Identification of Non-Fatal Opioid Overdose Cases Using 9-1-1 Computer Assisted Dispatch and Prehospital Patient Clinical Record Variables

From Patient Registry to Multi-Center Research Consortium: the Toxicology Investigators Consortium (ToxIC) Turns Fifteen

The Toxicology Investigators Consortium (ToxIC) was launched as a prospective multi-center registry of cases who receive medical toxicology consultations. Now, with over 100,000 cases, the Core Registry continues to address many medical toxicology research questions and has served as the foundation for multiple sub-registries, including the North American Snakebite Registry and the Medications for Opioid Use Disorder sub-registry. ToxIC also has evolved a portfolio of non-registry-based projects utilizing medical toxicology physician site principal investigators who enroll patients through emergency departments, irrespective of whether they received a medical toxicology consultation. These studies include the FDA-ACMT COVID-19 ToxIC Pharmacovigilance Project, which identifies adverse drug reactions related to the treatment of COVID-19, the Fentalog Study a toxico-surveillance study of suspected opioid overdose cases, the Drug Overdose Toxico-Surveillance Reporting Program which enrolls either suspected stimulant or opioid overdose cases, and the just being launched Real-World Examination of Naloxone for Drug Overdose Reversal project. Given ToxIC's experience in multi-center studies and its well-developed infrastructure, it is well-positioned to provide a nimble response on the part of the medical toxicology community to addressing evolving toxicological threats, drug and chemical toxicosurveillance, and other important medical toxicology priorities.

Artificial intelligence and machine learning in prehospital emergency care: A scoping review

Our scoping review provides a comprehensive analysis of the landscape of artificial intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field by highlighting the most studied AI applications and identifying the most common methodological approaches across 106 included studies. The findings indicate a promising future for AI in PEC, with many unique use cases, such as prognostication, demand prediction, resource optimization, and the Internet of Things continuous monitoring systems. Comparisons with other approaches showed AI outperforming clinicians and non-AI algorithms in most cases. However, most studies were internally validated and retrospective, highlighting the need for rigorous prospective validation of AI applications before implementation in clinical settings. We identified knowledge and methodological gaps using an evidence map, offering a roadmap for future investigators. We also discussed the significance of explainable AI for establishing trust in AI systems among clinicians and facilitating real-world validation of AI models.

Prevalence and correlates of incarceration following emergency medical services response to overdose

BACKGROUND

To describe the prevalence of incarceration among survivors of non-fatal overdose addressed through an emergency medical services (EMS) response, and compare incarceration by whether the emergency was for opioid-involved or stimulant-involved overdose.

METHODS

Administrative records on 192,113 EMS incidents and 70,409 jail booking events occurring between January 1, 2019 and December 31, 2020 in Indianapolis, Indiana were record-linked at the event level. Incarceration taking place within 6-hours of an EMS incident was associated with that incident. Logistic regression was used to calculate adjusted odds ratios (AOR) of incarceration after an overdose.

RESULTS

Among all EMS incidents, 2.6% were followed by incarceration. For overdose EMS incidents, the prevalence of incarceration was 10.0%. Overdose incidents had higher odds than non-overdose incidents of leading to a charge of felony, booked on a warrant, and transferred to another law enforcement agency upon release. Prevalence of incarceration following a stimulant-involved overdose was 21.3%, compared to 9.3% for opioid-involved overdose survivors. Compared to persons from other EMS incidents, overdose survivors had greater odds of incarceration (AOR=3.48, 95% confidence interval (CI)= 3.22, 3.75, p < .001), with opioid-involved overdoses (AOR=3.03, 95% CI=2.76, 3.33, p < .001) and stimulant-involved overdoses (AOR=6.70, 95% CI=5.26, 8.55, p < .001) leading to higher odds of incarceration.

CONCLUSION

Incarceration in county jail followed one in ten overdose-involved EMS responses. As illicit drug consumption increasingly involves stimulants, the frequency of incarceration following these events is likely to increase. Policy changes and interventions are needed to reduce incarceration after overdose emergencies.