Elizabeth Reisinger Walker

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.

Distance delivery of mindfulness-based cognitive therapy for depression: project UPLIFT.

This study evaluated the efficacy of a newly developed, home-based depression intervention for people with epilepsy. Based on mindfulness-based cognitive therapy (MBCT), the eight-session, weekly intervention was designed for group delivery via the Internet or telephone. Forty participants were randomly assigned to intervention or waitlist. Depressive symptoms and other outcomes were measured at baseline, after intervening in the intervention group (~8 weeks), and after intervening in the waitlist group (~16 weeks). Depressive symptoms decreased significantly more in the intervention group than the waitlist group; Internet and telephone did not differ. This effect persisted over the 8 weeks when those waitlisted received the intervention. Knowledge/skills increased significantly more in the intervention than the waitlist group. All other changes, though not significant, were in the expected direction. Findings indicate that distance delivery of group MBCT can be effective in reducing symptoms of depression in people with epilepsy. Directions for future research are proposed.

Results of a research study evaluating WebEase, an online epilepsy self-management program

WebEase (Epilepsy Awareness, Support, and Education) is an online epilepsy self-management program to assist people with taking medication, managing stress, and improving sleep quality. The primary study aims were to determine if those who participated in WebEase demonstrated improvements in medication adherence, perceived stress, and sleep quality. Participants were randomized to a treatment (T) or waitlist control (WCL) group (n=148). At follow-up, participants in the T group reported higher levels of medication adherence than those in the WLC group. Analyses were also conducted comparing those who had completed WebEase modules with those who had not. Those who had completed at least some modules within the WebEase program reported higher levels of self-efficacy and a trend toward significance was observed for the group×time interactions for medication adherence, perceived stress, self-management, and knowledge. The results highlight the usefulness of online tools to support self-management among people with epilepsy.

The onset of suicidal ideation in childhood and adolescence.

Event history analysis is used to address questions about the timing of first suicidal ideation during preadolescence and adolescence. Are suicidal thoughts atypical during development? Does the age trajectory of suicidal thoughts parallel that of suicidal actions? Do factors that moderate the risk of suicidal actions also moderate the risk of suicidal thoughts, and does their influence vary by developmental stage? Based on life history data from 364 college students, results indicate that suicidal thoughts in childhood are typical and that the risk of such thoughts begins to increase by age nine. Risk rates are affected by demographic factors (gender, race) and by the experience of parental absence. However, the influence of these factors depends on developmental stage, with whites being at increased risk only during adolescence, and parental absence having its strongest effect during preadolescence. In sum, this study suggests that many children and adolescents contemplate suicide, that the risk of doing so begins to increase at an early age, and that clear similarities exist between those groups at heightened risk for suicidal thought and those at heightened risk for suicidal action. Moreover, this study illustrates the power of employing an analytic technique suitable for modeling transitions. Finally, it highlights the need to model differential influences on suicidal ideation at different stages in development.

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.

Formative and process evaluations of a cognitive-behavioral therapy and mindfulness intervention for people with epilepsy and depression

People with chronic diseases are at high risk for depression, resulting in a need for effective and accessible treatment options. Project UPLIFT is a program based on cognitive-behavioral therapy and mindfulness that is aimed at reducing depressive symptoms among people with epilepsy. It is designed to be delivered to small groups of people over the phone or Internet. This study describes the formative and process evaluations of Project UPLIFT; the purpose of these evaluations was to assess the acceptability and feasibility of the program, looking at both the program components and delivery methods. The formative evaluation, conducted prior to program implementation, included nine participants in three focus groups. The process evaluation included qualitative comments and responses to the Client Satisfaction Questionnaire from 38 Project UPLIFT pilot study participants. Overall, the results from both evaluations indicate that participants felt that Project UPLIFT was acceptable and perceived to be beneficial.

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.

Social support for self-management behaviors among people with epilepsy: A content analysis of the WebEase program

Social support is an important component in managing epilepsy; however little is known about support provided to people with epilepsy. This study examined whom people with epilepsy identify as supportive, and how those individuals support people with epilepsys self-management efforts. Data come from the WebEase project, an effective online epilepsy self-management program. People with epilepsy who participated in the pilot (n=35) and efficacy trials (n=118) were included. A content analysis was conducted on responses to open-ended questions related to support. The majority of participants provided information about their supporters. The number of support providers ranged from 0 to 6, with about 12% indicating no support. Parents and significant others were most commonly listed as supporters. Support providers mainly offer emotional and instrumental support, reminders and aid for taking medication, and support for self-management strategies. These results could be useful for interventions aimed at bolstering support in order to improve self-management.

Cumulative burden of comorbid mental disorders, substance use disorders, chronic medical conditions, and poverty on health among adults in the U.S.A.

Abstract The health of individuals in the U.S.A. is increasingly being defined by complexity and multimorbidity. We examined the patterns of co-occurrence of mental illness, substance abuse/dependence, and chronic medical conditions and the cumulative burden of these conditions and living in poverty on self-rated health. We conducted a secondary data analysis using publically-available data from the National Survey on Drug Use and Health (NSDUH), which is an annual nationally-representative survey. Pooled data from the 2010–2012 NSDUH surveys included 115,921 adults 18 years of age or older. The majority of adults (52.2%) had at least one type of condition (mental illness, substance abuse/dependence, or chronic medical conditions), with substantial overlap across the conditions. 1.2%, or 2.2 million people, reported all three conditions. Generally, as the number of conditions increased, the odds of reporting worse health also increased. The likelihood of reporting fair/poor health was greatest for people who reported AMI, chronic medical conditions, and poverty (AOR = 9.41; 95% CI: 7.53–11.76), followed by all three conditions and poverty (AOR = 9.32; 95% CI: 6.67–13.02). For each combination of conditions, the addition of poverty increased the likelihood of reporting fair/poor health. Traditional conceptualizations of multimorbidity should be expanded to take into account the complexities of co-occurrence between mental illnesses, chronic medical conditions, and socioeconomic factors.

Using Rasch measurement theory to assess three depression scales among adults with epilepsy

People with chronic conditions, such as epilepsy, are at a high risk for depression; however depression is often under-recognized and undertreated. Depression scales, including one specific to people with epilepsy, have been used for screening in this population, although none have been assessed with Rasch measurement theory. This study used Rasch analyses in order to evaluate and compare the psychometric properties of the modified Beck Depression Inventory, the Patient Health Questionnaire, and the Neurological Disorders Depression Inventory for Epilepsy in a sample of people with epilepsy and depression who participated in an intervention designed to reduce depressive symptoms. A secondary purpose was to assess item functioning across time. The sample includes 44 participants in the Project UPLIFT program who completed the assessments before and after taking part in the intervention. Results of the Rasch analysis indicate that the three depression scales functioned as intended. There was good overall targeting between the items and the sample, acceptable model-data fit, and good reliability of separation for persons, items, and time. The participants experienced a significant decrease in depressive symptoms from pretest to posttest. This study illustrates the value of using model-based measurement with the Rasch model to combine items across the three depression scales. It also demonstrates an approach for analyzing and evaluating the results of small scale intervention programs, such as the UPLIFT program.