Overdose deaths before and during the COVID-19 pandemic in a US county.

Introduction: Globally, overdose deaths increased near the beginning of the COVID-19 pandemic, which created availability and access barriers to addiction and social services. Especially in times of a crisis like a pandemic, local exposures, service availability and access, and system responses have major influence on people who use drugs. For policy makers to be effective, an understanding at the local level is needed.

Model-driven decision support: A community-based meta-implementation strategy to predict population impact.

Purpose: Standard tools for public health decision making such as data dashboards, trial repositories, and intervention briefs may be necessary but insufficient for guiding community leaders in optimizing local public health strategy. Predictive modeling decision support tools may be the missing link that allows community level decision makers to confidently direct funding and other resources to interventions and implementation strategies that will improve upon the status quo.

Methods: We describe a community-based model-driven decision support (MDDS) approach that requires community engagement, local data, and predictive modeling tools (agent-based modeling in our case studies) to improve decision-making on implementing strategies to address complex public health problems such as overdose deaths.

When a pandemic and epidemic collide: Lessons learned about how system barriers can interrupt implementation of addiction research.

Background: Telehealth technologies are now featured more prominently in addiction treatment services than prior to the COVID-19 pandemic, but system barriers should be carefully considered for the successful implementation of innovative remote solutions for medication management and recovery coaching support for people with opioid use disorder (OUD).

Method: The Centers for Disease Control and Prevention funded a telehealth trial prior to the COVID-19 pandemic with a multi-institution team who attempted to implement an innovative protocol during the height of the pandemic in 2020 in Tampa, Florida. The study evaluated the effectiveness of a mobile device application, called , which integrated remote motivational recovery coaching with daily supervised dosing from secure pill dispensers via videoconference, on medication adherence during buprenorphine treatment.

Rapid adaptation during the COVID crisis: Challenges experienced in delivering service to those with Opioid Use Disorders.

Background: Adaptation is an accepted part of implementing evidence-based practices. COVID-19 presented a unique opportunity to examine adaptation in evolving contexts. Delivering service to people with opioid use disorder during the pandemic required significant adaptation due to revised regulations and limited service access.

Protecting patients and staff in residential treatment centers during exposure to COVID-19: commentary.

Background: The COVID-19 pandemic has created a crisis in access to addiction treatment. Programs with residential components have been particularly impacted as they try to keep infection from spreading in facilities and contributing to further community spread of the virus. This crisis highlights the ongoing daily trade-offs that organizations must weigh as they balance the risks and benefits of individual patients with those of the group of patients, staff and the community they serve.