Wastewater Surveillance for Xylazine in Kentucky.

Introduction: In the U.S., xylazine, the veterinary non-opioid sedative, has emerged as a major threat to people who use illicitly manufactured fentanyl and other drugs. The aim of this study was to compare wastewater detection of xylazine with other public health and safety surveillance data from 2019 to 2023 in Kentucky. Methods: Wastewater samples from 5 rest areas, 2 truck weigh stations, and 4 wastewater treatment plants were tested for xylazine. Wastewater xylazine positivity rates were compared with xylazine-positive submission rates from the National Forensic Laboratory Information System and Kentucky's fatal overdoses in 6-month periods (Period 1=January-June; Period 2=July-December). Results: Xylazine was detected in 61.6% (424 of 688) of daily wastewater samples from roadway sites/wastewater treatment plants. For roadways, detection increased from 55% (Period 1, 2021) to 94% (Period 1, 2023), and wastewater treatment plants had an overall detection of 25.8% (n=66 samples, Periods 1 and 2, 2022). Increasing roadway positivity corresponded to trends in National Forensic Laboratory Information System xylazine-positive submission rates: from 0.19 per 1,000 submissions (Period 1, 2019) to 2.9 per 1,000 (Period 2, 2022, latest available). No deaths from xylazine were reported publicly in Kentucky, although this study's authors identified 1-4 deaths (true count suppressed) in the overdose surveillance system, which, in back-of-the-envelope comparisons with other states, is far fewer than expected. Conclusions: Wastewater signals indicate broad geographic exposure to xylazine in Kentucky, yet health outcomes data suggest otherwise. These findings may inform regional, national, and international efforts to incorporate wastewater-based drug surveillance. Harm-reduction activities along roadways and other suitable locations may be needed.

Evidence of housing instability identified by addresses, clinical notes, and diagnostic codes in a real-world population with substance use disorders.

Introduction: Housing instability is a social determinant of health associated with multiple negative health outcomes including substance use disorders (SUDs). Real-world evidence of housing instability is needed to improve translational research on populations with SUDs. Methods: We identified evidence of housing instability by leveraging structured diagnosis codes and unstructured clinical data from electronic health records of 20,556 patients from 2017 to 2021. We applied natural language processing with named-entity recognition and pattern matching to unstructured clinical notes with free-text documentation. Additionally, we analyzed semi-structured addresses containing explicit or implicit housing-related labels. We assessed agreement on identification methods by having three experts review of 300 records. Results: Diagnostic codes only identified 58.5% of the population identifiable as having housing instability, whereas 41.5% are identifiable from addresses only (7.1%), clinical notes only (30.4%), or both (4.0%). Reviewers unanimously agreed on 79.7% of cases reviewed; a Fleiss' Kappa score of 0.35 suggested fair agreement yet emphasized the difficulty of analyzing patients having ambiguous housing situations. Among those with poisoning episodes related to stimulants or opioids, diagnosis codes were only able to identify 63.9% of those with housing instability. Conclusions: All three data sources yield valid evidence of housing instability; each has their own inherent practical use and limitations. Translational researchers requiring comprehensive real-world evidence of housing instability should optimize and implement use of structured and unstructured data. Understanding the role of housing instability and temporary housing facilities is salient in populations with SUDs.

Interrupted time series analysis of drug overdose fatalities in service-related industries versus non-service-related industries during the COVID-19 pandemic, 2018-2021.

BACKGROUND: Variation among industries in the association between COVID-19-related closing or reopening orders and drug overdose deaths is unknown. The objectives of this study were to compare drug overdose decedent demographics, annual drug overdose fatality rates and monthly drug overdose fatality rates by specific industry within the service-related industry sector, and to perform an interrupted time series analysis comparing weekly drug overdose mortality counts in service-related and non-service-related industries, examining the COVID-19 pre-pandemic and pandemic phases by Kentucky closing and reopening orders. METHODS: Kentucky drug overdose death certificate and toxicology testing data for years 2018-2021 were analysed using Χ2 and interrupted time series methods. RESULTS: Before the pandemic, annual drug overdose fatality rates in service-related industries were higher than in non-service-related industries. However, these trends reversed during the pandemic. Both service-related and non-service-related industry groups experienced increased fatal drug overdoses at change points associated with the gubernatorial business closure orders, although the magnitude of the increase differed between the two groups. Young, female and black workers in service-related industries had higher frequencies of drug overdose deaths compared with decedents in the non-service-related industries. CONCLUSION: Spikes in drug overdose mortality in both service-related and non-service-related industries during the pandemic highlight the need to consider and include industries and occupations, as well as worker populations vulnerable to infectious diseases, as integral stakeholder groups when developing and implementing drug overdose prevention interventions, and implementing infectious disease surveillance systems.

Dental opioid prescription patterns in academic and community settings.

OBJECTIVES: Reports of interventions to improve dental opioid prescribing have come primarily from academic settings, but most opioid prescriptions are written by community dentists. This analysis compares prescription characteristics between these two groups to inform interventions to improve dental opioid prescribing in community settings. METHODS: State prescription drug monitoring program data from 2013 to 2020 were used to compare opioid prescriptions from dentists at academic institutions (PDAI) to prescriptions from dentists in non-academic settings (PDNS). Linear regression was used to assess daily morphine milligram equivalents (MME), total MME, and days' supply, adjusting for year, age, sex, and rurality. RESULTS: Prescriptions from dentists at the academic institution accounted for less than 2% of over 2.3 million dental opioid prescriptions analyzed. Over 80% of prescriptions in both groups were written for <50 MME per day and for ≤3 days' supply. On average, in the adjusted models, prescriptions from the academic institution were written for about 75 additional MME per prescription and nearly a full day longer duration. Compared to adults, adolescents were the only age group who received both higher daily doses and longer days' supply. CONCLUSIONS: Prescriptions from dentists at academic institutions accounted for small percentage of opioid prescriptions, but prescription characteristics were clinically comparable between groups. Interventional targets to reduce opioid prescribing in academic institutions could be applied to community settings.

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.

Trends in ICD-10-CM-Coded Administrative Datasets for Injury Surveillance and Research.

OBJECTIVES: Accurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews with experienced coders, informed by a review of the current literature, to identify three clinical coding trends that may affect the consistency of surveillance data: "clinical documentation improvement or clinical documentation integrity" (CDI), coding by treating clinicians, and certain electronic health record features. METHODS: An extensive literature review informed interviews with coding experts to identify potential issues in coding practice. To determine whether physician coding was associated with information loss, we analyzed data from two hospitals serving the same geographic area. One hospital had used physician coding of emergency department data for the past decade; the other used professional coders. We compared the proportion of emergency department records missing external cause of injury codes and assessed the variation for statistical significance. RESULTS: CDI audits review patient records to ensure that billing information includes every relevant International Classification of Diseases, Tenth Revision, Clinical Modification code. This approach has increased payment rates awarded to Medicare Advantage plans because additional codes increase the patient acuity level and case mix index. The impact of CDI audits on injury data needs further investigation. The pilot analysis addressing information loss with physician coding found a higher level of external cause coding with clinician self-coding, possibly because of the coding software. Finally, widespread "copy and paste" in patient electronic health records has the potential to increase reported injuries. CONCLUSIONS: Injury surveillance relies on billing and reimbursement records. Financial motivations may interfere with the consistency of surveillance findings and mislead injury epidemiologists. Further investigation is essential to ensure the integrity of surveillance findings.

Substance use disorders and social determinants of health from electronic medical records obtained during Kentucky's "triple wave".

Social determinants of health (SDOH) play a critical role in the risk of harmful drug use. Examining SDOH as a means of differentiating populations with multiple co-occurring substance use disorders (SUDs) is particularly salient in the era of prevalent opioid and stimulant use known as the "Third Wave". This study uses electronic medical records (EMRs) from a safety net hospital system from 14,032 patients in Kentucky from 2017 to 2019 in order to 1) define three types of SUD cohorts with shared/unique risk factors, 2) identify patients with unstable housing using novel methods for EMRs and 3) link patients to their residential neighborhood to obtain quantitative perspective on social vulnerability. We identified patients in three cohorts with statistically significant unique risk factors that included race, biological sex, insurance type, smoking status, and urban/rural residential location. Adjusting for these variables, we found a statistically significant, increasing risk gradient for patients experiencing unstable housing by cohort type: opioid-only (n = 7385, reference), stimulant-only (n = 4794, odds ratio (aOR) 1.86 95 % confidence interval (CI): 1.66-2.09), and co-diagnosed (n = 1853, aOR = 2.75, 95 % CI: 2.39 to 3.16). At the neighborhood-level, we used 8 different measures of social vulnerability and found that, for the most part, increasing proportions of patients with stimulant use living in a census tract was associated with more social vulnerability. Our study identifies potentially modifiable factors that can be tailored by substance type and demonstrates robust use of EMRs to meet national goals of enhancing research on social determinants of health.

Factors influencing opioid prescribing after tooth extraction.

BACKGROUND: Tooth extractions account for most opioid prescriptions from dentists, but specific characteristics that influence likelihood are less established. Improving understanding can facilitate development of tailored interventions to reduce unnecessary opioid prescribing. METHODS: The authors performed a retrospective review of patients 12 years and older undergoing tooth extraction at the College of Dentistry at the University of Kentucky from 2013 through 2020. The primary end point was issuance of an opioid prescription related to the encounter. RESULTS: In 44,387 eligible records analyzed, 10,628 (23.9%) patients received an opioid prescription. Results of multivariable logistic regression found that the factors associated with an opioid prescription included receipt of a nonopioid analgesic prescription (adjusted odds ratio [aOR], 11.36; 95% CI, 10.37 to 12.44), receipt of an antibiotic prescription (aOR, 8.29; 95% CI, 7.57 to 9.08), procedural sedation (aOR, 2.11; 95% CI, 1.93 to 2.31), surgical extraction (aOR, 1.96; 95% CI, 1.84 to 2.10), and third molar extractions (1 tooth: aOR, 1.14; 95% CI 1.04 to 1.25; 2 teeth: aOR, 2.09; 95% CI, 2.87 to 2.34; 3 teeth: aOR, 2.73; 95% CI, 2.36 to 3.15; 4 teeth: aOR, 3.45; 95% CI, 3.10 to 3.83). Factors that decreased risk included having an appointment in 2018 or later (aOR, 0.31; 95% CI, 0.29 to 0.33), in a student (aOR, 0.57; 95% CI, 0.51 to 0.65) or resident (aOR, 0.33; 95% CI, 0.31 to 0.36) clinic, and on any day other than Friday (Monday: aOR, 0.83; 95% CI, 0.76 to 0.91; Tuesday: aOR, 0.90; 95% CI, 0.83 to 0.99; Wednesday: aOR, 0.89; 95% CI, 0.81 to 0.97; Thursday: aOR, 0.88; 95% CI 0.81 to 0.97). CONCLUSIONS: Opioid prescriptions after tooth extraction were common in patients undergoing more extensive procedures. Provider perceptions, habits, and several clinical factors appeared to influence prescribing patterns. PRACTICAL IMPLICATIONS: The decision to prescribe an opioid appears to be associated with habits and factors perceived to modulate postoperative pain, which may serve as targets for opioid reduction strategies.

Practitioners Assess Achievements and Challenges of Nonfatal Injury Surveillance.

OBJECTIVE: Injury surveillance relies on data coded for administrative rather than epidemiological accuracy. The Centers for Disease Control and Prevention (CDC) established the 5-year Surveillance Quality Improvement (SQI) initiative to advance consensus and methodology for injury epidemiology reporting and analysis. Evaluation of the positive predictive value of the CDC's injury surveillance definitions based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding in designated injury categories comprised much of the SQI initiative's work. The goal of the current study is to identify achievements and challenges in SQI as articulated by experienced injury epidemiology practitioners who participated in the CDC-funded SQI initiative. DESIGN, SETTING, AND PARTICIPANTS: We conducted semistructured interviews with 12 representatives of state and federal public health agencies who had participated extensively in the SQI initiative. The interviews were transcribed and coded using NVivo qualitative analysis software. Initial coding of the data involved both in vivo coding (using the words of participants) and coding of a priori themes. MAIN OUTCOME MEASURES: Qualitative analysis identified 2 overarching themes, variability among states and observations on the science of injury surveillance. RESULTS: Within the 2 broad themes, the respondents provided valuable insights regarding access to medical records, case definition validation, unique contributions of medical record abstracting, variations in the practice of medical coding, and the potential for use of data from medical record reviews in other injury-related areas. CONCLUSIONS: The contributions of the SQI initiative have provided valuable insights into ICD-10-CM case definitions for national injury surveillance. Challenges remain with regard to data access and quality with ongoing reliance on administrative datasets for injury surveillance.

Emergency Medical Services and Syndromic Surveillance: A Comparison With Traditional Surveillance and Effects on Timeliness.

OBJECTIVE: Traditional public health surveillance of nonfatal opioid overdose relies on emergency department (ED) billing data, which can be delayed substantially. We compared the timeliness of 2 new data sources for rapid drug overdose surveillance-emergency medical services (EMS) and syndromic surveillance-with ED billing data. METHODS: We used data on nonfatal opioid overdoses in Kentucky captured in EMS, syndromic surveillance, and ED billing systems during 2018-2019. We evaluated the time-series relationships between EMS and ED billing data and syndromic surveillance and ED billing data by calculating cross-correlation functions, controlling for influences of autocorrelations. A case example demonstrates the usefulness of EMS and syndromic surveillance data to monitor rapid changes in opioid overdose encounters in Kentucky during the COVID-19 epidemic. RESULTS: EMS and syndromic surveillance data showed moderate-to-strong correlation with ED billing data on a lag of 0 (r = 0.694; 95% CI, 0.579-0.782; t = 9.73; df = 101; P < .001; and r = 0.656; 95% CI, 0.530-0.754; t = 8.73; df = 101; P < .001; respectively) at the week-aggregated level. After the COVID-19 emergency declaration, EMS and syndromic surveillance time series had steep increases in April and May 2020, followed by declines from June through September 2020. The ED billing data were available for analysis 3 months after the end of a calendar quarter but closely followed the trends identified by the EMS and syndromic surveillance data. CONCLUSION: Data from EMS and syndromic surveillance systems can be reliably used to monitor nonfatal opioid overdose trends in Kentucky in near-real time to inform timely public health response.

Validation of ICD-10-CM codes for injuries complicating pregnancy, childbirth and the puerperium: a medical record review.

INTRODUCTION: The purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data. METHODS: A medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP. RESULTS: The estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%). DISCUSSION: The O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.

Signal of increased opioid overdose during COVID-19 from emergency medical services data.

BACKGROUND: Individuals with opioid use disorder may be at heightened risk of opioid overdose during the COVID-19 period of social isolation, economic distress, and disrupted treatment services delivery. This study evaluated changes in daily number of Kentucky emergency medical services (EMS) runs for opioid overdose between January 14, 2020 and April 26, 2020. METHODS: We evaluated the statistical significance of the changes in the average daily EMS opioid overdose runs in the 52 days before and after the COVID-19 state of emergency declaration, March 6, 2020. RESULTS: Kentucky EMS opioid overdose daily runs increased after the COVID-19 state emergency declaration. In contrast, EMS daily runs for other conditions leveled or declined. There was a 17% increase in the number of EMS opioid overdose runs with transportation to an emergency department (ED), a 71% increase in runs with refused transportation, and a 50% increase in runs for suspected opioid overdoses with deaths at the scene. The average daily EMS opioid overdose runs with refused transportation increased significantly, doubled to an average of 8 opioid overdose patients refusing transportation every day during the COVID-19-related study period. CONCLUSIONS: This Kentucky-specific study provides empirical evidence for concerns that opioid overdoses are rising during the COVID-19 pandemic and calls for sharing of observations and analyses from different regions and surveillance systems with timely data collection (e.g., EMS data, syndromic surveillance data for ED visits) to improve our understanding of the situation, inform proactive response, and prevent another big wave of opioid overdoses in our communities.

ICD-10-CM-Based Definitions for Emergency Department Opioid Poisoning Surveillance: Electronic Health Record Case Confirmation Study.

OBJECTIVES: Valid opioid poisoning morbidity definitions are essential to the accuracy of national surveillance. The goal of our study was to estimate the positive predictive value (PPV) of case definitions identifying emergency department (ED) visits for heroin or other opioid poisonings, using billing records with International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. METHODS: We examined billing records for ED visits from 4 health care networks (12 EDs) from October 2015 through December 2016. We conducted medical record reviews of representative samples to estimate the PPVs and 95% confidence intervals (CIs) of (1) first-listed heroin poisoning diagnoses (n = 398), (2) secondary heroin poisoning diagnoses (n = 102), (3) first-listed other opioid poisoning diagnoses (n = 452), and (4) secondary other opioid poisoning diagnoses (n = 103). RESULTS: First-listed heroin poisoning diagnoses had an estimated PPV of 93.2% (95% CI, 90.0%-96.3%), higher than secondary heroin poisoning diagnoses (76.5%; 95% CI, 68.1%-84.8%). Among other opioid poisoning diagnoses, the estimated PPV was 79.4% (95% CI, 75.7%-83.1%) for first-listed diagnoses and 67.0% (95% CI, 57.8%-76.2%) for secondary diagnoses. Naloxone was administered in 867 of 1055 (82.2%) cases; 254 patients received multiple doses. One-third of all patients had a previous drug poisoning. Drug testing was ordered in only 354 cases. CONCLUSIONS: The study findings suggest that heroin or other opioid poisoning surveillance definitions that include multiple diagnoses (first-listed and secondary) would identify a high percentage of true-positive cases.

Opioid-Related Legislation in Kentucky and West Virginia: Assessing Policy Impact.

Kentucky and West Virginia are among the states most severely affected by opioid poisonings and deaths. The legislatures of both states have enacted a broad range of bills intended to address related issues. We present an overview of legislation enacted in 2017 and 2018, along with an approach to analysis of practitioner response to one type of legislation.

Timely linkage of individuals to substance use disorder treatment: development, implementation, and evaluation of FindHelpNowKY.org.

BACKGROUND: Substance use disorders (SUD) have steadily increased over the last two decades. Seeking SUD treatment involves searching SUD treatment facility types (inpatient, outpatient and intensive outpatient, residential and family residential, and detoxification facilities) that offer specialized SUD treatment depending on individual needs and preferences. Referrals to SUD treatment require innovative strategies that rapidly link individuals to SUD treatment when they are at the critical stage of readiness. The aim of this study was to develop, implement, and evaluate a user-friendly SUD treatment facility opening availability website called FindHelpNowKY.org. The objectives of the study were to 1) recruit SUD treatment facility and partner participation; 2) develop platform, content, and analytics for the FindHelpNowKY.org website intervention with an information repository; 3) assess barriers and facilitators to implementation; and 4) evaluate the development and implementation of FindHelpNowKY.org. METHODS: Website development stakeholders were identified and the website concept was developed. The logic model for FindHelpNowKY.org outlined resources, activities, and outputs as well as the associated short-term, medium-term, and long-term objectives, along with a website evaluation plan. Website usability and focus group testing was conducted. Information repository resource documents were compiled and categorized. An inventory of Kentucky-based SUD treatment facilities was compiled using various state and federal resources. RESULTS: Development/implementation barriers were addressed, facilitators were identified, and the website was implemented; 83% of SUD treatment facilities were indexed on the website, and average website user time was 7 min. From February to October 2018, there were 29,000 visitors, and 30,000 unique searches. The most common website query was a friend or family member seeking long-term residential or outpatient treatment facilities accepting Medicaid or Medicare. CONCLUSIONS: FindHelpNowKY.org has the potential to fill a critical need for timely access to available SUD treatment in the state. The website may be a valuable resource for health professionals that can enhance clinical workflow and reduce staff time conducting phone and website searches for available SUD treatment. The website is a promising tool for assessing current SUD treatment capacity vs. SUD treatment need. The FindHelpNow model can be used by other states to increase timely access to SUD treatment.

Impact of a Drug Overdose Decedent Toxicology Testing Legislative Mandate on Informing Coroner Death Investigation and Certification Practices.

OBJECTIVE: To (a) determine the impact of Kentucky's (KY's) mandate requiring postmortem toxicology testing of coroner cases; (b) identify the influence of coroner experience and training, jurisdiction size, budget, and location on postmortem testing requests; (c) identify facilitators/barriers for postmortem toxicology testing requests and listing the specific drugs involved in drug-poisoning deaths on death certificates. METHODS: A modified Dillman approach was used to deliver the survey to KY's elected coroners between April and May 2016. Responses stratified by identified influence factors were compared using χ2 tests and Fisher exact tests. RESULTS: Fifty-eight percent of coroners reported that drug overdose investigations had changed since the mandate was enacted. Statistically significant differences in responses were found when stratified. Sixty-three percent of coroners reported always using testing results to complete death certificates. CONCLUSIONS: Uptake of the mandate for postmortem toxicology testing of all decedents is not yet complete. POLICY IMPLICATION: Without uptake of the mandate, surveillance efforts may result in undercounting of drug overdose deaths and the involvement of specific drugs. Mandates for enhanced training and modification of funding structure for medico-legal death investigations could facilitate uptake.

Establishment of a comprehensive drug overdose fatality surveillance system in Kentucky to inform drug overdose prevention policies, interventions and best practices.

BACKGROUND: According to the National Center for Health Statistics, Kentucky had the third highest drug overdose fatality rate in the nation in 2015 at 29.9 drug overdose fatalities per 100 000 population. OBJECTIVE: The elevated drug overdose fatality rate necessitated the development and implementation of a comprehensive multisource drug overdose fatality surveillance system (DOFSS). METHODS: DOFSS stakeholder work group members and data sources were identified, and memorandums of understanding were established. The following data sources were used to establish DOFSS: (1) death certificates; (2) autopsy reports; (3) toxicology result reports; (4) coroner reports; and (5) Kentucky All Schedule Prescription Electronic Reporting (KASPER) (prescription drug monitoring programme) data. Drug overdose poisonings were defined using Injury Surveillance Workgroup 7 definitions. Analyses were performed to investigate possible drug overdose-related health disparities for disabled drug overdose decedents and to characterise gabapentin in drug overdose deaths. RESULTS: DOFSS identified 2106 drug overdose poisoning fatalities in Kentucky for 2013-2014. Identification of specific drugs involved in drug overdose deaths increased from 75.8% using a single data source to 97.5% using multiple data sources. Disabled drug overdose decedents were significantly more likely to have an active prescription for drugs identified in their system compared with the non-disabled drug overdose decedents. Toxicology data showed increased gabapentin involvement in drug overdose deaths from 2.9% in 2013 to 17% in 2014. Alprazolam was found most often in combination with gabapentin (41%), along with various other benzodiazepines and prescription opioids. CONCLUSIONS: A comprehensive multisource DOFSS improved drug overdose fatality surveillance by increasing completeness of data and data quality. DOFSS is a model that can be considered by other states to enhance their efforts in tracking drug overdose fatalities, identifying new and emerging trends, and informing policies and best practices, to address and reduce drug overdoses.

Heroin and fentanyl overdoses in Kentucky: Epidemiology and surveillance.

BACKGROUND: The study aims to describe recent changes in Kentucky's drug overdose trends related to increased heroin and fentanyl involvement, and to discuss future directions for improved drug overdose surveillance. METHODS: The study used multiple data sources (death certificates, postmortem toxicology results, emergency department [ED] records, law enforcement drug submissions, and prescription drug monitoring records) to describe temporal, geographic, and demographic changes in drug overdoses in Kentucky. RESULTS: Fentanyl- and heroin-related overdose death rates increased across all age groups from years 2011 to 2015 with the highest rates consistently among 25-34-year-olds. The majority of the heroin and fentanyl overdose decedents had histories of substantial exposures to legally acquired prescription opioids. Law enforcement drug submission data were strongly correlated with drug overdose ED and mortality data. The 2016 crude rate of heroin-related overdose ED visits was 104/100,000, a 68% increase from 2015 (62/100,000). More fentanyl-related overdose deaths were reported between October, 2015, and September, 2016, than ED visits, in striking contrast with the observed ratio of >10 to 1 heroin-related overdose ED visits to deaths. Many fatal fentanyl overdoses were associated with heroin adulterated with fentanyl; <40% of the heroin overdose ED discharge records listed procedure codes for drug screening. CONCLUSIONS: The lack of routine ED drug testing likely resulted in underreporting of non-fatal overdoses involving fentanyl and other synthetic drugs. In order to inform coordinated public health and safety responses, drug overdose surveillance must move from a reactive to a proactive mode, utilizing the infrastructure for electronic health records.