Medicaid-Covered Peer Support Services Used by Enrollees With Opioid Use Disorder.
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ABSTRACT:
SUBMITTER: Bao Y
PROVIDER: S-EPMC11234232 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
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Medicaid-Covered Peer Support Services Used by Enrollees With Opioid Use Disorder.
Bao Yuhua Y Zhang Hao H Hutchings Kayla K Harris Rebecca Arden RA Calderbank Tara T Schackman Bruce R BR
JAMA network open 20240701 7
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Project description:ObjectiveTo examine county-level geographic variation in treatment admissions among opioid treatment programs (OTPs) that accept Medicaid in the continental United States.Data sources/study settingData come from the 2012 National Survey of Substance Abuse Treatment Services.Study design/data collectionWe used local measures of spatial autocorrelation (LISA) analysis to identify (1) clusters of counties with higher and lower than average rates of opioid use disorders and (2) clusters of counties with higher and lower than average treatment admissions among OTPs that accept Medicaid, adjusting for county population size.Principal findingsOur results reveal several clusters of counties with higher than average rates of opioid use disorder (OUD) and lower than average treatment admissions among OTPs that accept Medicaid. These clusters are highly concentrated in the Southeast region of the country and include Arkansas, Kentucky, Louisiana, Mississippi, and Tennessee.ConclusionsMedicaid enrollees in areas in the Southeast have the largest gaps between county-level OUD rates and estimated county-level capacity for treatment, as measured by county-level total treatment admissions among OTPs that accept Medicaid. Policy makers should consider strategies to increase the availability of OTPs with the capacity to serve Medicaid enrollees.
| S-EPMC5785305 | biostudies-literature
Project description:ImportanceEarly COVID-19 mitigation strategies placed an additional burden on individuals seeking care for opioid use disorder (OUD). Telemedicine provided a way to initiate and maintain transmucosal buprenorphine treatment of OUD.ObjectiveTo examine associations between transmucosal buprenorphine OUD treatment modality (telemedicine vs traditional) during the COVID-19 public health emergency and the health outcomes of treatment retention and opioid-related nonfatal overdose.Design, setting, and participantsThis retrospective cohort study was conducted using Medicaid claims and enrollment data from November 1, 2019, to December 31, 2020, for individuals aged 18 to 64 years from Kentucky and Ohio. Data were collected and analyzed in June 2022, with data updated during revision in August 2023.ExposuresThe primary exposure of interest was the modality of the transmucosal buprenorphine OUD treatment initiation. Relevant patient demographic and comorbidity characteristics were included in regression models.Main outcomes and measuresThere were 2 main outcomes of interest: retention in treatment after initiation and opioid-related nonfatal overdose after initiation. For outcomes measured after initiation, a 90-day follow-up period was used. The main analysis used a new-user study design; transmucosal buprenorphine OUD treatment initiation was defined as initiation after more than a 60-day gap in buprenorphine treatment. In addition, uptake of telemedicine for buprenorphine was examined, overall and within patients initiating treatment, across quarters in 2020.ResultsThis study included 41 266 individuals in Kentucky (21 269 women [51.5%]; mean [SD] age, 37.9 [9.0] years) and 50 648 individuals in Ohio (26 425 women [52.2%]; mean [SD] age, 37.1 [9.3] years) who received buprenorphine in 2020, with 18 250 and 24 741 people initiating buprenorphine in Kentucky and Ohio, respectively. Telemedicine buprenorphine initiations increased sharply at the beginning of 2020. Compared with nontelemedicine initiation, telemedicine initiation was associated with better odds of 90-day retention with buprenorphine in both states (Kentucky: adjusted odds ratio, 1.13 [95% CI, 1.01-1.27]; Ohio: adjusted odds ratio, 1.19 [95% CI, 1.06-1.32]) in a regression analysis adjusting for patient demographic and comorbidity characteristics. Telemedicine initiation was not associated with opioid-related nonfatal overdose (Kentucky: adjusted odds ratio, 0.89 [95% CI, 0.56-1.40]; Ohio: adjusted odds ratio, 1.08 [95% CI, 0.83-1.41]).Conclusions and relevanceIn this cohort study of Medicaid enrollees receiving buprenorphine for OUD, telemedicine buprenorphine initiation was associated with retention in treatment early during the COVID-19 pandemic. These findings add to the literature demonstrating positive outcomes associated with the use of telemedicine for treatment of OUD.
| S-EPMC10585416 | biostudies-literature
Project description:ObjectiveTo determine how the rise of telehealth during the COVID-19 pandemic impacted Medicaid enrollees' access to opioid use disorder (OUD) treatment.Data sources and study settingElectronic health records from Northwestern Medicine, a large midwestern academic health system, from January 1, 2019 to December 31, 2021.Study designThe exposure was the expansion of telehealth services during the COVID-19 pandemic. A difference-in-differences design was used to determine the impact of telehealth on the probability of receiving any OUD care, any in-person OUD care, and any telehealth OUD care in a month.Data collection/extraction methodsThe study included Medicaid and privately insured patients older than 18 years of age, diagnosed with OUD, who had any encounter with the Northwestern Medicine system. All outpatient visits with OUD as the primary diagnosis were included in the analysis. There were 486 individuals in the sample and 17,496 person-month observations.Principal findingsAfter the onset of the COVID-19 pandemic, Medicaid enrollees are 4.5 percentage points (percentage change, 43.7%; 95% confidence interval [CI] 8.7 to 0.3 percentage points; p = 0.035) less likely to receive any OUD care in a month, relative to privately insured patients. While no statistically significant differences in the likehood of receiving in-person OUD care were detected between the groups after exposure, we did observe that Medicaid enrollees are 3.6 percentage points (percentage change 64.2%; 95% CI 6.0 to 1.1 percentage points; p = 0.004) less likely to receive any telehealth OUD care in a month relative to privately insured patients.ConclusionsWhile those with private insurance were able to maintain OUD treatment during the pandemic by supplementing in-person care with telehealth, Medicaid enrollees experienced a drop in overall OUD treatment rates due to lower telehealth use. The rise of telehealth for OUD treatment might contribute to widening care gaps for Medicaid enrollees.
| S-EPMC11782059 | biostudies-literature
Project description:The Medicaid program is the largest payer of opioid use disorder (OUD) treatment, including medications for OUD (MOUD). Because of budget neutrality requirements, some Medicaid programs use prescription drug caps to limit the monthly number of prescriptions an enrollee can fill. This study examined the association between Medicaid prescription drug caps and Medicaid-covered prescriptions for 2 forms of MOUD (buprenorphine and naltrexone) from 2017 to 2022 using fee-for-service and managed care data from Medicaid's State Drug Utilization Data. Ten states had monthly prescription drug caps, ranging from 3 to 6 prescriptions. Using multivariate linear regression, we estimated that enrollees in states with monthly drug caps filled 1489.3 fewer MOUD prescriptions per 100 000 enrollees. Further, compared with states with the smallest drug caps (3 drugs), enrollees in states with 4-, 5-, and 6-drug caps filled significantly more prescriptions per state-quarter (907.7, 562.6, and 438.9 more prescriptions, respectively). Our results were robust to sensitivity analyses. Monthly prescription drug caps were significantly associated with a reduction in Medicaid-covered MOUD prescriptions. Medicaid enrollees who need MOUD may be affected by indiscriminate prescription drug cap policies, potentially hindering ongoing efforts to mitigate the opioid crisis.
| S-EPMC11642619 | biostudies-literature
Project description:ImportanceThe opioid crisis disproportionately affects Medicaid enrollees, yet little systematic evidence exists regarding how prevalence of and health care utilization for opioid use disorder (OUD) vary across geographical areas.ObjectivesTo characterize state- and county-level variation in claims-based prevalence of OUD and rates of medication treatment for OUD and OUD-related nonfatal overdose among Medicaid enrollees.Design, setting, and participantsThis cross-sectional study used data from the Transformed Medicaid Statistical Information System Analytic Files from January 1, 2016, to December 31, 2018. Participants were Medicaid enrollees with or without OUD in 46 states; Washington, DC; and Puerto Rico who were aged 18 to 64 years and not dually enrolled in Medicare. The analysis was conducted between September 2022 and April 2023.ExposureCalendar-year OUD prevalence.Main outcomes and measuresThe main outcomes were claims-based measures of OUD prevalence and rates of medication treatment for OUD and opioid-related nonfatal overdose. Individual records were aggregated at the state and county level, and variation was assessed within and across states.ResultsOf the 76 390 817 Medicaid enrollee-year observations included in our study (mean [SD] enrollee age, 36.5 [1.6] years; 59.0% female), 2 280 272 (3.0%) had a claims-based OUD (mean [SD] age, 38.9 [3.6] years; 51.4% female). Of enrollees with OUD, 41.2% were eligible due to Medicaid expansion, 46.4% had other substance use disorders, 55.8% had mental health conditions, 55.2% had claims indicating some form of OUD medication, and 5.8% had claims indicating an overdose during a calendar year. Claims-based outcomes exhibited substantial variation across states: OUD prevalence ranged from 0.6% in Arkansas and Puerto Rico to 9.7% in Maryland, rates of OUD medication treatment ranged from 17.7% in Kansas to 82.8% in Maine, and rates of overdose ranged from 0.3% in Mississippi to 10.5% in Illinois. Pronounced variation was also found within states (eg, OUD prevalence in Maryland ranged from 2.2% in Prince George's County to 21.6% in Cecil County).Conclusions and relevanceIn this cross-sectional study of Medicaid enrollees from 2016 to 2018, claims-based prevalence of OUD and rates of OUD medication treatment and opioid-related overdose varied substantially across and within states. Further research appears to be needed to identify important factors influencing this variation.
| S-EPMC10290243 | biostudies-literature
Project description:ImportanceThere is limited information about trends in the treatment of opioid use disorder (OUD) among Medicaid enrollees.ObjectiveTo examine the use of medications for OUD and potential indicators of quality of care in multiple states.Design, setting, and participantsExploratory serial cross-sectional study of 1 024 301 Medicaid enrollees in 11 states aged 12 through 64 years (not eligible for Medicare) with International Classification of Diseases, Ninth Revision (ICD-9 or ICD-10) codes for OUD from 2014 through 2018. Each state used generalized estimating equations to estimate associations between enrollee characteristics and outcome measure prevalence, subsequently pooled to generate global estimates using random effects meta-analyses.ExposuresCalendar year, demographic characteristics, eligibility groups, and comorbidities.Main outcomes and measuresUse of medications for OUD (buprenorphine, methadone, or naltrexone); potential indicators of good quality (OUD medication continuity for 180 days, behavioral health counseling, urine drug tests); potential indicators of poor quality (prescribing of opioid analgesics and benzodiazepines).ResultsIn 2018, 41.7% of Medicaid enrollees with OUD were aged 21 through 34 years, 51.2% were female, 76.1% were non-Hispanic White, 50.7% were eligible through Medicaid expansion, and 50.6% had other substance use disorders. Prevalence of OUD increased in these 11 states from 3.3% (290 628 of 8 737 082) in 2014 to 5.0% (527 983 of 10 585 790) in 2018. The pooled prevalence of enrollees with OUD receiving medication treatment increased from 47.8% in 2014 (range across states, 35.3% to 74.5%) to 57.1% in 2018 (range, 45.7% to 71.7%). The overall prevalence of enrollees receiving 180 days of continuous medications for OUD did not significantly change from the 2014-2015 to 2017-2018 periods (-0.01 prevalence difference, 95% CI, -0.03 to 0.02) with state variability in trend (90% prediction interval, -0.08 to 0.06). Non-Hispanic Black enrollees had lower OUD medication use than White enrollees (prevalence ratio [PR], 0.72; 95% CI, 0.64 to 0.81; P < .001; 90% prediction interval, 0.52 to 1.00). Pregnant women had higher use of OUD medications (PR, 1.18; 95% CI, 1.11-1.25; P < .001; 90% prediction interval, 1.01-1.38) and medication continuity (PR, 1.14; 95% CI, 1.10-1.17, P < .001; 90% prediction interval, 1.06-1.22) than did other eligibility groups.Conclusions and relevanceAmong US Medicaid enrollees in 11 states, the prevalence of medication use for treatment of opioid use disorder increased from 2014 through 2018. The pattern in other states requires further research.
| S-EPMC8278273 | biostudies-literature
Project description:ObjectiveThe Patient Protection and Affordable Care Act (ACA) increases Medicaid physician fees for preventive care up to Medicare rates for 2013 and 2014. The purpose of this paper was to model the relationship between Medicaid preventive care payment rates and the use of U.S. Preventive Services Task Force (USPSTF)-recommended preventive care use among Medicaid enrollees.Data sources/study sessionWe used data from the 2003 and 2008 Medical Expenditure Panel Survey (MEPS), a national probability sample of the U.S. civilian, noninstitutionalized population, linked to Kaiser state Medicaid benefits data, including the state Medicaid-to-Medicare physician fee ratio in 2003 and 2008.Study designProbit models were used to estimate the probability that eligible individuals received one of five USPSF-recommended preventive services. A difference-in-difference model was used to separate out the effect of changes in the Medicaid payment rate and other factors.Data collection/extraction methodsData were linked using state identifiers.Principal findingsAlthough Medicaid enrollees had a lower rate of use of the five preventive services in univariate analysis, neither Medicaid enrollment nor changes in Medicaid payment rates had statistically significant effects on meeting screening recommendations for the five screenings. The results were robust to a number of different sensitivity tests. Individual and state characteristics were significant.ConclusionsOur results suggest that although temporary changes in primary care provider payments for preventive services for Medicaid enrollees may have other desirable effects, they are unlikely to substantially increase the use of these selected USPSTF-recommended preventive care services among Medicaid enrollees.
| S-EPMC4111777 | biostudies-literature
Project description:BackgroundTreatment guidelines recommend regular urine drug testing (UDT) for persons initiating buprenorphine for opioid use disorder (OUD). However, little is known about UDT utilization. We describe state variation in UDT utilization and examine demographic, health, and health care utilization factors associated with UDT in Medicaid.MethodsWe used Medicaid claims and enrollment data from persons initiating buprenorphine treatment for OUD during 2016-2019 in 9 states (DE, KY, MD, ME, MI, NC, PA, WI, WV). The main outcome was at least 1 UDT within 180 days of buprenorphine initiation, the secondary outcome was at least 3. Logistic regression models included demographics, pre-initiation comorbidities, and health service use. State estimates were pooled using meta-analysis.ResultsThe study cohort included 162,437 Medicaid enrollees initiating buprenorphine. The percent receiving ≥1 UDT varied from 62.1% to 89.8% by state. In the pooled analysis, enrollees with pre-initiation UDT had much higher odds of ≥1 UDT after initiation (aOR=3.83, 3.09-4.73); odds were also higher for enrollees with HIV, HCV, and/or HBV infection (aOR=1.25, 1.05-1.48) or who initiated in later years (2018 v 2016: aOR=1.39, 1.03-1.89; 2019 v 2016: aOR=1.67, 1.24-2.25). The odds of having ≥3 UDT were lower with pre-initiation opioid overdose (aOR=0.79, 0.64-0.96) and higher with pre-initiation UDT (aOR=2.63, 2.13-3.25) or OUD care (aOR=1.35, 1.04-1.74). The direction of associations with demographics varied by state.ConclusionsRates of UDT increased over time and there was variability among states in UDT rates and demographic predictors of UDT. Pre-initiation conditions, UDT, and OUD care were associated with UDT.
| S-EPMC10529442 | biostudies-literature
Project description:BackgroundFollow-up after residential treatment is considered best practice in supporting patients with opioid use disorder (OUD) in their recovery. Yet, little is known about rates of follow-up after discharge. The objective of this analysis was to measure rates of follow-up and use of medications for OUD (MOUD) after residential treatment among Medicaid enrollees in 10 states, and to understand the enrollee and episode characteristics that are associated with both outcomes.MethodsUsing a distributed research network to analyze Medicaid claims data, we estimated the likelihood of 4 outcomes occurring within 7 and 30 days post-discharge from residential treatment for OUD using multinomial logit regression: no follow-up or MOUD, follow-up visit only, MOUD only, or both follow-up and MOUD. We used meta-analysis techniques to pool state-specific estimates into global estimates.ResultsWe identified 90,639 episodes of residential treatment for OUD for 69,017 enrollees from 2018 to 2019. We found that 62.5% and 46.9% of episodes did not receive any follow-up or MOUD at 7 days and 30 days, respectively. In adjusted analyses, co-occurring mental health conditions, longer lengths of stay, prior receipt of MOUD or behavioral health counseling, and a recent ED visit for OUD were associated with a greater likelihood of receiving follow-up treatment including MOUD after discharge.ConclusionsForty-seven percent of residential treatment episodes for Medicaid enrollees are not followed by an outpatient visit or MOUD, and thus are not following best practices.
| S-EPMC10756712 | biostudies-literature
Project description:Opioid analgesic and benzodiazepine use in individuals with opioid use disorders can increase the risk for medical consequences and relapse. Little is known about rates of use of these medications or prescribing patterns among communities of prescribers. The goal of this study was to examine rates of prescribing to Medicaid-enrollees in the calendar year after an opioid use disorder diagnosis, and to examine individual, county, and provider community factors associated with such prescribing. 2008 Medicaid claims data were used from 12 states to identify enrollees diagnosed with opioid use disorders, and 2009 claims data were used to identify rates of prescribing of each drug. Social network analysis was used to identify provider communities, and multivariate regression analyses was used to to identify patient, county, and provider community level factors associated with prescribing these drugs. The authors also examined variation in rates of prescribing across provider communities. Among Medicaid-enrollees identified with an opioid use disorder, 45% filled a prescription for an opioid analgesic, 37% filled a prescription for a benzodiazepine, and 21% filled a prescription for both in the year following their diagnosis. Females, older individuals, individuals with pain syndromes, and individuals residing in counties with higher rates of poverty were more likely to fill prescriptions. Prescribing rates varied substantially across provider communities, with rates in the highest quartile of prescribing communities over 2.5 times the rates in the lowest prescribing communities. Prescribing opioid analgesics and benzodiazepines to individuals diagnosed with opioid use disorders may increase risk of relapse and overdose. Interventions should be considered that target provider communities with the highest rates of prescribing and individuals at the highest risk.
| S-EPMC5366980 | biostudies-literature