Perceptions of Diseases of Despair by Members of Rural and Urban High-Prevalence Communities: A Qualitative Study.

Importance: Diseases of despair (ie, mortality or morbidity from suicidality, drug abuse, and alcoholism) were first characterized as increasing in rural White working-class populations in midlife with low educational attainment and associated with long-term economic decline. Excess mortality now appears to be associated with working-class citizens across demographic and geographic boundaries, but no known qualitative studies have engaged residents of rural and urban locales with high prevalence of diseases of despair to learn their perspectives. Objective: To explore perceptions about despair-related illness and potential intervention strategies among diverse community members residing in discrete rural and urban hotspots. Design, Setting, and Participants: In this qualitative study, high-prevalence hotspots for diseases of despair were identified from health insurance claims data in Central Pennsylvania. Four focus groups were conducted with 60 community members in organizations and coalitions from 3 census block group hotspot clusters in the health system between September 2019 and January 2020. Focus groups explored awareness and beliefs about causation and potential intervention strategies. Main Outcomes and Measures: A descriptive phenomenological approach was applied to thematic analysis, and a preliminary conceptual model was constructed to describe how various factors may be associated with perpetuating despair and with public health. Results: In total, 60 adult community members participated in 4 focus groups (44 women, 16 men; 40 White non-Hispanic, 17 Black, and 3 Hispanic/Latino members). Three focus groups with 43 members were held in rural areas with high prevalence of diseases of despair, and 1 focus group with 17 members in a high-prevalence urban area. Four themes emerged with respect to awareness and believed causation of despair-related illness, and participants identified common associated factors, including financial distress, lack of critical infrastructure and social services, deteriorating sense of community, and family fragmentation. Intervention strategies focused around 2 themes: (1) building resilience to despair through better community and organizational coordination and peer support at the local level and (2) encouraging broader state investments in social services and infrastructure to mitigate despair-related illness. Conclusions and Relevance: In this qualitative study, rural and urban community members identified common factors associated with diseases of despair, highlighting the association between long-term political and economic decline and public health and a need for both community- and state-level solutions to address despair. Health care systems participating in addressing community health needs may improve processes to screen for despair (eg, social history taking) and codesign primary, secondary, and tertiary interventions aimed at addressing factors associated with distress. Such actions have taken on greater urgency with the COVID-19 pandemic.

Defining indicators for drug overdose emergency department visits and hospitalisations in ICD-10-CM coded discharge data.

INTRODUCTION: The drug overdose epidemic has worsened over the past decade; however, efforts have been made to better understand and track nonfatal overdoses using various data sources including emergency department and hospital admission data from billing and discharge files. METHODS AND FINDINGS: The Centers for Disease Control and Prevention (CDC) has developed surveillance case definition guidance using standardised discharge diagnosis codes for public health practitioners and epidemiologists using lessons learnt from CDC's funded recipients and the Council for State and Territorial Epidemiologists (CSTE) International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) Drug Poisoning Indicators Workgroup and General Injury ICD-10-CM Workgroup. CDC's guidance was informed by health departments and CSTE's workgroups and included several key aspects for assessing drug overdose in emergency department and hospitalisation discharge data. These include: (1) searching all diagnosis fields to identify drug overdose cases; (2) estimating drug overdose incidence using visits for initial encounter but excluding subsequent encounters and sequelae; (3) excluding underdosing and adverse effects from drug overdose incidence indicators; and (4) using codes T36-T50 for overdose surveillance. CDC's guidance also suggests analysing intent separately for ICD-10-CM coding. CONCLUSIONS: CDC's guidance provides health departments a key tool to better monitor drug overdoses in their community. The implementation and validation of this standardised guidance across all CDC-funded health departments will be key to ensuring consistent and accurate reporting across all entities.

Trends in the diagnosis of diseases of despair in the United States, 2009-2018: a retrospective cohort study.

BACKGROUND AND OBJECTIVE: Increasing mortality and decreasing life expectancy in the USA are largely attributable to accidental overdose, alcohol-related disease and suicide. These 'deaths of despair' often follow years of morbidity, yet little is known about trends in the clinical recognition of 'diseases of despair'. The objective of this study is to characterise rates of clinically documented diseases of despair over the last decade and identify sociodemographic risk factors. DESIGN: Retrospective study using a healthcare claims database with 10 years of follow-up. SETTING: Participants resided nationwide but were concentrated in US states disproportionately affected by deaths of despair, including Pennsylvania, West Virginia and Delaware. PARTICIPANTS: Cohort included 12 144 252 participants, with no restriction by age or gender. OUTCOME MEASURES: Diseases of despair were defined as diagnoses related to alcohol misuse, substance misuse and suicide ideation/behaviours. A lookback period was used to identify incident diagnoses. Annual and all-time incidence/prevalence estimates were computed, along with risk for current diagnosis and patterns of comorbidity. RESULTS: 515 830 participants received a disease of despair diagnosis (58.5% male, median 36 years). From 2009 to 2018, the prevalence of alcohol-related, substance-related and suicide-related diagnoses respectively increased by 37%, 94%, and 170%. Ages 55-74 had the largest increase in alcohol/substance-related diagnoses (59% and 172%). Ages <18 had the largest increase in suicide-related diagnoses (287%). Overall, odds for current-year diagnosis were higher among men (adjusted OR (AOR) 1.49, 95% CI 1.47 to 1.51), and among those with Affordable Care Act or Medicare coverage relative to commercial coverage (AOR 1.30, 1.24 to 1.37; AOR 1.51, 1.46 to 1.55). CONCLUSIONS: Increasing clinical rates of disease of despair diagnoses largely mirror broader societal trends in mortality. While the opioid crisis remains a top public health priority, parallel rises in alcohol-related diagnoses and suicidality must be concurrently addressed. Findings suggest opportunities for healthcare systems and providers to deploy targeted prevention to mitigate the progression of morbidities towards mortality.

Maternal mental health and infant mortality for healthy-weight infants.

OBJECTIVES: The objective of this study was to determine if severe mental illness and/or a history of substance use in mothers of babies of a healthy weight was associated with infant mortality. STUDY DESIGN: This was a cross-sectional observational study using CareSource historical billed Medicaid Managed Care plan (MMC) claims in Ohio. METHODS: CareSource is Ohio's largest MMCP, serving approximately 1.2 million Medicaid consumers. Claims from 89,159 babies of a healthy weight (≥ 2500 grams) and their mothers were selected from the CareSource Ohio MMCP population from January 2011 through December 2014. The mental health and substance abuse status of the mother was identified from claim history. A logistic regression model was used to estimate the odds ratio for infant mortality based on the presence or absence of maternal severe mental illness (MSMI) or maternal substance abuse (MSU). RESULTS: The logistic regression model fit showed that the odds of infant mortality for infants born weighing 2500 grams or more was significantly higher when the mother was treated either for MSMI (χ2(1): P = .026) or MSU (χ2(1): P = .006) at any time before or after delivery. CONCLUSIONS: Findings indicate that to address infant mortality, a focus on only babies born premature or low birth weight will result in missing a notable segment of the population that requires attention. Mothers who have babies with a healthy weight of at least 2500 grams, but who are diagnosed with either MSMI or MSU, need at least equal attention if inroads are to be made in reducing infant mortality.