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.

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.

The impact of the introduction of generic aromatase inhibitors on adherence to hormonal therapy over the full course of 5-year treatment for breast cancer.

BACKGROUND: High out-of-pocket costs (OOPCs) often are found to be inversely associated with adherence to medical treatment. The introduction of generic aromatase inhibitors (GAIs) significantly reduced the OOPCs of patients. The objective of the current study was to explore the impact of the introduction of GAIs on adjuvant hormone therapy (AHT) adherence over the full course of breast cancer treatment. METHODS: Women aged ≥65 years who were diagnosed with hormone receptor-positive breast cancer from 2007 through mid-2009 were identified from the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database. Multivariate logistic regression was used to estimate the likelihood of AHT initiation and an interrupted time series model was used to predict the association between the introduction of GAIs and AHT adherence. The model was stratified further using Medicare low-income subsidy (LIS) status. RESULTS: A total of 10,905 women were included, approximately 62.8% of whom initiated AHT within the first year of their breast cancer diagnosis. Adjusted adherence among LIS beneficiaries was 11.4% higher than among non-LIS beneficiaries (P < .001). Non-LIS beneficiaries had an overall decreasing trend of adherence (-0.035; P < .001) prior to the introduction of GAIs. They experienced a 3.4% increase in the slope 6 months after the first GAI, anastrozole, entered the market, and an additional 0.8% increase in the slope 6 months after letrozole and exemestane were introduced (P < .001). Adherence change among LIS patients was small and statistically insignificant. CONCLUSIONS: With the introduction of GAIs, the decrease trend of adherence to therapy atteunated over the course of treatment. Although the successful implementation of the Medicare LIS program minimized the OOPCs for financially vulnerable patients, policymakers should be cautious not to introduce disparities for those who may be of low income but ineligible for such a program.

Nonpharmacological Treatment of Army Service Members with Chronic Pain Is Associated with Fewer Adverse Outcomes After Transition to the Veterans Health Administration.

BACKGROUND: Potential protective effects of nonpharmacological treatments (NPT) against long-term pain-related adverse outcomes have not been examined. OBJECTIVE: To compare active duty U.S. Army service members with chronic pain who did/did not receive NPT in the Military Health System (MHS) and describe the association between receiving NPT and adverse outcomes after transitioning to the Veterans Health Administration (VHA). DESIGN AND PARTICIPANTS: A longitudinal cohort study of active duty Army service members whose MHS healthcare records indicated presence of chronic pain after an index deployment to Iraq or Afghanistan in the years 2008-2014 (N = 142,539). Propensity score-weighted multivariable Cox proportional hazard models tested for differences in adverse outcomes between the NPT group and No-NPT group. EXPOSURES: NPT received in the MHS included acupuncture/dry needling, biofeedback, chiropractic care, massage, exercise therapy, cold laser therapy, osteopathic spinal manipulation, transcutaneous electrical nerve stimulation and other electrical manipulation, ultrasonography, superficial heat treatment, traction, and lumbar supports. MAIN MEASURES: Primary outcomes were propensity score-weighted proportional hazards for the following adverse outcomes: (a) diagnoses of alcohol and/or drug disorders; (b) poisoning with opioids, related narcotics, barbiturates, or sedatives; (c) suicide ideation; and (d) self-inflicted injuries including suicide attempts. Outcomes were determined based on ICD-9 and ICD-10 diagnoses recorded in VHA healthcare records from the start of utilization until fiscal year 2018. KEY RESULTS: The propensity score-weighted proportional hazards for the NPT group compared to the No-NPT group were 0.92 (95% CI 0.90-0.94, P < 0.001) for alcohol and/or drug use disorders; 0.65 (95% CI 0.51-0.83, P < 0.001) for accidental poisoning with opioids, related narcotics, barbiturates, or sedatives; 0.88 (95% CI 0.84-0.91, P < 0.001) for suicide ideation; and 0.83 (95% CI 0.77-0.90, P < 0.001) for self-inflicted injuries including suicide attempts. CONCLUSIONS: NPT provided in the MHS to service members with chronic pain may reduce risk of long-term adverse outcomes.

Exploration of the association of selected pain diagnoses with risky alcohol use among active duty soldiers.

BACKGROUND: Pain and its consequences remain of concern, particularly in high-risk occupations such as the military. Alcohol is a legal and accessible means of self-medication, and risky alcohol use is associated with potentially serious consequences. This exploratory analysis aimed to better understand the association of selected pain diagnoses with risky alcohol use among soldiers returning from deployment. Methods: Analysis of data from active duty soldiers returning from Afghanistan or Iraq deployments in fiscal years 2008-2011 who completed Department of Defense health questionnaires after deployment (n = 267,100). Each questionnaire included self-reported alcohol consumption and items yielding AUDIT-C screening scores. Military Health System data were used to identify diagnoses of pain-related conditions. Results: About 70% of soldiers had none of the selected pain diagnoses either pre- or post-deployment. 10% had incident pain diagnoses (only post-deployment), 7% had persistent pain diagnoses (both pre- and post-deployment), and 13% had remitted pain diagnoses (only pre-deployment). On the AUDIT-C, 39% screened positive for at-risk drinking and 6% were likely to have severe alcohol problems. Half of the respondents reported any binge drinking; 20% at least monthly binge drinking. Logistic regression analyses found reduced odds of risky alcohol use post-deployment in association with incident and persistent pain diagnoses, compared to no pain diagnoses pre- or post-deployment. Conclusions: Pain diagnoses, binge drinking, and risky alcohol use were prevalent among this sample of Army soldiers. An inverse relationship was found between pain diagnosis (incident, persistent) and risky alcohol use post-deployment. Attention should continue to be paid to risky alcohol use in this population, yet these exploratory findings do not suggest that soldiers with the pain diagnoses used in this study are at greater risk. Combat exposure, traumatic brain injury, and psychological health were more important predictors, and should continue to warrant enhanced alcohol screening.

Cost Savings from a Navigator Intervention for Repeat Detoxification Clients.

BACKGROUND: Many clients with substance use disorders (SUD) have multiple admissions to a 24-hour level of care for detoxification without ever progressing to SUD treatment. In the US, health insurers have become concerned about the high costs and ineffective results of repeat detox admissions. For other diseases, health systems increasingly target high-risk, high-cost patients with individually tailored interventions delivered by `navigators' who help patients negotiate the complex health care system. Patient incentives are another increasingly common intervention. AIMS OF THE STUDY: (i) To examine how health care spending was affected by an intervention intended to improve entry to SUD treatment among clients who had multiple detox admissions. (ii) To see whether spending effects, overall and by type of service, differed by intervention arm. (iii) To assess whether the intervention resulted in net savings from the payer perspective, after subtracting implementation costs. METHODS: The intervention was implemented in a segment of the Massachusetts Medicaid population, and used Recovery Support Navigators (RSNs) who were trained to effectively engage and connect clients with SUD to follow-up care and community resources. Services were funded using a flat daily rate per client. Additionally, in one of the two intervention arms, clients were offered successive incentive payments for meeting pre-specified milestones to reinforce recovery-oriented behaviors. For this paper, multivariate analyses of claims and administrative data were used to measure the intervention's effect on health care spending, and to estimate net savings to the payer. RESULTS: Health care spending grew 1.6 percentage points more slowly for intervention-enrolled members than for others, implying gross savings of $68 per member per month. After subtracting intervention-related costs, net savings were estimated at $57 per member per month. The intervention was also associated with shifts in the health care service mix from more to less acute settings. DISCUSSION: While the results for total spending did not reach statistical significance, they suggest some potential for insurers to reduce the health care costs associated with repeat detox utilization by using a navigator-based intervention. Analyses reported elsewhere found that this intervention had favorable effects on rates of initiation of SUD treatment. Limitations of the study include the fact that neither subjects nor sites were randomized between study groups; lack of data on crime or productivity outcomes; low participant use of RSN services; and a policy change which altered the participant pool and truncated follow-up for some. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: These results suggest some potential for payers to reduce the health care costs associated with repeat detox by using a navigator-based intervention. To the extent that this results in shifting resources from repeat detox to actual treatment, the result should provide longer term benefit to the population coping with SUD. IMPLICATIONS FOR HEALTH POLICY: These results may encourage Medicaid and other payers to further experiment with similar interventions using navigators to decrease health care costs and improved the lives of SUD patients. IMPLICATIONS FOR FURTHER RESEARCH: It could be informative to test similar navigator interventions for detox patients in other settings where enrollment periods are longer.

Use of Systematic Methods to Improve Disease Identification in Administrative Data: The Case of Severe Sepsis.

BACKGROUND: Selection of International Classification of Diseases (ICD)-based coded information for complex conditions such as severe sepsis is a subjective process and the results are sensitive to the codes selected. We use an innovative data exploration method to guide ICD-based case selection for severe sepsis. METHODS: Using the Nationwide Inpatient Sample, we applied Latent Class Analysis (LCA) to determine if medical coders follow any uniform and sensible coding for observations with severe sepsis. We examined whether ICD-9 codes specific to sepsis (038.xx for septicemia, a subset of 995.9 codes representing Systemic Inflammatory Response syndrome, and 785.52 for septic shock) could all be members of the same latent class. RESULTS: Hospitalizations coded with sepsis-specific codes could be assigned to a latent class of their own. This class constituted 22.8% of all potential sepsis observations. The probability of an observation with any sepsis-specific codes being assigned to the residual class was near 0. The chance of an observation in the residual class having a sepsis-specific code as the principal diagnosis was close to 0. Validity of sepsis class assignment is supported by empirical results, which indicated that in-hospital deaths in the sepsis-specific class were around 4 times as likely as that in the residual class. CONCLUSIONS: The conventional methods of defining severe sepsis cases in observational data substantially misclassify sepsis cases. We suggest a methodology that helps reliable selection of ICD codes for conditions that require complex coding.

Examining Racial and Ethnic Differences in Nursing Home Quality.

BACKGROUND: Identifying racial/ethnic differences in quality is central to identifying, monitoring, and reducing disparities. Although disparities across all individual nursing home residents and disparities associated with between-nursing home differences have been established, little is known about the degree to which quality of care varies by race//ethnicity within nursing homes. A study was conducted to measure within-facility differences for a range of publicly reported nursing home quality measures. METHODS: Resident assessment data on approximately 15,000 nursing homes and approximately 3 million residents (2009) were used to assess eight commonly used and publicly reported long-stay quality measures: the proportion of residents with weight loss, with high-risk and low-risk pressure ulcers, with incontinence, with depressive symptoms, in restraints daily, and who experienced a urinary tract infection or functional decline. Each measure was stratified by resident race/ethnicity (non-Hispanic white, non-Hispanic black, and Hispanic), and within-facility differences were examined. RESULTS: Small but significant differences in care on average were found, often in an unexpected direction; in many cases, white residents were experiencing poorer outcomes than black and Hispanic residents in the same facility. However, a broad range of differences in care by race/ethnicity within nursing homes was also found. CONCLUSION: The results suggest that care is delivered equally across all racial/ethnic groups in the same nursing home, on average. The results support the call for publicly reporting stratified nursing home quality measures and suggest that nursing home providers should attempt to identify racial/ethnic within-facility differences in care.

Alcohol Use and HIV Testing in a National Sample of Women.

The HIV/AIDS epidemic continues to disproportionately affect racial and ethnic minority groups and women in the United States. Prevention research suggests that reduced alcohol use and increased HIV testing are associated with lower incidence of HIV transmission among high-risk populations. Multivariable logistic regression analyses of the 2009 National Health Interview Survey data were performed for a national sample of 15,470 adult women to examine the relationship between alcohol use and likelihood of HIV testing. There is a significant association between level of alcohol use and HIV testing. Women who identified as heavy drinkers and moderate drinkers were significantly less likely to report ever testing for HIV. Findings add to the limited literature on the association between alcohol use and HIV testing behaviors among women. Given the incidence of HIV among women, this study highlights the importance of HIV testing, especially for alcohol-using women.

Combat-Acquired Traumatic Brain Injury, Posttraumatic Stress Disorder, and Their Relative Associations With Postdeployment Binge Drinking.

OBJECTIVE: To examine whether experiencing a traumatic brain injury (TBI) on a recent combat deployment was associated with postdeployment binge drinking, independent of posttraumatic stress disorder (PTSD). METHODS: Using the 2008 Department of Defense Survey of Health Related Behaviors among Active Duty Military Personnel, an anonymous survey completed by 28 546 personnel, the study sample included 6824 personnel who had a combat deployment in the past year. Path analysis was used to examine whether PTSD accounted for the total association between TBI and binge drinking. MAIN MEASURES: The dependent variable, binge drinking days, was an ordinal measure capturing the number of times personnel drank 5+ drinks on one occasion (4+ for women) in the past month. Traumatic brain injury level captured the severity of TBI after a combat injury event exposure: TBI-AC (altered consciousness only), TBI-LOC of 20 or less (loss of consciousness up to 20 minutes), and TBI-LOC of more than 20 (loss of consciousness >20 minutes). A PTSD-positive screen relied on the standard diagnostic cutoff of 50+ on the PTSD Checklist-Civilian. RESULTS: The final path model found that while the direct effect of TBI (0.097) on binge drinking was smaller than that of PTSD (0.156), both were significant. Almost 70% of the total effect of TBI on binge drinking was from the direct effect; only 30% represented the indirect effect through PTSD. CONCLUSION: Further research is needed to replicate these findings and to understand the underlying mechanisms that explain the relationship between TBI and increased postdeployment drinking.

Racial/Ethnic disparities in patient experience with communication in hospitals: real differences or measurement errors?

BACKGROUND: An important aspect of medical care is clear and effective communication, which can be particularly challenging for individuals based on race/ethnicity. Quality of communication is measured systematically in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, and analyzed frequently such as in the National Healthcare Disparities Report. Caution is needed to discern differences in communication quality from racial/ethnic differences in perceptions about concepts or expectations about their fulfillment. OBJECTIVES: To examine assumptions about the degree of commonality across racial/ethnic groups in their perceptions and expectations, and to investigate the validity of conclusions regarding racial/ethnic differences in communication quality. METHODS: We used 2007 HCAHPS data from the National CAHPS Benchmarking Database to construct racial/ethnic samples that controlled for other patient characteristics (828 per group). Using multiple-groups confirmatory factor analyses, we tested whether the factor structure and model parameters (ie, factor loadings, intercepts) differed across groups. RESULTS: We identified support for basic tests of equivalence across 7 racial/ethnic groups in terms of equivalent factor structure and loadings. Even stronger support was found for Communication with Doctors and Nurses. However, potentially important nonequivalence was found for Communication about Medicines, including instances of statistically significant differences between non-Hispanic whites and non-Hispanic blacks, Asians, and Native Hawaiian/other Pacific Islanders. CONCLUSIONS: Our results provide strongest support for racial/ethnic comparisons on Communication with Nurses and Doctors, and reason to caution against comparisons on Communication about Medicines due to significant differences in model parameters across groups; that is, a lack of invariance in the intercept.

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.

Opioid Overdose After Medication for Opioid Use Disorder Initiation Following Hospitalization or ED Visit.

Importance: Hospitalizations related to opioid use disorder (OUD) represent an opportunity to initiate medication for OUD (MOUD). Objective: To assess whether starting MOUD after a hospitalization or emergency department (ED) visit is associated with the odds of fatal and nonfatal opioid overdose at 6 and 12 months. Design, Setting, and Participants: This population-based cohort study used data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other administrative health datasets, for individuals aged 18 years or older who had diagnosis codes related to OUD recorded at an index ED visit or hospitalization from January 2017 to December 2019. Data were analyzed between May 2023 and January 2024. Exposures: Receipt of MOUD within the 7 days after an OUD-related hospital visit. Main Outcomes and Measures: The primary outcome was fatal or nonfatal overdose at 6 and 12 months after discharge. Sample characteristics, including age, sex, insurance plan, number of comorbidities, and opioid-related overdose events, were stratified by receipt or nonreceipt of MOUD within 7 days after an OUD-related hospital visit. A logistic regression model was used to investigate the association between receipt of MOUD and having an opioid overdose event. Results: The study included 22 235 patients (53.1% female; 25.0% aged 25-39 years) who had an OUD-related hospital visit during the study period. Overall, 1184 patients (5.3%) received MOUD within 7 days of their ED visit or hospitalization. Of these patients, 683 (57.7%) received buprenorphine, 463 (39.1%) received methadone, and 46 (3.9%) received long-acting injectable naltrexone. Patients who received MOUD within 7 days after discharge had lower adjusted odds of fatal or nonfatal overdose at 6 months compared with those who did not (adjusted odds ratio [AOR], 0.63; 95% CI, 0.41-0.97). At 12 months, there was no difference in adjusted odds of fatal or nonfatal overdose between these groups (AOR, 0.79; 95% CI, 0.58-1.08). Patients had a lower risk of fatal or nonfatal overdose at 6 months associated with buprenorphine use (AOR, 0.50; 95% CI, 0.27-0.95) but not with methadone use (AOR, 0.57; 95% CI, 0.28-1.17). Conclusions and Relevance: In this cohort study of individuals with an OUD-related hospital visit, initiation of MOUD was associated with reduced odds of opioid-related overdose at 6 months. Hospitals should consider implementing programs and protocols to offer initiation of MOUD to patients with OUD who present for care.

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.

Traumatic brain injury among U.S. active duty military personnel and negative drinking-related consequences.

This study used the 2008 Department of Defense Survey of Health Related Behaviors among Active Duty Military Personnel to determine whether traumatic brain injury (TBI) is associated with past year drinking-related consequences. The study sample included currently drinking personnel who had a combat deployment in the past year and were home for ≥6 months (N = 3,350). Negative binomial regression models were used to assess the incidence rate ratios of consequences, by TBI-level. Experiencing a TBI with a loss of consciousness for more than 20 minutes was significantly associated with consequences independent of demographics, combat exposure, posttraumatic stress disorder, and binge drinking. The study's limitations are noted.

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.

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.

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.

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.

Treatment services: triangulation of methods when there is no gold standard.

Information about treatment services can be ascertained in several ways. We examine the level of agreement among data on substance user treatment services collected via multiple methods and respondents in the nationally representative Alcohol and Drug Services Study (ADSS, 1996-1999), and potential reasons for discrepancies. Data were obtained separately from facility director reports, treatment record abstracts, and client interviews. Concordance was generally acceptable across methods and respondents. Although any of these methods should be adequate, additional information is gleaned from multiple sources.