Clinical Profiles and Health Services Patterns of Medicaid-Enrolled Youths Who Died by Suicide.

Importance: Youth suicide is a major public health problem, and health care settings play a critical role in suicide prevention efforts, but limited data are available to date on health and mental health service use patterns before suicide. Objective: To compare the clinical profiles and patterns of use of health and mental health care services among children and adolescents who died by suicide and a matched living control group. Design, Setting, and Participants: This population-based case-control study used Medicaid data from 16 states merged with mortality data. Suicide cases (n = 910) included all youths aged 10 to 18 years who died by suicide from January 1, 2009, to December 31, 2013. Controls (n = 6346) were matched to suicide cases on sex, race, ethnicity, Medicaid eligibility category, state, and age. Data were analyzed from July 18 to November 19, 2019. Exposures: Use of health and mental health care services. Main Outcomes and Measures: Health and behavioral health care visits in the 6-month period before the index date (date of suicide). Associations among visits, clinical characteristics, and suicide were examined using logistic regression. Results: The study population of 7256 Medicaid-enrolled youths included 5292 males (72.9%) with a mean (SD) age of 15.7 (2.0) years at the index date; 3619 (49.9%) were non-Hispanic white. Three hundred seventy-six suicide decedents (41.3%) had a mental health diagnosis in the 6 months before death compared with 1111 controls (17.5%; P < .001). A greater proportion of suicide decedents than controls used services before the index date (in 6 months, 687 suicide decedents [75.5%] vs 3669 controls [57.8%]; odds ratio [OR], 2.39 [95% CI, 2.02-2.82]). Suicide risk was highest among youths with epilepsy (OR, 4.89; 95% CI, 2.81-8.48; P < .001), depression (OR, 3.19; 95% CI, 2.49-4.09; P < .001), schizophrenia (OR, 3.18; 95% CI, 2.00-5.06; P < .001), substance use disorder (OR, 2.65; 95% CI, 1.67-4.20; P < .001), and bipolar disorder (OR, 2.09; 95% CI, 1.58-2.76; P < .001). More mental health visits within the 30 days before the index date were associated with decreased odds of suicide (OR, 0.78; 95% CI, 0.65-0.92; P = .005). Conclusions and Relevance: This study found that among youths aged 10 to 18 years who were enrolled in Medicaid, clinical characteristics and patterns of use of health care services among suicide decedents were distinct from those of nonsuicide controls. Implementation of suicide screening protocols for youths enrolled in Medicaid, targeted based on the frequency of visits, psychiatric diagnoses, and epilepsy, may have the potential to decrease suicide rates.

Suicide in Older Adults in Ohio: Characteristics, Precipitants, and Mental Health Service Utilization.

The objective of the research is to examine characteristics of Ohio suicide decedents ages 65 + (N = 1273) and factors associated with behavioral health (BH) services utilization. The Ohio Violent Death Reporting System, 2012-2015, was the data source. Logistic regression analyses were used to examine the association among characteristics, suicide means, and BH service utilization. Of the study subjects, 96.0% were non-Hispanic white; 84.6%, male; and 63.0% living in urban areas. About 75.1% used firearms; 27.6% reported recent BH treatment. Those who were never married, depressed, and had a prior suicide attempt were more likely to have BH treatment within two months of death. Findings suggest a need for training of primary and BH providers to improve screening and assessment, treatment, and follow up care for older adults, especially those with histories of suicide attempts, depression, and firearm access. Suggested interventions include annual BH screenings and lethal means restriction at the individual and community levels.

Mapping suicide mortality in Ohio: A spatial epidemiological analysis of suicide clusters and area level correlates.

Previous studies have investigated spatial patterning and associations of area characteristics with suicide rates in Western and Asian countries, but few have been conducted in the United States. This ecological study aims to identify high-risk clusters of suicide in Ohio and assess area level correlates of these clusters. We estimated spatially smoothed standardized mortality ratios (SMR) using Bayesian conditional autoregressive models (CAR) for the period 2004 to 2013. Spatial and spatio-temporal scan statistics were used to detect high-risk clusters of suicide at the census tract level (N=2952). Logistic regression models were used to examine the association between area level correlates and suicide clusters. Nine statistically significant (p<0.05) high-risk spatial clusters and two space-time clusters were identified. We also identified several significant spatial clusters by method of suicide. The risk of suicide was up to 2.1 times higher in high-risk clusters than in areas outside of the clusters (relative risks ranged from 1.22 to 2.14 (p<0.01)). In the multivariate model, factors strongly associated with area suicide rates were socio-economic deprivation and lower provider densities. Efforts to reduce poverty and improve access to health and mental health medical services on the community level represent potentially important suicide prevention strategies.

Service Use in the Month and Year Prior to Suicide Among Adults Enrolled in Ohio Medicaid.

OBJECTIVES: The purpose of this study was to inform suicide prevention efforts by estimating the incidence of suicide among adult Medicaid enrollees and describing clinical profiles and service utilization patterns among decedents. METHODS: Death certificate data for adults (N=1,338) ages 19 to 65 who died by suicide between January 1, 2008, and December 31, 2013, were linked with Ohio Medicaid data. RESULTS: The suicide rate was 18.9 deaths per 100,000 Ohio Medicaid enrollees. Most decedents (83%) made a general medical or mental health visit within one year of suicide, with 50% doing so within 30 days and 27% within one week before death. In the year before suicide, the median number of visits was 16, indicating a subgroup with intensive service utilization. Decedents whose visits were proximal to suicide (within 30 days) rather than distal (31-365 days) were more likely to have individual and co-occurring behavioral and general medical conditions and to be Medicaid eligible through disability. In the year before suicide, most visits (79%) were outpatient general medical visits. Also in the year before suicide, decedents with serious psychiatric disorders were more likely than those without such disorders to make only mental health visits, and those with chronic general medical conditions were more likely than those without such conditions to make only general medical visits. CONCLUSIONS: Medicaid enrollment designates a "virtual boundary" around a subpopulation of health care consumers relevant to national suicide prevention efforts. Findings highlight the potential of using Medicaid data to identify individuals at risk of suicide for screening, prevention, and intervention.

Benzodiazepine use and risk of mortality among patients with schizophrenia: a retrospective longitudinal study.

OBJECTIVE: This study examined the association between benzodiazepine use alone or in combination with antipsychotics and risk of mortality in patients with schizophrenia. METHODS: A retrospective longitudinal analysis was performed using Medicaid claims data merged with death certificate data for 18,953 patients (aged 18-58 years) with ICD-9-diagnosed schizophrenia followed from July 1, 2006, to December 31, 2013. Cox proportional hazard analyses were used to estimate the risk of all-cause mortality associated with benzodiazepine use; adjustment was made for a wide array of fixed and time-varying confounders, including demographics, psychiatric and medical comorbidities, and other psychotropic medications. RESULTS: Of the 18,953 patients diagnosed with schizophrenia, 13,741 (72.5%) were not prescribed a benzodiazepine, 3,476 (18.3%) were prescribed benzodiazepines in the absence of antipsychotic medication, and 1,736 (9.2%) were prescribed benzodiazepines in combination with antipsychotics. Controlling for a wide array of demographic and clinical variables, the hazard of mortality was 208% higher for patients prescribed benzodiazepines without an antipsychotic (HR = 3.08; 95% CI, 2.63-3.61; P < .001) and 48% higher for patients prescribed benzodiazepines in combination with antipsychotics (HR = 1.48; 95% CI, 1.15-1.91; P = .002). Benzodiazepine-prescribed patients were at greater risk of death by suicide and accidental poisoning as well as from natural causes. CONCLUSIONS: Benzodiazepine use is associated with increased mortality risk in patients with schizophrenia after adjusting for a wide range of potential confounders. Given unproven efficacy, physicians should exercise caution in prescribing benzodiazepines to schizophrenic patients.

Factors Associated With Timely Follow-Up Care After Psychiatric Hospitalization for Youths With Mood Disorders.

OBJECTIVES: This study identified patient-, hospital-, and community-level factors associated with timely follow-up care following psychiatric hospitalization for children and adolescents with mood disorders. METHODS: The patients were 7,826 youths (ages six to 17) admitted to psychiatric hospitals with a primary diagnosis of mood disorder (July 2009-November 2010). Outcome variables were defined as one or more mental health visits within seven days and 30 days of psychiatric hospitalization. Predictor variables included patient-, hospital-, and community-level factors obtained from Medicaid claim files from four states (California, Florida, Maryland, and Ohio), the American Hospital Association annual survey, and the Area Resource File. Multilevel modeling was used to assess the association between patient-, hospital-, and community-level factors and receipt of follow-up care. RESULTS: Following discharge, an outpatient mental health visit was obtained by 48.9% of children and adolescents within seven days and by 69.2% of children and adolescents within 30 days. Positive predictors of follow-up at both seven and 30 days included prior outpatient mental health care, foster care, psychiatric comorbidity, care in teaching hospitals and psychiatric hospitals, and residence in counties with more child and adolescent psychiatrists. Negative predictors included older age, black race, care in hospitals with higher levels of Medicaid penetration, and substance use disorders. CONCLUSIONS: One in three youths did not receive mental health follow-up in the 30 days after psychiatric hospitalization. Linkage to follow-up care appears to be complex and multidetermined. Study findings underscored the need for quality improvement interventions targeting vulnerable populations and promoting successful transitions from inpatient to outpatient care.

A Comparison of Benefit Limits in Mental Health.

This study provides insight to policy makers and stakeholders on how three types of benefits limits on Medicaid-covered mental health services might affect access for consumers diagnosed with severe mental illness. The study used a retrospective cohort design with data for Medicaid-covered, community-based mental health services provided in Ohio during fiscal year 2010. Log-binomial regression was used for the analysis. Results indicate that limits compared have significant, varying consequences based on Medicaid coverage and diagnoses. When constraining Medicaid costs, policy makers should consider how limits will disrupt care and include clinicians in discussions prior to implementation.

Widening rural-urban disparities in youth suicides, United States, 1996-2010.

IMPORTANCE: Little is known about recent trends in rural-urban disparities in youth suicide, particularly sex- and method-specific changes. Documenting the extent of these disparities is critical for the development of policies and programs aimed at eliminating geographic disparities. OBJECTIVE: To examine trends in US suicide mortality for adolescents and young adults across the rural-urban continuum. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal trends in suicide rates by rural and urban areas between January 1, 1996, and December 31, 2010, were analyzed using county-level national mortality data linked to a rural-urban continuum measure that classified all 3141 counties in the United States into distinct groups based on population size and adjacency to metropolitan areas. The population included all suicide decedents aged 10 to 24 years. MAIN OUTCOMES AND MEASURES: Rates of suicide per 100,000 persons. RESULTS: Across the study period, 66,595 youths died by suicide, and rural suicide rates were nearly double those of urban areas for both males (19.93 and 10.31 per 100,000, respectively) and females (4.40 and 2.39 per 100,000, respectively). Even after controlling for a wide array of county-level variables, rural-urban suicide differentials increased over time for males, suggesting widening rural-urban disparities (1996-1998: adjusted incidence rate ratio [IRR], 0.98; 2008-2010: adjusted IRR, 1.19; difference in IRR, P = .02). Firearm suicide rates declined, and the rates of hanging/suffocation for both males and females increased. However, the rates of suicide by firearm (males: 1996-1998, 2.05; and 2008-2010: 2.69 times higher) and hanging/suffocation (males: 1996-1998, 1.24; and 2008-2010: 1.63 times higher) were disproportionately higher in rural areas, and rural-urban differences increased over time (P = .002 for males; P = .06 for females). CONCLUSIONS AND RELEVANCE: Suicide rates for adolescents and young adults are higher in rural than in urban communities regardless of the method used, and rural-urban disparities appear to be increasing over time. Further research should carefully explore the mechanisms whereby rural residence might increase suicide risk in youth and consider suicide-prevention efforts specific to rural settings.

The impact of the great recession on community-based mental health organizations: an analysis of top managers' perceptions of the economic downturn's effects and adaptive strategies used to manage the consequences in Ohio.

The Great Recession of 2007-2009 adversely affected the financial stability of the community-based mental health infrastructure in Ohio. This paper presents survey results of the type of adaptive strategies used by Ohio community-based mental health organizations to manage the consequences of the economic downturn. Results were aggregated into geographical classifications of rural, mid-sized urban, and urban. Across all groups, respondents perceived, to varying degrees, that the Great Recession posed a threat to their organization's survival. Urban organizations were more likely to implement adaptive strategies to expand operations while rural and midsized urban organizations implemented strategies to enhance internal efficiencies.

Analyzing excess mortality from cancer among individuals with mental illness.

BACKGROUND: The objective was to compare patterns of site-specific cancer mortality in a population of individuals with and without mental illness. METHODS: This was a cross-sectional, population-based study using a linked data set comprised of death certificate data for the state of Ohio for the years 2004-2007 and data from the publicly funded mental health system in Ohio. Decedents with mental illness were those identified concomitantly in both data sets. We used age-adjusted standardized mortality ratios (SMRs) in race- and sex-specific person-year strata to estimate excess deaths for each of the anatomic cancer sites. RESULTS: Overall, there was excess mortality from cancer associated with having mental illness in all the race/sex strata: SMR, 2.16 (95% CI, 1.85-2.50) for black men; 2.63 (2.31-2.98) for black women; 3.89 (3.61-4.19) for nonblack men; and 3.34 (3.13-3.57) for nonblack women. In all the race/sex strata except for black women, the highest SMR was observed for laryngeal cancer, 3.94 (1.45-8.75) in black men and 6.51 (3.86-10.35) and 6.87 (3.01-13.60) in nonblack men and women, respectively. The next highest SMRs were noted for hepatobiliary cancer and cancer of the urinary tract in all race/sex strata, except for black men. CONCLUSIONS: Compared with the general population in Ohio, individuals with mental illness experienced excess mortality from most cancers, possibly explained by a higher prevalence of smoking, substance abuse, and chronic hepatitis B or C infections in individuals with mental illness. Excess mortality could also reflect late-stage diagnosis and receipt of inadequate treatment.

Analysis of causes of death for all decedents in Ohio with and without mental illness, 2004-2007.

OBJECTIVE: This study compared causes of death, crude mortality rates, and standardized mortality ratios (SMRs) between decedents with mental illness in Ohio's publicly funded mental health system ("mental illness decedents") and all Ohio decedents. METHODS: Ohio death certificates and Ohio Department of Mental Health service utilization data were used to assess mortality among decedents from 2004 to 2007. Age-adjusted SMRs and age-adjusted mortality rates were calculated across race and sex strata. RESULTS: Mental illness decedents accounted for 3.3% of all 438,749 Ohio deaths. Age-adjusted SMRs varied widely across the race and sex strata and by cause of death. Nonblacks with or without mental illness showed higher SMRs than blacks. Nonblack females with mental illness showed the highest SMRs in injury-related deaths. Higher SMRs were found for deaths associated with substance abuse; mental illness; diabetes; issues related to the nervous, cardiovascular, or respiratory systems; and injury. With and without mental illness, the top cause of death was violence for youths and cardiovascular disease for adults >35. CONCLUSIONS: Deaths from injury and violence, especially among those <35, should be specifically addressed to reduce excess mortality for persons with mental illness. Mental health care should be integrated with primary care to better manage chronic disease, especially cardiovascular disease. Methodological contributions included use of linked files to compare SMR and leading causes of death between mental illness decedents and all Ohio decedents. More research is needed on patterns in cause of death and any interactions from demographic characteristics and mental illness. Health care data silos must be bridged between private and public sectors and the Departments of Veterans Affairs and Defense.

The assimilation of evidence-based healthcare innovations: a management-based perspective.

In order to reap the benefits of the nation's vast investments in healthcare discoveries, evidence-based healthcare innovations (EBHI) must be assimilated by the organizations that adopt them. Data from a naturalistic field study are used to test a management-based model of implementation success which hypothesizes strategic fit, climate for EBHI implementation, and fidelity will explain variability in the assimilation of EBHIs by organizations that adopted them under ordinary circumstances approximately 6 years earlier. Data gathered from top managers and external consultants directly involved with these long-term EBHI implementation efforts provide preliminary support for predicted positive linkages between strategic fit and climate; climate and fidelity; and fidelity and assimilation. Mediated regression analyses also suggest that climate and fidelity may be important mediators. Findings raise important questions about the meaning of assimilation, top managers' roles as agents of assimilation, and the extent to which results represent real-world versus implicit models of assimilation.

Mental health community based funding: Ohio's experience in revising its funding allocation methodology.

Over the past 20 years, states have increasingly moved away from centrally financed, state-operated facilities to financing models built around community-based service delivery mechanisms. This paper identifies four important broad factors to consider when developing a funding formula to allocate state funding for community mental health services to local boards in an equitable manner, based on local community need: (1) funding factors used by other states; (2) state specific legislative requirements; (3) data availability; and (4) local variation of factors in the funding formula. These considerations are illustrated with the recent experience of Ohio using available evidence and data sources to develop a new community-based allocation formula. We discuss opportunities for implementing changes in formula based mental health funding related to Medicaid expansions for low income adults scheduled to go into effect under the new Patient Protection and Affordable Care Act.

A naturalistic study of MST dissemination in 13 Ohio communities.

The diffusion of evidence-based practices (EBPs) to child-serving human service organizations often occurs within the context of a comprehensive system-of-care in which a coordinated network of service providers collaborate to meet the needs of children and adolescents with serious behavioral and emotional disturbances. To the extent that inter-organizational networks influence the choices of organizational decision makers, it is necessary to understand interactions among participating organizations within the system when studying diffusion processes associated with EBP adoption and implementation. The present study analyzes decision making about the adoption and implementation of an EBP within the ecological context of system-of-care collaboration. Findings suggest that several factors impact the adoption decision, including system-of-care infrastructure planning and development activities before the decision process, the perception of adequate start-up and ongoing implementation resources among key players in the system-of-care, the range of motivations to participate in collaborative decision making, and the presence of entrepreneurial leadership.

The de-adoption of innovative mental health practices (IMHP): why organizations choose not to sustain an IMHP.

The de-adoption or discontinuance of innovative mental health practices (IMHPs) was investigated among twelve mental health providers in Ohio. Researchers used mixed methodology to investigate factors that led the organizations to de-adopt the IMHPs. Findings suggest at least five indicators that an organization is likely to discontinue an IMHP (e.g., lack of financial resources and problems related to attracting and retaining qualified staff). Adopting agencies, state and local mental health authorities, and external technical assistance groups may be able to use this information to assist organizations in continuing with the implementation process.