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.

Expanding access to medication treatment for opioid use disorders: Findings from the Washington State hub and spoke effort.

BACKGROUND: Opioid use disorder (OUD) is a leading cause of preventable death and injury nationwide. Efforts to increase the use of medication for opioid use disorder (MOUD) are needed. In 2017, Washington State implemented a Hub and Spoke (HS) model of care with the primary goal of expanding access to MOUD. We examined changes in MOUD utilization among Washington State Medicaid beneficiaries before and after HS implementation. METHODS: We used Medicaid claims data to examine longitudinal changes in MOUD use for beneficiaries with OUD. We conducted a comparative interrupted time series analysis to examine the association between HS policy implementation and rates of MOUD utilization, overall and by type of medication. RESULTS: Between 2016 and 2019, a period of increasing OUD prevalence, rates of MOUD utilization among Washington Medicaid beneficiaries increased overall from 39.7 to 50.5. Following HS implementation, rates of MOUD use grew at a significantly greater rate in the HS cohort than in the non-HS cohort (ß=0.54, SE=0.02, p< 0.0001, 95% CI 0.49, 0.59). Analyses by medication type show that this rate increase was primarily due to buprenorphine use (ß= 0.61, SE= 0.02, p< 0.0001, 95% CI 0.57, 0.65). CONCLUSION: Improved systems of care are needed to make MOUD accessible to all patients in need. The Washington HS model is one strategy that may facilitate and expand MOUD use, particularly buprenorphine. Over the study period, Washington State saw increased use of buprenorphine, which was an emphasis of their HS model.

Clinician approaches to new spine pain cases in primary care: Balance of opioid prescribing and early linkage to exercise therapy and spinal manipulation.

RATIONALE, AIMS AND OBJECTIVES: Spine pain (SP) is common and often disabling. Clinical practice guidelines discourage opioid treatment and outline the value of varied nonpharmacologic therapies (NPTs). This study elucidates the amount of variability in primary-care clinicians' (PCPs') prescribing of opioids and in their cases' receipt of the two most common NPTs (exercise therapy and spinal manipulation). METHOD: The design was a retrospective cohort study examining variation in the treatment of PCPs' new SP cases, classified by receipt of (a) prescription of an opioid at the initial visit; (b) exercise therapy and/or spinal manipulation within 30 days of initial visit. The study was set in the primary care clinics at military treatment facilities of the US Military Health System in the period between October 2011 and September 2016. RESULTS: The majority of cases did not receive a study treatment (66.3%); 19.6% of cases received only NPT within 30 days of initial visit; 11.5% were prescribed only an opioid at the initial visit with receipt of both NPT and opioid during early treatment rare (2.6%). Exercise therapy within 30 days exhibited more than a twofold difference in interquartile percentile rates (IQR) (median provision 15.8%, IQR 9.8%-22.1%). The other treatments exhibited even greater variation; specifically, spinal manipulation (median 8.5%, IQR 3.3%-15.8%), and opioid at initial visit (median 10.3%, IQR 4.4%-18.2%). The availability of physical therapists and doctors of chiropractic had significant association with several clinical provision rates. CONCLUSION: Among providers of spine care for a sample of Army soldiers, there was substantial variation in the early provision of exercise therapy, spinal manipulation, and opioid prescriptions. The magnitude of the case-mix adjusted variation and its association with facility availability of providers suggests that quality of care initiatives may help reduce this variation.

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.

The association between community social vulnerability and prescription opioid availability with individual opioid overdose.

BACKGROUND: This study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose. METHODS: We identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP. MAIN FINDINGS: We identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency. CONCLUSION: These findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Association of Household Opioid Availability With Opioid Overdose.

Importance: Previous studies that examined the role of household opioid prescriptions in opioid overdose risk were limited to commercial claims, did not include fatal overdoses, and had limited inclusion of household prescription characteristics. Broader research is needed to expand understanding of the risk of overdose. Objective: To assess the role of household opioid availability and other household prescription factors associated with individuals' odds of fatal or nonfatal opioid overdose. Design, Setting, and Participants: A retrospective cohort study assessing patient outcomes from January 1, 2015, through December 31, 2018, was conducted on adults in the Oregon Comprehensive Opioid Risk Registry database in households of at least 2 members. Data analysis was performed between October 16, 2020, and January 26, 2023. Exposures: Household opioid prescription availability and household prescription characteristics. Main Outcomes and Measures: Opioid overdoses were captured from insurance claims, death records, and hospital discharge data. Household opioid prescription availability and prescription characteristics for individuals and households were modeled as 6-month cumulative time-dependent measures, updated monthly. To assess the association between household prescription availability, household prescription characteristics, and overdose, multilevel logistic regression models were developed, adjusting for demographic, clinical, household, and prescription characteristics. Results: The sample included 1 691 856 individuals in 1 187 140 households, of which most were women (53.2%), White race (70.7%), living in metropolitan areas (75.8%), and having commercial insurance (51.8%), no Elixhauser comorbidities (69.5%), and no opioid prescription fills in the study period (57.0%). A total of 28 747 opioid overdose events were observed during the study period (0.0526 per 100 person-months). Relative to individuals without personal or household opioid fills, the odds of opioid-related overdose increased by 60% when another household member had an opioid fill in the past 6 months (adjusted odds ratio [aOR], 1.60; 95% CI, 1.54-1.66) and were highest when both the individual and another household member had opioid fills in the preceding 6 months (aOR, 6.25; 95% CI, 6.09-6.40). Conclusions and Relevance: In this cohort study of adult Oregon residents in households of at least 2 members, the findings suggest that household prescription availability is associated with increased odds of opioid overdose for others in the household, even if they do not have their own opioid prescription. These findings underscore the importance of educating patients about proper opioid disposal and the risks of household opioids.

Psychometric Performance of the SF-6D Quality of Life Measure in an Outpatient Population with Bipolar Disorder.

BACKGROUND: Bipolar disorder is among the top 10 causes of disability worldwide. The Short-Form Six-Dimension (SF-6D) is a frequently used measure of preference-based health-related quality of life (HRQOL). However, this measure's psychometric performance has not been tested in outpatient patients with bipolar disorder. AIMS OF THE STUDY: This study assessed the psychometric properties of the SF-6D, including convergent validity, known-groups validity, and responsiveness. METHODS: We examined convergent validity between the SF-6D and four condition-specific measures of functioning (LIFE-RIFT), life satisfaction (QLESQ), depressive symptoms (MADRS), and manic symptoms (YMRS). We used known-groups validity tests to compare the SF-6D health utility values estimated for patients in different clinical states, including depression, mania, hypomania, and recovered. We assessed the responsiveness of the SF-6D by comparing the sensitivity of the SF-6D utility values to longitudinal changes in the four condition-specific measures during the same period of time. We conducted all analyses using data from 2,627 participants in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) clinical trial. RESULTS: The SF-6D demonstrated moderate (0.3-0.7) convergence with the LIFE-RIFT, QLESQ, and MADRS measures. Convergence with the manic symptoms measure (YMRS) was weak (<0.3). For known-groups validity, the SF-6D distinguished the recovered state from the three symptomatic clinical states. For responsiveness, the measure did not show floor or ceiling effects. The SF-6D utility value increased when mental health improved, with a small ES of 0.3 over the 1-year period, which was comparable to the four condition-specific measures. DISCUSSION: The SF-6D demonstrated moderate convergent validity, moderate responsiveness, and it can distinguish the differences between known-groups that had been identified in literature. The SF-6D may be a suitable measure of preference-based HRQOL for patients with bipolar disorder, but caution is needed due to its lower convergence with the YMRS mania scale. LIMITATIONS: The subsample of patients in manic episode was small, which may reduce the reliability of study findings regarding this specific clinical state. In terms of generalizability, the STEP-BD study sample is based on patients who received treatment in bipolar specialty clinics affiliated with academic medical centers, which may be different from other outpatient clinics. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The mean health utility value for patients with hypomania is significantly lower than the mean value for recovered patients. This finding emphasizes the importance of treating hypomania. IMPLICATION FOR HEALTH POLICIES: This study validates an existing approach toward generating health utility values for bipolar disorder. These utility values can be used to create quality-adjusted life years (QALYs), which are the most commonly used measure of health benefit in cost-effectiveness studies. IMPLICATIONS FOR FURTHER RESEARCH: Studies with larger samples of patients with mania are needed to study measures of health utility in this patient population.

Can clinician champions reduce potentially inappropriate medications in people living with dementia? Study protocol for a cluster randomized trial.

BACKGROUND: For people living with dementia (PLWD) the overuse of potentially inappropriate medications (PIMs) remains a persistent problem. De-prescribing trials in the elderly have mixed results. Clinician champions may be uniquely suited to lead efforts to address this challenge. Here we describe the study protocol for a 24-month embedded pragmatic cluster-randomized clinical trial within two accountable care organizations (ACOs) of such a clinician champion intervention. The specific aims are to (1) assess the effectiveness of a clinician champion on de-implementing PIMs in PLWD, (2) determine if the intervention is associated with a reduction in emergency department (ED) visits and hospitalizations attributed to a fall, and (3) examine five implementation outcomes: appropriateness, feasibility, fidelity, penetration, and equity. METHODS/DESIGN: Two ACOs agreed to participate: United States Medical Management (USMM) and Oschner Health System. The unit of randomization will be the primary care clinic. A clinician champion will be recruited from each of the intervention clinics to participate in a 6-month training program and then work with clinicians and staff in their clinic for 12 months to reduce the use of PIMs in their PLWD population. For aims 1 and 2, Medicare claims data will be used to assess outcomes. The outcome for aim #1 will be medication possession rates per quarter, for the three therapeutic classes of PIMs among patients with dementia in intervention clinics versus control clinics. For aim #2, we will assess the incidence of falls using a previously validated algorithm. For both aims 1 and 2, we will construct hierarchical models with time period observations nested within patient using generalized estimating equations (GEE) with robust standard errors. The key variable of interest will be the treatment indicator assigned based on practice. For aim #3, we will conduct qualitative thematic analysis of documentation by the clinician champions in their project workbooks to evaluate the five implementation outcomes. DISCUSSION: This embedded pragmatic trial will add to our existing knowledge regarding the effectiveness of a clinician champion strategy to de-prescribe potentially inappropriate medication among patients with dementia as well as its appropriateness, feasibility, fidelity, penetration, and equity. TRIAL REGISTRATION: Clinicaltrials.gov NCT05359679 , Registered May 4, 2022.

Variation in prescribing of opioids for emergency department encounters: A cohort study in the Military Health System.

RATIONALE, AIMS AND OBJECTIVES: Emergency department (ED) clinicians account for approximately 13% of all opioid prescriptions to opioid-naïve patients and variability in the rates of prescribing have been noted among individual clinicians and different EDs. This study elucidates the amount of variability within a unified health system (the U.S. Military Health System [MHS]) with the expectation that understanding the sources of variability will enable health system leaders to improve the quality of decision making. METHODS: The design was a retrospective cohort study examining variation in opioid prescribing within EDs of the US MHS. Participants were Army soldiers who returned from a deployment and received care between October 2009 and September 2016. The exposure was ED encounters at a military treatment facility. Key measures were the proportion of ED encounters with an opioid prescription fill; total opioid dose of the fill (morphine milligram equivalent, MME); and total opioid days-supply of the fill. RESULTS: The mean proportion of ED encounters with an opioid fill across providers was 19.7% (SD 8.8%), median proportion was 18.6%, and the distribution was close to symmetric with the 75th percentile provider prescribing opioids in 24.6% of their ED encounters and the 25th percentile provider prescribing in 13.4% of their encounters. The provider-level mean opioid dose per encounter was 113.1 MME (SD 56.0) with the 75th percentile (130.1) 50% higher than the 25th percentile (87.4). The mean opioid supply per encounter was 6.8 days (SD 3.9) with more than a twofold ratio between the 75th percentile (8.3) and the 25th (4.1). Using a series of multilevel regression models to examine opioid fills associated with ED encounters and their dose levels, the variation among providers within facilities was much larger in magnitude than the variation among facilities. CONCLUSION: Among ED encounters of Army soldiers at military treatment facilities, there was substantial variation among providers in prescribing opioid prescriptions that were not explained by patient case-mix. These results suggest that programmes and protocols to address less than optimal prescribing in the ED should be initiated to improve the quality of care.

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone.

BACKGROUND: Hydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown. This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients. METHODS: A retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015-2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records. RESULTS: After index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91-1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45-1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86-2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06-1.50), but not to the same extent. CONCLUSIONS: Among previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.

The relationship between capacity and utilization of nonpharmacologic therapies in the US Military Health System.

BACKGROUND: Nonpharmacologic therapies (NPTs) are recommended as first-line treatments for pain, however the impact of expanding professional capacity to deliver these therapies on use has not been extensively studied. We sought to examine whether an effort by the US Military Health System (MHS) to improve access to NPTs by expanding professional capacity increased NPT utilization in a cohort at higher risk for pain - Army soldiers returning from deployment. METHODS: Our study involved secondary analysis of MHS workforce data derived from the Defense Medical Human Resources System Internet (DMHRSi), and healthcare utilization data obtained from two ambulatory record systems of the Military Health System (MHS) for a sample of 863,855 Army soldiers previously deployed to Iraq or Afghanistan over a 10-year period (2008-2017). We measured clinical provider capacity in three occupational groups responsible for pain management at 130 military treatment facilities (MTFs): physical therapy, chiropractic, and behavioral health, measured annually as full-time equivalence per 100,000 patients served at each MTF. Utilization in both direct and purchased care settings was measured as annual mean NPT users per 1000 sample members and mean encounters per NPT user. Generalized estimating equation models estimated the associations of facility-level occupational capacity measures and facility-level utilization NPT measures. RESULTS: In 2008, nearly all MTFs had some physical therapist and behavioral health provider capacity, but less than half had any chiropractor capacity. The largest increase in capacity from 2008 to 2017 was for chiropractors (89%) followed by behavioral health providers (77%) and physical therapists (37%). Models indicated that increased capacity of physical therapists and chiropractors were associated with significantly increased utilization of six out of seven NPTs. Acupuncture initiation was associated with capacity increases in each occupation. Increased professional capacity in MTFs was associated with limited but positive effects on NPT utilization in purchased care. CONCLUSIONS: Increasing occupational capacity in three professions responsible for delivering NPTs at MTFs were associated with growing utilization of seven NPTs in this Army sample. Despite increasing capacity in MTFs, some positive associations between MTF capacity and purchased care utilization suggest an unmet need for NPTs. Future research should examine if these changes lead to greater receipt of guideline-concordant pain management.

Factors Associated With Opioid Overdose After an Initial Opioid Prescription.

Importance: The opioid epidemic continues to be a public health crisis in the US. Objective: To assess the patient factors and early time-varying prescription-related factors associated with opioid-related fatal or nonfatal overdose. Design, Setting, and Participants: This cohort study evaluated opioid-naive adult patients in Oregon using data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other health data sets in the state of Oregon. The observational, population-based sample filled a first (index) opioid prescription in 2015 and was followed up until December 31, 2018. Data analyses were performed from March 1, 2020, to June 15, 2021. Exposures: Overdose after the index opioid prescription. Main Outcomes and Measures: The outcome was an overdose event. The sample was followed up to identify fatal or nonfatal opioid overdoses. Patient and prescription characteristics were identified. Prescription characteristics in the first 6 months after the index prescription were modeled as cumulative, time-dependent measures that were updated monthly through the sixth month of follow-up. A time-dependent Cox proportional hazards regression model was used to assess patient and prescription characteristics that were associated with an increased risk for overdose events. Results: The cohort comprised 236 921 patients (133 839 women [56.5%]), of whom 667 (0.3%) experienced opioid overdose. Risk of overdose was highest among individuals 75 years or older (adjusted hazard ratio [aHR], 3.22; 95% CI, 1.94-5.36) compared with those aged 35 to 44 years; men (aHR, 1.29; 95% CI, 1.10-1.51); those who were dually eligible for Medicaid and Medicare Advantage (aHR, 4.37; 95% CI, 3.09-6.18), had Medicaid (aHR, 3.77; 95% CI, 2.97-4.80), or had Medicare Advantage (aHR, 2.18; 95% CI, 1.44-3.31) compared with those with commercial insurance; those with comorbid substance use disorder (aHR, 2.74; 95% CI, 2.15-3.50), with depression (aHR, 1.26; 95% CI, 1.03-1.55), or with 1 to 2 comorbidities (aHR, 1.32; 95% CI, 1.08-1.62) or 3 or more comorbidities (aHR, 1.90; 95% CI, 1.42-2.53) compared with none. Patients were at an increased overdose risk if they filled oxycodone (aHR, 1.70; 95% CI, 1.04-2.77) or tramadol (aHR, 2.80; 95% CI, 1.34-5.84) compared with codeine; used benzodiazepines (aHR, 1.06; 95% CI, 1.01-1.11); used concurrent opioids and benzodiazepines (aHR, 2.11; 95% CI, 1.70-2.62); or filled opioids from 3 or more pharmacies over 6 months (aHR, 1.38; 95% CI, 1.09-1.75). Conclusions and Relevance: This cohort study used a comprehensive data set to identify patient and prescription-related risk factors that were associated with opioid overdose. These findings may guide opioid counseling and monitoring, the development of clinical decision-making tools, and opioid prevention and treatment resources for individuals who are at greatest risk for opioid overdose.

Association of facility characteristics and substance use disorder outcomes at discharge from residential treatment.

INTRODUCTION: Individuals with substance use disorder (SUD) may benefit from services and supports delivered in residential settings. Prior research in this area has primarily focused on individual-level factors that affect outcomes, with little focus on the relationship between facility-level characteristics and treatment outcomes. METHODS: Administrative data from 2713 individuals with an index enrollment in publicly funded residential treatment in Massachusetts during 2015 were linked with facility-level survey data from 33 treatment providers. This study conducted multilevel linear and logisitc regression analysis, adjusting for resident demographic, socioeconomic, and substance use history and severity, to examine relationships between facility-level characteristics, treatment duration and completion, and housing and employment status at discharge. RESULTS: Residents stayed longer when they made and enforced rules (ß = 30.22, p = 0.006). Residents were less likely to complete treatment as the number of non-clinical services increased (aOR = 0.918, p = 0.029), or in facilities where residents ate together family style (aOR = 0.485, p = 0.039). Being employed at discharge was more likely when house meetings were held less than once per week (aOR = 3.37, p = 0.005) and less likely when held more than once per week (aOR = 0.385, p = 0.038). CONCLUSION: Overall, increased resident governance and fewer contingencies for successful treatment participation were associated with positive treatment outcomes. Future research should examine the internal processes of residential settings, including peer-to-peer interactions, to better understand how within-residence features affect outcomes.

Association between medication adherence and non-drug healthcare utilisation and costs: a retrospective longitudinal cohort study among US women age 65 and older.

OBJECTIVES: To explore the association between hormone therapy (HT) adherence and non-drug healthcare utilisation and healthcare costs among patients with breast cancer. DESIGN: Retrospective longitudinal cohort study. SETTING: The US Medicare beneficiaries in the SEER-Medicare-linked database PARTICIPANTS: Women aged ≥ 65 with hormone-receptor positive breast cancer from 2007 through mid-2009 in the USA. INTERVENTIONS: We examined the relationship between HT and adherence and outcomes of our interests. PRIMARY AND SECONDARY OUTCOME MEASURES: Our study cohort's HT adherence, non-drug healthcare utilisation and healthcare costs for the first year of HT and each year, thereafter, for a total of 5 years. RESULTS: 6045 eligible Medicare beneficiaries that met our selection criteria were included. We found that patients who were adherent to HT were associated with lower healthcare utilisation of all kinds (inpatient (0.35 vs 0.43, p<0.001), length of study during hospitalisation (4.19 vs 4.89, p<0.01), physician office visits (25.16 vs 26.17, p<0.001)), and significant reductions in many types of medical costs and neutral total healthcare costs despite the increased pharmacy costs. Half of the total medical cost reduction came from savings in hospitalisation costs. CONCLUSIONS: Our study suggests that the added cost of HT adherence was all but offset by the reduced cost for other medical care. Our study provides evidence on the potential success of implementing value-based insurance design (VBID) plans among patients with breast cancer to improve their long-term oral medication adherence. Policymakers should consider adherence improvement strategies such as VBID plans, given that the costs likely will not surpass the total savings.

Association of Lifetime History of Traumatic Brain Injury With Prescription Opioid Use and Misuse Among Adults.

OBJECTIVE: To investigate associations of lifetime history of traumatic brain injury (TBI) with prescription opioid use and misuse among noninstitutionalized adults. PARTICIPANTS: Ohio Behavioral Risk Factor Surveillance System (BRFSS) participants in the 2018 cohort who completed the prescription opioid and lifetime history of TBI modules (n = 3448). DESIGN: Secondary analyses of a statewide population-based cross-sectional survey. MAIN MEASURES: Self-report of a lifetime history of TBI using an adaptation of the Ohio State University TBI-Identification Method. Self-report of past year: (1) prescription pain medication use (ie, prescription opioid use); and (2) prescription opioid misuse, defined as using opioids more frequently or in higher doses than prescribed and/or using a prescription opioid not prescribed to the respondent. RESULTS: In total, 22.8% of adults in the sample screened positive for a lifetime history of TBI. A quarter (25.5%) reported past year prescription opioid use, and 3.1% met criteria for prescription opioid misuse. A lifetime history of TBI was associated with increased odds of both past year prescription opioid use (adjusted odds ratio [AOR] = 1.52; 95% CI, 1.27-1.83; P < .01) and prescription opioid misuse (AOR = 1.65; 95% CI, 1.08-2.52; P < .05), controlling for sex, age, race/ethnicity, and marital status. CONCLUSION: Results from this study support the "perfect storm" hypothesis-that persons with a history of TBI are at an increased risk for exposure to prescription opioids and advancing to prescription opioid misuse compared with those without a history of TBI. Routine screening for a lifetime history of TBI may help target efforts to prevent opioid misuse among adults.

Examining differences in prescription opioid use behaviors among U.S. adults with and without disabilities.

We aimed to identify differences in prescription opioid-related behaviors between adults with and without disabilities in the U.S. We analyzed data from the 2015-2017 National Survey on Drug Use and Health (128,740 individuals; weighted N of 244,831,740) to examine disability-based differences in (1) reasons and sources of last prescription opioid misuse and, in multivariate models overall and stratified by disability, the likelihood of (2) prescription opioid use, and if used, (3) misuse and prescription opioid use disorder (OUD), overall and stratified by disability. Adults with disabilities were 11% more likely than adults without disabilities to report any past-year prescription opioid use, adjusted for sociodemographic, health, and behavioral health characteristics. However, among adults with any prescription opioid use, which is more common among people with disabilities, likelihood of prescription OUD did not vary by disability status. Pain relief as the reason for last misuse was associated with 18% increased likelihood of prescription OUD, if any use. To reduce risk of opioid misuse among people with disabilities, accessible and inclusive chronic pain management services are essential. Further, the substance use treatment field should provide accessible and inclusive services, and be aware of the need for pain management by many people with disabilities, which may include the use of prescription opioids. These findings highlight essential opportunities for public health and policies to improve access, accommodations, and quality of health and behavioral health care for people with disabilities, and to encourage a holistic perspective of people with disabilities and their needs.

Do nonpharmacological services offset opioids in pain treatment for soldiers?

OBJECTIVE: To examine the relationships between nonpharmacological treatment (NPT) utilization and opioid prescriptions and doses and whether these relationships vary according to the type of NPT service received. DATA SOURCE: Secondary data from the US Military Health System, nationwide. STUDY DESIGN: Patterns of NPT utilization and opioid prescriptions were analyzed over the 23 months after initial pain treatment (index visit). Regression models were used to examine the relationship between opioid prescription use in a given month and NPT service utilization in the three preceding months, using person fixed effects to control for time-invariant patient characteristics, as well as time fixed effects. Analyses were stratified by whether the patient filled an opioid prescription in the first 30 days post index visit. DATA EXTRACTION METHODS: Administrative data on health care utilization were extracted from the US Military Health System Data Repository for Army service members who returned from deployments in Afghanistan and Iraq that ended in fiscal years 2008 to 2014 and had at least one outpatient visit with a primary diagnosis of musculoskeletal pain in the subsequent year. PRINCIPAL FINDINGS: Utilization of any NPT service in the past 3 months was positively associated with filling an opioid prescription in the given month, regardless of whether the patient was initially prescribed opioids (percentage point difference [PP] =2.87, P < 0.01) or not (PP = 0.83, P < 0.01). However, for those not initially prescribed opioids, use of any NPT service in the past 3 months was negatively associated with mean daily opioid dose in the given month (morphine milligram equivalent dose = -0.4017, P < 0.01). For those initially prescribed opioids, NPT was not associated with opioid dose. CONCLUSIONS: NPT only reduced the prescription opioid daily dose for some patients, whereas the probability of receiving an opioid prescription was positively associated with NPT. Future research should assess whether recent system-level policies and program changes influence referral and opioid prescribing patterns.

Cost sharing for breast cancer hormone therapy: How do dual eligible patients' copayment impact adherence.

OBJECTIVE: To examine the different levels of copayment assistance and treatment adherence among Medicare and Medicaid dual eligible beneficiaries with breast cancer in the U.S. RESEARCH DESIGN: Propensity Score methodology was adopted to minimize potential selection bias from the nonrandom allocation of the treatment group (i.e., full Medicaid beneficiaries) and control group (i.e., Medicare Savings Programs [MSPs] beneficiaries). Longitudinal hierarchical model and Cox proportional-hazard model were adopted to examine patients' adherence over their full five-year course of adjuvant hormone therapy. RESULTS: Our study cohort consisted of 1,133 dual eligible beneficiaries diagnosed with hormone receptor-positive early stage breast cancer in years 2007 -mid 2009. About 80.5% of them received MSPs benefits, while the rest received full Medicaid benefits. On average for a standardized 30-day hormone therapy medication, full Medicaid beneficiaries spent $0.5-$2.0 and MSP beneficiaries spent $1.4-$4.8 in copayment. After adjusting for other factors, this copayment reduction wasn't associated with a significantly better adherence. However, when the catastrophic coverage threshold was reached (copayments reduced to zero), significant improvement in adherence was found in both groups. CONCLUSIONS: Our study found that small amount of cost-sharing reduction did not affect Medicare and Medicaid dual eligible patients' medication treatment adherence, however, the elimination of cost-sharing (even a minimal amount) was associated with improved adherence. Future legislative and advocacy efforts should be paid on eliminating cost sharing for dual eligibles, and possibly even a broader group of financially vulnerable patients.

Pregnancy and Neonatal Outcomes Among Deaf and Hard of Hearing Women: Results From Nationally Representative Data.

BACKGROUND: Although the literature suggests that women with disabilities are at increased risk for pregnancy complications and adverse birth outcomes, there are few population-based studies of pregnancy outcomes among deaf and hard of hearing (DHH) women in the United States. OBJECTIVE: To compare pregnancy complications and neonatal outcomes between deliveries to DHH and non-DHH women using national hospitalization discharge record data. STUDY DESIGN: We used the 2007-2016 Healthcare Cost and Utilization Project National Inpatient Sample to compare pregnancy complications and outcomes among deliveries to DHH women with deliveries to non-DHH women using bivariate and Poisson regressions, controlling for sociodemographic, hospital, and clinical characteristics. RESULTS: DHH women had an increased risk of adverse pregnancy outcomes and chronic medical conditions, including preexisting diabetes (relative risk [RR], 2.01; 95% confidence interval, 1.68-2.42; p < .001), gestational diabetes (RR, 1.31; 95% CI, 1.19-1.44; p < .001), chronic hypertension (RR, 1.51; 95% CI, 1.33-1.72; p < .001), preeclampsia and eclampsia (RR, 1.35; 95% CI, 1.21-1.51; p < .01), placenta previa (RR, 1.62; 95% CI, 1.22-2.16; p < .01), placental abruption (RR, 1.43; 95% confidence interval, 1.15-1.78; p < .01), labor induction (RR, 1.16; 95% CI, 1.05-1.27; p < .01), chorioamnionitis (RR, 1.43; 95% CI, 1.22-1.69; p < .001), cesarean delivery (RR, 1.09; 95% CI, 1.04-1.14; p < .001), premature rupture of membranes (RR, 1.34; 95% CI, 1.20-1.50; p < .001), antepartum hemorrhage (RR, 1.36; 95% CI, 1.13-1.64; p < .001), and postpartum hemorrhage (RR, 1.30; 95% CI, 1.13-1.49; p < .001). After adjustment for socioeconomic and hospital characteristics, the risk for gestational diabetes, preeclampsia and eclampsia, placenta previa, and chorioamnionitis remained unexplained. CONCLUSIONS: DHH women are at increased risk for adverse pregnancy, fetal, and neonatal outcomes, illuminating the need for awareness among obstetric and primary care providers as well as the need for systematic investigation of outcomes and evidence-based guidelines.