Explore the vast range of titles available.

The past half-century has been marked by major changes in the treatment of mental illness: important advances in understanding mental illnesses, increases in spending on mental health care and support of people with mental illnesses, and the availability of new medications that are easier for the patient to tolerate. Although these changes have made things better for those who have mental illness, they are not quite enough. In Better But Not Well, Richard G. Frank and Sherry A. Glied examine the well-being of people with mental illness in the United States over the past fifty years, addressing issues such as economics, treatment, standards of living, rights, and stigma. Marshaling a range of new empirical evidence, they first argue that people with mental illness—severe and persistent disorders as well as less serious mental health conditions—are faring better today than in the past. Improvements have come about for unheralded and unexpected reasons. Rather than being a result of more effective mental health treatments, progress has come from the growth of private health insurance and of mainstream social programs—such as Medicaid, Supplemental Security Income, housing vouchers, and food stamps—and the development of new treatments that are easier for patients to tolerate and for physicians to manage. The authors remind us that, despite the progress that has been made, this disadvantaged group remains worse off than most others in society. The \"mainstreaming\" of persons with mental illness has left a policy void, where governmental institutions responsible for meeting the needs of mental health patients lack resources and programmatic authority. To fill this void, Frank and Glied suggest that institutional resources be applied systematically and routinely to examine and address how federal and state programs affect the well-being of people with mental illness.

Although spending rates on health care and social services vary substantially across the states, little is known about the possible association between variation in state-level health outcomes and the allocation of state spending between health care and social services. To estimate that association, we used state-level repeated measures multivariable modeling for the period 2000-09, with region and time fixed effects adjusted for total spending and state demographic and economic characteristics and with one- and two-year lags. We found that states with a higher ratio of social to health spending (calculated as the sum of social service spending and public health spending divided by the sum of Medicare spending and Medicaid spending) had significantly better subsequent health outcomes for the following seven measures: adult obesity; asthma; mentally unhealthy days; days with activity limitations; and mortality rates for lung cancer, acute myocardial infarction, and type 2 diabetes. Our study suggests that broadening the debate beyond what should be spent on health care to include what should be invested in health-not only in health care but also in social services and public health-is warranted.

Under the Affordable Care Act, up to thirteen million adults have the opportunity to obtain health insurance through an expansion of the Medicaid program. A great deal of effort is currently being devoted to eligibility verification, outreach, and enrollment. We look beyond these important first-phase challenges to consider what people who are transitioning back to the community after incarceration need to receive effective care. It will be possible to deliver cost-effective, high-quality care to this population only if assistance is coordinated between the correctional facility and the community, and across diverse treatment and support organizations in the community. This article discusses several examples of successful coordination of care for formerly incarcerated people, such as Project Bridge and the Community Partnerships and Supportive Services for HIV-Infected People Leaving Jail (COMPASS) program in Rhode Island and the Transitions Clinic program that operates in ten US cities. To promote broader adoption of successful models, we offer four policy recommendations for overcoming barriers to integrating individuals into sustained, community-based care following their release from incarceration. [PUBLICATION ABSTRACT]

Objectives. We sought to investigate longitudinal trends and risk factors for mental health diagnoses among Iraq and Afghanistan veterans. Methods. We determined the prevalence and predictors of mental health diagnoses among 289 328 Iraq and Afghanistan veterans entering Veterans Affairs (VA) health care from 2002 to 2008 using national VA data. Results. Of 289 328 Iraq and Afghanistan veterans, 106 726 (36.9%) received mental health diagnoses; 62 929 (21.8%) were diagnosed with posttraumatic stress disorder (PTSD) and 50 432 (17.4%) with depression. Adjusted 2-year prevalence rates of PTSD increased 4 to 7 times after the invasion of Iraq. Active duty veterans younger than 25 years had higher rates of PTSD and alcohol and drug use disorder diagnoses compared with active duty veterans older than 40 years (adjusted relative risk = 2.0 and 4.9, respectively). Women were at higher risk for depression than were men, but men had over twice the risk for drug use disorders. Greater combat exposure was associated with higher risk for PTSD. Conclusions. Mental health diagnoses increased substantially after the start of the Iraq War among specific subgroups of returned veterans entering VA health care. Early targeted interventions may prevent chronic mental illness.

Objectives. To examine whether growing use of telemental health (TMH) has reduced the rural–urban gap in specialty mental health care use in the United States. Methods. Using 2010–2017 Medicare data, we analyzed trends in the rural–urban difference in rates of specialty visits (in-person and TMH). Results. Among rural beneficiaries diagnosed with schizophrenia or bipolar disorder, TMH use grew by 425% over the 8 years and, in higher-use rural areas, accounted for one quarter of all specialty mental health visits in 2017. Among patients with schizophrenia or bipolar disorder, TMH visits differentially grew in rural areas by 0.14 visits from 2010 to 2017. This growth partially offset the 0.42-visit differential decline in in-person visits in rural areas. In net, the gap between rural and urban patients in specialty visits was larger by 2017. Conclusions. TMH has improved access to specialty care in rural areas, particularly for individuals diagnosed with schizophrenia or bipolar disorder. While growth in TMH use has been insufficient to eliminate the overall rural–urban difference in specialty care use, this difference may have been larger if not for TMH. Public Health Implications. Targeted policy to extend TMH to underserved areas may help offset declines in in-person specialty care.

With increasing rates of opioid overdoses in the US, a surveillance tool to identify high-risk patients may help facilitate early intervention. To develop an algorithm to predict overdose using routinely-collected healthcare databases. Within a US commercial claims database (2011-2015), patients with ≥1 opioid prescription were identified. Patients were randomly allocated into the training (50%), validation (25%), or test set (25%). For each month of follow-up, pooled logistic regression was used to predict the odds of incident overdose in the next month based on patient history from the preceding 3-6 months (time-updated), using elastic net for variable selection. As secondary analyses, we explored whether using simpler models (few predictors, baseline only) or different analytic methods (random forest, traditional regression) influenced performance. We identified 5,293,880 individuals prescribed opioids; 2,682 patients (0.05%) had an overdose during follow-up (mean: 17.1 months). On average, patients who overdosed were younger and had more diagnoses and prescriptions. The elastic net model achieved good performance (c-statistic 0.887, 95% CI 0.872-0.902; sensitivity 80.2, specificity 80.1, PPV 0.21, NPV 99.9 at optimal cutpoint). It outperformed simpler models based on few predictors (c-statistic 0.825, 95% CI 0.808-0.843) and baseline predictors only (c-statistic 0.806, 95% CI 0.787-0.26). Different analytic techniques did not substantially influence performance. In the final algorithm based on elastic net, the strongest predictors were age 18-25 years (OR: 2.21), prior suicide attempt (OR: 3.68), opioid dependence (OR: 3.14). We demonstrate that sophisticated algorithms using healthcare databases can be predictive of overdose, creating opportunities for active monitoring and early intervention.

There is increasing concern about the extent to which narrow-network plans, generally defined as those including fewer than 25 percent of providers in a given health insurance market, affect consumers' choice of and access to specialty providers-particularly in mental health care. Using data for 2016 from 531 unique provider networks in the Affordable Care Act Marketplaces, we evaluated how network size and the percentage of providers who participate in any network differ between mental health care providers and a control group of primary care providers. Compared to primary care networks, participation in mental health networks was low, with only 42.7 percent of psychiatrists and 19.3 percent of nonphysician mental health care providers participating in any network. On average, plan networks included 24.3 percent of all primary care providers and 11.3 percent of all mental health care providers practicing in a given state-level market. These findings raise important questions about provider-side barriers to meeting the goal of mental health parity regulations: that insurers cover mental health services on a par with general medical and surgical services. Concerted efforts to increase network participation by mental health care providers, along with greater regulatory attention to network size and composition, could improve consumer choice and complement efforts to achieve mental health parity.

National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure–the Healthcare Quality and Access (HAQ) Index–on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r=0·88), an index of 11 universal health coverage interventions (r=0·83), and human resources for health per 1000 (r=0·77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertility rates. This frontier allowed us to better quantify the maximum levels of personal health-care access and quality achieved across the development spectrum, and pinpoint geographies where gaps between observed and potential levels have narrowed or widened over time. Between 1990 and 2015, nearly all countries and territories saw their HAQ Index values improve; nonetheless, the difference between the highest and lowest observed HAQ Index was larger in 2015 than in 1990, ranging from 28·6 to 94·6. Of 195 geographies, 167 had statistically significant increases in HAQ Index levels since 1990, with South Korea, Turkey, Peru, China, and the Maldives recording among the largest gains by 2015. Performance on the HAQ Index and individual causes showed distinct patterns by region and level of development, yet substantial heterogeneities emerged for several causes, including cancers in highest-SDI countries; chronic kidney disease, diabetes, diarrhoeal diseases, and lower respiratory infections among middle-SDI countries; and measles and tetanus among lowest-SDI countries. While the global HAQ Index average rose from 40·7 (95% uncertainty interval, 39·0–42·8) in 1990 to 53·7 (52·2–55·4) in 2015, far less progress occurred in narrowing the gap between observed HAQ Index values and maximum levels achieved; at the global level, the difference between the observed and frontier HAQ Index only decreased from 21·2 in 1990 to 20·1 in 2015. If every country and territory had achieved the highest observed HAQ Index by their corresponding level of SDI, the global average would have been 73·8 in 2015. Several countries, particularly in eastern and western sub-Saharan Africa, reached HAQ Index values similar to or beyond their development levels, whereas others, namely in southern sub-Saharan Africa, the Middle East, and south Asia, lagged behind what geographies of similar development attained between 1990 and 2015. This novel extension of the GBD Study shows the untapped potential for personal health-care access and quality improvement across the development spectrum. Amid substantive advances in personal health care at the national level, heterogeneous patterns for individual causes in given countries or territories suggest that few places have consistently achieved optimal health-care access and quality across health-system functions and therapeutic areas. This is especially evident in middle-SDI countries, many of which have recently undergone or are currently experiencing epidemiological transitions. The HAQ Index, if paired with other measures of health-system characteristics such as intervention coverage, could provide a robust avenue for tracking progress on universal health coverage and identifying local priorities for strengthening personal health-care quality and access throughout the world. Bill & Melinda Gates Foundation.

This study updates previous estimates of US spending on mental health and substance use disorders through 2014. The results reveal that the long-term trend of greater insurance financing of mental health care continued in recent years. The share of total mental health treatment expenditures financed by private insurance, Medicare, and Medicaid increased from 44 percent in 1986 to 68 percent in 2014. In contrast, the share of spending for substance use disorder treatment financed by private insurance, Medicare, and Medicaid was 45 percent in 1986 and 46 percent in 2014. From 2004 to 2013, a growing percentage of adults received mental health treatment (12.6 percent and 14.6 percent, respectively), albeit only because of the increased use of psychiatric medications. In the same period, only 1.2-1.3 percent of adults received substance use disorder treatment in inpatient, outpatient, or residential settings, although the use of medications to treat substance use disorders increased rapidly.

The United States is engaged in ongoing dialogue around mental illness. To assess trends in this national discourse, we studied the volume and content of a random sample of 400 news stories about mental illness from the period 1995-2014. Compared to news stories in the first decade of the study period, those in the second decade were more likely to mention mass shootings by people with mental illnesses. The most frequently mentioned topic across the study period was violence (55 percent overall) divided into categories of interpersonal violence or self-directed (suicide) violence, followed by stories about any type of treatment for mental illness (47 percent). Fewer news stories, only 14 percent, described successful treatment for or recovery from mental illness. The news media's continued emphasis on interpersonal violence is highly disproportionate to actual rates of violence among those with mental illnesses. Research suggests that this focus may exacerbate social stigma and decrease support for public policies that benefit people with mental illnesses.