Relationship between medication adherence for opioid use disorder and health care costs and health care events in a claims dataset.

INTRODUCTION: Medication for opioid use disorder (MOUD) has well-documented benefits for treating OUD, though its efficacy depends on patient adherence. We know little about outcomes of MOUD nonadherence compared to treatment regimens without MOUD, and this article aims to address the gap. This analysis focused on office-based MOUD treatment (buprenorphine and naltrexone) to evaluate the long-term impact of adherence on subsequent health care costs and health care events. METHODS: With claims data from 2017 to 2019, we used propensity score (PS) weighting to create three comparable cohorts of patients: 1) Adherent: filled MOUD prescription & ≧80 % of days covered by MOUD (N = 1045); 2) Nonadherent: filled MOUD & < 80 % of days covered (N = 1116), 3) did not fill MOUD (N = 16,784). The study defined three time intervals based on a patient's most recent MOUD episode: A 6-month baseline period before initiation of MOUD or random index date for those with MOUD; a 6-month treatment period, during which adherence or nonadherence was established; and a 12-month follow-up period to evaluate outcome measures. The study used generalized PS methodology to examine the effect of proportion of days covered (PDC) as a continuous measure of adherence. RESULTS: Among patients who filled MOUD, adherence to MOUD was significantly predicted by having less severe OUD, being older, having fewer inpatient visits and lower outpatient costs before the start of treatment. Adherent patients displayed significantly lower health care costs in the follow-up period compared to nonadherent MOUD patients, and lower odds of experiencing health care events. The nonadherent MOUD group displayed significantly higher odds of health care events compared to patients who had no evidence of receiving MOUD in claims data (NO-MOUD). Among patients prescribed MOUD, each 10 % increase in PDC was associated with a significant decrease in inpatient/outpatient costs and in odds of health care events. CONCLUSIONS: This analysis aligns with previous findings about the importance of maintaining long-term adherence to MOUD in supporting patient outcomes. The results also suggest a novel finding that despite confounder control via PS methods, nonadherent patients display poorer outcomes compared to similar NO-MOUD patients.

Effects of Telehealth on Dropout and Retention in Care among Treatment-Seeking Individuals with Substance Use Disorder: A Retrospective Cohort Study.

Background: During the COVID-19 pandemic, telehealth became a widely used method of delivering treatment for substance use disorders (SUD), but its impact upon treatment engagement and dropout remains unknown. Methods: We conducted a retrospective analysis of adult SUD patients (n = 544) between October 2020 and June 2022 among a cohort of treatment-seeking patients at a nonprofit community behavioral health center in Southwestern Ohio. We estimated the likelihood of treatment dropout using survival curves and Cox proportional hazard models, comparing patients who used telehealth with video, telephone, or solely in-person services within the first 14 days of diagnosis. We also compared the likelihood of early treatment engagement. Results: Patients who received services through telehealth with video in the initial 14 days of diagnosis had a lower hazard of dropout, compared to patients receiving solely in-person services (0.64, 95% CI [0.46, 0.90]), while there was no difference in hazards of dropout between patients who received telephone and in-person services. Early use of telehealth, both via video (5.40, 95% CI [1.92, 15.20]) and telephone (2.12, 95% CI [1.05, 4.28]), was associated with greater odds of treatment engagement compared to in-person care. Conclusion: This study adds to the existing literature related to telehealth utilization and engagement in care and supports the inclusion of telehealth in SUD treatment programs for treatment-seeking individuals.

Factor Structure of the Brief Addiction Monitor in a Non-Veteran Substance Use Disorder Outpatient Treatment Sample.

Background: The Brief Addiction Monitor (BAM) was developed as a comprehensive substance use disorder (SUD) outcome metric to fill a gap in quality measurement. Research to date has only examined the psychometric performance of this measure in veteran SUD populations. The purpose of the current research is to examine the factor structure and validity in a non-veteran SUD population. Methods: Non-veteran patients admitted to a SUD treatment program (N = 2,227) completed BAM at intake. After confirmatory factor analysis (CFA) was performed to evaluate the measurement model validity of previously defined latent structures, exploratory factor analysis (EFA) was used to assess the factor structure and psychometric properties of the BAM within the full sample and within subgroups, specifically racial, referral source (mandated vs. not), and primary SUD diagnosis. Results: Exploratory factor analyses in the full sample supported a 4-factor model (representing Stressors, Alcohol Use, Risk Factors, and Protective Factors) derived from 13 items. Subsequent EFAs conducted separately in each subgroup revealed variability in the number of resulting factors and pattern matrices. The internal consistency also varied among factors and between subgroups; in general, reliability was greatest for the Alcohol Use scale and either poor or questionable for pattern matrices resulting in scales reflecting Risk or Protective Factors. Conclusion: Findings from our study suggest that the BAM might not be a reliable and valid instrument for all populations. More research is needed to develop and validate tools that are clinically meaningful and allow clinicians to track recovery progress over time.

CALM Interventions: Behavioral Health Crisis Assessment, Linkage, and Management Improve Patient Care.

Emergency departments (EDs) have seen rising numbers of patients in psychiatric crises, patient boarding, and throughput delays. This study describes and evaluates the impact of a Crisis Assessment Linkage and Management (CALM) service designed to manage behavioral health crises. A year-to-year comparison was performed before (n = 2211 ED visits) and after implementation of CALM (n = 2387). CALM was associated with reductions in median ED and hospital length of stay (LOS) from 9.5 to 7.3 hours and 46.2 to 31.4 hours, respectively. Mean transformed ED LOS decreased by 32.4% ( P < .001). The CALM model improved patient care and throughput metrics by proactively managing behavioral health crises.

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.

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.