COVID19 pandemic and people with opioid use disorder: innovation to reduce risk.
Ontology highlight
ABSTRACT:
SUBMITTER: Vecchio S
PROVIDER: S-EPMC7190508 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
COVID19 pandemic and people with opioid use disorder: innovation to reduce risk.
Vecchio Sarah S Ramella Roberto R Drago Alessandra A Carraro Daniele D Littlewood Richard R Somaini Lorenzo L
Psychiatry research 20200430
The Covid-19 pandemic is creating a vast and growing number of challenges for all. People with a history of opioid use disorder (OUD) also may be exposed to additional risks. Piedmont one of the areas most severely affected by the Covid-19 pandemic, with large numbers of people infected and related mortality. In the region, specialists responsible for OUD care identified the risk that the existing care system exposed patients to. Teams designed and implemented innovation approaches to enable con ...[more]
Similar Datasets
Project description:AimTo capture pandemic experiences of people with opioid use disorder (OUD) to better inform the programs that serve them.DesignWe designed, conducted, and analyzed semi-structured qualitative interviews using grounded theory. We conducted interviews until theme saturation was reached and we iteratively developed a codebook of emerging themes. Individuals with lived experience of substance use provided feedback at all steps of the study.SettingWe conducted phone or in-person interviews in compliance with physical distancing and public health regulations in outdoor Vancouver parks or well-ventilated indoor spaces between June to September 2020.ParticipantsUsing purposive sampling, we recruited participants (n = 19) who were individuals with OUD enrolled in an intensive community outreach program, had visited one of two emergency departments, were over 18, lived within catchment, and were not already receiving opioid agonist therapy.MeasurementsWe audio-recorded interviews, which were later transcribed verbatim and checked for accuracy while removing all identifiers. Interviews explored participants' knowledge of COVID-19 and related safety measures, changes to drug use and healthcare services, and community impacts of COVID-19.ResultsOne third of participants were women, approximately two thirds had stable housing, and ages ranged between 23 and 59 years old. Participants were knowledgeable on COVID-19 public health measures. Some participants noted that fear decreased social connection and reluctance to help reverse overdoses; others expressed pride in community cohesion during crisis. Several participants mentioned decreased access to housing, harm reduction, and medical care services. Several participants reported using drugs alone more frequently, consuming different or fewer drugs because of supply shortages, or using more drugs to replace lost activities.ConclusionCOVID-19 had profound effects on the social lives, access to services, and risk-taking behaviour of people with opioid use disorder. Pandemic public health measures must include risk mitigation strategies to maintain access to critical opioid-related services.
| S-EPMC8320992 | biostudies-literature
Project description:ObjectiveThe United States is amidst an opioid epidemic, including synthetic opioids that may result in rapid death, leaving minimal opportunity for bystander rescue. We pilot tested a behavioral intervention to reduce the occurrence of opioid overdose among opioid dependent persons at high-risk for subsequent overdose.Materials and methodsWe conducted a single-blinded randomized-controlled trial of a repeated dose motivational interviewing intervention (REBOOT) to reduce overdose versus treatment as usual, defined as information and referrals, over 16 months at the San Francisco Department of Public Health from 2014-2016. Participants were 18-65 years of age, had opioid use disorder by Structured Clinical Interview, active opioid use, opioid overdose within 5 years, and prior receipt of naloxone kits. The intervention was administered at months 0, 4, 8, and 12, preceded by the assessment which was also administered at month 16. Dual primary outcomes were any overdose event and number of events, collected by computer-assisted personal interview, as well as any fatal overdose events per vital records.ResultsA total of 78 persons were screened and 63 enrolled. Mean age was 43 years, 67% were born male, 65% White, 17% African-American, and 14% Latino. Ninety-two percent of visits and 93% of counseling sessions were completed. At baseline, 33.3% of participants had experienced an overdose in the past four months, with a similar mean number of overdoses in both arms (p = 0.95); 29% overdosed during follow-up. By intention-to-treat, participants assigned to REBOOT were less likely to experience any overdose (incidence rate ratio [IRR] 0.62 [95%CI 0.41-0.92, p = 0.019) and experienced fewer overdose events (IRR 0.46, 95%CI 0.24-0.90, p = 0.023), findings that were robust to sensitivity analyses. There were no differences between arms in days of opioid use, substance use treatment, or naloxone carriage.ConclusionsREBOOT reduced the occurrence of any opioid overdose and the number of overdoses.Trial registrationclinicaltrials.gov NCT02093559.
| S-EPMC5648110 | biostudies-literature
Project description:BackgroundMany primary care clinicians (PCCs) hold stigma toward people with opioid use disorder (OUD), which may be a barrier to care. Few interventions exist to address PCC stigma toward people with OUD. This study examined whether an online training incorporating patient narratives reduced PCCs' stigma toward people with OUD (primary) and increased intentions to treat people with OUD compared to an attention-control training (secondary).MethodsPCCs from 15 primary care clinics were invited to complete a 30 min online training for an electronic health record-embedded clinical decision support (CDS) tool that alerts PCCs to screen, diagnose, and treat people with OUD. PCCs were randomized to receive a stigma-reduction version of the training with patient narrative videos or a control training without patient narratives and were blinded to group assignment. Immediately after the training, PCCs completed surveys of stigma towards people with OUD and intentions and willingness to treat OUD. CDS tool use was monitored for 6 months. Analyses included independent samples t-tests, Pearson correlations, and logistic regression.ResultsA total of 162 PCCs were randomized; 88 PCCs (58% female; 68% white) completed the training (Stigma = 48; Control = 40) and were included in analyses. There was no significant difference between intervention and control groups for stigma (t = - 0.48, p = .64, Cohen's d = - 0.11), intention to get waivered (t = 1.11, p = .27, d = 0.26), or intention to prescribe buprenorphine if a waiver were no longer required (t = 0.90, p = 0.37, d = 0.21). PCCs who reported greater stigma reported lower intentions both to get waivered (r = - 0.25, p = 0.03) and to prescribe buprenorphine with no waiver (r = - 0.25, p = 0.03). Intervention group and self-reported stigma were not significantly related to CDS tool use.ConclusionsStigma toward people with OUD may require more robust intervention than this brief training was able to accomplish. However, stigma was related to lower intentions to treat people with OUD, suggesting stigma acts as a barrier to care. Future work should identify effective interventions to reduce stigma among PCCs.Trial registrationClinicalTrials.gov NCT04867382. Registered 30 April 2021-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04867382.
| S-EPMC9922036 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2022-05-31 | GSE198123 | GEO
Project description:ObjectivesMore than 2 million people in the United States had an opioid use disorder in 2017. Treatment for opioid use disorder-particularly medication combined with psychosocial support-is effective for reducing opioid use and decreasing overdose risk. However, approximately 50% of people who receive treatment will relapse or drop out. Stress reactivity, defined as the subjective and physiological response to stress, is heightened in people with opioid use disorder and higher stress reactivity is associated with poorer outcomes. Preliminary studies suggest that stress reactivity may be a key mechanistic target for improving outcomes. This article describes the design of an ongoing study examining behavioral strategies for reducing stress reactivity in adults with opioid use disorder. Our objective is to test the efficacy of two behavioral strategies for reducing stress reactivity and enhancing behavioral persistence in the context of stress (distress tolerance).MethodWe will recruit 120 adults with opioid use disorder and randomly assign them to brief training in (a) cognitive reappraisal, (b) affect labeling, or (c) a psychoeducational control. Participants will receive the training intervention followed by a laboratory stressor during which they will be instructed to apply the trained skill.ResultsSubjective and physiological responses to stress will be measured as indices of stress reactivity and the stressor task will include a behavioral persistence component as a measure of distress tolerance.ConclusionsThe ultimate goal of this study is to inform the development of behavioral interventions that can be used as an adjunct to medication-based treatment for opioid use disorder. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
| S-EPMC8352497 | biostudies-literature
Project description:BackgroundThe opioid-related overdose epidemic remains a persistent public health problem in the United States and has been accelerated by the 2019 coronavirus disease pandemic. Existing, evidence-based treatment options for opioid use disorder (OUD) are broadly underutilized, particularly by people experiencing homelessness (PEH). PEH are also more likely to misuse and overdose on opioids. To better understand current gaps and disparities in OUD treatment experienced by PEH and efforts to address them, we synthesized the literature reporting on the intersection of housing status and OUD treatment.MethodsWe conducted a scoping review of the literature from the electronic databases MEDLINE, Embase, PsycINFO, and Web of Science Core Collection. We included studies describing treatment-related outcomes specific to PEH and articles assessing OUD treatment interventions tailored to this population. Relevant findings were compiled via thematic analysis and narratively synthesized.Results60 articles met our inclusion criteria, including 43 descriptive and 17 intervention-focused studies. These studies demonstrated that PEH experience more barriers to OUD treatment than their housed counterparts and access inpatient and detoxification treatment more commonly than pharmacotherapy. However, the reviewed literature indicated that PEH have similar outcomes once engaged in pharmacotherapy. Efficacious interventions for PEH were low-barrier and targeted, with housing interventions also demonstrating benefit.ConclusionsPEH have diminished access to evidence-based OUD treatment, particularly medications, and require targeted approaches to improve engagement and retention. To mitigate the disproportionate opioid-related morbidity and mortality PEH experience, innovative, flexible, and interdisciplinary OUD treatment models are necessary, with housing support playing an important role.
| S-EPMC9758007 | biostudies-literature
Project description:BackgroundOpioid overdose (OD) and opioid OD death are major health threats to people with opioid use disorder (OUD). Socioeconomic factors are underexplored potential determinants of opioid OD. In this study, we assessed socioeconomic and other factors and their associations with incident and fatal opioid OD, in a cohort consisting of 22,079 individuals with OUD.MethodsWe performed a retrospective, longitudinal study based on Swedish national register data for the period January 2005-December 2017. We used Cox proportional hazard models to investigate the risk of incident and fatal opioid OD as a function of several individual, parental and neighborhood covariates.ResultsUnivariate analysis showed that several covariates were associated with incident and fatal opioid OD. In the multivariate analysis, incident opioid OD was associated with educational attainment (Hazard ratio [HR] 0.96; 95% confidence interval [CI] 0.94-0.97), having received social welfare (HR 1.31; 95% CI 1.22-1.39), and criminal conviction (HR 1.53; 95% CI 1.42-1.65). Fatal opioid OD was also associated with criminal conviction (HR 1.93; 95% CI 1.61-2.32).ConclusionIndividuals with low education and receipt of social welfare had higher risks of incident opioid OD and individuals with criminal conviction were identified as a risk group for both incident and fatal opioid OD. Our findings should raise attention among health prevention policy makers in general, and among decision-makers within the criminal justice system and social services in particular.
| S-EPMC8474855 | biostudies-literature
Project description:ImportanceThe COVID-19 pandemic disrupted medical care, impacting prescribing of opioid analgesics and buprenorphine for opioid use disorder. Understanding these patterns can help address barriers to care.ObjectiveTo evaluate how prescribing of opioid analgesics and buprenorphine for opioid use disorder changed throughout the COVID-19 pandemic among both new and existing patients.Design, setting, and participantsIn this cross-sectional study, use of opioid analgesics and buprenorphine for opioid use disorder from March 18 to September 1, 2020, was projected using a national database of retail prescriptions from January 1, 2018, to March 3, 2020. Actual prescribing was compared with projected levels for all, existing, and new patients.ExposuresThe data include prescriptions to patients independent of insurance status or type and cover 90% of retail prescriptions, 70% of mail-order prescriptions, and 70% of nursing home prescriptions.Main outcomes and measuresPrescriptions for opioid analgesics and buprenorphine for opioid use disorder. Outcomes included total number of prescriptions, total morphine milligram equivalents, mean morphine milligram equivalents per prescription, mean dispensed units per prescription, and number of patients filling prescriptions.ResultsA total of 452 691 261 prescriptions for opioid analgesics and buprenorphine for opioid use disorder were analyzed for 90 420 353 patients (50 921 535 female patients [56%]; mean [SD] age, 49 [20] years). From March 18 to May 19, 2020, 1877 million total morphine milligram equivalents of opioid analgesics were prescribed weekly vs 1843 million projected, a ratio of 102% (95% prediction interval [PI], 94%-111%; P = .71). The weekly number of opioid-naive patients receiving opioids was 370 051 vs 564 929 projected, or 66% of projected (95% PI, 63%-68%; P < .001). Prescribing of buprenorphine was as projected for existing patients, while the number of new patients receiving buprenorphine weekly was 9865 vs 12 008 projected, or 82% (95% PI, 76%-88%; P < .001). From May 20 to September 1, 2020, opioid prescribing for new patients returned to 100% of projected (95% PI, 96%-104%; P = .95), while the number of new patients receiving buprenorphine weekly was 10 436 vs 11 613 projected, or 90% (95% PI, 83%-97%; P = .009).Conclusions and relevanceIn this cross-sectional study, existing patients receiving opioid analgesics and buprenorphine for opioid use disorder generally maintained access to these medications during the COVID-19 pandemic. Opioid prescriptions for opioid-naive patients decreased briefly and then rebounded, while initiation of buprenorphine remained at a low rate through August 2020. Reductions in treatment entry may be associated with increased overdose deaths.
| S-EPMC8050741 | biostudies-literature
Project description:BackgroundMethamphetamine use is common among persons with opioid use disorder. This study evaluated associations between methamphetamine use and treatment with agonist medications for opioid use disorder (MOUD, specifically buprenorphine, and/or methadone) in U.S. rural communities.MethodsThe Rural Opioid Initiative (ROI) is a consortium spanning 10 states and 65 rural counties that included persons who reported past 30-day use of opioids and/or injection drug use between 1/2018 and 3/2020. Analyses were restricted to participants who had ever used opioids and had data on past 30-day methamphetamine use. Multivariable models examined the relationship between methamphetamine use and utilization of agonist MOUD.ResultsAmong 2899 participants, 2179 (75.2%) also reported recent methamphetamine use. Persons with methamphetamine use compared to those without were younger, more likely to have injected drugs, be unhoused, criminal justice involved, and less likely to have health insurance. Adjusted for age, sex, race, and study site, recent methamphetamine use was associated with lower relative odds of past 30-day methadone treatment (aOR=0.66; 95% CI: 0.45-0.99) and fewer methadone treatment days (aIRR=0.76; 0.57-0.99), but not past 30-day buprenorphine receipt (aOR=0.90; 0.67-1.20), buprenorphine treatment days in past 6 months: aIRR=0.88; 0.69-1.12) or perceived inability to access buprenorphine (aOR=1.12; 0.87-1.44) or methadone (aOR=1.06; 0.76-1.48).ConclusionMethamphetamine use is common among persons who use opioids in rural U.S. areas and negatively associated with current treatment and retention on methadone but not buprenorphine. Future studies should examine reasons for this disparity and reduce barriers to methadone for persons who use opioids and methamphetamine.
| S-EPMC10599300 | biostudies-literature
Project description:BACKGROUND:Prescription opioid use is greater among people living with HIV (PLWH), yet little is known about the prevalence of specific types of high-risk use among these individuals. SETTING:We analyzed clinical and demographic data from the HIV Research Network and prescribing data from Medicaid for noncancer patients seeking HIV treatment at 4 urban clinics between 2006 and 2010. METHODS:HIV Research Network patients were included in the analytic sample if they received at least one incident opioid prescription. We examined 4 measures of high-risk opioid use: (1) high daily dosage; (2) early refills; (3) overlapping prescriptions; and (4) multiple prescribers. RESULTS:Of 4605 eligible PLWH, 1814 (39.4%) received at least one incident opioid prescription during follow-up. The sample was 61% men and 62% African American with a median age of 44.5 years. High-risk opioid use occurred among 30% of incident opioid users (high daily dosage: 7.9%; early refills: 15.9%; overlapping prescriptions: 16.4%; and multiple prescribers: 19.7%). About half of the cumulative incidence of high-risk use occurred within 1 year of receiving an opioid prescription. After adjusting for study site, high-risk opioid use was greater among patients with injection drug use as an HIV risk factor [adjusted hazard ratio (aHR) = 1.39, 95% confidence interval: 1.11 to 1.74], non-Hispanic whites [aHR = 1.61, (1.21 to 2.14)], patients age 35-45 [aHR = 1.94, (1.33 to 2.80)] and 45-55 [aHR = 1.84, (1.27 to 2.67)], and patients with a diagnosis of chronic pain [aHR = 1.32, (1.03 to 1.70)]. CONCLUSIONS:A large proportion of PLWH received opioid prescriptions, and among these opioid recipients, high-risk opioid use was common. High-risk use patterns often occurred within the first year, suggesting this is a critical time for intervention.
| S-EPMC5997528 | biostudies-literature