The Lifetime Burden of Schizophrenia as Estimated by a Government-Centric Fiscal Analytic Framework.

Objective: To estimate the fiscal consequences of schizophrenia compared to the general US population using a "government perspective" fiscal analytic modeling framework capturing lost tax revenue and broader government costs in 2021.Methods: Schizophrenia was modeled from age 23 using a cohort-based Markov chain with 6-week cycles, simulating the effect of antipsychotic treatment sequences on remission and relapse. Markov states were defined using efficacy and safety outcomes from short- and long-term clinical trials. Mortality was based on US lifetables, schizophrenia-related suicide, and cardiovascular risks. A semi-Markov model with annual cycles simulated the likelihood and costs of incarceration and homelessness in community-based individuals. Lifetime fiscal consequences were estimated conditionally to survival, remission/relapse status, and likelihood of socioeconomic outcomes. Costs and life years were discounted at 3.0% annually. Uncertainty was explored in 1-way and scenario analyses.Results: Unemployment, disability, incarceration, homelessness, health care use, and productivity losses were more common in people living with schizophrenia. Schizophrenia was associated with a $1,540,042 per person lifetime fiscal loss to the government, with $56,707 per life year lived with schizophrenia. Health care costs represented 41.9% of the fiscal losses, 39.4% were due to criminal and homelessness costs, and 17.5% related to foregone tax revenue. Considering a 1.19% prevalence of schizophrenia, the estimated annual fiscal burden in the US was $173.6 billion.Conclusions: The fiscal framework illustrates how schizophrenia influences taxation and government transfer payments over time. These findings can be used to augment cost-effectiveness analyses and inform stakeholders of the fiscal impact of schizophrenia to inform priority interventions.

Adolescent socioeconomic status and depressive symptoms in later life: Evidence from structural equation models.

BACKGROUND: The complex association between socioeconomic status (SES) and depressive symptoms is not entirely understood and the existing literature does not address the relationship between early-life SES and later-life depression from a life-course perspective, incorporating mediating events. METHODS: Using data from the Wisconsin Longitudinal Study, we employed structural equation modeling to examine how SES measured at age 18 affects depressive symptoms at age 54 directly and through mediating variables college graduation, marriage, and household income level at age 36. RESULTS: The total effect of adolescent SES on later-life depressive symptoms is largely mediated through college graduation. Our final model was driven by the effects of women. The variables contributing most to depressive symptoms in women were the direct effect of being raised in a home with a low SES and the indirect effect of low adolescent SES mediated through non-completion of college. LIMITATIONS: Cohort was exclusively comprised of white, high school graduates born in 1939 (± 2 years). In our analysis we assume that missing values are missing at random (MAR); however, attrition both from death (excluded from our population) and from non-response could be associated with depression, i.e. missing not at random (MNAR). CONCLUSIONS: This study demonstrates the impact of completion of college, particularly among women, and supports the social mobility hypothesis to explain the relationship between adolescent socioeconomic circumstances and late-life health.

Psychometric properties of the Ndetei-Othieno-Kathuku (NOK) Scale: A mental health assessment tool for an African setting.

BACKGROUND: Research suggests that psychiatric conditions in children and adolescents are highly debilitating, with sparse resources for assessment and treatment in low- and middle-income countries (LMICs). OBJECTIVES: The primary aim of this study was to evaluate the reliability, validity, and latent factor structure of an ethnographically-grounded assessment instrument for detecting common mental health complaints among rural Kenyan children and adolescents. METHODS: The Ndetei-Othieno-Kathuku Scale (NOK) was delivered to 2 282 children aged 10 to 18 years old. Exploratory factor analysis identified four latent factors. This structure was confirmed in subsequent confirmatory factor analyses. External validity was explored by investigating associations among NOK factors and Youth Self-Report DSM-oriented scales. RESULTS: Findings suggest the NOK possesses good internal reliability and a four-factor latent structure corresponding to depression, anxiety, somatic complaints, and a mixed factor. Significant associations ranging from small to medium effect sizes were noted between NOK factors and YSR DSM-oriented scales. CONCLUSIONS: Exploratory findings suggest that the NOK possesses adequate psychometric properties among this population. This ethnographically-grounded instrument may be uniquely suited to screening for mental health complaints among Kenyan children and adolescents.