Analysis of Alcohol Use and Alcohol Use Disorder Trends in U.S. Active-Duty Service Women.

Introduction: Alcohol use (AU) and disorders (AUDs) have been increasing among women over the past decade, with the largest increases among women of child-bearing age. Unprecedented stressors during the COVID-19 pandemic may have impacted AU for women with and without children. Little is known about how these trends are impacting women in the military. Methods: Cross-sectional study of active-duty service women (ADSW) in the U.S. Army, Air Force, Navy, and Marine Corps during fiscal years (FY) 2016-2021. We report the prevalence of AU and AUD diagnoses by FY, before/during the COVID-19 pandemic (2016-2019; 2020-2021, respectively), and by parental status. Log-binomial and logistic regressions examined associations of demographics, military, and family structure characteristics, with AU and AUD, during pre-COVID-19 and COVID-19 timeframes. Results: We identified 281,567 ADSW in the pre-COVID-19 period and 237,327 ADSW in the during COVID-19 period. The prevalence of AU was lower during the COVID-19 period (47.9%) than during the pre-COVID-19 period (63.0%); similarly, the prevalence of AUD was lower during the COVID-19 period (2.7%) than during the pre-COVID period (4.0%). ADSW with children had larger percentage decreases during the COVID-19 period. ADSW with children had a consistently lower prevalence and odds of AUD compared with ADSW without children in the pre- and during COVID-19 periods. Conclusion: Decreasing trends in AU and AUD among ADSW were unexpected. However, the prevalence of AU and AUD may not have been accurately captured during the COVID-19 period due to reductions in access to care. Continued postpandemic comparison of AU/AUD among women by parental status and demographic factors may guide targeted health efforts.

Association of Disability Status and Type With Binge Drinking and Prescription Opioid Misuse Among Adults From a 3-State Sample.

BACKGROUND: Research examining at-risk substance use by disability status is limited, with little investigation into differences by disability type. We investigated binge drinking and prescription opioid misuse among adults with and without disabilities, and by type of disability, to inform need for assessment and intervention within these populations. METHODS: Secondary analyses of adults who completed the disability, alcohol, and prescription opioid misuse items in the 2018 Ohio, Florida, or Nebraska Behavioral Risk Factor Surveillance System surveys (n = 28 341), the only states that included prescription opioid misuse in 2018. Self-reported disability status (yes/no) relied on 6 standardized questions assessing difficulties with: vision, hearing, mobility, cognition, self-care, and independent living (dichotomous, nonmutually exclusive, for each disability). Logistic regression models estimated the association of disability status and type with (1) past 30-day binge drinking and (2) past-year prescription opioid misuse. Additional models were restricted to separate subsamples of adults who: (a) currently drink, (b) received a past-year prescription opioid, and (c) did not receive a past-year prescription opioid. RESULTS: One-third reported at least one disability, with mobility (19.5%), cognitive (11.5%), and hearing (10.2%) disability being the most common. Disability status was associated with lower odds of binge drinking (adjusted odds ratio [AOR] = 0.74, 95% confidence interval [CI] 0.68-0.80, P ≤ .01). However, among adults who currently drink, people with disabilities had higher odds of binge drinking (AOR = 1.11, 95% CI 1.01-1.22, P ≤ .05]. Disability was associated with higher odds of past-year prescription opioid misuse (AOR = 2.51, 95% CI 2.17-2.91, P ≤ .01). CONCLUSIONS: Adults with disabilities had higher odds of prescription opioid misuse, and among adults who currently drink, higher odds for binge drinking were observed. The magnitude of the association between disability status and prescription opioid misuse was particularly concerning. Providers should be trained to screen and treat for substance use problems for people with disabilities.

Veterans Crisis Line Contacts After the 988 Suicide and Crisis Lifeline Rollout.

INTRODUCTION: This study identifies changes in Veterans Crisis Line (VCL) contact volume following the 988 National Suicide Prevention Hotline rollout, and examines changes in contact volume for self-identified Veterans. METHODS: VCL's Medora database was analyzed from July 2018 to June 2023, fitting linear interrupted time series models to forecast trends after the July 2022 rollout of the 988 Suicide Prevention Hotline. Data analysis was performed from 2023 to 2024. RESULTS: After the 988 rollout, average monthly VCL contact volume increased by 5,388 contacts (8.2%). The number of contacts self-identifying as Veterans increased by 2,739 (6.2%), while the percentage of self-identifying Veteran contacts who could be linked to VHA records declined by 3.8%. CONCLUSIONS: The 988 rollout was associated with increased VCL contact volume and broad changes in the profile of users. This underscores the importance of crisis services in adapting to dynamic user needs and highlights the potential of national suicide prevention initiatives to reach diverse populations.

Divergent trends in accidental deaths since return from an Afghanistan/Iraq deployment among army soldiers.

PURPOSE: Accidental death is a leading cause of mortality among military members and Veterans; however, knowledge is limited regarding time-dependent risk following deployment and if there are differences by type of accidental death. METHODS: Longitudinal cohort study (N = 860,930) of soldiers returning from Afghanistan/Iraq deployments in fiscal years 2008-2014. Accidental deaths (i.e., motor vehicle accidents [MVA], accidental overdose, other accidental deaths), were identified through 2018. Crude and age-adjusted mortality rates, rate ratios, time-dependent hazard rates and trends postdeployment were compared across demographic and military characteristics. RESULTS: During the postdeployment observation period, over one-third of deaths were accidental; most were MVA (46.0 %) or overdoses (37.9 %). Across accidental mortality categories (all, MVA, overdose), younger soldiers (18-24, 25-29) were at higher risk compared to older soldiers (40+), and females at lower risk than males. MVA death rates were highest immediately postdeployment, with a significant decreasing hazard rate over time (annual percent change [APC]: -6.5 %). Conversely, accidental overdose death rates were lowest immediately following deployment, with a significant increasing hazard rate over time (APC: 9.9 %). CONCLUSIONS: Observed divergent trends in risk for the most common types of accidental deaths provide essential information to inform prevention and intervention planning for the immediate postdeployment transition and long-term.

Diagnostic profiles associated with long-term opioid therapy in active duty servicemembers.

INTRODUCTION: Over-prescription of opioids has diminished in recent years; however, certain populations remain at high risk. There is a dearth of research evaluating prescription rates using specific multimorbidity patterns. OBJECTIVE: To identify distinct clinical profiles associated with opioid prescription and evaluate their relative odds of receiving long-term opioid therapy. DESIGN: Retrospective analysis of the complete military electronic health record. We assessed demographics and 26 physiological, psychological, and pain conditions present during initial opioid prescription. Latent class analysis (LCA) identified unique clinical profiles using diagnostic data. Logistic regression measured the odds of these classes receiving long-term opioid therapy. SETTING: All electronic health data under the TRICARE network. PARTICIPANTS: All servicemembers on active duty during fiscal years 2016 through 2019 who filled at least one opioid prescription. MAIN OUTCOME MEASURES: Number and qualitative characteristics of LCA classes; odds ratios (ORs) from logistic regression. We hypothesized that LCA classes characterized by high-risk contraindications would have significantly higher odds of long-term opioid therapy. RESULTS: A total of N = 714,446 active duty servicemembers were prescribed an opioid during the study window, with 12,940 (1.8%) receiving long-term opioid therapy. LCA identified five classes: Relatively Healthy (82%); Musculoskeletal Acute Pain and Substance Use Disorders (6%); High Pain, Low Mental Health Burden (9%); Low Pain, High Mental Health Burden (2%), and Multisystem Multimorbid (1%). Logistic regression found that, compared to the Relatively Healthy reference, the Multisystem Multimorbid class, characterized by multiple opioid contraindications, had the highest odds of receiving long-term opioid therapy (OR = 9.24; p < .001; 95% confidence interval [CI]: 8.56, 9.98). CONCLUSION: Analyses demonstrated that classes with greater multimorbidity at the time of prescription, particularly co-occurring psychiatric and pain disorders, had higher likelihood of long-term opioid therapy. Overall, this study helps identify patients most at risk for long-term opioid therapy and has implications for health care policy and patient care.

Healthcare utilization and readiness outcomes among soldiers with post-deployment at-risk drinking, by multimorbidity class.

Although alcohol use disorder (AUD) regularly co-occurs with other conditions, there has not been investigation of specific multimorbidity classes among military members with at-risk alcohol use. We used latent class analysis (LCA) to cluster 138,929 soldiers with post-deployment at-risk drinking based on their co-occurring psychological and physical health conditions and indicators of alcohol severity. We examined the association of these multimorbidity classes with healthcare utilization and military readiness outcomes. Latent class analysis was conducted on 31 dichotomous indicators capturing alcohol use severity, mental health screens, psychological and physical health diagnoses, and tobacco use. Longitudinal survival analysis was used to examine the relative hazards of class membership regarding healthcare utilization (e.g., emergency department visit, inpatient stay) and readiness outcomes (e.g., early separation for misconduct). Latent class analysis identified five classes: Class 1 -Relatively Healthy (51.6 %); Class 2 - Pain/Tobacco (17.3 %); Class 3 - Heavy Drinking/Pain/Tobacco (13.1 %); Class 4 - Mental Health/Pain/Tobacco (12.7 %); and Class 5 - Heavy Drinking/Mental Health/Pain/Tobacco (5.4 %). Musculoskeletal pain and tobacco use were prevalent in all classes, though highest in Classes 2, 4, and 5. Classes 4 and 5 had the highest hazards of all outcomes. Class 5 generally exhibited slightly higher hazards of all outcomes than Class 4, demonstrating the exacerbation of risk among those with heavy drinking/AUD in combination with mental health conditions and other multimorbidity. This study provides new information about the most common multimorbidity presentations of at-risk drinkers in the military so that targeted, individualized care may be employed. Future research is needed to determine whether tailored prevention and treatment approaches for soldiers in different multimorbidity classes is associated with improved outcomes.

Defining, collecting, and sharing perishable disaster data.

Researchers across disciplines have long sought to collect 'perishable data' in the context of disasters. Yet, this data type is neither consistently defined nor discussed in specific detail in the literature. To address this gap, this paper defines perishable data and provides guidance on ways to improve both how it is collected and shared. Here, perishable data is conceptualised as highly transient data that may degrade in quality, be irrevocably altered, or be permanently lost if not gathered soon after it is generated. Perishable data may include ephemeral information that must be collected to characterise pre-existing hazardous conditions, near-miss events, actual disasters, and longer-term recovery processes. This data may need to be gathered at multiple points in time across varying geographic scales to accurately characterise exposure, susceptibility to harm, or coping capacity. The paper considers ethical and logistical challenges and discusses opportunities to advance equitable perishable data collection and dissemination.

Opioid Prescription Clusters Associated With Early or Unplanned Military Separation.

INTRODUCTION: Early/unplanned military separation in Active Component U.S. service members can result in reduced readiness during periods of high-tempo combat and increased demand for health care services within the Military Health System and Veterans Administration. Although current assessment tools leverage prescription data to determine deployment-limiting medication receipt and the need for interventions or waivers, there is a lack of understanding regarding opioid prescription patterns and subsequent early/unplanned military separation after return from deployment. As such, understanding these relationships could support future tool development and strategic resourcing. Therefore, the goal of the present study was to identify unique 12-month opioid prescription patterns and evaluate their relationship with early/unplanned military separation in Active Component service members who returned from deployment. MATERIALS AND METHODS: This retrospective, IRB-approved cohort study included data from 137,654 Active Component Army service members who returned from deployment between 2007 and 2013, received a post-deployment (index) opioid prescription, and had at least 1 year of Active Component service post-opioid initiation. A k-means clustering analysis identified clusters using opioid prescription frequency, median dose, median days supply, and prescription breaks (≥30 days) over the 12-month post-initiation (monitoring) period. A generalized additive model examined whether cluster membership and additional covariates were associated with early/unplanned separation. RESULTS: In addition to the single opioid prescription (38%), the cluster analysis identified five clusters: brief/moderate dose (25%), recurrent breaks (16%), brief/high dose (11%), long/few prescriptions (8%), and high prescription frequency (2%). In the generalized additive model, the probability of early/unplanned military separation was higher for the high prescription frequency cluster (74%), followed by recurrent breaks (45%), long/few prescriptions (37%), brief/moderate dose (30%), and brief/high dose (29%) clusters, relative to the single prescription (21%) cluster. The probability of early/unplanned separation was significantly higher for service members with documented substance use disorders, mental health conditions, or traumatic brain injuries during the monitoring periods. Service members assigned male were more likely to have an early/unplanned separation relative to service members assigned female. Latinx service members and service members whose race was listed as Other were less likely to experience early/unplanned separation relative to white service members. Relative to Junior Officers, Junior Enlisted and Senior Enlisted service members were more likely to experience early/unplanned separation, but Senior Officers were less likely. CONCLUSIONS: Further evaluation to support the integration of longitudinal opioid prescription patterns into existing tools (e.g., a screening tool for deployment-limiting prescriptions) may enable more timely intervention and support service delivery to mitigate the probability and impact of early/unplanned separation.

Randomised controlled trial testing effectiveness of feedback about lung age or exhaled CO combined with very brief advice for smoking cessation compared to very brief advice alone in North Macedonia: findings from the Breathe Well group.

INTRODUCTION: In 2019, smoking prevalence in North Macedonia was one of the world's highest at around 46% in adults. However, access to smoking cessation treatment is limited and no co-ordinated smoking cessation programmes are provided in primary care. METHODS: We conducted a three parallel-armed randomised controlled trial (n = 1368) to investigate effectiveness and cost-effectiveness of lung age (LA) or exhaled carbon monoxide (CO) feedback combined with very brief advice (VBA) to prompt smoking cessation compared with VBA alone, delivered by GPs in primary care in North Macedonia. All participants who decided to attempt to quit smoking were advised about accessing smoking cessation medications and were also offered behavioural support as part of the "ACT" component of VBA. Participants were aged ≥ 35 years, smoked ≥ 10 cigarettes per day, were recruited from 31 GP practices regardless of motivation to quit and were randomised (1:1:1) using a sequence generated before the start of recruitment. The primary outcome was biochemically validated 7-day point prevalence abstinence at 4 weeks (wks). Participants and GPs were not blinded to allocation after randomisation, however outcome assessors were blind to treatment allocation. RESULTS: There was no evidence of a difference in biochemically confirmed quitting between intervention and control at 4wks (VBA + LA RR 0.90 (97.5%CI: 0.35, 2.27); VBA + CO RR 1.04 (97.5%CI: 0.44, 2.44)), however the absolute number of quitters was small (VBA + LA 1.6%, VBA + CO 1.8%, VBA 1.8%). A similar lack of effect was observed at 12 and 26wks, apart from in the VBA + LA arm where the point estimate was significant but the confidence intervals were very wide. In both treatment arms, a larger proportion reported a reduction in cigarettes smoked per day at 4wks (VBA + LA 1.30 (1.10, 1.54); VBA + CO 1.23 (1.03, 1.49)) compared with VBA. The point estimates indicated a similar direction of effect at 12wks and 26wks, but differences were not statistically significant. Quantitative process measures indicated high fidelity to the intervention delivery protocols, but low uptake of behavioural and pharmacological support. VBA was the dominant intervention in the health economic analyses. CONCLUSION: Overall, there was no evidence that adding LA or CO to VBA increased quit rates. However, a small effect cannot be ruled out as the proportion quitting was low and therefore estimates were imprecise. There was some evidence that participants in the intervention arms were more likely to reduce the amount smoked, at least in the short term. More research is needed to find effective ways to support quitting in settings like North Macedonia where a strong smoking culture persists. TRIAL REGISTRATION: The trial was registered at http://www.isrctn.com (ISRCTN54228638) on the 07/09/2018.

Associations of Military-Related Traumatic Brain Injury With New-Onset Mental Health Conditions and Suicide Risk.

Importance: Research to identify the direct and indirect associations of military-related traumatic brain injury (TBI) with suicide has been complicated by a range of data-related challenges. Objective: To identify differences in rates of new-onset mental health conditions (ie, anxiety, mood, posttraumatic stress, adjustment, alcohol use, and substance use disorders) among soldiers with and without a history of military-related TBI and to explore the direct and indirect (through new-onset mental health disorders) associations of TBI with suicide. Design, Setting, and Participants: This retrospective cohort study used data from the Substance Use and Psychological Injury Combat Study (SUPIC) database. Demographic, military, and health data from the Department of Defense within SUPIC were compiled and linked with National Death Index records to identify deaths by suicide. Participants included US Army soldiers who returned from an Afghanistan or Iraq deployment. Data were analyzed from September to December 2022. Exposures: Military-related TBI. Main Outcomes and Measures: The outcome of interest was suicide. Secondary outcomes were incidence of new-onset mental health conditions. Mediation analyses consisted of accelerated failure time (AFT) models in conjunction with the product of coefficients method. The 6 new-onset mental health diagnosis categories and the 2 or more categories variable were each considered separately as potential mediators; therefore, a total of 14 models plus the overall AFT model estimating the total effect associated with TBI in suicide risk were fit. Results: The study included 860 892 soldiers (320 539 soldiers [37.2%] aged 18-24 at end of index deployment; 766 454 [89.0%] male), with 108 785 soldiers (12.6%) with at least 1 documented TBI on their military health record. Larger increases in mental health diagnoses were observed for all conditions from before to after documented TBI, compared with the matched dates for those without a history of TBI, with increases observed for mood (67.7% vs 37.5%) and substance use (100% vs 14.5%). Time-to-suicide direct effect estimates for soldiers with a history of TBI were similar across mediators. For example, considering new-onset adjustment disorders, time-to-suicide was 16.7% faster (deceleration factor, 0.833; 95% CI, 0.756-0.912) than for soldiers without a history of TBI. Indirect effect estimates of associations with TBI were substantial and varied across mediators. The largest indirect effect estimate was observed through the association with new-onset substance use disorder, with a time to suicide 63.8% faster (deceleration factor, 0.372; 95% CI, 0.322-0.433) for soldiers with a history of TBI. Conclusions and Relevance: In this longitudinal cohort study of soldiers, rates of new-onset mental health conditions were higher among individuals with a history of TBI compared with those without. Moreover, risk for suicide was both directly and indirectly associated with history of TBI. These findings suggest that increased efforts are needed to conceptualize the accumulation of risk associated with multiple military-related exposures and identify evidence-based interventions that address mechanisms associated with frequently co-occurring conditions.

Risk of Adverse Outcomes Among Veterans Who Screen Positive for Traumatic Brain Injury in the Veterans Health Administration But Do Not Complete a Comprehensive Evaluation: A LIMBIC-CENC Study.

OBJECTIVE: To examine whether post-9/11 veterans who screened positive for mild traumatic brain injury (mTBI) but did not complete a Comprehensive TBI Evaluation (CTBIE) were at higher risk of subsequent adverse events compared with veterans who screened positive and completed a CTBIE. Upon CTBIE completion, information assessed by a trained TBI clinician indicates whether there is mTBI history (mTBI+) or not (mTBI-). SETTING: Veterans Health Administration (VHA) outpatient services. PARTICIPANTS: A total of 52 700 post-9/11 veterans who screened positive for TBI were included. The follow-up review period was between fiscal years 2008 and 2019. The 3 groups studied based on CTBIE completion and mTBI status were: (1) mTBI+ (48.6%), (2) mTBI- (17.8%), and (3) no CTBIE (33.7%). DESIGN: This was a retrospective cohort study. Log binomial and Poisson regression models adjusting for demographic, military, pre-TBI screening health, and VHA covariates examined risk ratios of incident outcomes based on CTBIE completion and mTBI status. MAIN MEASURES: Incident substance use disorders (SUDs), alcohol use disorder (AUD), opioid use disorder (OUD), overdose, and homelessness documented in VHA administrative records, and mortality as documented in the National Death Index, 3 years post-TBI screen. VHA outpatient utilization was also examined. RESULTS: Compared with the no CTBIE group, the mTBI+ group had 1.28 to 1.31 times the risk of incident SUD, AUD, and overdose, but 0.73 times the risk of death 3 years following TBI screening. The mTBI- group had 0.70 times the risk of OUD compared with the no CTBIE group within the same period. The no CTBIE group also had the lowest VHA utilization. CONCLUSIONS: There were mixed findings on risk of adverse events for the no CTBIE group relative to the mTBI+ and mTBI- groups. Future research is needed to explore the observed differences, including health conditions and healthcare utilization, documented outside VHA among veterans who screen positive for TBI.

Cohort effects of women's mid-life binge drinking and alcohol use disorder symptoms in the United States: Impacts of changes in timing of parenthood.

BACKGROUND AND AIMS: Alcohol use is increasing among women in mid-life concurrently with societal changes in timing of parenthood and changing cultural norms, which may influence alcohol use. The aim of this study was to determine if age of first parenting was associated with excessive drinking [i.e. past 2-week binge drinking and past 5-year alcohol use disorder (AUD) symptoms] among women during mid-life in the United States and to determine if there were pronounced cohort effects influencing these relationships. DESIGN: This was a retrospective cohort, longitudinal study. SETTING, PARTICIPANTS AND MEASUREMENTS: Data were drawn from the Monitoring the Future survey, an annual ongoing survey of high school students' substance use behaviors in the United States. Participants were women who completed the age 35 survey between 1993 and 2019, corresponding to high school senior years 1976-2002 (n = 9988). Past 2-week binge drinking and past 5-year AUD symptoms were self-reported. Age of first parenting was self-reported. FINDINGS: Binge drinking and AUD symptoms were higher among women in recent than in older cohorts. Women from the 2018-19 cohort had increased odds of binge drinking [odds ratio (OR) = 1.73, 95% confidence interval (CI) = 1.41-2.12] and AUD symptoms (OR = 1.51, CI = 1.27-1.80) relative to women from the 1993-97 cohort. Throughout cohorts, there was an inverse association between transition to parenthood and excessive drinking outcomes (e.g. range for ORs for binge drinking among those without children compared with those who had had children between the ages of 18 and 24: 1.22-1.55). Simultaneously, there was a population shift towards delaying parenting in recent cohorts (i.e. 54% of women in the 1993-97 cohort had children before age 30 compared with 39% in the two recent cohorts), increasing the size of the group at highest risk for excessive drinking. CONCLUSIONS: In the United States, subgroups of women at highest risk of excessive drinking appear to be expanding, probably supported in part by a trend towards delayed parenting.

Racial and Ethnic Differences in Deaths by Suicide, Drug Overdose, and Opioid-Related Overdose in a National Sample of Military Members With Mild Traumatic Brain Injury, 1999-2019.

OBJECTIVE: To examine racial and ethnic differences in suicide and drug and opioid-related overdose deaths among a population-based cohort of military service members who were diagnosed with a mild traumatic brain injury (mTBI) during military service. DESIGN: Retrospective cohort. SETTING: Military personnel receiving care within the Military Health System between 1999 and 2019. PARTICIPANTS: In total, 356 514 military members aged 18 to 64 years, who received an mTBI diagnosis as their index TBI between 1999 and 2019, while on active duty or activated. MAIN MEASURES: Death by suicide, death by drug overdose, and death by opioid overdose were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes within the National Death Index. Race and ethnicity were captured from the Military Health System Data Repository. RESULTS: Overall crude rates were 38.67 per 100 000 person-years for suicide; 31.01 per 100 000 person-years for drug overdose death; and 20.82 per 100 000 person-years for opioid overdose death. Crude and age-specific rates for military members who self-identified as Other were higher than all other racial/ethnic groups for all 3 mortality outcomes. Adjusting for age, suicide rates for those classified as Other were up to 5 times that of other racial/ethnic groups for suicide, and up to 11 and 3.5 times that of other race/ethnicity groups for drug and opioid overdose death, respectively. CONCLUSION: Findings extend previous knowledge regarding risk for suicide and deaths by drug overdose among those with mTBI and highlight new important areas for understanding the impact of race and ethnicity on mortality. Methodological limitations regarding classification of race and ethnicity must be addressed to ensure that future research provides a better understanding of racial and ethnic disparities in suicide and drug overdose mortality among military members with TBI.

Quality of Opioid Use Disorder Treatment for Persons With and Without Disabling Conditions.

Importance: Adverse outcomes associated with opioid use disorder (OUD) are disproportionately high among people with disabilities (PWD) compared with those without disability. A gap remains in understanding the quality of OUD treatment for people with physical, sensory, cognitive, and developmental disabilities, specifically regarding medications for OUD (MOUD), a foundation of treatment. Objective: To examine the use and quality of OUD treatment in adults with diagnosed disabling conditions, compared with adults without these diagnoses. Design, Setting, and Participants: This case-control study used Washington State Medicaid data from 2016 to 2019 (for use) and 2017 to 2018 (for continuity). Data were obtained for outpatient, residential, and inpatient settings with Medicaid claims. Participants included Washington State full-benefit Medicaid enrollees aged 18 to 64 years, continuously eligible for 12 months, with OUD during the study years and not enrolled in Medicare. Data analysis was performed from January to September 2022. Exposures: Disability status, including physical (spinal cord injury or mobility impairment), sensory (visual or hearing impairments), developmental (intellectual or developmental disability or autism), and cognitive (traumatic brain injury) disabilities. Main Outcomes and Measures: The main outcomes were National Quality Forum-endorsed quality measures: (1) use of MOUD (buprenorphine, methadone, or naltrexone) during each study year and (2) 6-month continuity of treatment (for those taking MOUD). Results: A total of 84 728 Washington Medicaid enrollees had claims evidence of OUD, representing 159 591 person-years (84 762 person-years [53.1%] for female participants, 116 145 person-years [72.8%] for non-Hispanic White participants, and 100 970 person-years [63.3%] for participants aged 18-39 years); 15.5% of the population (24 743 person-years) had evidence of a physical, sensory, developmental, or cognitive disability. PWD were 40% less likely than those without a disability to receive any MOUD (adjusted odds ratio [AOR], 0.60; 95% CI, 0.58-0.61; P < .001). This was true for each disability type, with variations. Individuals with a developmental disability were least likely to use MOUD (AOR, 0.50; 95% CI, 0.46-0.55; P < .001). Of those using MOUD, PWD were 13% less likely than people without disability to continue MOUD for 6 months (adjusted OR, 0.87; 95% CI, 0.82-0.93; P < .001). Conclusions and Relevance: In this case-control study of a Medicaid population, treatment differences were found between PWD and people without these disabilities; these differences cannot be explained clinically and highlight inequities in treatment. Policies and interventions to increase MOUD access are critical to reducing morbidity and mortality among PWD. Potential solutions include improved enforcement of the Americans with Disabilities Act, workforce best practice training, and addressing stigma, accessibility, and the need for accommodations to improve OUD treatment for PWD.

Geography, rurality, and community distress: deaths due to suicide, alcohol-use, and drug-use among Colorado Veterans.

BACKGROUND: In the USA, deaths due to suicide, alcohol, or drug-related causes (e.g., alcohol-related liver disease, overdose) have doubled since 2002. Veterans appear disproportionately impacted by growing trends. Limited research has been conducted regarding the relationship between community-level factors (e.g., rurality, community distress resulting from economic conditions) and the presence of spatial clustering of suicide, alcohol-related, or drug-related deaths. We explored community-level relationships in Colorado Veterans and compared suicide, alcohol-, and drug-related death rates between the Colorado adult population and Veterans. METHODS: 2009-2020 suicide, alcohol-related, and/or drug-related deaths were identified using qualifying multiple cause-of-death International Classification of Disease (ICD)-10 codes in CDC WONDER for the general adult population and Colorado death data for Veteran populations. Age and race adjusted rates were calculated to compare risk overall and by mortality type (i.e., suicide, alcohol-related, drug-related). In Veteran decedents, age-adjusted rates were stratified by rurality and community distress, measured by the Distressed Communities Index. Standardized mortality ratios were calculated to measure spatial autocorrelation and identify clusters using global and local Moran's I, respectively. RESULTS: 6.4% of Colorado Veteran deaths (n = 6948) were identified as being related to suicide, alcohol, or drugs. Compared to rates in the general population of Colorado adults, Veterans had 1.8 times higher rates of such deaths overall (2.1 times higher for suicide, 1.8 times higher for alcohol-related, 1.3 times higher for drug-related). Among Veterans, community distress was associated with an increased risk of alcohol-related [age-adjusted rate per 100,000 (95% CI) = 129.6 (89.9-193.1)] and drug-related deaths [95.0 (48.6-172.0)]. This same significant association was not identified among those that died by suicide. Rurality was not associated with risk for any of the deaths of interest. There was significant spatial clustering for alcohol-related deaths in southeast Colorado. CONCLUSIONS: Colorado Veterans have higher rates of deaths due to suicide, alcohol-related, and drug-related causes compared to members of the general adult population. Upstream prevention efforts, such as community-based interventions targeting alcohol-use and community economic distress, are warranted. More research is also needed to understand how community distress and other social determinants of health impact the community burden of suicide, alcohol-related, and drug-related mortality.