with a rate of 21.8% in the usual care group. They also received a significantly higher proportion of evidence-based services for cardiometabolic conditions (34.9% versus 27.7%) and were more likely to have a primary care provider (71.2% versus 51.9%). The intervention group showed significant improvement on the SF-36 mental component summary (8.0% [versus a 1.1% decline in the usual care group]) and a nonsignificant improvement on the SF-36 physical component summary. Among subjects with available laboratory data, scores on the Framingham Cardiovascular Risk Index were significantly better in the intervention group (6.9%) than the usual care group (9.8%).

CONCLUSIONS

Medical care management was associated with significant improvements in the quality and outcomes of primary care. These findings suggest that care management is a promising approach for improving medical care for patients treated in community mental health settings.

Comparing the national economic burden of five chronic conditions

Using a nationally representative sample of 23,230 U.S. residents, we examine patterns of economic burden across five chronic conditions: mood disorders, diabetes, heart disease, asthma, and hypertension. Almost half of U.S. health care costs in 1996 were borne by persons with one or more of these five conditions; of that spending amount, only about one-quarter was spent on treating the conditions themselves and the remainder on coexistent illnesses. Each condition demonstrated substantial economic burden but also unique characteristics and patterns of service use driving those costs. The findings highlight the differing challenges involved in understanding needs and improving care across particular chronic conditions.

Trends in mental health care among children and adolescents

BACKGROUND

Increasing mental health treatment of young people and broadening conceptualizations of psychopathology have triggered concerns about a disproportionate increase in the treatment of youths with low levels of mental health impairment.

METHODS

We analyzed the 1996-1998, 2003-2005, and 2010-2012 Medical Expenditure Panel Surveys, which were nationally representative surveys of U.S. households, for trends in outpatient use of mental health services by persons 6 to 17 years of age; 53,622 persons were included in the analysis. Mental health impairment was measured with the use of the Columbia Impairment Scale (range, 0 to 52, with higher scores indicating more severe impairment); we classified youths with scores of 16 or higher as having more severe impairment and those with scores of less than 16 as having less severe impairment.

RESULTS

The percentage of youths receiving any outpatient mental health service increased from 9.2% in 1996-1998 to 13.3% in 2010-2012 (odds ratio, 1.52; 95% confidence interval, 1.35 to 1.72). The proportionate increase in the use of mental health services among youths with more severe impairment (from 26.2% to 43.9%) was larger than that among youths with less severe or no impairment (from 6.7% to 9.6%). However, the absolute increase in annual service use was larger among youths with less severe or no impairment (from 2.74 million to 4.19 million) than among those with more severe impairment (from 1.56 million to 2.28 million). Significant overall increases occurred in the use of psychotherapy (from 4.2% to 6.0%) and psychotropic medications (from 5.5% to 8.9%), including stimulants and related medications (from 4.0% to 6.6%), antidepressants (from 1.5% to 2.6%), and antipsychotic drugs (from 0.2% to 1.2%).

CONCLUSIONS

Outpatient mental health treatment and psychotropic-medication use in children and adolescents increased in the United States between 1996-1998 and 2010-2012. Although youths with less severe or no impairment accounted for most of the absolute increase in service use, youths with more severe impairment had the greatest relative increase in use, yet fewer than half accessed services in 2010-2012. (Funded by the Agency for Healthcare Research and Quality and the New York State Psychiatric Institute.).

Quality of preventive medical care for patients with mental disorders

BACKGROUND/OBJECTIVES

This study compares quality of preventive services between persons with and without mental/substance use disorders for a national sample of medical outpatients.

RESEARCH DESIGN

Cross-sectional study.

SUBJECTS

A total of 113,505 veterans with chronic conditions and at least three general medical visits to Veterans Health Administration medical providers during 1998 to 1999.

MEASURES

Chart-derived rates of eight preventive services: two measures of immunization, four measures of cancer screening, and two of tobacco screening and counseling. Multivariable-generalized estimating equations compared rates of each preventive service among veterans with psychiatric disorders, substance use disorders, both, and neither, adjusting for demographic, health status, and facility-level characteristics.

RESULTS

On average, persons in the sample obtained 64% of the eight preventive procedures for which they were eligible. Overall rates of currency with preventive services were 58% for patients with combined psychiatric/substance use disorders, 60% and 65% for those with psychiatric and substance use disorders alone, and 66% for those with neither psychiatric nor substance use disorders. Each difference remained statistically significant in multivariable models.

CONCLUSIONS

In this sample of patients in active medical treatment, rates of preventive services were higher than rates reported for population-based, private-sector samples. Despite these high-baseline rates, persons with psychiatric disorders, particularly with comorbid substance use, were at risk for lower rate of receipt of preventive services.

Insurance status, use of mental health services, and unmet need for mental health care in the United States

OBJECTIVE

The purpose of this study was to provide updated national estimates and correlates of service use, unmet need, and barriers to mental health treatment among adults with mental disorders.

METHODS

The sample included 36,647 adults ages 18-64 (9,723 with any mental illness and 2,608 with serious mental illness) from the 2011 National Survey on Drug Use and Health. Logistic regression models were used to examine predictors of mental health treatment and perceived unmet need.

RESULTS

Substantial numbers of adults with mental illness did not receive treatment (any mental illness, 62%; serious mental illness, 41%) and perceived an unmet need for treatment (any mental illness, 21%; serious mental illness, 41%). Having health insurance was a strong correlate of mental health treatment use (any mental illness: private insurance, adjusted odds ratio [AOR]=1.63, 95% confidence interval [CI]=1.29-2.06; Medicaid, AOR=2.66, CI=2.04-3.46; serious mental illness: private insurance, AOR=1.65, CI=1.12-2.45; Medicaid, AOR=3.37, CI=2.02-5.61) and of lower odds of perceived unmet need (any mental illness: private insurance, AOR=.78, CI=.65-.95; Medicaid, AOR=.70, CI=.54-.92). Among adults with any mental illness and perceived unmet need, 72% reported at least one structural barrier and 47% reported at least one attitudinal barrier. Compared with respondents with insurance, uninsured individuals reported significantly more structural barriers and fewer attitudinal barriers.

CONCLUSIONS

Low rates of treatment and high unmet need persist among adults with mental illness. Strategies to reduce both structural barriers, such as cost and insurance coverage, and attitudinal barriers are needed.

The magnitude of and health system responses to the mental health treatment gap in adults in India and China

This Series paper describes the first systematic effort to review the unmet mental health needs of adults in China and India. The evidence shows that contact coverage for the most common mental and substance use disorders is very low. Effective coverage is even lower, even for severe disorders such as psychotic disorders and epilepsy. There are vast variations across the regions of both countries, with the highest treatment gaps in rural regions because of inequities in the distribution of mental health resources, and variable implementation of mental health policies across states and provinces. Human and financial resources for mental health are grossly inadequate with less than 1% of the national health-care budget allocated to mental health in either country. Although China and India have both shown renewed commitment through national programmes for community-oriented mental health care, progress in achieving coverage is far more substantial in China. Improvement of coverage will need to address both supply-side barriers and demand-side barriers related to stigma and varying explanatory models of mental disorders. Sharing tasks with community-based workers in a collaborative stepped-care framework is an approach that is ripe to be scaled up, in particular through integration within national priority health programmes. India and China need to invest in increasing demand for services through active engagement with the community, to strengthen service user leadership and ensure that the content and delivery of mental health programmes are culturally and contextually appropriate.

Transforming mental health care at the interface with general medicine: report for the presidents commission

This paper is based on a report commissioned by the Subcommittee on Mental Health Interface With General Medicine of the Presidents New Freedom Commission on Mental Health. Although mental and medical conditions are highly interconnected, medical and mental health care systems are separated in many ways that inhibit effective care. Treatable mental or medical illnesses are often not detected or diagnosed properly, and effective services are often not provided. Improved mental health care at the interface of general medicine and mental health requires educated consumers and providers; effective detection, diagnosis, and monitoring of common mental disorders; valid performance criteria for care at the interface of general medicine and mental health; care management protocols that match treatment intensity to clinical outcomes; effective specialty mental health support for general medical providers; and financing mechanisms for evidence-based models of care. Successful models exist for improving the collaboration between medical and mental health providers. Recommendations are presented for achieving high-quality care for common mental disorders at the interface of general medicine and mental health and for overcoming barriers and facilitating use of evidence-based quality improvement models.

The most expensive medical conditions in America

This study uses a nationally representative survey to identify the most expensive conditions in the United States and to examine the association between spending and disability. The most expensive conditions at a population level were ischemic heart disease and motor vehicle accidents; at the per capita level they were respiratory malignancies. There was not a significant association between rank order of treatment costs and disability; the conditions with the greatest disability relative to expenditures were mood disorders, chronic obstructive pulmonary disease, and arthropathies. We use the findings to discuss the role for cost-of-illness and burden-of-disease estimates in setting priorities.

Mental disorders and quality of diabetes care in the veterans health administration

OBJECTIVE

The population of persons with mental disorders is potentially vulnerable to poor quality of medical care. This study examined the relationship between mental disorders and quality of diabetes care in a national sample of veterans.

METHOD

Chart-abstracted quality data were merged with outpatient and inpatient administrative database records for a sample of veterans with diabetes who had at least three outpatient visits in the previous year (N=38,020). Mental health diagnoses were identified by use of the administrative data. Quality of diabetes care was assessed with five indicators by chart documentation: annual foot inspection, pedal pulses examination, foot sensory examination, retina examination, and glycated hemoglobin determination.

RESULTS

Approximately a quarter of the sample had a diagnosed mental disorder (23.7% with psychiatric disorder only, 1.3% with substance use disorder only, and 2.6% with a dual diagnosis). Overall rates of receipt for the indicators were higher than national benchmarks for all patient subgroups, ranging from 70.8% for retina examination to 95.0% for foot inspection. Rates for both retina examination and foot sensory examination differed significantly by mental health status, mainly because of lower rates among those with a substance use disorder. The associations remained significant in multivariate generalized estimating equation analyses that controlled for demographic characteristics, health status, use of medical services, and hospital-level characteristics.

CONCLUSIONS

Rates for secondary prevention of diabetes were remarkably high at Department of Veterans Affairs medical centers, although patients with mental disorders (particularly substance use disorders) were somewhat less likely to receive some of the recommended interventions.

Race/ethnicity and geographic access to Medicaid substance use disorder treatment facilities in the United States

IMPORTANCE

Although substance use disorders (SUDs) are prevalent and associated with adverse consequences, treatment rates remain low. Unlike physical and mental health problems, treatment for SUDs is predominantly provided in a separate specialty sector and more heavily financed by public sources. Medicaid expansion under the Patient Protection and Affordable Care Act has the potential to increase access to treatment for SUDs but only if an infrastructure exists to serve new enrollees.

OBJECTIVE

To examine the availability of outpatient SUD treatment facilities that accept Medicaid across US counties and whether counties with a higher percentage of racial/ethnic minorities are more likely to have gaps in this infrastructure.

DESIGN, SETTING, AND PARTICIPANTS

We used data from the 2009 National Survey of Substance Abuse Treatment Services public use file and the 2011-2012 Area Resource file to examine sociodemographic factors associated with county-level access to SUD treatment facilities that serve Medicaid enrollees. Counties in all 50 states were included. We estimated a probit model with state indicators to adjust for state-level heterogeneity in demographics, politics, and policies. Independent variables assessed county racial/ethnic composition (ie, percentage black and percentage Hispanic), percentage living in poverty, percentage living in a rural area, percentage insured with Medicaid, percentage uninsured, and total population.

MAIN OUTCOMES AND MEASURES

Dichotomous indicator for counties with at least 1 outpatient SUD treatment facility that accepts Medicaid.

RESULTS

Approximately 60% of US counties have at least 1 outpatient SUD facility that accepts Medicaid, although this rate is lower in many Southern and Midwestern states than in other areas of the country. Counties with a higher percentage of black (marginal effect [ME],  -3.1; 95% CI,  -5.2% to -0.9%), rural (-9.2%; -11.1% to -7.4%), and/or uninsured (-9.5%; -13.0% to -5.9%) residents are less likely to have one of these facilities.

CONCLUSIONS AND RELEVANCE

The potential for increasing access to SUD treatment via Medicaid expansion may be tempered by the local availability of facilities to provide care, particularly for counties with a high percentage of black and/or uninsured residents and for rural counties. Although states that opt in to the expansion will secure additional federal funds for the SUD treatment system, additional policies may need to be implemented to ensure that adequate geographic access exists across local communities to serve new enrollees.

Mental disorders and access to medical care in the United States

OBJECTIVE

The authors examined the barriers to receipt of medical services among people reporting mental disorders in a representative sample of U.S. adults.

METHOD

The sample was drawn from adults who responded to the 1994 National Health Interview Survey (N=77,183). The authors studied the association between report of a mental disorder and 1) access to health insurance and a primary provider, and 2) actual receipt of medical care. Multivariate techniques were used to model problems with access as a function of mental disorders, controlling for demographic, insurance, and health variables.

RESULTS

While people who reported mental disorders showed no difference from those without mental disorders in likelihood of being uninsured or of having a primary care provider, they were twice as likely to report having been denied insurance because of a preexisting condition or having stayed in their job for fear of losing their health benefits. Among respondents with insurance, those who reported mental illness were no less likely to have a primary care provider but were about two times more likely to report having delayed seeking needed medical care because of cost or having been unable to obtain needed medical care.

CONCLUSIONS

People who reported mental disorders experienced significant barriers to receipt of medical care. Efforts to measure and improve access to health care for this population may need to go beyond simply providing insurance benefits or access to general medical providers.

Racial/ethnic differences in mental health service use among adolescents with major depression

OBJECTIVE

Little is known about racial/ethnic differences in the receipt of treatment for major depression in adolescents. This study examined differences in mental health service use in non-Hispanic white, black, Hispanic, and Asian adolescents who experienced an episode of major depression.

METHOD

Five years of data (2004-2008) were pooled from the National Survey on Drug Use and Health to derive a nationally representative sample of 7,704 adolescents (12-17 years old) diagnosed with major depression in the past year. Racial/ethnic differences were estimated with weighted probit regressions across several measurements of mental health service use controlling for demographics and health status. Additional models assessed whether family income and health insurance status accounted for these differences.

RESULTS

The adjusted percentages of blacks (32%), Hispanics (31%), and Asians (19%) who received any treatment for major depression were significantly lower than those of non-Hispanic whites (40%; p < .001). Black, Hispanic, and Asian adolescents were also significantly less likely than non-Hispanic whites to receive prescription medication for major depression, to receive treatment for major depression from a mental health specialist or medical provider, and to receive any mental health treatment in an outpatient setting (p < .01). These differences persisted after adjusting for family income and insurance status.

CONCLUSION

Results indicated low rates of mental health treatment for major depression in all adolescents. Improving access to mental health care for adolescents will also require attention to racial/ethnic subgroups at highest risk for non-receipt of services.

Trends in care by nonphysician clinicians in the United States

BACKGROUND

The 1990s saw rising numbers of graduates of training programs for nonphysician clinicians, passage of legislation expanding their scope of practice, and a proliferation of managed-care models that emphasized the use of these providers as a strategy for containing health care costs.

METHODS

We used two nationally representative surveys to examine trends in outpatient care provided by physicians and nonphysician clinicians between 1987 and 1997, adjusting for the case mix. Analyses examined care provided by 10 categories of nonphysician clinicians: chiropractors, midwives, nurses or nurse practitioners, optometrists, podiatrists, physician assistants, physical or occupational therapists, psychologists, social workers, and others.

RESULTS

Between 1987 and 1997, the proportion of patients who saw a nonphysician clinician rose from 30.6 percent to 36.1 percent (adjusted relative risk for 1997 as compared with 1987, 1.42 [95 percent confidence interval, 1.35 to 1.50]). The trend was driven by an increase in the proportion of persons who visited both a physician and a nonphysician clinician (from 23.5 percent to 30.9 percent; adjusted relative risk, 1.49 [95 percent confidence interval, 1.40 to 1.58]), rather than an increase in the proportion who saw only a nonphysician clinician (from 7.2 percent to 5.3 percent; adjusted relative risk, 0.81 [95 percent confidence interval, 0.70 to 0.93]). This pattern was consistent in analyses of specific medical conditions and specific types of nonphysician clinicians. There was an increase in the proportion of patients obtaining preventive services from nonphysician clinicians and a decline in the proportion receiving acute care services from such clinicians.

CONCLUSIONS

From 1987 to 1997, there was a degree of differentiation between physicians and nonphysician clinicians with respect to the services they provided but not with respect to the patients they treated. The implications of these findings hinge on the degree to which the increase in conjoint service delivery represents growing coordination or fragmentation of care.

Metabolic screening in children receiving antipsychotic drug treatment

OBJECTIVES

To estimate metabolic screening rates, predictors of screening, and incidence of metabolic disturbances in children initiating second-generation antipsychotic (SGA) drug treatment.

DESIGN

A retrospective, new-user cohort study (between July 1, 2004, and June 30, 2006) using Medicaid claims data.

SETTINGS

California, Missouri, and Oregon.

PATIENTS

A total of 5370 children (aged 6-17 years) without diabetes mellitus taking SGA drugs and 15,000 children without diabetes taking albuterol (control individuals) [corrected] but no SGA drugs.

INTERVENTION

Findings 1 year after recommendations from the American Diabetes Association and American Psychiatric Association called for metabolic screening of patients receiving SGA drugs.

OUTCOME MEASURES

Serum glucose and lipid testing, 6-month incidence of diabetes, and dyslipidemia disturbances.

RESULTS

Glucose screening was performed in 1699 (31.6% [95% confidence interval (CI), 30.4%-32.9%]) SGA-treated children vs 1891 (12.6% [12.1%-13.2%]) control individuals. Lipid testing was performed in 720 (13.4% [95% CI, 12.5%-14.4%]) SGA-treated children vs 458 (3.1% [2.8%-3.3%]) controls. In multivariate logistic regression analysis, children with serious and/or multiple psychiatric diagnoses and those who used health care services more intensively were more likely to receive metabolic screening. The case incidence of glucose and lipid disorders was higher in SGA-treated vs albuterol-treated children (8.9 per 1000 children [95% CI, 6.6%-11.8%] vs 4.9 per 1000 children [3.9%-6.2%]; and 9.7 per 1000 children [95% CI, 7.2%-12.7%] vs 4.6 per 1000 children [95% CI, 3.6%-5.8%], respectively).

CONCLUSION

Most children starting treatment with SGA medications in this public sector sample did not receive recommended glucose and lipid screening.

Excess mortality due to depression and anxiety in the United States: results from a nationally representative survey

OBJECTIVES

We compared the mortality of persons with and without anxiety and depression in a nationally representative survey and examined the role of socioeconomic factors, chronic diseases and health behaviors in explaining excess mortality.

METHODS

The 1999 National Health Interview Survey was linked with mortality data through 2011. We calculated the hazard ratio (HR) for mortality by presence or absence of anxiety/depression and evaluated potential mediators. We calculated the population attributable risk of mortality for anxiety/depression.

RESULTS

Persons with anxiety/depression died 7.9 years earlier than other persons. At a population level, 3.5% of deaths were attributable to anxiety/depression. Adjusting for demographic factors, anxiety/depression was associated with an elevated risk of mortality [HR=1.61, 95% confidence interval (CI)=1.40, 1.84]. Chronic diseases and health behaviors explained much of the elevated risk. Adjusting for demographic factors, people with past-year contact with a mental health professional did not demonstrate excess mortality associated with anxiety/depression while those without contact did.

CONCLUSIONS

Anxiety/depression presents a mortality burden at both individual and population levels. Our findings are consistent with targeting health behaviors and physical illnesses as strategies for reducing this excess mortality among people with anxiety/depression.

Effects of Food and Drug Administration warnings on antidepressant use in a national sample

CONTEXT

In June 2003, the Food and Drug Administration (FDA) recommended that paroxetine hydrochloride not be used to treat young people because of potential increased risk of suicidal behavior, and in October 2004, the FDA issued a black box warning concerning all antidepressants for youth.

OBJECTIVE

To characterize associations between these warnings and antidepressant use.

DESIGN

Interrupted time series analyses of trends in antidepressant use were performed with Medco pharmacy and enrollment data stratified by patient age, sex, antidepressant type, and specialty of the prescribing physician across 3 study periods: prewarning (May 1, 2002 to June 19, 2003), paroxetine warning (June 20, 2003 to October 15, 2004), and black box warning (October 16, 2004 to December 31, 2005).

MAIN OUTCOME MEASURES

The rate of antidepressant use, annualized percentage change in rate of antidepressant use, and difference in trend of antidepressant use between consecutive study periods.

RESULTS

During the prewarning study period, there was a 36.0% per year (P < .001) increase in total youth (aged 6-17 years) antidepressant use, which was followed by decreases of -0.8% per year (P = .85) and -9.6% per year (P = .21) during the paroxetine and black box warning study periods, respectively. The difference in trends between the prewarning and paroxetine warning periods was significant (P < .001). Youth paroxetine use also significantly increased during the prewarning study period (30.0% per year; P < .001) before significantly declining during the paroxetine warning study period (-44.2% per year; P < .001), which was also a significant between-period difference in trends (P < .001). Changes in antidepressant use were less pronounced in adults than in youth. For adults 65 years and older, overall antidepressant use significantly increased (8.1% per year; P < .001) during the black box study period. Changes in the pattern of antidepressant use varied little by patient sex.

CONCLUSIONS

The paroxetine and black box warnings had modest and relatively targeted effects on the intended populations. These changes, which were greatest for youth, were broadly consistent with the FDA warnings and the scientific literature.