10 research outputs found

    Mental health and substance use disorder comorbidities among Medicaid beneficiaries: Associations with opioid use disorder and prescription opioid misuse

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    Medicaid presently insures about one-fourth of the US population and disproportionately insures about thirty eight percent of non-elderly adults with an opioid use disorder (OUD). Owing to Medicaid’s prominent role insuring persons with an OUD and that Medicaid coverage includes pharmaceutical benefits, there has been considerable interest in studying potential prescription opioid misuse among Medicaid beneficiaries and identifying subpopulations at higher risk for misuse and possible progression to an OUD. Study goals were to explore the associations among prescription opioid misuse, OUD, and co-occurring mental health and other substance use disorders (SUD). We analyzed Illinois Medicaid 2018 claims data for 1,102,479 adult beneficiaries 18 to 64 years of age. Using algorithms based on previous studies, we first determined the presence or absence of nine SUDS (including OUD) as well as nine mental health disorders and likely prescription opioid misuse. We then subdivided the beneficiary sample into five groups: those who were prescribed opioids and evidenced either no, possible, or probable misuse; those evidencing an OUD; and those evidencing no opioid use or misuse. Bivariate analyses, upset plots, and multinomial logistic regressions were used to compare the five subgroups on the prevalence of co-occurring SUDS and mental health disorders. Those with an OUD or with probable prescription opioid misuse had the highest prevalences of most co-occurring conditions with beneficiaries with an OUD the most likely to evidence co-occurring SUDS, particularly tobacco use disorder, whereas those with probable misuse had elevated prevalence rates of co-occurring mental health disorders comparable to those with an OUD. The medical complexity of persons with an OUD or misusing prescription opioids are considered in light of recent attempts to expand buprenorphine provision as medication assisted treatment among Medicaid beneficiaries. We also consider the possibility co-occurring mental health disorders and tobacco use disorder as important risk factors for progressing to prescription opioid misuse and an OUD

    A measurement invariance analysis of selected Opioid Overdose Knowledge Scale (OOKS) items among bystanders and first responders

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    The Opioid Overdose Knowledge Scale (OOKS) is widely used as an adjunct to opioid education and naloxone distribution (OEND) for assessing pre- and post-training knowledge. However, the extent to which the OOKS performs comparably for bystander and first responder groups has not been well determined. We used exploratory structural equation modeling (ESEM) to assess the measurement invariance of an OOKS item subset when used as an OEND training pre-test. We used secondary analysis of pre-test data collected from 446 first responders and 1,349 bystanders (N = 1,795) attending OEND trainings conducted by two county public health departments. Twenty-four items were selected by practitioner/trainer consensus from the original 45-item OOKS instrument with an additional 2 removed owing to low response variation. We used exploratory factor analysis (EFA) followed by ESEM to identify a factor structure, which we assessed for configural, metric, and scalar measurement invariance by participant group using the 22 dichotomous items (correct/incorrect) as factor indicators. EFA identified a 3-factor model consisting of items assessing: basic overdose risk information, signs of an overdose, and rescue procedures/ advanced overdose risk information. Model fit by ESEM estimation versus confirmatory factor analysis showed the ESEM model afforded a better fit. Measurement invariance analyses indicated the 3-factor model fit the data across all levels of invariance per standard fit statistic metrics. The reduced set of 22 OOKS items appears to offer comparable measurement of pre-training knowledge on opioid overdose risks, signs of an overdose, and rescue procedures for both bystanders and first responders

    Adolescent Cannabis Use Among Youth in ZIP Codes with Medical Dispensaries

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    Introduction. In the United States, 19 states permit recreational use of cannabis, with 16 more permitting medical use (Marijuana Policy Project, 2021). Concerns remain about whether liberalized policies result in increased adolescent cannabis use. To date, limited evidence exists that the statewide prevalence of adolescent cannabis use increased in states with liberalized policies. However, analyses at local levels show some negative impacts. Thus, we analyzed if living in a ZIP code with a dispensary (ZCWD) was associated with adolescent cannabis use. Methods. Dispensary ZIP codes from public records were matched to self-reported ZIP codes on the Illinois Youth Survey (IYS). We compared past 30-day and past-year cannabis use among youth living in a ZCWD and not living in a ZCWD. Results. About one in eight adolescents (12.8%, n = 1,348) in the weighted sample (n=10,569) resided in a ZCWD. Overall, past 30-day use was lower among youth who lived in ZIP codes with dispensaries (OR = .69, p < .05), with variation by grade. For example, only 10th (OR = .62, p < .05) and 12th graders (OR = .59, p < .05) living in a ZCWD had lower odds of past 30-day cannabis use. Additionally, only 12th graders in a ZCWD had lower odds of past-year use (OR = .70, p < .05). Finally, suburban youth living in a ZCWD also had lower odds of cannabis use (OR = .54, p < .01). Conclusion/Discussion. Cannabis use was significantly lower among 10th and 12th graders living in a ZCWD. Additional research should continue to monitor evolving state policies and whether they are associated with adolescent cannabis use

    Syringe service program-based telemedicine linkage to opioid use disorder treatment: protocol for the STAMINA randomized control trial

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    BACKGROUND: A key strategy for mitigating the current opioid epidemic is expanded access to medications for treating opioid use disorder (MOUD). However, interventions developed to expand MOUD access have limited ability to engage opioid users at higher levels of overdose risk, such as those who inject opioids. This paper describes the study protocol for testing STAMINA (Syringe Service Telemedicine Access for Medication-assisted Intervention through NAvigation), an intervention that engages high-risk opioid users at community-based syringe service programs (SSP) and quickly links them to MOUD using a telemedicine platform. METHODS: This randomized control trial will be conducted at three SSP sites in Chicago. All participants will complete an initial assessment with a provider from a Federally Qualified Health Center who can prescribe or refer MOUD services as appropriate. The control arm will receive standard referral to treatment and the intervention arm will receive immediate telemedicine linkage to the provider and (depending on the type of MOUD prescribed) provided transportation to pick up their induction prescription (for buprenorphine or naltrexone) or attend their intake appointment (for methadone). We aim to recruit a total of 273 participants over two years to provide enough power to detect a difference in our primary outcome of MOUD treatment linkage. Secondary outcomes include treatment engagement, treatment retention, and non-MOUD opioid use. Data will be collected using structured interviews and saliva drug tests delivered at baseline, three months, and six months. Fixed and mixed effects generalized linear regression analyses and survival analysis will be conducted to compare the probabilities of a successful treatment linkage between the two arms, days retained in treatment, and post-baseline opioid and other drug use. DISCUSSION: If successful, STAMINA's telemedicine approach will significantly reduce the amount of time between SSP clients' initial indication of interest in the medication and treatment initiation. Facilitating this process will likely lead to stronger additional treatment- and recovery-oriented outcomes. This study is also timely given the need for more rigorous testing of telemedicine interventions in light of temporary regulatory changes that have occurred during the COVID-19 pandemic. TRIAL REGISTRATION: ClinicalTrials.gov (Clinical Trials ID: NCT04575324 and Protocol Number: 1138-0420). Registered 29 September 2020. The study protocol is also registered on the Open Science Framework (DOI 10.17605/OSF.IO/4853 M)
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