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

Prevalence and Predictors of Mental Health Programming Among U.S. Religious Congregations

OBJECTIVE

This study assessed the prevalence of and factors associated with congregation-based programming in support of people with mental illness.

METHODS

To estimate the proportion of congregations that provide mental health programming, this study reports analyses of survey responses from the 2012 National Congregations Study, a nationally representative survey of religious congregations in the United States (N=1,327). The analysis used multivariate logistic regression to identify congregational characteristics associated with the provision of mental health programming.

RESULTS

Nearly one in four U.S. congregations (23%) provided some type of programming to support people with mental illness. Approximately 31% of all attendees belonged to a congregation that provided mental health programming. Congregational characteristics associated with providing mental health programming included having more members and having members with higher incomes, employing staff for social service programs, and providing health-focused programs. Other significant predictors included engaging with the surrounding community (that is, conducting community needs assessments and hosting speakers from social service organizations) and being located in a predominantly African-American community.

CONCLUSIONS

Greater coordination between mental health providers and congregations with programs that support people with mental illness could foster more integrated and holistic care, which in turn may lead to improved recovery outcomes.

Population Of US Practicing Psychiatrists Declined, 2003-13, Which May Help Explain Poor Access To Mental Health Care

A large proportion of the US population suffers from mental illness. Limited access to psychiatrists may be a contributor to the underuse of mental health services. We studied changes in the supply of psychiatrists from 2003 to 2013, compared to changes in the supply of primary care physicians and neurologists. During this period the number of practicing psychiatrists declined from 37,968 to 37,889, which represented a 10.2 percent reduction in the median number of psychiatrists per 100,000 residents in hospital referral regions. In contrast, the numbers of primary care physicians and neurologists grew during the study period. These findings may help explain why patients report poor access to mental health care. Future research should explore the impact of the declining psychiatrist supply on patients and investigate new models of care that seek to integrate mental health and primary care or use team-based care that combines the services of psychiatrists and nonphysician providers for individuals with severe mental illnesses.

Predictors of Mental Health Services Use Across the Life Course among Racially-Ethnically Diverse Adults

OBJECTIVE

Little is known about key factors associated with use of mental health services across the life course. This study determined key socioeconomic, social support, psychiatric, and medical predictors of services use in younger, middle, and older age.

DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS

The sample included 3,708 adults with DSM-IV-based mood, anxiety, and substance use disorders in the Collaborative Psychiatric Epidemiology Surveys. Key predictors of mental health services use for each age group were systematically determined by multivariable models, and exploratory analyses examining potential effect modification by race-ethnicity and sex were assessed by interaction terms. Statistical analyses included complex design-corrected and weighted logistic regression analyses that provide results generalizable to the United States.

RESULTS

Psychiatric and medical issues such as prior suicidal behavior, comorbid psychiatric disorders, and perceived cognitive impairment increased odds of mental health services use in younger, middle, and older age. Chronic medical conditions also influenced services use in younger and older age, with their impact on use across age potentially modified by racial-ethnic disparities (p interaction = 0.01). Moreover, socioeconomic factors like marital status influenced use in middle and older age, where being divorced, separated, widowed, or never married encouraged use. The effect of marital status on use across age was also potentially modified by racial-ethnic disparities (p interaction = 0.02).

CONCLUSIONS

Key socioeconomic, social support, psychiatric, and medical predictors uniquely influence use of mental health services across the life course. These findings will help inform efforts to encourage greater services use by adults across the life course in need of care.

An audience research study to disseminate evidence about comprehensive state mental health parity legislation to US State policymakers: protocol

BACKGROUND

A large proportion of the US population has limited access to mental health treatments because insurance providers limit the utilization of mental health services in ways that are more restrictive than for physical health services. Comprehensive state mental health parity legislation (C-SMHPL) is an evidence-based policy intervention that enhances mental health insurance coverage and improves access to care. Implementation of C-SMHPL, however, is limited. State policymakers have the exclusive authority to implement C-SMHPL, but sparse guidance exists to inform the design of strategies to disseminate evidence about C-SMHPL, and more broadly, evidence-based treatments and mental illness, to this audience. The aims of this exploratory audience research study are to (1) characterize US State policymakers' knowledge and attitudes about C-SMHPL and identify individual- and state-level attributes associated with support for C-SMHPL; and (2) integrate quantitative and qualitative data to develop a conceptual framework to disseminate evidence about C-SMHPL, evidence-based treatments, and mental illness to US State policymakers.

METHODS

The study uses a multi-level (policymaker, state), mixed method (QUAN→qual) approach and is guided by Kingdon's Multiple Streams Framework, adapted to incorporate constructs from Aarons' Model of Evidence-Based Implementation in Public Sectors. A multi-modal survey (telephone, post-mail, e-mail) of 600 US State policymakers (500 legislative, 100 administrative) will be conducted and responses will be linked to state-level variables. The survey will span domains such as support for C-SMHPL, knowledge and attitudes about C-SMHPL and evidence-based treatments, mental illness stigma, and research dissemination preferences. State-level variables will measure factors associated with C-SMHPL implementation, such as economic climate and political environment. Multi-level regression will determine the relative strength of individual- and state-level variables on policymaker support for C-SMHPL. Informed by survey results, semi-structured interviews will be conducted with approximately 50 US State policymakers to elaborate upon quantitative findings. Then, using a systematic process, quantitative and qualitative data will be integrated and a US State policymaker-focused C-SMHPL dissemination framework will be developed.

DISCUSSION

Study results will provide the foundation for hypothesis-driven, experimental studies testing the effects of different dissemination strategies on state policymakers' support for, and implementation of, evidence-based mental health policy interventions.

Geographic Access to Specialty Mental Health Care Across High- and Low-Income US Communities

Importance

With the future of the Affordable Care Act and Medicaid program unclear, it is critical to examine the geographic availability of specialty mental health treatment resources that serve low-income populations across local communities.

Objectives

To examine the geographic availability of community-based specialty mental health treatment resources and how these resources are distributed by community socioeconomic status.

Design, Setting, and Participants

Measures of the availability of specialty mental health treatment resources were derived using national data for 31 836 zip code tabulation areas from 2013 to 2015. Analyses examined the association between community socioeconomic status (assessed by median household income quartiles) and resource availability using logistic regressions. Models controlled for zip code tabulation area-level demographic characteristics and state indicators.

Main Outcomes and Measures

Dichotomous indicators for whether a zip code tabulation area had any (1) outpatient mental health treatment facility (more than nine-tenths of which offer payment arrangements for low-income populations), (2) office-based practice of mental health specialist physician(s), (3) office-based practice of nonphysician mental health professionals (eg, therapists), and (4) mental health facility or office-based practice (ie, any community-based resource).

Results

Of the 31 836 zip code tabulation areas in the study, more than four-tenths (3382 of 7959 [42.5%]) of communities in the highest income quartile (mean income, $81 207) had any community-based mental health treatment resource vs 23.1% of communities (1841 of 7959) in the lowest income quartile (mean income, $30 534) (adjusted odds ratio, 1.74; 95% CI, 1.50-2.03). When examining the distribution of mental health professionals, 25.3% of the communities (2014 of 7959) in the highest income quartile had a mental health specialist physician practice vs 8.0% (637 of 7959) of those in the lowest income quartile (adjusted odds ratio, 3.04; 95% CI, 2.53-3.66). Similarly, 35.1% of the communities (2792 of 7959) in the highest income quartile had a nonphysician mental health professional practice vs 12.9% (1029 of 7959) of those in the lowest income quartile (adjusted odds ratio, 2.77; 95%, 2.35-3.26). In contrast, outpatient mental health treatment facilities were less likely to be located in the communities in the highest vs lowest income quartiles (12.9% [1025 of 7959] vs 16.5% [1317 of 7959]; adjusted odds ratio, 0.43; 95% CI, 0.37-0.51). More than seven-tenths of the lowest income communities with any resource (71.5% [1317 of 1841]) had an outpatient mental health treatment facility.

Conclusions and Relevance

Mental health treatment facilities are more likely to be located in poorer communities, whereas office-based practices of mental health professionals are more likely to be located in higher-income communities. These findings indicate that mental health treatment facilities constitute the backbone of the specialty mental health treatment infrastructure in low-income communities. Policies are needed to support and expand available resources for this critical infrastructure.

A systematic review of help-seeking and mental health service utilization among military service members

Research has demonstrated that military service members are at elevated risk for a range of psychiatric problems, and mental health services use is a conduit to symptom reduction and remission. Nonetheless, there is a notable underutilization of mental health services in this population. This systematic review aimed to identify and critically examine: (1) rates of service use; (2) barriers and facilitators to care; and (3) programs and interventions designed to enhance willingness to seek care and increase help-seeking behaviors among current military personnel (e.g., active duty, National Guard, Reserve). Overall, 111 peer-reviewed articles were identified for inclusion. Across studies, the rate of past-year service use among service members with mental health problems during the same time frame was 29.3% based on weighted averages. Studies identified common barriers to care (e.g., concerns regarding stigma, career impact) and facilitators to care (e.g., positive attitudes toward treatment, family/friend support, military leadership support) among this population. Although programs (e.g., screening, gatekeeper training) have been developed to reduce these barriers, leverage facilitators, and encourage service use, further research is needed to empirically test the effectiveness of these interventions in increasing rates of service utilization. Critical areas for future research on treatment engagement among this high-risk population are discussed.

The Impact of Preexisting Mental Health Disorders on the Diagnosis, Treatment, and Survival among Lung Cancer Patients in the U.S. Military Health System

BACKGROUND

Higher cancer-related mortality has been observed among people with mental health disorders than in the general population. Both delay in diagnosis and inadequate treatment due to health care access have been found to explain the higher mortality. The U.S. Military Health System (MHS), in which all beneficiaries have equal access to health care, provides an ideal system to study this disparity where there are no or minimal barriers to health care access. This study assessed preexisting mental health disorders and stage at diagnosis, receipt of cancer treatment, and overall survival among patients with non-small cell lung cancer (NSCLC) in the U.S. MHS.

METHODS

The study used data from the linked database from the Department of Defense's Central Cancer Registry and the MHS Data Repository (MDR). The study subjects included 5,054 patients with histologically confirmed primary NSCLC diagnosed between 1998 and 2007.

RESULTS

Patients with a preexisting mental disorder did not present with more advanced disease at diagnosis than those without. There were no significant differences in receiving cancer treatments between the two groups. However, patients with a mental health disorder had a higher mortality than those without [adjusted HR, 1.11; 95% confidence interval (CI), 1.03-1.20].

CONCLUSIONS

Poor survival in NSCLC in patients with a preexisting mental health disorder is not necessarily associated with delay in diagnosis and/or inadequate cancer treatment.

IMPACT

This study contributes to the current understanding that health care access may not be sufficient to explain the poor survival among patients with NSCLC with preexisting mental health disorders. Cancer Epidemiol Biomarkers Prev; 25(12); 1564-71. ©2016 AACR.

World Health Organization disability assessment schedule 2.0: An international systematic review

PURPOSE

This systematic review examines research and practical applications of the World Health Organization Disability Assessment Schedule (WHODAS 2.0) as a basis for establishing specific criteria for evaluating relevant international scientific literature. The aims were to establish the extent of international dissemination and use of WHODAS 2.0 and analyze psychometric research on its various translations and adaptations. In particular, we wanted to highlight which psychometric features have been investigated, focusing on the factor structure, reliability, and validity of this instrument.

METHOD

Following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, we conducted a search for publications focused on "whodas" using the ProQuest, PubMed, and Google Scholar electronic databases.

RESULTS

We identified 810 studies from 94 countries published between 1999 and 2015. WHODAS 2.0 has been translated into 47 languages and dialects and used in 27 areas of research (40% in psychiatry).

CONCLUSIONS

The growing number of studies indicates increasing interest in the WHODAS 2.0 for assessing individual functioning and disability in different settings and individual health conditions. The WHODAS 2.0 shows strong correlations with several other measures of activity limitations; probably due to the fact that it shares the same disability latent variable with them. Implications for Rehabilitation WHODAS 2.0 seems to be a valid, reliable self-report instrument for the assessment of disability. The increasing interest in use of the WHODAS 2.0 extends to rehabilitation and life sciences rather than being limited to psychiatry. WHODAS 2.0 is suitable for assessing health status and disability in a variety of settings and populations. A critical issue for rehabilitation is that a single "minimal clinically important .difference" score for the WHODAS 2.0 has not yet been established.

Racial and Ethnic Disparities in the Quality of Health Care

The annual National Healthcare Quality and Disparities Reports document widespread and persistent racial and ethnic disparities. These disparities result from complex interactions between patient factors related to social disadvantage, clinicians, and organizational and health care system factors. Separate and unequal systems of health care between states, between health care systems, and between clinicians constrain the resources that are available to meet the needs of disadvantaged groups, contribute to unequal outcomes, and reinforce implicit bias. Recent data suggest slow progress in many areas but have documented a few notable successes in eliminating these disparities. To eliminate these disparities, continued progress will require a collective national will to ensure health care equity through expanded health insurance coverage, support for primary care, and public accountability based on progress toward defined, time-limited objectives using evidence-based, sufficiently resourced, multilevel quality improvement strategies that engage patients, clinicians, health care organizations, and communities.

Predictors of treatment utilization and unmet treatment need among individuals with posttraumatic stress disorder from a national sample

OBJECTIVE

Posttraumatic stress disorder (PTSD) is a chronic psychiatric condition associated with significant disability that often remains untreated. Sociodemographic and family-level factors may serve as predictors of unmet treatment need, identifying groups that would most benefit from policies aimed at increasing access to the mental health care system.

METHOD

Data from the nationally representative Collaborative Psychiatric Epidemiologic Surveys were used to identify predictors of mental health treatment utilization, both with a mental health specialist and with a general health practitioner, and self-reported unmet treatment need among individuals who endorsed past-year PTSD. We defined unmet treatment need as self-reporting a mental health problem and not accessing mental health care in the general or specialty mental health care system.

RESULTS

Among 600 participants, predictors of unmet treatment need included being non-Latino black [odds ratio (OR) 2.11, 95% confidence interval (CI) 1.25-3.54], having a high school education versus some college (OR 2.45, 95% CI 1.34-4.48), and being employed or unemployed versus not being in the workforce (OR 1.74, 95% CI 1.00-3.02 and OR 4.95, 95% CI 1.60-15.34, respectively). Recursive partitioning identified younger age and being married as predictors of low treatment utilization.

CONCLUSIONS

Future research should elucidate barriers to accessing treatment among those with PTSD in these underserved groups.

Effect of Medicaid Expansions on Health Insurance Coverage and Access to Care among Low-Income Adults with Behavioral Health Conditions

OBJECTIVE

To examine the effect of Medicaid expansions on health insurance coverage and access to care among low-income adults with behavioral health conditions.

DATA SOURCES/STUDY SETTING

Nine years (2004-2012) of individual-level cross-sectional data from a restricted-access version of National Survey on Drug Use and Health.

STUDY DESIGN

A quasi-experimental difference-in-differences design comparing outcomes among residents in 14 states that implemented Medicaid expansions for low-income adults under the Section §1115 waiver with those residing in the rest of the country.

DATA COLLECTION/EXTRACTION METHODS

The analytic sample includes low-income adult respondents with household incomes below 200 percent of the federal poverty level who have a behavioral health condition: approximately 28,400 low-income adults have past-year serious psychological distress and 24,900 low-income adults have a past-year substance use disorder (SUD).

PRINCIPAL FINDINGS

Among low-income adults with behavioral health conditions, Medicaid expansions were associated with a reduction in the rate of uninsurance (p < .05), a reduction in the probability of perceiving an unmet need for mental health (MH) treatment (p < .05) and for SUD treatment (p < .05), as well as an increase in the probability of receiving MH treatment (p < .01).

CONCLUSIONS

The ongoing implementation of Medicaid expansions has the potential to improve health insurance coverage and access to care for low-income adults with behavioral health conditions.