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Reports of rising use of fentanyl in contemporary Brazil is of concern, but a US-like crisis may still be averted

Bastos, Francisco I.; Krawczyk, Noa
SCOPUS:85163163376
ISSN: 2667-193x
CID: 5548632

Pandemic telehealth flexibilities for buprenorphine treatment: a synthesis of evidence and policy implications for expanding opioid use disorder care in the United States

Krawczyk, Noa; Rivera, Bianca D; King, Carla; Dooling, Bridget C E
Buprenorphine is a highly effective treatment for opioid use disorder (OUD) and a critical tool for addressing the worsening US overdose crisis. However, multiple barriers to treatment-including stringent federal regulations-have historically made this medication hard to reach for many who need it. In 2020, under the COVID-19 public health emergency, federal regulators substantially changed access to buprenorphine by allowing prescribers to initiate patients on buprenorphine via telehealth without first evaluating them in person. As the public health emergency has been set to expire in May of 2023, Congress and federal agencies can leverage extensive evidence from studies conducted during the wake of the pandemic to make evidence-based decisions on the regulation of buprenorphine going forward. To aid policy makers, this narrative review synthesizes and interprets peer-reviewed research on the effect of buprenorphine flexibilities on the uptake and implementation of telehealth, and its impact on OUD patient and prescriber experiences, access to treatment, and health outcomes. Overall, our review finds that many prescribers and patients took advantage of telehealth, including the audio-only option, with a wide range of benefits and few downsides. As a result, federal regulators-including agencies and Congress-should continue nonrestricted use of telehealth for buprenorphine initiation.
PMID: 38145115
ISSN: 2976-5390
CID: 5623452

Strategies to support substance use disorder care transitions from acute-care to community-based settings: A Scoping review and typology

Krawczyk, Noa; Rivera, Bianca D; Chang, Ji E; Grivel, Margaux; Chen, Yu-Heng; Nagappala, Suhas; Englander, Honora; McNeely, Jennifer
BACKGROUND/UNASSIGNED:Acute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies. METHODS/UNASSIGNED:We searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000-2021 that studied interventions linking SUD patients from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research. RESULTS/UNASSIGNED:Forty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) followed by alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre- and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care. CONCLUSIONS/UNASSIGNED:Strategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.
PMID: 37162840
CID: 5599082

Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties

Fink, David S; Keyes, Katherine M; Branas, Charles; Cerdá, Magdalena; Gruenwald, Paul; Hasin, Deborah
BACKGROUND AND AIMS:Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions. DESIGN:Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data. SETTING:United States. CASES:A total of 711 447 drug overdose deaths. MEASUREMENTS:We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing). FINDINGS:Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties. CONCLUSIONS:In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.
PMCID:10175115
PMID: 36606567
ISSN: 1360-0443
CID: 5524482

Outcome class imbalance and rare events: An underappreciated complication for overdose risk prediction modeling

Cartus, Abigail R; Samuels, Elizabeth A; Cerdá, Magdalena; Marshall, Brandon D L
BACKGROUND AND AIMS:Low outcome prevalence, often observed with opioid-related outcomes, poses an underappreciated challenge to accurate predictive modeling. Outcome class imbalance, where non-events (i.e. negative class observations) outnumber events (i.e. positive class observations) by a moderate to extreme degree, can distort measures of predictive accuracy in misleading ways, and make the overall predictive accuracy and the discriminatory ability of a predictive model appear spuriously high. We conducted a simulation study to measure the impact of outcome class imbalance on predictive performance of a simple SuperLearner ensemble model and suggest strategies for reducing that impact. DESIGN, SETTING, PARTICIPANTS:Using a Monte Carlo design with 250 repetitions, we trained and evaluated these models on four simulated data sets with 100 000 observations each: one with perfect balance between events and non-events, and three where non-events outnumbered events by an approximate factor of 10:1, 100:1, and 1000:1, respectively. MEASUREMENTS:We evaluated the performance of these models using a comprehensive suite of measures, including measures that are more appropriate for imbalanced data. FINDINGS:Increasing imbalance tended to spuriously improve overall accuracy (using a high threshold to classify events vs non-events, overall accuracy improved from 0.45 with perfect balance to 0.99 with the most severe outcome class imbalance), but diminished predictive performance was evident using other metrics (corresponding positive predictive value decreased from 0.99 to 0.14). CONCLUSION:Increasing reliance on algorithmic risk scores in consequential decision-making processes raises critical fairness and ethical concerns. This paper provides broad guidance for analytic strategies that clinical investigators can use to remedy the impacts of outcome class imbalance on risk prediction tools.
PMCID:10175167
PMID: 36683137
ISSN: 1360-0443
CID: 5524502

A Systematic Review of Systems Science Approaches to Understand and Address Domestic and Gender-Based Violence

Tracy, Melissa; Chong, Li Shen; Strully, Kate; Gordis, Elana; Cerdá, Magdalena; Marshall, Brandon D L
PURPOSE/UNASSIGNED:We aimed to synthesize insights from systems science approaches applied to domestic and gender-based violence. METHODS/UNASSIGNED:We conducted a systematic review of systems science studies (systems thinking, group model-building, agent-based modeling [ABM], system dynamics [SD] modeling, social network analysis [SNA], and network analysis [NA]) applied to domestic or gender-based violence, including victimization, perpetration, prevention, and community responses. We used blinded review to identify papers meeting our inclusion criteria (i.e., peer-reviewed journal article or published book chapter that described a systems science approach to domestic or gender-based violence, broadly defined) and assessed the quality and transparency of each study. RESULTS/UNASSIGNED:Our search yielded 1,841 studies, and 74 studies met our inclusion criteria (45 SNA, 12 NA, 8 ABM, and 3 SD). Although research aims varied across study types, the included studies highlighted social network influences on risks for domestic violence, clustering of risk factors and violence experiences, and potential targets for intervention. We assessed the quality of the included studies as moderate, though only a minority adhered to best practices in model development and dissemination, including stakeholder engagement and sharing of model code. CONCLUSIONS/UNASSIGNED:Systems science approaches for the study of domestic and gender-based violence have shed light on the complex processes that characterize domestic violence and its broader context. Future research in this area should include greater dialogue between different types of systems science approaches, consideration of peer and family influences in the same models, and expanded use of best practices, including continued engagement of community stakeholders. SUPPLEMENTARY INFORMATION/UNASSIGNED:The online version contains supplementary material available at 10.1007/s10896-023-00578-8.
PMCID:10213598
PMID: 37358982
ISSN: 0885-7482
CID: 5524542

Changing adolescent activity patterns and the correlation of self-esteem and externalizing mental health symptoms across time: results from the USA from 1991 through 2020

Kreski, Noah T; Askari, Melanie S; Cerdá, Magdalena; Chen, Qixuan; Hasin, Deborah S; Martins, Silvia S; Mauro, Pia M; Olfson, Mark; Keyes, Katherine M
BACKGROUND:Common adolescent psychiatric symptoms cluster into two dominant domains: internalizing and externalizing. Both domains are linked to self-esteem, which serves as a protective factor against a wide range of internalizing and externalizing problems. This study examined trends in US adolescents' self-esteem and externalizing symptoms, and their correlation, by sex and patterns of time use. METHODS:= 338 896 adolescents, grades:8/10/12, years:1991-2020), we generated six patterns of time use using latent profile analysis with 17 behavior items (e.g. sports participation, parties, paid work). Groups were differentiated by high/low engagement in sports and either paid work or high/low peer socialization. Within each group, we mapped annual, sex-stratified means of (and correlation between) self-esteem and externalizing factors. We also examined past-decade rates of change for factor means using linear regression and mapped proportions with top-quartile levels of poor self-esteem, externalizing symptoms, or both. RESULTS:We found consistent increases in poor self-esteem, decreases in externalizing symptoms, and a positive correlation between the two across nearly all activity groups. We also identified a relatively constant proportion of those with high levels of both in every group. Increases in poor self-esteem were most pronounced for female adolescents with low levels of socializing, among whom externalizing symptoms also increased. CONCLUSIONS:Rising trends in poor self-esteem are consistent across time use groups, as is the existence of a group facing poor self-esteem and externalizing symptoms. Effective interventions for adolescents' poor self-esteem/co-occurring symptoms are needed broadly, but especially among female adolescents with low peer socialization.
PMID: 37183659
ISSN: 1469-8978
CID: 5524532

Racial differences in COVID-19 severity associated with history of substance use disorders and overdose: Findings from multi-site electronic health records in New York City

Allen, Bennett; Basaraba, Cale; Corbeil, Thomas; Rivera, Bianca; Levin, Frances R; Martinez, Diana M; Schultebraucks, Katharina; Henry, Brandy F; Pincus, Harold A; Arout, Caroline; Krawczyk, Noa
Substance use disorders (SUD) are associated with increased risk of worse COVID-19 outcomes. Likewise, racial/ethnic minority patients experience greater risk of severe COVID-19 disease compared to white patients. Providers should understand the role of race and ethnicity as an effect modifier on COVID-19 severity among individuals with SUD. This retrospective cohort study assessed patient race/ethnicity as an effect modifier of the risk of severe COVID-19 disease among patients with histories of SUD and overdose. We used merged electronic health record data from 116,471 adult patients with a COVID-19 encounter between March 2020 and February 2021 across five healthcare systems in New York City. Exposures were patient histories of SUD and overdose. Outcomes were risk of COVID-19 hospitalization and subsequent COVID-19-related ventilation, acute kidney failure, sepsis, and mortality. Risk factors included patient age, sex, and race/ethnicity, as well as medical comorbidities associated with COVID-19 severity. We tested for interaction between SUD and patient race/ethnicity on COVID-19 outcomes. Findings showed that Non-Hispanic Black, Hispanic/Latino, and Asian/Pacific Islander patients experienced a higher prevalence of all adverse COVID-19 outcomes compared to non-Hispanic white patients. Past-year alcohol (OR 1.24 [1.01-1.53]) and opioid use disorders (OR 1.91 [1.46-2.49]), as well as overdose history (OR 4.45 [3.62-5.46]), were predictive of COVID-19 mortality, as well as other adverse COVID-19 outcomes. Among patients with SUD, significant differences in outcome risk were detected between patients of different race/ethnicity groups. Findings indicate that providers should consider multiple dimensions of vulnerability to adequately manage COVID-19 disease among populations with SUDs.
PMCID:10155467
PMID: 37146730
ISSN: 1096-0260
CID: 5472432

COVID-19 complications among patients with opioid use disorder: A retrospective cohort study across five major NYC hospital systems

Krawczyk, Noa; Rivera, Bianca D; Basaraba, Cale; Corbeil, Thomas; Allen, Bennett; Schultebraucks, Katharina; Henry, Brandy F; Pincus, Harold A; Levin, Frances R; Martinez, Diana
BACKGROUND AND AIMS/OBJECTIVE:Individuals with opioid use disorder (OUD) suffer disproportionately from COVID-19. To inform clinical management of OUD patients, research is needed to identify characteristics associated with COVID-19 progression and death among this population. We aimed to investigate the role of OUD and specific comorbidities on COVID-19 progression among hospitalized OUD patients. DESIGN/METHODS:Retrospective cohort study of merged electronic health records (EHR) from five large private health systems SETTING: New York City, New York, USA, 2011-2021 PARTICIPANTS: Adults with a COVID-19 encounter and OUD or opioid overdose diagnosis between March 2020-February 2021 MEASUREMENTS: Primary exposure included diagnosis of OUD/opioid overdose. Risk factors included age, sex, race/ethnicity and common medical, substance use and psychiatric co-morbidities known to be associated with COVID-19 severity. Outcomes included COVID-19 hospitalization and subsequent intubation, acute kidney failure, severe sepsis and death. FINDINGS/RESULTS:Of 110,917 COVID-19+ adults, 1.17% were ever diagnosed with OUD/opioid overdose. OUD patients had higher risk of COVID-19 hospitalization (adjusted risk ratio [aRR]: 1.40 [95% confidence interval (CI) 1.33, 1.47]), intubation (adjusted aood ratio [aOR]: 2.05 [95% CI 1.74, 2.42]), kidney failure (aRR: 1.51 [95% CI 1.34, 1.70)), sepsis (aRR: 2.30 [95% CI 1.88, 2.81]), and death (aRR: 2.10 [95% CI 1.84, 2.40)]. Among hospitalized OUD patients, risks for COVID-19 outcomes included being male; older; of a race/ethnicity other than white, Black or Hispanic; and having co-morbid chronic kidney disease, diabetes, obesity or cancer. Protective factors included having asthma, hepatitis-C, and chronic pain. CONCLUSIONS:Opioid use disorder patients appears to have a substantial risk for COVID-19-associated morbidity and mortality, with particular comorbidities and treatments potentially moderating this risk.
PMID: 36459420
ISSN: 1360-0443
CID: 5383762

Sensitivity of Medicaid Claims Data for Identifying Opioid Use Disorder in Patients Admitted to 6 New York City Public Hospitals

McNeely, Jennifer; Gallagher, Shane D; Mazumdar, Medha; Appleton, Noa; Fernando, Jasmine; Owens, Elizabeth; Bone, Emmeline; Krawczyk, Noa; Dolle, Johanna; Marcello, Roopa Kalyanaraman; Billings, John; Wang, Scarlett
OBJECTIVES:Behavioral health diagnoses are frequently underreported in administrative health data. For a pragmatic trial of a hospital addiction consult program, we sought to determine the sensitivity of Medicaid claims data for identifying patients with opioid use disorder (OUD). METHODS:A structured review of electronic health record (EHR) data was conducted to identify patients with OUD in 6 New York City public hospitals. Cases selected for review were adults admitted to medical/surgical inpatient units who received methadone or sublingual buprenorphine in the hospital. For cases with OUD based on EHR review, we searched for the hospitalization in Medicaid claims data and examined International Classification of Diseases, Tenth Revision discharge diagnosis codes to identify opioid diagnoses (OUD, opioid poisoning, or opioid-related adverse events). Sensitivity of Medicaid claims data for capturing OUD hospitalizations was calculated using EHR review findings as the reference standard measure. RESULTS:Among 552 cases with OUD based on EHR review, 465 (84.2%) were found in the Medicaid claims data, of which 418 (89.9%) had an opioid discharge diagnosis. Opioid diagnoses were the primary diagnosis in 49 cases (11.7%), whereas in the remainder, they were secondary diagnoses. CONCLUSION:In this sample of hospitalized patients receiving OUD medications, Medicaid claims seem to have good sensitivity for capturing opioid diagnoses. Although the sensitivity of claims data may vary, it can potentially be a valuable source of information about OUD patients.
PMCID:10110762
PMID: 37267184
ISSN: 1935-3227
CID: 5540912