Buprenorphine Prescribing Characteristics Following Relaxation of X-Waiver Training Requirements.

Importance: Local-level data are needed to understand whether the relaxation of X-waiver training requirements for prescribing buprenorphine in April 2021 translated to increased buprenorphine treatment. Objective: To assess whether relaxation of X-waiver training requirements was associated with changes in the number of clinicians waivered to and who prescribe buprenorphine for opioid use disorder and the number of patients receiving treatment. Design, Setting, and Participants: This serial cross-sectional study uses an interrupted time series analysis of 2020-2022 data from the HEALing Communities Study (HCS), a cluster-randomized, wait-list-controlled trial. Urban and rural communities in 4 states (Kentucky, Massachusetts, New York, and Ohio) with a high burden of opioid overdoses that had not yet received the HCS intervention were included. Exposure: Relaxation of X-waiver training requirements (ie, allowing training-exempt X-waivers) on April 28, 2021. Main Outcomes and Measures: The monthly number of X-waivered clinicians, X-waivered buprenorphine prescribers, and patients receiving buprenorphine were each summed across communities within a state. Segmented linear regression models to estimate pre- and post-policy change by state were used. Results: The number of individuals in 33 participating HCS communities included 347 863 in Massachusetts, 815 794 in Kentucky, 971 490 in New York, and 1 623 958 in Ohio. The distribution of age (18-35 years: range, 29.4%-32.4%; 35-54 years: range, 29.9%-32.5%; ≥55 years: range, 35.7%-39.3%) and sex (female: range, 51.1%-52.6%) was similar across communities. There was a temporal increase in the number of X-waivered clinicians in the pre-policy change period in all states, which further increased in the post-policy change period in each state except Ohio, ranging from 5.2% (95% CI, 3.1%-7.3%) in Massachusetts communities to 8.4% (95% CI, 6.5%-10.3%) in Kentucky communities. Only communities in Kentucky showed an increase in the number of X-waivered clinicians prescribing buprenorphine associated with the policy change (relative increase, 3.2%; 95% CI, 1.5%-4.9%), while communities in other states showed no change or a decrease. Similarly, only communities in Massachusetts experienced an increase in patients receiving buprenorphine associated with the policy change (relative increase, 1.7%; 95% CI, 0.8%-2.6%), while communities in other states showed no change. Conclusions and Relevance: In this serial cross-sectional study, relaxation of X-waiver training requirements was associated with an increase in the number of X-waivered clinicians but was not consistently associated with an increase in the number of buprenorphine prescribers or patients receiving buprenorphine. These findings suggest that training requirements may not be the primary barrier to expanding buprenorphine treatment.

Abuse-deterrent formulations and opioid-related harms in North Carolina, 2010-2018.

Abuse-deterrent formulations of opioid analgesics (ADFs) were introduced to reduce opioid-related harms among pain patients, but post-marketing study results have been mixed. However, these studies may be subject to bias from selection criteria, comparator choice, and potential confounding by "indication," highlighting the need for thorough study design considerations. In a sample of privately insured patients prescribed ADF or non-ADF extended-release/long-acting (ER/LA) opioids in North Carolina, we implemented a version of the prevalent new-user design to evaluate the relationship between ADFs and opioid use disorder (OUD, n=235) and opioid overdose (n=18) through six months of follow-up using inverse probability-weighted cumulative incidence functions and Fine-Gray models. The weighted hazard [HRw] of opioid overdose among patients initiating ADFs was 0.87 (95% CI: 0.23, 3.24) times as high as among patients who initiated, restarted, or continued non-ADF ER/LA opioids. We observed a short-term benefit of ADFs for incident OUD (HRw=0.58; 95% CI: 0.35, 0.93) compared to non-ADF ER/LA opioids in the first six weeks of follow-up, but this benefit disappeared later in follow-up (HRw=1.30; 0.86, 1.95). In summary, our findings add to the expanding body of evidence that there is no clear long-term reduction in harm from ADF opioids among patients in outpatient use.

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.

Matching study design to prescribing intention: The prevalent new-user design for studying abuse-deterrent formulations of opioids.

PURPOSE: In drug studies, research designs requiring no prior exposure to certain drug classes may restrict important populations. Since abuse-deterrent formulations (ADF) of opioids are routinely prescribed after other opioids, choice of study design, identification of appropriate comparators, and addressing confounding by "indication" are important considerations in ADF post-marketing studies. METHODS: In a retrospective cohort study using claims data (2006-2018) from a North Carolina private insurer [NC claims] and Merative MarketScan [MarketScan], we identified patients (18-64 years old) initiating ADF or non-ADF extended-release/long-acting (ER/LA) opioids. We compared patient characteristics and described opioid treatment history between treatment groups, classifying patients as traditional (no opioid claims during prior six-month washout period) or prevalent new users. RESULTS: We identified 8415 (NC claims) and 147 978 (MarketScan) ADF, and 10 114 (NC claims) and 232 028 (MarketScan) non-ADF ER/LA opioid initiators. Most had prior opioid exposure (ranging 64%-74%), and key clinical differences included higher prevalence of recent acute or chronic pain and surgery among patients initiating ADFs compared to non-ADF ER/LA initiators. Concurrent immediate-release opioid prescriptions at initiation were more common in prevalent new users than traditional new users. CONCLUSIONS: Careful consideration of the study design, comparator choice, and confounding by "indication" is crucial when examining ADF opioid use-related outcomes.

Higher First 30-Day Dose of Buprenorphine for Opioid Use Disorder Treatment Is Associated With Decreased Mortality.

OBJECTIVE: Buprenorphine is a medication for opioid use disorder that reduces mortality. This study aims to investigate the less well-understood relationship between the dose in the early stages of treatment and the subsequent risk of death. METHODS: We used Kentucky prescription monitoring data to identify adult Kentucky residents initiating transmucosal buprenorphine medication for opioid use disorder (January 2017 to November 2019). Average daily buprenorphine dose for days covered in the first 30 days of treatment was categorized as ≤8 mg, >8 to ≤16 mg, and >16 mg. Patients were followed for 365 days after the first 30 days of buprenorphine treatment. Endpoints were opioid-involved overdose death and death from other causes. Causes and dates of death were obtained using Kentucky death certificate records. Associations were evaluated using multivariable Fine and Gray models adjusting for patient baseline characteristics. RESULTS: In the cohort of 49,857 patients, there were 227 opioid-involved overdose deaths and 459 deaths from other causes. Compared with ≤8 mg, the adjusted subdistribution hazard ratio (aSHR) of opioid-involved overdose death decreased by 55% (aSHR, 0.45; 95% confidence interval [CI], 0.34-0.60) and 64% (aSHR, 0.36; 95% CI, 0.25-0.52) for patients receiving doses of >8 to ≤16 mg and >16 mg, respectively. The incidence of death from other causes was lower in patients receiving >8 to ≤16 mg (aSHR, 0.78; 95% CI, 0.62-0.98) and >16 mg (aSHR, 0.62; 95% CI, 0.47-0.80) versus ≤8 mg dose. CONCLUSIONS: Higher first 30-day buprenorphine doses were associated with reduced opioid-involved overdose death and death from other causes, supporting benefit of higher dosing in reducing mortality.

Predictors of postoperative opioid use in ventral and incisional hernia repair.

BACKGROUND: One in two ventral and incisional hernia repair (VIHR) patients have preoperative opioid prescription within a year before procedure. The study's aim was to investigate risk factors of increased postoperative prescription filling in patients with or without preoperative opioid prescription. METHODS: VIHR cases from 2013 to 2017 were reviewed. State prescription drug monitoring program data were linked to patient records. The primary endpoint was cumulative opioid dose dispensed through post-discharge day 45. Morphine milligram equivalent (MME) was used for uniform comparison. RESULTS: 205 patients were included in the study (average age 53.5 years; 50.7% female). Over 35% met criteria for preoperative opioid use. Preoperative opioid tolerance, superficial wound infection, current smoking status, and any dispensed opioids within 45 days of admission were independent predictors for increased postoperative opioid utilization (p < 0.001). CONCLUSION: Preoperative opioid use during 45-day pre-admission correlated strongly with postoperative prescription filling in VIHR patients, and several independent risk factors were identified.

Undiagnosed Cancer Cases in the US During the First 10 Months of the COVID-19 Pandemic.

Importance: The COVID-19 pandemic disrupted the normal course of cancer screening and detection in the US. A nationwide analysis of the extent of this disruption using cancer registry data has not been conducted. Objective: To assess the observed and expected cancer rate trends for March through December 2020 using data from all 50 US states and the District of Columbia. Design, Settings, and Participants: This was a population-based cross-sectional analysis of cancer incidence trends using data on cases of invasive cancer diagnosis reported to the US Cancer Statistics from January 1, 2018, through December 31, 2020. Data analyses were performed from July 6 to 28, 2023. Exposure(s): Age, sex, race, urbanicity, and state-level response to the COVID-19 pandemic at the time of cancer diagnosis. Main Outcomes and Measures: Used time-series forecasting methods to calculate expected cancer incidence rates for March 1 through December 31, 2020, from prepandemic trends (January 2018-February 2020). Measured relative difference between observed and expected cancer incidence rates and numbers of potentially missed cancer cases. Results: This study included 1 297 874 cancer cases reported in the US from March 1 through December 31, 2020, with an age-adjusted incidence rate of 326.5 cases per 100 000 population. Of the observed cases, 657 743 (50.7%) occurred in male patients, 757 106 (58.3%) in persons 65 years or older, and 1 066 566 (82.2%) in White individuals. Observed rates of all-sites cancer incidence in the US were 28.6% (95% prediction interval [PI], 25.4%-31.7%) lower than expected during the height of the COVID-19 pandemic response (March-May 2020); 6.3% (95% PI, 3.8%-8.8%) lower in June to December 2020; and overall, 13.0% (95% PI, 11.2%-14.9%) lower during the first 10 months of the pandemic. These differences indicate that there were potentially 134 395 (95% PI, 112 544-156 680) undiagnosed cancers during that time frame. Prostate cancer accounted for the largest number of potentially missed cases (22 950), followed by female breast (16 870) and lung (16 333) cancers. Screenable cancers saw a total rate reduction of 13.9% (95% PI, 12.2%-15.6%) compared with the expected rate. The rate of female breast cancer showed evidence of recovery to previous trends after the first 3 months of the pandemic, but levels remained low for colorectal, cervical, and lung cancers. From March to May 2020, states with more restrictive COVID-19 responses had significantly greater disruptions, yet by December 2020, these differences were nonsignificant for all sites except lung, kidney, and pancreatic cancer. Conclusions and Relevance: This cross-sectional analysis of cancer incidence trends found a substantial disruption to cancer diagnoses in the US during the first 10 months of the COVID-19 pandemic. The overall and differential findings can be used to inform where the US health care system should be looking to make up ground in cancer screening and detection.

Drug disposal deserts: An assessment of receptacle availability in Kentucky community pharmacies.

PURPOSE: The purpose of this study was to describe the county-level availability of drug disposal receptacles in Kentucky community pharmacies and show the relationship between installed receptacles and opioid analgesic (OA)/controlled substance dispensing rates, stratifying where possible by urban-rural classification. METHODS: Using 2020 data from the Kentucky All Schedule Prescription Electronic Reporting program and disposal receptacle data from the US Drug Enforcement Agency, county-level comparisons were made between number of receptacles and OA/controlled substance dispensing rates. Logistic and negative binomial regression models were used to assess for differences between rural/urban county designation and odds of ≥1 disposal receptacle and compare the rates of receptacles per dispensed OA dose in rural/urban counties. FINDINGS: While rural counties saw higher OA and controlled substance dispensing rates, the majority (55.6%) of disposal receptacles were in urban locations. The odds of having at least 1 receptacle were higher in urban counties (OR 2.60, 95% CI: 1.15, 5.92) compared to rural. The estimated rate of disposal receptacles per million dispensed OA doses was found to be 0.47 (95% CI: 0.36, 0.61) in urban counties compared to 0.32 (95% CI: 0.25, 0.42) in rural counties, with an estimated rate ratio of 1.45 (95% CI: 1.01, 2.10). CONCLUSIONS: A mismatch between the availability of county-level disposal receptacles in community pharmacies and the volume of dispensed OAs/controlled substances exists, resulting in fewer receptacles per dispensed OA in rural counties compared to urban counties. Future efforts are necessary to increase access to convenient disposal receptacles located in community pharmacies, particularly in rural communities.

Examination of naloxone dosing patterns for opioid overdose by emergency medical services in Kentucky during increased fentanyl use from 2018 to 2021.

BACKGROUND: Fatal overdoses involving fentanyl/fentanyl analogs (F/FA) have increased in the US, raising questions about naloxone doses for F/FA overdose reversal. Emergency medical services (EMS) data provide an opportunity to examine naloxone administration changes as fentanyl increases in the illicit opioid supply. METHODS: Administered naloxone intranasal-equivalent total dose (INTD) in milligrams (mg) was calculated for Kentucky EMS suspected opioid overdose (SOO) encounters (n=33,846), 2018-2021, and patterns of administration were examined. County-level F/FA availability was measured as 1) proportion of fatal drug overdoses involving F/FA, and 2) F/FA police seizures. Linear mixed models estimated changes in INTD in relation to local F/FA availability accounting for patient characteristics. RESULTS: From 2018-2021, SOOs increased by 44% (6853 to 9888) with an average INTD increase from 4.5mg to 4.7mg, with more than 99% of encounters resulting in successful reversal each year. For SOO encounters examined by outcome at the scene (i.e., non-fatal fatal vs fatal), average INTD for non-fatal were 4.6mg compared to 5.9mg for fatal overdoses. Mixed modeling found no significant relationship between INTD and the two measures for local F/FA availability. CONCLUSION: As F/FA-involved overdose risk increased, we observed a modest increase in INTD administered in SOO EMS encounters - just slightly higher than the 4mg standard dose. The lack of significant relationship between F/FA and naloxone dose suggests that naloxone utilization in SOO with EMS involvement remains effective for overdose reversal, and that EMS naloxone dosing patterns have not changed substantially.

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.

Drugs involved in Kentucky drug poisoning deaths and relation with antecedent controlled substance prescription dispensing.

BACKGROUND: The shift from prescription to illicit drugs involved in drug poisoning deaths raises questions about the current utility of prescription drug monitoring program (PDMP) data to inform drug poisoning (overdose) prevention efforts. In this study, we describe relations between specific drugs involved in Kentucky drug poisoning deaths and antecedent controlled substance (CS) dispensing. METHODS: The study used linked death certificates and PDMP data for 2,248 Kentucky resident drug poisoning deaths in 2021. Death certificate literal text analysis identified drugs mentioned with involvement (DMI) in drug poisoning deaths. We characterized the concordance between each DMI and the CS dispensing history for this drug at varying timepoints since 2008. RESULTS: Overall, 25.5% of all decedents had dispensed CS in the month before fatal drug poisoning. Over 80% of decedents were dispensed opioid(s) since 2008; the percentage was similar regardless of opioid involvement in the poisoning death. One-third of decedents had dispensed buprenorphine for treatment of opioid use disorder since 2008, but only 6.1% had dispensed buprenorphine in the month preceding death. Fentanyl/fentanyl analogs were DMI in 1,568 (69.8%) deaths, yet only 3% had received a fentanyl prescription since 2008. The highest concordance in the month preceding death was observed for clonazepam (43.6%). CONCLUSION: Overall, concordance between CS dispensing history and the drugs involved in poisoning deaths was low, suggesting a need to reevaluate the complex relationships between prescription medication exposure and overdose death and to expand harm reduction interventions both within and outside the healthcare system to reduce drug poisoning mortality.

Cannabinoid Poisoning-Related Emergency Department Visits and Inpatient Hospitalizations in Kentucky, 2017 to 2019.

Background and objectives: Cannabis is the most used federally illicit substance. Due to widespread medicinal use and state-level legalization, public perceptions of cannabis have shifted toward the assumption that cannabis is safe. However, cannabinoids can cause adverse medical complications that may lead people to seek treatment. This study characterized cannabinoid poisoning-related medical encounters, poisoning involving cannabinoids and other psychoactive substances, and cannabinoid poisoning-related cardiac complications. Methods: Administrative billing data for emergency department visits and inpatient hospitalizations in acute care facilities with a discharge date from January 1, 2017 to December 31, 2019 were used to characterize cannabinoid poisoning events in Kentucky, identified by ICD-10-CM diagnosis code T40.7X. Results: There were 1,490 encounters of cannabinoid poisoning; patients were primarily non-Hispanic White males, ages 15-44, who had Medicaid and lived in a metropolitan area. Of those, 31.21% involved poisoning with a second psychoactive substance, primarily stimulants and/or opioids, and 17.72% experienced a cardiac complication. Cannabinoid-polydrug poisoning was associated with inpatient treatment (χ2=199.18, p < 0.001) and cardiac complications (χ2=4.58, p < 0.001). Discussion and Conclusions: These results are consistent with other state-level data. Patients who were diagnosed with cannabis-polydrug poisoning, compared to cannabis alone poisoning, had greater odds of hospital admission and cardiac complications, and longer length of hospital stays. Scientific Significance: The health risks of cannabinoid use must be more broadly recognized, while timely and accurate data need to be shared to guide policies on cannabis access. Future research on cannabinoid poisoning should consider the involvement of other psychoactive drugs.

Changing Trends in Drug Overdose Mortality in Kentucky: An Examination of Race and Ethnicity, Age, and Contributing Drugs, 2016-2020.

OBJECTIVES: Increased drug overdose mortality among non-Hispanic Black people in the United States in the past 5 years highlights the need for better tailored programs and services. We evaluated (1) changes in drug overdose mortality for various racial and ethnic groups and (2) drug involvement to inform drug overdose prevention efforts in Kentucky. METHODS: We used Kentucky death certificates and postmortem toxicology reports from 2016-2020 (provisional data) to estimate changes in age-adjusted drug overdose death rates per 100 000 standard population. RESULTS: The age-adjusted drug overdose death rate per 100 000 standard population among non-Hispanic Black residents doubled from 2016 (21.2) to 2020 (46.0), reaching the rate among non-Hispanic White residents in 2020 (48.7; P = .48). From 2016 to 2020, about 80% of these drug overdose deaths involved opioids; heroin involvement declined about 20 percentage points; fentanyl involvement increased about 30 percentage points. The number of psychostimulant-involved drug overdose deaths increased 513% among non-Hispanic Black residents and 191% among non-Hispanic White residents. Cocaine-involved drug overdose deaths increased among non-Hispanic Black residents but declined among non-Hispanic White residents. Drug overdose death rates were significantly lower among Hispanic residents than among non-Hispanic White residents. CONCLUSIONS: Increased opioid-involved overdose deaths among non-Hispanic Black residents in Kentucky in combination with rapidly expanding concomitant psychostimulant involvement require increased understanding of the social, cultural, and illicit market circumstances driving these rapid trend changes. Our findings underscore the urgent need to expand treatment and harm reduction services to non-Hispanic Black residents with substance use disorder.

Changes in transmucosal buprenorphine utilization for opioid use disorder treatment during the COVID-19 pandemic in Kentucky.

PURPOSE: With surging opioid-involved overdoses, maintaining access to opioid use disorder (OUD) treatment is critical during the COVID-19 pandemic. We examined changes in transmucosal buprenorphine prescribing for OUD treatment in Kentucky after the national COVID-19 emergency declaration, with a focus on rural-urban differences. METHODS: Using 2019-2020 prescription monitoring data, we performed segmented regression analysis for an interrupted time series design to evaluate changes in weekly rates (per 100,000 residents) of dispensed prescriptions, unique individuals with dispensed prescriptions, and average days' supply for dispensed prescriptions of transmucosal buprenorphine. FINDINGS: The weekly rates of dispensed prescriptions and unique individuals with dispensed prescriptions were higher for rural residents than urban residents. After the national COVID-19 emergency declaration, rural and urban residents experienced similar immediate drops in the rate of dispensed prescriptions (rural -33.4; urban -24.3) and unique patients with dispensed prescriptions (rural -25.0; urban -17.1), followed by similar sustained increases. Both measures surpassed the prepandemic levels in mid-June 2020. Patients residing in urban areas received averagely longer prescriptions at baseline (urban: 11.0 days; rural: 10.5 days). The average weekly days' supply increased in the week after the national emergency declaration, but the estimated increase was higher (P = .004) for urban (0.8 days) versus rural (0.5 days) residents. CONCLUSIONS: Transmucosal buprenorphine utilization increased during the COVID-19 pandemic after experiencing interruption during the initial weeks of the pandemic. Future studies should evaluate the contribution of the relaxed telemedicine buprenorphine prescribing regulations during the COVID-19 national emergency on initiation and maintenance of buprenorphine treatment.

Deep Neural Networks for Fine-Grained Surveillance of Overdose Mortality.

Surveillance of drug overdose deaths relies on death certificates for identification of the substances that caused death. Drugs and drug classes can be identified through the International Classification of Diseases, Tenth Revision (ICD-10), codes present on death certificates. However, ICD-10 codes do not always provide high levels of specificity in drug identification. To achieve more fine-grained identification of substances on death certificate, the free-text cause-of-death section, completed by the medical certifier, must be analyzed. Current methods for analyzing free-text death certificates rely solely on lookup tables for identifying specific substances, which must be frequently updated and maintained. To improve identification of drugs on death certificates, a deep-learning named-entity recognition model was developed, utilizing data from the Kentucky Drug Overdose Fatality Surveillance System (2014-2019), which achieved an F1-score of 99.13%. This model can identify new drug misspellings and novel substances that are not present on current surveillance lookup tables, enhancing the surveillance of drug overdose deaths.

Accuracy and validity of reported opioid prescription days' supply.

PURPOSE: The primary objective of this study was to estimate the percentage of opioid analgesic (OA) prescriptions dispensed by Kentucky independent pharmacies with correctly entered days' supply in the state prescription drug monitoring program (PDMP) system in 2019. METHODS: Using a two-stage cluster design, pharmacies were sampled with probabilities proportional to the volume of dispensed OAs; 100 random OA prescriptions were sampled from PDMP records submitted by each pharmacy. Following recruitment, demographic information and hard-copy prescription data for sampled records were abstracted on-site. Days' supply was independently calculated by two pharmacists using a standard formula with disagreements adjudicated blindly by a third pharmacist. Adjudicated days' supply was compared with that submitted to the PDMP and classified as accurate/inaccurate. Descriptive statistics were used to characterize the sample and a multivariable logistic regression model was used to assess the relationship between accuracy and prescription/practice-related factors. RESULTS: A total of 1281 OA prescriptions were reviewed at 13 participating pharmacies. Accuracy of reported OA days' supply was 89.85%, (95% CI: 86.90, 92.80). Factors associated with accuracy were presence of special instructions from the prescriber (OR 3.13 [95% CI: 1.43, 6.82]), presence of 'as-needed' directions (OR 0.29 [95% CI: 0.18, 0.47]), and billing to a third-party payer (OR 1.43 [95% CI: 1.01, 2.02]). CONCLUSIONS: Accuracy of OA days' supply reported to the state PDMP was found to be moderately high. Certain prescription-related factors influence accuracy and should be accounted for in future studies. Patterns, including opioid 'split-billing' were identified and may impact validity of PDMP and administrative claims studies.

Kentucky pharmacists' experiences in dispensing abuse-deterrent opioid analgesics.

BACKGROUND: Despite pharmaceutical industry promise and enthusiasm, abuse-deterrent formulation (ADF) opioid use is relatively low. While some barriers to use have been addressed through state laws and policy, pharmacists' experiences with and opinions of ADF opioids are unclear. OBJECTIVES: The objective of this study was to evaluate pharmacists' perceptions of dispensing ADFs. METHODS: This was a cross-sectional survey of community pharmacists licensed and practicing in Kentucky conducted in late 2019. The survey asked about perception, experience dispensing, and insurance coverage of 5 ADF opioids available at the time. RESULTS: Most respondents (421/629, 67.9%) were familiar or very familiar with ADFs, and 63.1% agreed that all opioids should meet U.S. Food and Drug Administration standards for abuse deterrence. Aside from OxyContin, most ADF opioid formations were not stocked (range: 46.7%-73.6%). Third-party payer claims were occasionally or almost always rejected for most ADFs (range: 56.3%-75.4%). Contrary to intended mechanism of deterrence, ADFs were rated as the least effective strategy to reduce opioid misuse/abuse, with over half (51.2%) of respondents believing ADFs were not effective or somewhat effective. ADFs were rated as effective or very effective at reducing opioid abuse by swallowing intact by 37.4% of respondents. CONCLUSION: Pharmacists are familiar with ADFs but do not dispense them frequently. Pharmacists appear skeptical about the effectiveness of ADFs but support policies that could increase ADF uptake.

Broadband internet subscription rates and opioid prescribing via telemedicine during the COVID-19 pandemic.

PURPOSE: In response to the COVID-19 pandemic, the US DEA allowed controlled substance prescriptions to be issued following a telemedicine encounter. This study evaluated changes in opioid prescribing in Kentucky counties with low and high rates of broadband subscription before, during, and after a series of statewide emergency declarations that may have affected health care access. METHODS: The study used the prescription drug monitoring program to analyze records of opioid analgesic prescriptions dispensed to opioid-naïve individuals in high (N = 26) and low (N = 94) broadband access counties during 3 periods: before a state of emergency (SOE) and executive order (EO) limiting nonemergent health care services (January 2019-February 2020), while the EO was active (March-April 2020), and after health care services began reopening (May-December 2020). Marginal generalized estimating equations-type negative binomial models were fit to compare prescription counts by broadband access over the 3 periods. FINDINGS: Rates of opioid dispensing to opioid-naïve individuals decreased significantly during the EO, but increased nearly to pre-SOE levels after health care services began reopening. Dispensing rates in low broadband counties were higher than those in high broadband counties during all time periods, although these differences were negligible after adjusting for potential confounders. During the EO, prescriptions were written for longer days' supply in both county types. CONCLUSIONS: The overall dramatic reduction in opioid prescribing rates should be considered when evaluating annual opioid prescribing trends. However, broadband subscription rate did not appear to influence opioid prescriptions dispensed in Kentucky during the EO.

Effect of a Multimodal Analgesic Protocol on Short-Term and Long-Term Opioid Use After Orthopaedic Trauma.

OBJECTIVE: To determine whether the use of a multimodal analgesic protocol reduced short-term and long-term opioid use in patients hospitalized after orthopaedic trauma. DESIGN: Retrospective pre-post intervention study. SETTING: Regional, academic, Level 1 trauma center in Central Kentucky. PATIENTS/PARTICIPANTS: Patients were hospitalized after orthopaedic injury before (n = 393) and after (n = 378) the implementation of a multimodal analgesic protocol. INTERVENTION: The intervention involved a multimodal analgesic protocol consisting of acetaminophen, ibuprofen/ketorolac, gabapentinoids, skeletal muscle relaxants, and standardized doses of opioids plus standardized pain management education before hospital discharge. MAIN OUTCOME MEASUREMENTS: End points included discharge opioid prescription, days' supply and daily morphine milligram equivalent (MME), and long-term opioid use after hospitalization. Opioid use in the 90 days before and after hospitalization was assessed using state prescription drug monitoring program data. RESULTS: Discharge opioid prescription rates were similar in the intervention and control cohorts [79.9% vs. 78.4%, odds ratio (OR) 1.30 (0.83-2.03), P = 0.256]. Patients in the intervention cohort received a shorter days' supply [5.7 ± 4.1 days vs. 8.1 ± 6.2 days, rate ratio 0.70 (0.65-0.76), P < 0.001] and lower average daily MME [34.8 ± 24.9 MME vs. 51.5 ± 44.0 MME, rate ratio 0.68 (0.62-0.75), P < 0.001]. The incidence of long-term opioid use was also significantly lower in the intervention cohort [7.7% vs. 12.0%, OR 0.53 (0.28-0.98), P = 0.044]. CONCLUSIONS: Implementation of a multimodal analgesic protocol was associated with reductions in both short-term and long-term opioid use, including long-term opioid therapy, after orthopaedic trauma. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Abuse-Deterrent Opioids: A Survey of Physician Beliefs, Behaviors, and Psychology.

OBJECTIVE: Evaluate beliefs and behaviors pertaining to abuse-deterrent opioids (ADFs). DESIGN: Survey in 2019 by invitation to all licensed physicians. SETTING: Commonwealth of Kentucky. PARTICIPANTS: 374 physicians. METHODS: Descriptive statistics, and hypothesis test that early adopter prescribers would have greater endorsement of opioid risk management. RESULTS: Of all prescribers, 55% believed all opioid analgesics should have ADF requirements (15% were unsure); 74% supported mandating insurance coverage. Only one-third considered whether an opioid was ADF when prescribing, motivated by patient family diversion (94%) and societal supply reduction (88%). About half believed ADFs were equally effective in preventing abuse by intact swallowing, injection, chewing, snorting, smoking routes. Only 4% of OxyContin prescribers chose it primarily because of ADF properties. Instead, the most common reason (33%) was being started by another prescriber. A quarter of physicians chose not to prescribe ADFs because of heroin switching potential. Early adopters strongly believed ADFs were effective in reducing abuse (PR 3.2; 95% CI 1.5, 6.6) compared to mainstream physicians. Early-adopter risk-management practices more often included tools increasing agency and measurement: urine drug screens (PR 2.0; 1.3, 3.1), risk screening (PR 1.3; 0.94, 1.9). While nearly all respondents (96%) felt that opioid abuse was a problem in the community, only 57% believed it was a problem among patients in their practice. Attribution theory revealed an externalization of opioid abuse problems that deflected blame from patients on to family members. CONCLUSIONS: The primary motivator for prescribing ADFs was preventing diversion by family members, not patient-level abuse concerns.