Applying Machine Learning Models Derived From Administrative Claims Data to Predict Medication Nonadherence in Patients Self-Administering Biologic Medications for Inflammatory Bowel Disease.

Background: Adherence to self-administered biologic therapies is important to induce remission and prevent adverse clinical outcomes in Inflammatory bowel disease (IBD). This study aimed to use administrative claims data and machine learning methods to predict nonadherence in an academic medical center test population. Methods: A model-training dataset of beneficiaries with IBD and the first unique dispense of a self-administered biologic between June 30, 2016 and June 30, 2019 was extracted from the Commercial Claims and Encounters and Medicare Supplemental Administrative Claims Database. Known correlates of medication nonadherence were identified in the dataset. Nonadherence to biologic therapies was defined as a proportion of days covered ratio <80% at 1 year. A similar dataset was obtained from a tertiary academic medical center's electronic medical record data for use in model testing. A total of 48 machine learning models were trained and assessed utilizing the area under the receiver operating characteristic curve as the primary measure of predictive validity. Results: The training dataset included 6998 beneficiaries (n = 2680 nonadherent, 38.3%) while the testing dataset included 285 patients (n = 134 nonadherent, 47.0%). When applied to test data, the highest performing models had an area under the receiver operating characteristic curve of 0.55, indicating poor predictive performance. The majority of models trained had low sensitivity and high specificity. Conclusions: Administrative claims-trained models were unable to predict biologic medication nonadherence in patients with IBD. Future research may benefit from datasets with enriched demographic and clinical data in training predictive models.

Utilization of long-acting injectable monthly depot buprenorphine for opioid use disorder (OUD) in Kentucky, before and after COVID-19 related buprenorphine access policy changes.

INTRODUCTION: Long-acting injectable buprenorphine (LAI-bup) formulations have advantages over transmucosal buprenorphine (TM-bup), but barriers may limit their utilization. Several policies shifted during the COVID-19 pandemic to promote buprenorphine access. The federal government expanded telemedicine treatment for opioid use disorder and Kentucky (KY) Medicaid lifted prior authorization requirements (PAs) for LAI-bup (i.e., Sublocade®). This retrospective cohort study evaluated changes in LAI-bup access, utilization, and retention before and after these policy changes in KY. METHODS: Individual-level TM-bup and LAI-bup dispensing record data from KY's prescription drug monitoring program examined LAI-bup utilization and retention, without a >30-day gap in coverage, for patients starting a new episode of LAI-bup treatment. Two key time periods were examined: pre-policy changes (Apr 1, 2019 - Dec 31, 2019) and post-policy changes (Apr 1, 2020 - Dec 31, 2020). Data on PA requests among Medicaid managed care organizations and availability of LAI-bup Risk Evaluation and Mitigation Strategy (REMS)-certified pharmacies were also obtained. A multivariable Cox proportional hazard regression model analysis compared pre- versus post-policy period treatment discontinuation. RESULTS: The number of patients initiating LAI-bup increased from 211 to 481 over the two periods. By the end of the post-policy period, 24.3 % of eligible patients were retained on LAI-bup, versus 12.5 % in the pre-policy change period. The adjusted hazard ratio, comparing discontinuation during the post- versus pre-policy change periods, was 0.70 (95 % confidence interval: 0.55-0.89). There were also more REMS-certified pharmacies and providers in the post-policy change period. CONCLUSIONS: LAI-bup access, utilization, and retention increased after several policy changes.

Barriers to Buprenorphine Dispensing by Medicaid-Participating Community Retail Pharmacies.

Importance: Controlled substances have regulatory requirements under the US Federal Controlled Substance Act that must be met before pharmacies can stock and dispense them. However, emerging evidence suggests there are pharmacy-level barriers in access to buprenorphine for treatment for opioid use disorder even among pharmacies that dispense other opioids. Objective: To estimate the proportion of Medicaid-participating community retail pharmacies that dispense buprenorphine, out of Medicaid-participating community retail pharmacies that dispense other opioids and assess if the proportion dispensing buprenorphine varies by Medicaid patient volume or rural-urban location. Design, Setting, and Participants: This serial cross-sectional study included Medicaid pharmacy claims (2016-2019) data from 6 states (Kentucky, Maine, North Carolina, Pennsylvania, Virginia, West Virginia) participating in the Medicaid Outcomes Distributed Research Network (MODRN). Community retail pharmacies serving Medicaid-enrolled patients were included, mail-order pharmacies were excluded. Analyses were conducted from September 2022 to August 2023. Main Outcomes and Measures: The proportion of pharmacies dispensing buprenorphine approved for opioid use disorder among pharmacies dispensing an opioid analgesic or buprenorphine prescription to at least 1 Medicaid enrollee in each state. Pharmacies were categorized by median Medicaid patient volume (by state and year) and rurality (urban vs rural location according to zip code). Results: In 2016, 72.0% (95% CI, 70.9%-73.0%) of the 7038 pharmacies that dispensed opioids also dispensed buprenorphine to Medicaid enrollees, increasing to 80.4% (95% CI, 79.5%-81.3%) of 7437 pharmacies in 2019. States varied in the percent of pharmacies dispensing buprenorphine in Medicaid (range, 73.8%-96.4%), with significant differences between several states found in 2019 (χ2 P < .05), when states were most similar in the percent of pharmacies dispensing buprenorphine. A lower percent of pharmacies with Medicaid patient volume below the median dispensed buprenorphine (69.1% vs 91.7% in 2019), compared with pharmacies with above-median patient volume (χ2 P < .001). Conclusions and Relevance: In this serial cross-sectional study of Medicaid-participating pharmacies, buprenorphine was not accessible in up to 20% of community retail pharmacies, presenting pharmacy-level barriers to patients with Medicaid seeking buprenorphine treatment. That some pharmacies dispensed opioid analgesics but not buprenorphine suggests that factors other than compliance with the Controlled Substance Act influence pharmacy dispensing decisions.

Effect of the Communities that HEAL intervention on receipt of behavioral therapies for opioid use disorder: A cluster randomized wait-list controlled trial.

BACKGROUND: The U.S. opioid overdose crisis persists. Outpatient behavioral health services (BHS) are essential components of a comprehensive response to opioid use disorder and overdose fatalities. The Helping to End Addiction Long-Term® (HEALing) Communities Study developed the Communities That HEAL (CTH) intervention to reduce opioid overdose deaths in 67 communities in Kentucky, Ohio, New York, and Massachusetts through the implementation of evidence-based practices (EBPs), including BHS. This paper compares the rate of individuals receiving outpatient BHS in Wave 1 intervention communities (n = 34) to waitlisted Wave 2 communities (n = 33). METHODS: Medicaid data included individuals ≥18 years of age receiving any of five BHS categories: intensive outpatient, outpatient, case management, peer support, and case management or peer support. Negative binomial regression models estimated the rate of receiving each BHS for Wave 1 and Wave 2. Effect modification analyses evaluated changes in the effect of the CTH intervention between Wave 1 and Wave 2 by research site, rurality, age, sex, and race/ethnicity. RESULTS: No significant differences were detected between intervention and waitlisted communities in the rate of individuals receiving any of the five BHS categories. None of the interaction effects used to test the effect modification were significant. CONCLUSIONS: Several factors should be considered when interpreting results-no significant intervention effects were observed through Medicaid claims data, the best available data source but limited in terms of capturing individuals reached by the intervention. Also, the 12-month evaluation window may have been too brief to see improved outcomes considering the time required to stand-up BHS. TRIAL REGISTRATION: Clinical Trials.gov http://www. CLINICALTRIALS: gov: Identifier: NCT04111939.

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.

Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries. For adults, we used a federated learning approach whereby we ran Cox proportional hazard models locally at each healthcare system and performed a meta-analysis on the aggregated results to estimate the overall risk of adverse outcomes across our geographically diverse populations. For children, we reported descriptive statistics separately due to their low frequency of neurological involvement and poor outcomes. Among the 106,229 hospitalized COVID-19 patients (104,031 patients ≥18 years; 2,198 patients <18 years, January 2020-October 2021), 15,101 (14%) had at least one CNS diagnosis, while 2,788 (3%) had at least one PNS diagnosis. After controlling for demographics and pre-existing conditions, adults with CNS involvement had longer hospital stay (11 versus 6 days) and greater risk of (Hazard Ratio = 1.78) and faster time to death (12 versus 24 days) than patients with no neurological condition (NNC) during acute COVID-19 hospitalization. Adults with PNS involvement also had longer hospital stay but lower risk of mortality than the NNC group. Although children had a low frequency of neurological involvement during COVID-19 hospitalization, a substantially higher proportion of children with CNS involvement died compared to those with NNC (6% vs 1%). Overall, patients with concurrent CNS manifestation during acute COVID-19 hospitalization faced greater risks for adverse clinical outcomes than patients without any neurological diagnosis. Our global informatics framework using a federated approach (versus a centralized data collection approach) has utility for clinical discovery beyond COVID-19.

Impact of the Communities That HEAL Intervention on Buprenorphine-Waivered Practitioners and Buprenorphine Prescribing: A Prespecified Secondary Analysis of the HCS Randomized Clinical Trial.

Importance: Buprenorphine significantly reduces opioid-related overdose mortality. From 2002 to 2022, the Drug Addiction Treatment Act of 2000 (DATA 2000) required qualified practitioners to receive a waiver from the Drug Enforcement Agency to prescribe buprenorphine for treatment of opioid use disorder. During this period, waiver uptake among practitioners was modest; subsequent changes need to be examined. Objective: To determine whether the Communities That HEAL (CTH) intervention increased the rate of practitioners with DATA 2000 waivers and buprenorphine prescribing. Design, Setting, and Participants: This prespecified secondary analysis of the HEALing Communities Study, a multisite, 2-arm, parallel, community-level, cluster randomized, open, wait-list-controlled comparison clinical trial was designed to assess the effectiveness of the CTH intervention and was conducted between January 1, 2020, to December 31, 2023, in 67 communities in Kentucky, Massachusetts, New York, and Ohio, accounting for approximately 8.2 million adults. The participants in this trial were communities consisting of counties (n = 48) and municipalities (n = 19). Trial arm randomization was conducted using a covariate constrained randomization procedure stratified by state. Each state was balanced by community characteristics including urban/rural classification, fatal opioid overdose rate, and community population. Thirty-four communities were randomized to the intervention and 33 to wait-list control arms. Data analysis was conducted between March 20 and September 29, 2023, with a focus on the comparison period from July 1, 2021, to June 30, 2022. Intervention: Waiver trainings and other educational trainings were offered or supported by the HEALing Communities Study research sites in each state to help build practitioner capacity. Main Outcomes and Measures: The rate of practitioners with a DATA 2000 waiver (overall, and stratified by 30-, 100-, and 275-patient limits) per 100 000 adult residents aged 18 years or older during July 1, 2021, to June 30, 2022, were compared between the intervention and wait-list control communities. The rate of buprenorphine prescribing among those waivered practitioners was also compared between the intervention and wait-list control communities. Intention-to-treat and per-protocol analyses were performed. Results: A total of 8 166 963 individuals aged 18 years or older were residents of the 67 communities studied. There was no evidence of an effect of the CTH intervention on the adjusted rate of practitioners with a DATA 2000 waiver (adjusted relative rate [ARR], 1.04; 95% CI, 0.94-1.14) or the adjusted rate of practitioners with a DATA 2000 waiver who actively prescribed buprenorphine (ARR, 0.97; 95% CI, 0.86-1.10). Conclusions and Relevance: In this randomized clinical trial, the CTH intervention was not associated with increases in the rate of practitioners with a DATA 2000 waiver or buprenorphine prescribing among those waivered practitioners. Supporting practitioners to prescribe buprenorphine remains a critical yet challenging step in the continuum of care to treat opioid use disorder. Trial Registration: ClinicalTrials.gov Identifier: NCT04111939.

Inflammatory Bowel Disease in Appalachian Kentucky: An Investigation of Outcomes and Health Care Utilization.

BACKGROUND: Rural residence has been associated with a lower incidence of inflammatory bowel disease (IBD) but higher health care utilization and worse outcomes. Socioeconomic status is intrinsically tied to both IBD incidence and outcomes. Inflammatory bowel disease outcomes have not been investigated in Appalachia: a rural, economically distressed region rife with risk factors for both increased incidence and unfavorable outcomes. METHODS: Hospital inpatient discharge and outpatient services databases were utilized to assess outcomes in patients diagnosed with either Crohn's disease (CD) or ulcerative colitis (UC) in Kentucky. Encounters were classified by patient residence in Appalachian or non-Appalachian counties. Data were reported as crude and age-adjusted rates of visits per 100,000 population per year collected in 2016 to 2019. National inpatient discharge data from 2019, stratified by rural and urban classification codes, were utilized to compare Kentucky to national trends. RESULTS: Crude and age-adjusted rates of inpatient, emergency department and outpatient encounters were higher in the Appalachian cohort for all 4 years observed. Appalachian inpatient encounters are more frequently associated with a surgical procedure (Appalachian, 676, 24.7% vs non-Appalachian, 1408, 22.2%; P = .0091). In 2019, the Kentucky Appalachian cohort had significantly higher crude and age-adjusted rates of inpatient discharges for all IBD diagnoses compared with national rural and nonrural populations (crude 55.2; 95% CI, 50.9-59.5; age-adjusted 56.7; 95% CI, 52.1-61.3). CONCLUSIONS: There is disproportionately higher IBD health care utilization in Appalachian Kentucky compared with all cohorts, including the national rural population. There is a need for aggressive investigation into root causes of these disparate outcomes and identification of barriers to appropriate IBD care.

The Kentucky Appalachian IBD population experiences increased health care utilization, with increased rates of inpatient admissions, emergency department, and outpatient visits compared with non-Appalachian Kentuckians. Kentucky Appalachian rates of inpatient admissions are higher compared with national rates, controlling for rural residence.

Telemedicine Buprenorphine Initiation and Retention in Opioid Use Disorder Treatment for Medicaid Enrollees.

Importance: Early 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. Objective: To 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 Participants: This 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. Exposures: The 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 Measures: There 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. Results: This 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 Relevance: In 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.

Contributions of a central registry to monitor methadone -treatment through the HEALing Communities Study.

OBJECTIVE: To describe the process of establishing a Methadone Central Registry (MCR) as part of the HEALing (Helping to End Addiction Long-termSM) Communities Study (HCS) and to support recommendations with evidence of its functionality relative to Medicaid claims data for monitoring utilization of methadone, an evidence-based treatment for opioid use disorder. DESIGN AND PARTICIPANTS: The manuscript authors were active participants in establishing the MCR and include representation from state government, Opioid Treatment Programs (OTPs), and HCS university partners. Secondary data were obtained from Kentucky's (KY's) MCR and Medicaid claims from July 2020 through June 2021. The functionality of data obtained from the MCR, as measured by data completeness and timeliness, is compared with Medicaid claims, the current standard. MAIN OUTCOMES: Central registry and Medicaid data were each aggregated statewide and at the HCS-KY county level. Dual levels of analysis were selected to inform stakeholders at the study and state levels. Descriptive statistics were calculated for the number of patients in methadone treatment. RESULTS: Statewide, the MCR provided a daily record of all individuals receiving methadone through an OTP within 72 hours. In contrast, Medicaid claims processing lagged 9 months and captured 57-62 percent of patients in the MCR. CONCLUSIONS: Replacing a fax-based system, an MCR meets the converging need of providers, regulatory authorities, and researchers to monitor utilization, patient dual enrollment, and treatment outcomes. Implementation strategies included key stakeholder engagement, state partner leadership, training, and federal funding. Adoption of an MCR is recommended.

Urine drug testing among Medicaid enrollees initiating buprenorphine treatment for opioid use disorder within 9 MODRN states.

BACKGROUND: Treatment 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. METHODS: We 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. RESULTS: The 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. CONCLUSIONS: Rates 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.

Trends in Use of Medication to Treat Opioid Use Disorder During the COVID-19 Pandemic in 10 State Medicaid Programs.

Importance: Federal and state agencies granted temporary regulatory waivers to prevent disruptions in access to medication for opioid use disorder (MOUD) during the COVID-19 pandemic, including expanding access to telehealth for MOUD. Little is known about changes in MOUD receipt and initiation among Medicaid enrollees during the pandemic. Objectives: To examine changes in receipt of any MOUD, initiation of MOUD (in-person vs telehealth), and the proportion of days covered (PDC) with MOUD after initiation from before to after declaration of the COVID-19 public health emergency (PHE). Design, Setting, and Participants: This serial cross-sectional study included Medicaid enrollees aged 18 to 64 years in 10 states from May 2019 through December 2020. Analyses were conducted from January through March 2022. Exposures: Ten months before the COVID-19 PHE (May 2019 through February 2020) vs 10 months after the PHE was declared (March through December 2020). Main Outcomes and Measures: Primary outcomes included receipt of any MOUD and outpatient initiation of MOUD via prescriptions and office- or facility-based administrations. Secondary outcomes included in-person vs telehealth MOUD initiation and PDC with MOUD after initiation. Results: Among a total of 8 167 497 Medicaid enrollees before the PHE and 8 181 144 after the PHE, 58.6% were female in both periods and most enrollees were aged 21 to 34 years (40.1% before the PHE; 40.7% after the PHE). Monthly rates of MOUD initiation, representing 7% to 10% of all MOUD receipt, decreased immediately after the PHE primarily due to reductions in in-person initiations (from 231.3 per 100 000 enrollees in March 2020 to 171.8 per 100 000 enrollees in April 2020) that were partially offset by increases in telehealth initiations (from 5.6 per 100 000 enrollees in March 2020 to 21.1 per 100 000 enrollees in April 2020). Mean monthly PDC with MOUD in the 90 days after initiation decreased after the PHE (from 64.5% in March 2020 to 59.5% in September 2020). In adjusted analyses, there was no immediate change (odds ratio [OR], 1.01; 95% CI, 1.00-1.01) or change in the trend (OR, 1.00; 95% CI, 1.00-1.01) in the likelihood of receipt of any MOUD after the PHE compared with before the PHE. There was an immediate decrease in the likelihood of outpatient MOUD initiation (OR, 0.90; 95% CI, 0.85-0.96) and no change in the trend in the likelihood of outpatient MOUD initiation (OR, 0.99; 95% CI, 0.98-1.00) after the PHE compared with before the PHE. Conclusions and Relevance: In this cross-sectional study of Medicaid enrollees, the likelihood of receipt of any MOUD was stable from May 2019 through December 2020 despite concerns about potential COVID-19 pandemic-related disruptions in care. However, immediately after the PHE was declared, there was a reduction in overall MOUD initiations, including a reduction in in-person MOUD initiations that was only partially offset by increased use of telehealth.

State alignment with federal regulations in 2022 to relax buprenorphine 30-patient waiver requirements.

Background: In 2021, the Department of Health and Human Services released guidelines allowing waiver-eligible providers seeking to treat up to 30 patients to be exempt from waiver training (WT) and the counseling and other ancillary services (CAS) attestation. This study evaluates if states and the District of Columbia had more restrictive policies preventing adoption of the 2021 federal guidelines. Methods: First, the Westlaw database was searched for buprenorphine regulations. Second, state medical, osteopathic, physician assistant, nursing boards, and single state agencies (SSA) were surveyed to assess for the WT and CAS requirements and if they were discussing the 2021 guidelines. Results were recorded and compared by state and waiver-eligible provider types. Results: The Westlaw search revealed seven states with regulations requiring the WT and ten states requiring CAS. Survey results showed ten state boards/SSAs required WT for at least one waiver-eligible practitioner type and eleven state boards/SSAs required CAS. In some states, the WT and CAS requirements only applied in special circumstances. Eleven states had discrepancies between the Westlaw and survey results among three waiver-eligible provider types. Conclusions: Despite the 2021 federal change intended to increase access to buprenorphine, several states had regulations and/or provider boards and SSAs that were not supportive. Now, the Mainstreaming Addiction Treatment (MAT) Act of 2022 eliminated the federal x-waiver requirement to prescribe buprenorphine. However, these states may continue to have barriers to treatment access despite the MAT Act. Strategies to engage states with these restrictive policies are needed to improve buprenorphine treatment capacity.

Duration of medication for opioid use disorder during pregnancy and postpartum by race/ethnicity: Results from 6 state Medicaid programs.

BACKGROUND: Medication for opioid use disorder (MOUD) is evidence-based treatment during pregnancy and postpartum. Prior studies show racial/ethnic differences in receipt of MOUD during pregnancy. Fewer studies have examined racial/ethnic differences in MOUD receipt and duration during the first year postpartum and in the type of MOUD received during pregnancy and postpartum. METHODS: We used Medicaid administrative data from 6 states to compare the percentage of women with any MOUD and the average proportion of days covered (PDC) with MOUD, overall and by type of MOUD, during pregnancy and four postpartum periods (1-90 days, 91-180 days, 181-270 days, and 271-360 days postpartum) among White non-Hispanic, Black non-Hispanic, and Hispanic women diagnosed with OUD. RESULTS: White non-Hispanic women were more likely to receive any MOUD during pregnancy and all postpartum periods compared to Hispanic and Black non-Hispanic women. For all MOUD types combined and for buprenorphine, White non-Hispanic women had the highest average PDC during pregnancy and each postpartum period, followed by Hispanic women and Black non-Hispanic women (e.g., for all MOUD types, 0.49 vs. 0.41 vs. 0.23 PDC, respectively, during days 1-90 postpartum). For methadone, White non-Hispanic and Hispanic women had similar average PDC during pregnancy and postpartum, and Black non-Hispanic women had substantially lower PDC. CONCLUSIONS: There are stark racial/ethnic differences in MOUD during pregnancy and the first year postpartum. Reducing these inequities is critical to improving health outcomes among pregnant and postpartum women with OUD.

A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.

Opioid use disorder (OUD) is a leading cause of death in the United States placing a tremendous burden on patients, their families, and health care systems. Artificial intelligence (AI) can be harnessed with available healthcare data to produce automated OUD prediction tools. In this retrospective study, we developed AI based models for OUD prediction and showed that AI can predict OUD more effectively than existing clinical tools including the unweighted opioid risk tool (ORT). Data include 474,208 patients' data over 10 years; 269,748 were females with an average age of 56.78 years. Cases are prescription opioid users with at least one diagnosis of OUD or at least one prescription for buprenorphine or methadone. Controls are prescription opioid users with no OUD diagnoses or buprenorphine or methadone prescriptions. On 100 randomly selected test sets including 47,396 patients, our proposed transformer-based AI model can predict OUD more efficiently (AUC = 0.742 ± 0.021) compared to logistic regression (AUC = 0.651 ± 0.025), random forest (AUC = 0.679 ± 0.026), xgboost (AUC = 0.690 ± 0.027), long short-term memory model (AUC = 0.706 ± 0.026), transformer (AUC = 0.725 ± 0.024), and unweighted ORT model (AUC = 0.559 ± 0.025). Our results show that embedding AI algorithms into clinical care may assist clinicians in risk stratification and management of patients receiving opioid therapy.

Prenatal syphilis screening among pregnant Medicaid enrollees by sexually transmitted infection history as well as race and ethnicity.

BACKGROUND: Congenital syphilis can cause severe morbidity, including miscarriage and stillbirth, and rates are increasing rapidly within the United States. However, congenital syphilis can be prevented with early detection and treatment of syphilis during pregnancy. Current screening recommendations propose that all women should be screened early in pregnancy, whereas women with elevated risks for congenital syphilis should be screened again later in pregnancy. The rapid increase in congenital syphilis rates suggests that there are still gaps in prenatal syphilis screening. OBJECTIVE: This study aimed to examine associations between the odds of prenatal syphilis screening and sexually transmitted infection history or other patient characteristics across 3 states with elevated rates of congenital syphilis. STUDY DESIGN: We used the Medicaid claims data from Kentucky, Louisiana, and South Carolina for women with deliveries between 2017 and 2021. Within each state, we examined the log-odds of prenatal syphilis screening as a function of the mother's health history, demographic factors, and Medicaid enrollment history. Patient history was established using a 4-year lookback period of the Medicaid claims data; in state A, sexually transmitted infection surveillance data were used to improve the sexually transmitted infection history. RESULTS: The prenatal syphilis screening rates varied by state, ranging from 62.8% to 85.1% of deliveries to women without a recent history of sexually transmitted infections and from 78.1% to 91.1% of deliveries to women with a previous sexually transmitted infection. For the main outcome of syphilis screening at any time during pregnancy, deliveries associated with previous sexually transmitted infections had 1.09 to 1.37 times higher adjusted odds ratios of undergoing screening. Deliveries to women with continuous Medicaid coverage throughout the first trimester also had higher odds of syphilis screening at any time (adjusted odds ratio, 2.45-3.15). Among deliveries to women with a previous sexually transmitted infection, only 53.6% to 63.6% underwent first-trimester screening and this rate was still just 55.0% to 69.5% when considering only deliveries to women with a previous sexually transmitted infection and full first-trimester Medicaid coverage. Fewer delivering women underwent third-trimester screening (20.3%-55.8% of women with previous sexually transmitted infection). Compared with deliveries to White women, deliveries to Black women had lower odds of first-trimester screening (adjusted odds ratio, 0.85 in all states) but higher odds of third-trimester screening (adjusted odds ratio, 1.23-2.03), potentially impacting maternal and birth outcomes. For state A, linkage to surveillance data doubled the rate of detection of a previous sexually transmitted infection because 53.0% of deliveries by women with a previous sexually transmitted infection would not have had sexually transmitted infection history detected using Medicaid claims alone. CONCLUSION: A previous sexually transmitted infection and continuous preconception Medicaid enrollment were associated with higher rates of syphilis screening, but Medicaid claims alone do not fully capture the sexually transmitted infection history of patients. The overall screening rates were lower than would be expected given that all women should undergo prenatal screening, but the rates in the third trimester were particularly low. Of note, there are gaps in early screening for non-Hispanic Black women who had lower odds of first-trimester screening when compared with non-Hispanic White women despite being at elevated risk for syphilis.

The policy landscape for naloxone distribution in four states highly impacted by fatal opioid overdoses.

Background: Expanding access to naloxone is one of the most impactful interventions in decreasing opioid-related mortality. However, state distribution rates of naloxone are insufficient to meet community need. The current study sought to better understand this gap by focusing on state policies that may facilitate or impede naloxone distribution in four states highly impacted by fatal opioid overdoses - Kentucky, Massachusetts, New York, and Ohio. Methods: We provide a descriptive analysis of the policy landscape impacting naloxone distribution through pharmacy and community channels in the four states participating in the HEALing Communities Study (HCS). Publicly available data and the expertise of the research team were used to describe each state's naloxone access laws (NALs), Medicaid coverage of naloxone, and community overdose education and naloxone distribution infrastructure. Data presented in this study represent the most current policy landscape through September 2022. Results: Variation exists between specific components of the NALs of each state, the structure of Medicaid coverage of naloxone, and the community distribution infrastructure networks. Massachusetts and New York have a statewide standing order, but other states use different strategies short of a statewide standing order to expand access to naloxone. Quantity limits specific to naloxone may limit access to Medicaid beneficiaries in some states. Conclusion: States participating in the HCS have developed innovative but different mechanisms to ensure naloxone access. Policies were dynamic and moved towards greater access. Research should consider the policy landscape in the implementation and sustainability of interventions as well as the analysis of outcomes.

The prevalence of opioid use disorder in Kentucky's counties: A two-year multi-sample capture-recapture analysis.

BACKGROUND: Kentucky has one of the highest opioid overdose mortality rates in the United States. Accurate estimates of people with opioid use disorder (OUD) are critical to plan for the scope of interventions required to reduce overdose and opioid misuse. Commonly used household surveys are known to underestimate OUD at the state-level and do not provide county-level estimates. METHODS: We performed a multi-sample capture-recapture analysis to estimate OUD prevalence in Kentucky in 2018 and 2019. We utilized four statewide datasets that were linked at the individual level: 1) Registry of Vital Statistics, 2) Emergency Medical Services (EMS), 3) Kentucky's Prescription Drug Monitoring Program (PDMP), and 4) Kentucky Medicaid. We included persons aged 18-64 years who resided in Kentucky between 2018 and 2019. We identified individuals with administrative data consistent with OUD in each of the datasets, including a fatal opioid-involved overdose (Vital Statistics), EMS runs for suspected opioid overdose, receipt of buprenorphine for OUD treatment (PDMP), or Medicaid claims for OUD. Observed and estimated counts of OUD cases and prevalence of OUD among the adult population in Kentucky. RESULTS: The estimated statewide OUD prevalence was 5.5 % and 5.9 % for 2018 and 2019, respectively, ranging from 1.3 % to 17.7 % across Kentucky counties. As expected, counties with the highest OUD rates were Appalachian counties (eastern area) of the state. CONCLUSIONS: Our analysis reveals a substantially larger proportion of KY residents have OUD than previously estimated. Our approach offers a model for states needing county-level estimates of OUD.

The Impact of Naloxone Coprescribing Mandates on Opioid-Involved Overdose Deaths.

INTRODUCTION: Since 2017, a total of 10 states have mandated naloxone coprescribing intended to prevent fatal opioid overdoses. This study aims to assess the association between naloxone coprescribing/offering mandates and opioid-involved overdose deaths on the basis of the opioid type. METHODS: Data on overdose deaths from 1999 to 2020 came from the National Center for Health Statistics CDC WONDER Online Database. This study examined deaths stratified by illicit/synthetic opioids and prescription/treatment opioids. Difference-in-difference negative binomial regression models estimated average marginal effects and 95% CIs. Covariates included opioid dispensing rate, Good Samaritan law, pharmacy-based naloxone access law, mandatory use of prescription drug monitoring program, and recreational cannabis dispensaries. Data collection and analysis were conducted in 2022. RESULTS: Ten states implemented naloxone coprescribing/offering mandates during the period. Coprescribing/offering mandates significantly reduced the number of prescription/treatment overdose deaths by 8.61 per state per quarter (95% CI= -15.13, -2.09), a 16% reduction from the counterfactual estimates. Coprescribing/offering mandates did not significantly impact illicit/synthetic overdose deaths (average marginal effect=0.32; 95% CI= -18.27, 18.91). CONCLUSIONS: Coprescribing/offering mandates prevent overdose deaths for its target population, individuals using prescription/treatment opioids. These mandates do not appear to impact populations using illicit/synthetic opioids; thus, expanded efforts are needed to reach these individuals.

Medicaid expansion and access to naloxone in metropolitan and nonmetropolitan areas.

PURPOSE: The opioid crisis remains a major public health concern in the United States. Naloxone is used to reverse opioid overdoses. This study examined Medicaid expansion on naloxone prescriptions in retail pharmacies in metropolitan (metro) and nonmetropolitan (nonmetro) areas (2011-2017). METHODS: We used population average models to evaluate the association of Medicaid expansion at the state level on the number of naloxone prescriptions dispensed and the percentage paid by Medicaid, including adjustment for opioid-related and state-level policy covariates. Difference-in-difference modeling was performed as a sensitivity analysis. FINDINGS: States that expanded Medicaid had higher unadjusted naloxone dispensing rates and Medicaid-paid percentage of naloxone in metro and nonmetro areas. Medicaid expansion was not associated with the number of naloxone dispensed in either metro (adjusted rate ratio (ARR) = 1.26, 95% CI: [0.80, 1.97]) or nonmetro (ARR = 0.67, 95% CI: [0.37, 1.19]) areas after covariate adjustment. In metro areas, Medicaid expansion was associated with a significant increase of 3.86 percentage points (95% CI: [0.09, 7.63]) in the Medicaid-paid percentage of naloxone dispensing compared to nonexpansion states, but this association was not significant in nonmetro areas. There was also a significant time by Medicaid expansion interaction on the Medicaid-paid percentage of naloxone dispensed (metro: estimate = 0.74, 95% CI: [0.36, 1.12]; nonmetro: estimate = 0.68, 95% CI: [0.17, 1.18]). CONCLUSIONS: Medicaid expansion increased naloxone access by increasing the Medicaid-paid percentage of naloxone prescriptions in metro areas. States with Medicaid expansion had a faster rate of increase in the Medicaid-paid percentage of naloxone than states without Medicaid expansion in nonmetro areas.

Enhancing research data infrastructure to address the opioid epidemic: the Opioid Overdose Network (O2-Net).

Opioid Overdose Network is an effort to generalize and adapt an existing research data network, the Accrual to Clinical Trials (ACT) Network, to support design of trials for survivors of opioid overdoses presenting to emergency departments (ED). Four institutions (Medical University of South Carolina [MUSC], Dartmouth Medical School [DMS], University of Kentucky [UK], and University of California San Diego [UCSD]) worked to adapt the ACT network. The approach that was taken to enhance the ACT network focused on 4 activities: cloning and extending the ACT infrastructure, developing an e-phenotype and corresponding registry, developing portable natural language processing tools to enhance data capture, and developing automated documentation templates to enhance extended data capture. Overall, initial results suggest that tailoring of existing multipurpose federated research networks to specific tasks is feasible; however, substantial efforts are required for coordination of the subnetwork and development of new tools for extension of available data. The initial output of the project was a new approach to decision support for the prescription of naloxone for home use in the ED, which is under further study within the network.