Feasibility and outcomes from an integrated bridge treatment program for opioid use disorder

How Financial Beliefs and Behaviors Influence the Financial Health of Individuals Struggling with Opioid Use Disorder

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results revealed low overall financial health, with a median debt of USD 12,961 and a quality-of-life score of 72.80, 9.4% lower than the U.S. average (82.10). Most participants (65.75%) reported improved financial health during recovery, while a higher majority (79.45%) worsened during active use. Unemployment affected 42% of respondents, and 9.52% were employed only part-time. Regression analysis highlighted a strong association between lack of full-time employment and a lack of financial advising with total debt. High financial anxiety and active use were associated with lower quality of life. Individuals with OUD may benefit from financial interventions, resources, and counseling to improve their financial health.

Understanding Healthcare Providers' Care for Patients with Medications Treating Opioid Use Disorder in the Emergency Department: A Scoping Review

BACKGROUND

There is limited research exploring the changing clinical practices among healthcare providers (HPs) care for patients with Emergency Department (ED)-initiated Medication for Opioid Use Disorder (MOUD).

METHODS

This scoping review followed the methodological framework of Arksey and O'Malley to map relevant evidence and synthesize the findings. We searched PubMed, EMBASE, CINAHL, Web of Science, and Scopus for related studies from inception through October 12, 2022. Following the application of inclusion and exclusion criteria, 16 studies were included. Subsequently, they were charted and analyzed thematically based on ecological systems theory.

RESULTS

The main determinants in the four ecological systems were generated as follows: (1) microsystem: willingness and attitude, professional competence, readiness, and preference; (2) mesosystem: ED clinical practices, departmental factors; (3) exosystem: multidisciplinary approaches, discharge planning, and (4) macrosystem: stigma, health insurance, policy. The findings have implications for HPs and researchers, as insufficient adoption, implementation, and retention of MOUD in the ED affect clinical practices.

CONCLUSIONS

Across the four ecological systems, ED-initiated MOUD is shaped by multifaceted determinants. The microsystem underscores pivotal patient-HP trust dynamics, while the mesosystem emphasizes interdepartmental synergies. Exosystemically, resource allocation and standardized training remain paramount. The macrosystem reveals profound effects of stigma, insurance disparities, and evolving policies on treatment access and efficacy. Addressing these interconnected barriers is crucial for optimizing patient outcomes in the context of MOUD.

How an emergency department is organized to provide opioid-specific harm reduction and facilitators and barriers to harm reduction implementation: a systems perspective

BACKGROUND

The intersection of dual public health emergencies-the COVID-19 pandemic and the drug toxicity crisis-has led to an urgent need for acute care based harm reduction for unregulated opioid use. Emergency Departments (EDs) as Complex Adaptive Systems (CASs) with multiple, interdependent, and interacting elements are suited to deliver such interventions. This paper examines how the ED is organized to provide harm reduction and identifies facilitators and barriers to implementation in light of interactions between system elements.

METHODS

Using a case study design, we conducted interviews with Emergency Physicians (n = 5), Emergency Nurses (n = 10), and clinical leaders (n = 5). Nine organizational policy documents were also collected. Interview data were analysed using a Reflexive Thematic Analysis approach. Policy documents were analysed using a predetermined coding structure pertaining to staffing roles and responsibilities and the interrelationships therein for the delivery of opioid-specific harm reduction in the ED. The theory of CAS informed data analysis.

RESULTS

An array of system agents, including substance use specialist providers and non-specialist providers, interacted in ways that enable the provision of harm reduction interventions in the ED, including opioid agonist treatment, supervised consumption, and withdrawal management. However, limited access to specialist providers, when coupled with specialist control, non-specialist reliance, and concerns related to safety, created tensions in the system that hinder harm reduction provision with resulting implications for the delivery of care.

CONCLUSIONS

To advance harm reduction implementation, there is a need for substance use specialist services that are congruent with the 24 h a day service delivery model of the ED, and for organizational policies that are attentive to discourses of specialized practice, hierarchical relations of power, and the dynamic regulatory landscape. Implementation efforts that take into consideration these perspectives have the potential to reduce harms experienced by people who use unregulated opioids, not only through overdose prevention and improving access to safer opioid alternatives, but also through supporting people to complete their unique care journeys.

Machine Learning for Predicting Risk of Early Dropout in a Recovery Program for Opioid Use Disorder

Background: An increase in opioid use has led to an opioid crisis during the last decade, leading to declarations of a public health emergency. In response to this call, the Houston Emergency Opioid Engagement System (HEROES) was established and created an emergency access pathway into long-term recovery for individuals with an opioid use disorder. A major contributor to the success of the program is retention of the enrolled individuals in the program. Methods: We have identified an increase in dropout from the program after 90 and 120 days. Based on more than 700 program participants, we developed a machine learning approach to predict the individualized risk for dropping out of the program. Results: Our model achieved sensitivity of 0.81 and specificity of 0.65 for dropout at 90 days and improved the performance to sensitivity of 0.86 and specificity of 0.66 for 120 days. Additionally, we identified individual risk factors for dropout, including previous overdose and relapse and improvement in reported quality of life. Conclusions: Our informatics approach provides insight into an area where programs may allocate additional resources in order to retain high-risk individuals and increase the chances of success in recovery.

Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder

Background: The Houston Emergency Opioid Engagement System was established to create an access pathway into long-term recovery for individuals with opioid use disorder. The program determines effectiveness across multiple dimensions, one of which is by measuring the participant’s reported quality of life (QoL) at the beginning of the program and at successive intervals. Methods: A visual analog scale was used to measure the change in QoL among participants after joining the program. We then identified sociodemographic and clinical characteristics associated with changes in QoL. Results: 71% of the participants (n = 494) experienced an increase in their QoL scores, with an average improvement of 15.8 ± 29 points out of a hundred. We identified 10 factors associated with a significant change in QoL. Participants who relapsed during treatment experienced minor increases in QoL, and participants who attended professional counseling experienced the largest increases in QoL compared with those who did not. Conclusions: Insight into significant factors associated with increases in QoL may inform programs on areas of focus. The inclusion of counseling and other services that address factors such as psychological distress were found to increase participants’ QoL and success in recovery.

The Impact of a Peer-Navigator Program on Naloxone Distribution and Buprenorphine Utilization in the Emergency Department

Objectives: In recent years many emergency departments (EDs) have adopted interventions to help patients with opioid use disorder (OUD), particularly buprenorphine initiation and ED-based peer recovery support. There are limited data on the impact of peer navigators on provider naloxone kit distribution and buprenorphine utilization. We aimed to examine the impact of a peer recovery program on naloxone kit distribution and buprenorphine administration. Methods: This was a retrospective study analyzing the change in naloxone kits distributed as well as buprenorphine administrations. Data on naloxone kit and buprenorphine administrations was generated every month between November 2017 and February 2021. Time periods were as follows: implementation of guidelines for buprenorphine and naloxone kits, initiation of the navigator program, and first wave of COVID-19. Numbers of naloxone kits distributed and buprenorphine administrations per month were computed. Results: Between November 2017 and December 2020, there was a significant increase overtime among the 238 naloxone kits distributed (p < 0.0001). Between implementation of guidelines and introduction of peer navigators, there were 49 kits distributed, compared to an increase overtime among 235 kits when the navigator program began (p = 0.0001). There was also a significant increase overtime among 1797 administrations of buprenorphine (p < 0.0001). Administrations increased by 22.4% after implementation of the navigator program-a total of 787 compared to 643 post guideline (p = 0.007). Conclusion: Peer recovery support programs for patients with OUD can have an impact on administration of naloxone kits and buprenorphine. Future studies should determine whether these programs can cause a long-term culture change in the ED.

Successful transfer of stable patients on opioid agonist therapies from specialty addiction treatment to primary care settings in Ukraine: A pilot study

INTRODUCTION

In Ukraine, HIV is concentrated among people who inject drugs (PWID), and opioid agonist therapies (OAT) are the most effective approach to preventing HIV transmission. OAT coverage is well below internationally recommended levels, with OAT provided primarily in specialty addiction treatment clinics. Integrating OAT into primary care settings represents a promising practice for increasing OAT coverage.

METHODS

The study collected data prospectively from the first 50 stable patients transferred from the largest OAT site to 10 primary care clinics in Kiev; patients had negative urine drug tests for the previous six months. Participants completed the BASIS-24-the 24-item Behaviour and Symptom Identification Scale-to assess symptoms of psychiatric and social function across 6 domains: (1) depression and functioning, (2) relationships, (3) self-harm, (4) emotional lability, (5) psychosis, and (6) substance use before transfer and 6 months after transfer from May through November 2019.

RESULTS

Participants were on average 36 years old, mostly male (84.0%) and had some employment (64.0%). After six months, some employment increased to 88.0% and BASIS-24 scores significantly improved on four domains: depression (1.09 vs 0.73, p = 0.0005), relationships (2.15 vs 1.7, p < 0.0001), emotional liability (1.30 vs 1.00, p = 0.0209) and substance use (1.23 vs 1.07, p = 0073).

CONCLUSIONS

Stable OAT patients can be successfully transferred from specialty to primary care clinics without deterioration in mental health symptoms or functioning. Patients transferred to primary care showed significant improvement in their emotional well-being, their substance use, and their employment status.