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.