Decision support in addiction: The development of an e-health tool to assess and prevent risk of fatal overdose. The ORION Project

Virtual overdose monitoring services and overdose prevention technologies: Opportunities, limitations, and future directions

Overdose mortality has continued to rise in North America and across the globe in people who use drugs. Current harm reduction strategies such as supervised consumption sites and naloxone kit distribution have been important public health strategies implemented to decrease the harms associated with illicit drug use however have key limitations which prevent their scalability. This is represented in statistics which indicate that the vast majority of overdose mortality occur in individuals who use drugs by themselves. To address this, virtual overdose monitoring services and overdose detection technologies have emerged as an adjunct solution that may help improve access to harm reduction services for those that cannot or choose not to access current in-person services. This article outlines the current limitations of harm reduction services, the opportunities, challenges, and controversies of these technologies and services, and suggests avenues for additional research and policy development.

Prescribing of Opioids and Benzodiazepines Among Patients With History of Overdose

OBJECTIVES

Addiction and overdose related to prescription drugs continues to be a leading cause of morbidity and mortality in the United States. We aimed to characterize the prescribing of opioids and benzodiazepines to patients who had previously presented with an opioid or benzodiazepine overdose.

METHODS

This was a retrospective chart review of patients who were prescribed an opioid or benzodiazepine in a 1-month time-period in 2015 (May) and had a previous presentation for opioid or benzodiazepine overdose at a large healthcare system.

RESULTS

We identified 60,129 prescribing encounters for opioids and/or benzodiazepines, 543 of which involved a patient with a previous opioid or benzodiazepine overdose. There were 404 unique patients in this cohort, with 97 having more than 1 visit including a prescription opioid and/or benzodiazepine. A majority of prescriptions (54.1%) were to patients with an overdose within the 2 years of the documented prescribing encounter. Prescribing in the outpatient clinical setting represented half (49.9%) of encounters, whereas emergency department prescribing was responsible for nearly a third (31.5%).

CONCLUSIONS

In conclusion, prescribing of opioids and benzodiazepines occurs across multiple locations in a large health care system to patients with a previous overdose. Risk factors, such as previous overdose should be highlighted through clinical decision support tools in the medical record to help prescribers identify patients at higher risk and to mobilize resources for this patient population. Prescribers need further education on factors that place their patients at risk for opioid use disorder and on alternative therapies to opioids and benzodiazepines.

e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors

BACKGROUND

New technologies can profoundly change the way we understand psychiatric pathologies and addictive disorders. New concepts are emerging with the development of more accurate means of collecting live data, computerized questionnaires, and the use of passive data. Digital phenotyping, a paradigmatic example, refers to the use of computerized measurement tools to capture the characteristics of different psychiatric disorders. Similarly, machine learning-a form of artificial intelligence-can improve the classification of patients based on patterns that clinicians have not always considered in the past. Remote or automated interventions (web-based or smartphone-based apps), as well as virtual reality and neurofeedback, are already available or under development.

OBJECTIVE

These recent changes have the potential to disrupt practices, as well as practitioners' beliefs, ethics and representations, and may even call into question their professional culture. However, the impact of new technologies on health professionals' practice in addictive disorder care has yet to be determined. In the present paper, we therefore present an overview of new technology in the field of addiction medicine.

METHOD

Using the keywords [e-health], [m-health], [computer], [mobile], [smartphone], [wearable], [digital], [machine learning], [ecological momentary assessment], [biofeedback] and [virtual reality], we searched the PubMed database for the most representative articles in the field of assessment and interventions in substance use disorders.

RESULTS

We screened 595 abstracts and analyzed 92 articles, dividing them into seven categories: e-health program and web-based interventions, machine learning, computerized adaptive testing, wearable devices and digital phenotyping, ecological momentary assessment, biofeedback, and virtual reality.

CONCLUSION

This overview shows that new technologies can improve assessment and interventions in the field of addictive disorders. The precise role of connected devices, artificial intelligence and remote monitoring remains to be defined. If they are to be used effectively, these tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and other health professionals is essential to their design and assessment.

Engagement in the Overdose RIsk InfOrmatioN (ORION) e-Health Tool for Opioid Overdose Prevention and Self-Efficacy: A Preliminary Study

Increasing awareness of, and information about, overdose risk is an appropriate approach in risk reduction. e-Health technology in substance use disorders is an opportunity to support behavioral changes related to public health concerns. The present study aimed to evaluate the short-term impact of an innovative e-health psychoeducational software, the Overdose RIsk InfOrmatioN (ORION) tool. The ORION programme provided relevant information to opioid-dependent individuals about the risk of suffering a drug overdose as a result of high risky and dysfunctional behaviors. Seven aggregate risk factors were identified through a systematic review and their outputs included in a risk estimation model. We recruited 194 opioid-dependent treatment-seeking individuals from the United Kingdom, Germany, Italy, and Denmark. All participants were given at study entry, and after their use of the software, the General Self-Efficacy (GSE) Scale. We found comparable pre- and post-ORION administration mean GSE scores (SD), 28.49 (5.50) and 28.32 (5.90), respectively (p = 0.297). However, there was an inverse correlation between the number of risk factors and reported levels of self-efficacy (p < 0.001). ORION was able to identify individuals who are most in need of reducing their modifiable risk factors with appropriate interventions. However, a one-shot e-health tool cannot influence complex domains such as self-efficacy unless this is used with other effective interventions. Nonetheless, the ORION tool is unique in its style and content of delivery, that is translating risks combination into a clear estimation, and will need further development such as (a) integration in smartphone-based e-health apps and (b) testing in other high-risk populations.