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We aimed to estimate absenteeism due to substance use disorder among full-time employees.We used the 2018 National Survey on Drug Use and Health to identify a sample of individuals employed full time. We used a survey-weighted multivariable negative binomial model to evaluate the association between absenteeism and type of substance use disorder controlling for available demographic information.In the adjusted model, we estimated that opioid use without a disorder had the highest absenteeism for use, and polysubstance use disorder had the highest absenteeism among use disorders. In a hypothetical firm of 10,000 employees, we estimate $232,000 of lost wage value annually.Substance use is associated with absenteeism and presents a compelling argument for employers to promote programs that support treatment for employees and reduce downstream costs associated with absenteeism and turnover.

Purpose Metamodels are simplified approximations of more complex models that can be used as surrogates for the original models. Challenges in using metamodels for policy analysis arise when there are multiple correlated outputs of interest. We develop a framework for metamodeling with policy simulations to accommodate multivariate outcomes. Methods: We combine 2 algorithm adaptation methods—multitarget stacking and regression chain with maximum correlation—with different base learners including linear regression (LR), elastic net (EE) with second-order terms, Gaussian process regression (GPR), random forests (RFs), and neural networks. We optimize integrated models using variable selection and hyperparameter tuning. We compare the accuracy, efficiency, and interpretability of different approaches. As an example application, we develop metamodels to emulate a microsimulation model of testing and treatment strategies for hepatitis C in correctional settings. Results Output variables from the simulation model were correlated (average ρ = 0.58). Without multioutput algorithm adaptation methods, in-sample fit (measured by R2) ranged from 0.881 for LR to 0.987 for GPR. The multioutput algorithm adaptation method increased R2 by an average 0.002 across base learners. Variable selection and hyperparameter tuning increased R2 by 0.009. Simpler models such as LR, EE, and RF required minimal training and prediction time. LR and EE had advantages in model interpretability, and we considered methods for improving the interpretability of other models. Conclusions In our example application, the choice of base learner had the largest impact on R2; multioutput algorithm adaptation and variable selection and hyperparameter tuning had a modest impact. Although advantages and disadvantages of specific learning algorithms may vary across different modeling applications, our framework for metamodeling in policy analyses with multivariate outcomes has broad applicability to decision analysis in health and medicine.

Medications for opioid use disorder (MOUD) are shown to reduce opioid use and the risk of overdose. People with opioid use disorder (OUD) who exit inpatient medically managed withdrawal programs (detox) without initiating MOUD and linking to outpatient care have high rates of overdose. While detox encounters provide a theoretical opportunity for MOUD initiation, this is not ubiquitous in the United States. We used simulation modeling to estimate the population-level health effects and cost-effectiveness of a policy encouraging MOUD initiation during inpatient detox encounters.We employed a dynamic population state-transition model to evaluate the effectiveness and cost-effectiveness of using detox programs as venues for initiating MOUD in Massachusetts, United States. We compared standard of care, where no detox patients initiate MOUD or link to outpatient MOUD providers, to strategies of offering MOUD to detox patients and linking those patients to outpatient MOUD.Budgetary impact to the Massachusetts health-care sector, incremental cost-effectiveness ratios (ICER) and total counts and percentage differences of fatal overdoses prevented.Initiating MOUD in detox with perfect linkage to outpatient MOUD would reduce fatal overdoses by 4.5% [95% confidence interval (CI) = 2.3-5.9], at an ICER of $56 000 per quality-adjusted life-year (QALY) gained, compared with the standard of care. With moderate linkage, fatal overdoses would be reduced by 2.3% (95% CI= 1.2-3.1) with an ICER of $78 500 per QALY gained, compared with standard of care. Budgetary increase to Massachusetts health-care spending ranged from 0.5-1%.A simulation model indicates that initiation of medications for opioid use disorder and linkage policies among detox patients in Massachusetts, USA could prevent fatal opioid overdoses in the opioid use disorder population and would be cost-effective from a health-care sector perspective.

Pre-exposure prophylaxis (PrEP) decreases human immunodeficiency virus (HIV) acquisition among persons who inject drugs (PWID); however, its uptake has been suboptimal. We explored HIV risk perceptions and PrEP interest among drug detoxification center patients in the context of the ongoing opioid overdose epidemic. We conducted in-depth interviews of patients (

Early identification of patients at risk for severe coronavirus disease 2019 (COVID-19) is crucial for appropriate triage and determination of need for closer monitoring. Few studies have examined laboratory trends in COVID-19 infection and sought to quantify the degree to which laboratory values affect mortality. We conducted a retrospective cohort (n = 407) study of hospitalized patients with COVID-19 early in the course of the pandemic, from March 16th to April 8th, 2020 and compared baseline to repeat laboratory testing 72 hours into admission. The primary outcome was death. We found that rises of 25 mg/L C-reactive protein, 50 units/L lactate dehydrogenase, and 100 ng/mL ferritin were associated with 23%, 28%, and 1% increased odds of death, respectively. In contrast, changes in fibrinogen, D-dimer, white blood cell count, and creatinine in the first few days of hospital admission were not associated with mortality. These quantitative findings may assist clinicians in determining the risk of potential clinical decline in patients with COVID-19 and influence early management.

Academic medical centers could play an important role in increasing access to and uptake of SARS-CoV-2 vaccines, especially in Black and Latino communities that have been disproportionately affected by the pandemic. This article describes the vaccination program developed by the Boston Medical Center (BMC) health system (New England's largest safety-net health system), its affiliated community health centers (CHCs), and community partners. The program was based on a conceptual framework for community interventions and aimed to increase equitable access to vaccination in the hardest-hit communities through community-based sites in churches and community centers, mobile vaccination events, and vaccination on the BMC campus. Key strategies included a communication campaign featuring trusted messengers, a focus on health equity, established partnerships with community leaders and CHCs, and strong collaboration with local health departments and the Commonwealth of Massachusetts to ensure equitable allocation of the vaccine supply. Process factors involved the use of robust analytics relying on the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI). The vaccination program administered 109 938 first doses, with 94 703 (86%) given at community sites and 2466 (2%) given at mobile sites. Mobile vaccination events were key in reaching younger people living in locations with the highest SVIs. Challenges included the need for a robust operational infrastructure and mistrust of the health system given the long history of economic disinvestment in the surrounding community. The BMC model could serve as a blueprint for other medical centers interested in implementing programs aimed at increasing vaccine uptake during a pandemic and in developing an infrastructure to address other health-related disparities.

Background. Inequities in COVID-19 vaccine coverage may contribute to future disparities in morbidity and mortality between Massachusetts (MA) communities. Methods. We obtained public-use data on residents vaccinated and boosted by ZIP code (and by age group: 5-19, 20-39, 40-64, 65+) from MA Department of Public Health. We constructed population denominators for postal ZIP codes by aggregating Census-tract population estimates from the 2015-2019 American Community Survey. We excluded non-residential ZIP codes and the smallest ZIP codes containing 1% of the state's population. We mapped variation in ZIP-code level primary series vaccine and booster coverage and used regression models to evaluate the association of these measures with ZIP-code-level socioeconomic and demographic characteristics. Because age is strongly associated with COVID-19 severity and vaccine access/uptake, we assessed whether observed socioeconomic and racial inequities persisted after adjusting for age composition and plotted age-specific vaccine and booster coverage by deciles of ZIP-code characteristics. Results. We analyzed data on 418 ZIP codes. We observed wide geographic variation in primary series vaccination and booster rates, with marked inequities by ZIP-code-level education, median household income, essential worker share, and racial-ethnic composition. In age-stratified analyses, primary series vaccine coverage was very high among the elderly. However, we found large inequities in vaccination rates among younger adults and children, and very large inequities in booster rates for all age groups. In multivariable regression models, each 10 percentage point increase in "percent college educated" was associated with a 5.0 percentage point increase in primary series vaccine coverage and a 4.9 percentage point increase in booster coverage. Although ZIP codes with higher "percent Black/Latino/Indigenous" and higher "percent essential workers" had lower vaccine coverage, these associations became strongly positive after adjusting for age and education, consistent with high demand for vaccines among Black/Latino/Indigenous and essential worker populations. Conclusion. One year into MA's vaccine rollout, large disparities in COVID-19 primary series vaccine and booster coverage persist across MA ZIP codes.

Background A health department survey revealed nearly half employ laboratory-based HIV and HCV testing (LBT) over rapid testing (RT) in nonhospital settings such as drug detoxification centers. LBT has higher sensitivity for acute HIV infection compared to RT but LBT is not point of care and may result in fewer diagnoses due to loss to follow-up before result delivery. Methods We conducted a randomized trial comparing real-world case notification of RT (Orasure) vs LBT (HIV Combo Ag/Ab EIA, HCV EIA) for HIV and HCV at a drug detoxification center. Primary outcome was receipt of test results within 2 weeks. Results Among 341 individuals screened (11/2016–7/2017), 200 met inclusion criteria; 58% injected drugs and 31% shared needles in the previous 6 months. Of the 200 randomized, 98 received RT and 102 LBT. Among all participants, 0.5% were positive for HIV and 48% for HCV; 96% received test results in the RT arm and 42% in the LBT arm (odds ratio, 28.72; 95% confidence interval, 10.27–80.31). Real-world case notification was 95% and 93% for HIV and HCV RT, respectively, compared to 42% for HIV and HCV LBT. Conclusions RT has higher real-world case notification than LBT at drug detoxification centers. Clinical trials registration: NCT02869776.

BACKGROUND: Federally qualified health centers (FQHCs) serve diverse communities in the United States (U.S.) and could function as important venues to diagnose and treat hepatitis C virus (HCV) infections. OBJECTIVE: To determine HCV testing proportion and factors associated with treatment initiation, and treatment outcomes in a large sample of FQHCs around the U.S. DESIGN: Retrospective cohort study using electronic health records of three hundred and forty-one FQHC clinical sites participating in the OCHIN network in 19 U.S. states. PARTICIPANTS: Adult patients (≥ 18 years of age) seen between January 01, 2012, and June 30, 2017. MAIN MEASURES: HCV testing proportion, stratified by diagnosis of opioid use disorder (OUD); treatment initiation rates; and sustained virologic response (SVR), defined as undetectable HCV RNA 6 months after treatment initiation. KEY RESULTS: Of the 1,508,525 patients meeting inclusion criteria, 88,384 (5.9%) were tested for HCV, and 8694 (9.8%) of individuals tested had reactive results. Of the 6357 with HCV RNA testing, 4092 (64.4%) had detectable RNA. Twelve percent of individuals with chronic HCV and evaluable data initiated treatment. Of those, 87% reached SVR. Having commercial insurance (aOR, 2.11; 95% CI, 1.46–3.05), older age (aOR, 1.07; 95% CI, 1.06–1.09), and being Hispanic/Latino (aOR, 1.87; 95% CI, 1.38–2.53) or Asian/Pacific Islander (aOR, 2.47; 95% CI, 1.46–4.19) were independently associated with higher odds of treatment initiation after multivariable adjustment. In contrast, women (aOR, 0.76; 95% CI, 0.60–0.97) and the uninsured (aOR, 0.15; 95% CI, 0.09–0.25) were less likely to initiate treatment. Only 8% of individuals with chronic HCV were tested for HIV, and 15% of individuals with identified OUD were tested for HCV. CONCLUSIONS: Fewer than 20% of individuals with identified OUD were tested for HCV. SVR was lower than findings in other real-world cohorts. Measures to improve outcomes should be considered with the expansion of HCV management into community clinics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-020-05701-9) contains supplementary material, which is available to authorized users.

Objectives: People with substance use disorders (SUD) are suggested to have higher risk of hospitalization, intubation, or death from coronavirus disease 2019 (COVID-19), although data are mixed. Little is known about other COVID-19-related complications in this group. We compared morbidity and mortality among individuals with and without SUD who were admitted to an urban safety net hospital with COVID-19 early in the pandemic, contemporaneous to other published studies on this subject. Methods: We performed a retrospective study of patients ⩾18 years old admitted with COVID-19 from March 16th to April 8th, 2020. SUD included alcohol, opioid, cocaine, amphetamine, and benzodiazepine use disorders and was identified using diagnostic codes, free text clinical documentation, and urine drug screens. The primary outcome was inpatient mortality. Secondary outcomes included clinical complications (eg, secondary infections, venous thromboembolism) and resource utilization (eg, mechanical ventilation, length of stay). We used multivariable regression to assess the relationship between SUD and mortality. Results: Of 409 patients, the mean age was 56 years and 13.7% had SUD. Those with SUD were more likely to be male, have experienced homelessness, have pulmonary disease or hepatitis C, or use tobacco or cannabis. After multivariable analysis, SUD was not associated with mortality (aOR 1.03; 95% CI, 0.31-3.10). Secondary outcomes were also similar between groups. Conclusions: Our findings suggest that persons with and without SUD have similar COVID-19-related outcomes. Previously reported increased COVID-19 complications may be from medical comorbidities.

Objective To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes, elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness using a racially diverse patient population with high social needs. Materials and Methods Data included 7,102 patients with positive (RT-PCR) severe acute respiratory syndrome coronavirus 2 test at a safety-net system in Massachusetts. Linear and nonlinear classification methods were applied. A score based on a recurrent neural network and a transformer architecture was developed to capture the dynamic evolution of vital signs. Combined with patient characteristics, clinical variables, and hospital occupancy measures, this dynamic vital score was used to train predictive models. Results Hospitalizations can be predicted with an area under the receiver-operating characteristic curve (AUC) of 92% using symptoms, hospital occupancy, and patient characteristics, including social determinants of health. Parsimonious models to predict intensive care, mechanical ventilation, and mortality that used the most recent labs and vitals exhibited AUCs of 92.7%, 91.2%, and 94%, respectively. Early predictive models, using labs and vital signs closer to admission had AUCs of 81.1%, 84.9%, and 92%, respectively. Discussion The most accurate models exhibit racial bias, being more likely to falsely predict that Black patients will be hospitalized. Models that are only based on the dynamic vital score exhibited accuracies close to the best parsimonious models, although the latter also used laboratories. Conclusions This large study demonstrates that COVID-19 severity may accurately be predicted using a score that accounts for the dynamic evolution of vital signs. Further, race, social determinants of health, and hospital occupancy play an important role.

Access to and uptake of evidence-based treatment for substance use disorder, specifically opioid use disorder (OUD), are limited despite the high death toll from drug overdose in the United States in recent years. Patient perceived barriers to evidence-based treatment after completion of short-term inpatient medically managed withdrawal programs (detox) have not been well studied. The purpose of the current study is to elicit patients' perspectives on challenges to transition to treatment, including medications for OUD (MOUD), after detox and potential solutions.We conducted semi-structured interviews (N = 24) at a detox center (2018-2019) to explore patients' perspectives on obstacles to treatment. The study managed the data in NVivo and we used content analysis to identify themes.Patients' characteristics included the following: 54 % male; mean age 37 years; self-identified as White 67 %, Black 13 %, Latinx 8 %, Native Hawaiian/Pacific Islander 4 %, and other 8 %; heroin use in the past 3 months 67 %; and ever injecting drugs 71 %. Patients identified the following barriers: 1) lack of continuity of care; 2) limited number of detox and residential treatment program beds; 3) unstable housing; and 4) lack of options when choosing a treatment pathway. Solutions proposed by participants included: 1) increase low-barrier access to community MOUD; 2) add case managers at the detox center to establish continuity of care after discharge; 3) increase assistance with housing; and 4) encourage patient participation in treatment decisions.Patients identified lack of continuity of care, especially care coordination, as a major barrier to substance use treatment. Increasing treatment utilization, including MOUD, necessitates a multimodal approach to continuity of care, low-barrier access to MOUD, and support to address unstable housing. Patients want care that incorporates options and respect for. individualized preferences and needs.

Introduction There is no widely accepted testing approach for hepatitis C virus infection in correctional settings, and many U.S. prisons do not provide routine testing. The aim of this study was to determine the most effective hepatitis C virus testing strategy in one U.S. state prison and describe the population with reactive testing. Methods A retrospective analysis was performed using individuals entering the Washington State prison system, which routinely offers hepatitis C virus testing, to compare routine opt-out with current recommendations for risk-based and one-time testing for individuals born between 1945 and 1965. Additionally, liver fibrosis stage was characterized using aspartate aminotransferase to platelet ratio index and Fibrosis-4 index. Analyses were conducted in 2017. Results Between 2012 and 2016, a total of 24,567 (83%) individuals were tested for the hepatitis C virus antibody and 4,921 (20%) were reactive (test was positive). There were 2,403 (49%) that had hepatitis C virus RNA testing, with 1,727 (72%) showing chronic infection. Reactive antibody was more prevalent in individuals born between 1945 and 1965 compared with other years (44% vs 17%); however, most cases (72%) were outside of this cohort. Up to 35% of positive reactive tests would be missed with testing targeted by birth cohort and risk behavior. Of chronically infected individuals, 23% had at least moderate liver fibrosis. Conclusions Targeted testing in the Washington State prison system missed a substantial proportion of hepatitis C virus cases; of those with reactive testing, a sizeable proportion of people had at least moderate liver disease, placing them at risk for complications. Routine testing at entry should be considered by U.S. state prisons.

Background and Aims While the United States is in the midst of an overdose epidemic, effective treatments are underutilized and commonly discontinued. Innovations in medication delivery, including an extended-release formulations, have the potential to improve treatment access and reduce discontinuation. We sought to assess extended-release buprenorphine discontinuation among individuals with opioid use disorder (OUD) in a real-world, nationally representative cohort. Setting United States Participants Commercially insured individuals initiating one of four FDA-approved medications for opioid use disorder (MOUD) in 2018: extended-release buprenorphine, extended-release naltrexone, mucosal buprenorphine (mono- or co-formulated with naloxone), or methadone. Measurements Our primary outcome was medication discontinuation, defined as a gap of more than 14 days between the end of one prescription or administration and the subsequent dose. Findings We identified 14,358 individuals initiating MOUD in 2018, including 204 (1%) extended-release buprenorphine, 1,173 (8%) extended-release naltrexone, 12,171 (85%) mucosal buprenorphine, and 810 (6%) methadone initiations. Three months after initiation, 50% (95% confidence interval [CI] 40%-60%) of extended-release buprenorphine, 64% (95% CI 61%-69%) of extended-release naltrexone, 34% (95% CI 33%-35%) of mucosal buprenorphine, and 58% (95% CI 54%-62%) of methadone initiators had discontinued treatment. Conclusions Across all treatment groups, medication discontinuation was high, and in this sample of early adopters with limited follow-up time, we found no evidence that extended-release buprenorphine offered a retention advantage compared to other MOUD in real-world settings. Retention continues to represent a major obstacle to treatment effectiveness, and interventions are needed to address this challenge even as new MOUD formulations become available.

Massachusetts is one of the epicenters of the opioid epidemic and has been severely impacted by injection-related viral and bacterial infections. A recent increase in newly diagnosed human immunodeficiency virus (HIV) infections among persons who inject drugs in the state highlights the urgent need to address and bridge the overlapping epidemics of opioid use disorder (OUD) and injection-related infections. Building on an established relationship between the Massachusetts Department of Public Health and Boston Medical Center, the Infectious Diseases section has contributed to the development and implementation of a cohesive response involving ambulatory, inpatient, emergency department, and community-based services. We describe this comprehensive approach including the rapid delivery of antimicrobials for the prevention and treatment of HIV, sexually transmitted diseases, systemic infections such as endocarditis, bone and joint infections, as well as curative therapy for chronic hepatitis C virus in a manner that is accessible to patients on the addiction-recovery continuum. We also provide an overview of programs that provide access to medications for OUD, harm reduction services including overdose education, and distribution of naloxone. Finally, we outline lessons learned to inform initiatives in other settings., A partnership between Boston Medical Center and the Massachusetts Department of Public Health has informed the development and implementation of comprehensive programs across medical settings to address injection-related infections and substance use disorder.

Policy Points An estimated 700,000 people in the United States have "long COVID," that is, symptoms of COVID-19 persisting beyond three weeks. COVID-19 and its long-term sequelae are strongly influenced by social determinants such as poverty and by structural inequalities such as racism and discrimination. Primary care providers are in a unique position to provide and coordinate care for vulnerable patients with long COVID. Policy measures should include strengthening primary care, optimizing data quality, and addressing the multiple nested domains of inequity.

Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) and buprenorphine decrease HIV acquisition. Between November, 2016 and July, 2017, we surveyed persons (N = 200) at a drug detoxification center to assess their interest in PrEP and in buprenorphine, and to examine factors associated with such interests. Over the previous 6 months, 58% (117/200) injected drugs, 87% (173/200) used opioids, 50% (85/171) had condomless sex. Only 22% (26/117) of persons who injected drugs were aware of PrEP, yet 74% (86/116) and 72% (84/116) were interested in oral or injectable PrEP, respectively. Thirty-eight percent (47/125) of persons not receiving buprenorphine or methadone expressed interest in buprenorphine. After multivariable adjustment, Latinx ethnicity was associated with interest in PrEP (aOR 3.80; 95% CI 1.37–10.53), while male gender (aOR 2.76; 95% CI 1.21–6.34) was associated with interest in buprenorphine. Opportunities exist to implement PrEP and buprenorphine within drug detoxification centers. Clinical trial registration NCT02869776. Clinicaltrials.gov https://clinicaltrials.gov/ct2/show/NCT02869776?term=Sabrina+Assoumou&cond=HIV+HCV&rank=1 .

Background The effectiveness of interleukin-6 inhibitors (IL-6i) in ameliorating coronavirus disease 2019 (COVID-19) remains uncertain. Methods We analyzed data for patients aged ≥18 years admitted with a positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction test at 4 safety-net hospital systems with diverse populations and high rates of medical comorbidities in 3 US regions. We used inverse probability of treatment weighting via machine learning for confounding adjustment by demographics, comorbidities, and disease severity markers. We estimated the average treatment effect, the odds of IL-6i effect on in-hospital mortality from COVID-19, using a logistic marginal structural model. Results Of 516 patients, 104 (20.1%) received IL-6i. Estimate of the average treatment effect adjusted for confounders suggested a 37% reduction in odds of in-hospital mortality in those who received IL-6i compared with those who did not, although the confidence interval included the null value of 1 (odds ratio = 0.63; 95% confidence interval, .29–1.38). A sensitivity analysis suggested that potential unmeasured confounding would require a minimum odds ratio of 2.55 to nullify our estimated IL-6i effect size. Conclusions Despite low precision, our findings suggested a relatively large effect size of IL-6i in reducing the odds of COVID-19–related in-hospital mortality.

Objective The aim of this observational study was to determine the optimal timing of interleukin-6 receptor inhibitor (IL6ri) administration for coronavirus disease 2019 (COVID-19). Methods Patients with COVID-19 were given an IL6ri (sarilumab or tocilizumab) based on iteratively reviewed guidelines. IL6ri were initially reserved for critically ill patients, but after review, treatment was liberalized to patients with lower oxygen requirements. Patients were divided into two groups: those requiring ≤45% fraction of inspired oxygen (FiO2) (termed stage IIB) and those requiring >45% FiO2 (termed stage III) at the time of IL6ri administration. The main outcomes were all-cause mortality, discharge alive from hospital, and extubation. Results A total of 255 COVID-19 patients were treated with IL6ri (149 stage IIB and 106 stage III). Patients treated in stage IIB had lower mortality than those treated in stage III (adjusted hazard ratio (aHR) 0.24, 95% confidence interval (CI) 0.08–0.74). Overall, 218 (85.5%) patients were discharged alive. Patients treated in stage IIB were more likely to be discharged (aHR 1.43, 95% CI 1.06–1.93) and were less likely to be intubated (aHR 0.43, 95% CI 0.24–0.79). Conclusions IL6ri administration prior to >45% FiO2 requirement was associated with improved COVID-19 outcomes. This can guide clinical management pending results from randomized controlled trials.

Background The opioid epidemic has been associated with an increase in hepatitis C virus (HCV) infections. Federally qualified health centers (FQHCs) have a high burden of hepatitis C disease and could serve as venues to enhance testing and treatment. Methods We estimated clinical outcomes and the cost-effectiveness of hepatitis C testing and treatment at US FQHCs using individual-based simulation modeling. We used individual-level data from 57 FQHCs to model 9 strategies, including permutations of HCV antibody testing modality, person initiating testing, and testing approach. Outcomes included life expectancy, quality-adjusted life-years (QALY), hepatitis C cases identified, treated and cured; and incremental cost-effectiveness ratios. Results Compared with current practice (risk-based with laboratory-based testing), routine rapid point-of-care testing initiated and performed by a counselor identified 68% more cases after (nonreflex) RNA testing in the first month of the intervention and led to a 17% reduction in cirrhosis cases and a 22% reduction in liver deaths among those with cirrhosis over a lifetime. Routine rapid testing initiated by a counselor or a clinician provided better outcomes at either lower total cost or at lower cost per QALY gained, when compared with all other strategies. Findings were most influenced by the proportion of patients informed of their anti-HCV test results. Conclusions Routine anti-HCV testing followed by prompt RNA testing for positives is recommended at FQHCs to identify infections. If using dedicated staff or point-of-care testing is not feasible, then measures to improve immediate patient knowledge of antibody status should be considered.

Background: The impact of interleukin-6 receptor inhibitors (IL6ri) on Coronavirus disease 2019 (Covid-19) outcomes remains uncertain. Methods: Patients with severe and critical Covid-19 were given an IL6ri (sarilumab or tocilizumab) based on pragmatic and iteratively reviewed guidelines at a safety net hospital with a diverse population. IL6ri were initially reserved for critically ill patients, but after review, treatment was liberalized to patients requiring >4 liters/minute of oxygen or having an alveolar-arterial gradient >50 mmHg and elevated inflammatory markers (C-reactive protein >100 mg/L or lactate dehydrogenase >450 units/L). Patients were divided into 2 groups, those requiring ≤ 45% fraction of inspired oxygen (FiO2) (termed stage IIB) and those requiring >45% FiO2 (termed stage III) at the time of IL6ri administration. Main outcomes were all-cause mortality, discharge alive from hospital, and extubation. Findings: Prior to treatment, 255 consecutive Covid-19 patients treated with IL6ri (149 stage IIB and 106 stage III) had hypoxemia requiring supplemental oxygen and had elevated inflammatory markers. Patients treated in stage IIB had lower mortality than the stage III group (adjusted hazard ratio [aHR]: 0.20; 95% confidence interval [CI] 0.07-0.60). Overall, 218 (85.5%) patients were discharged alive. Patients treated in stage IIB were more likely to be discharged (aHR: 2.04; 95% CI 1.53 – 2.73) and to have intubation-free survival (HR: 0.39; 95% CI: 0.20-0.74). Interpretation: Our finding that early IL6ri were associated with reduced mortality from severe Covid-19 can guide current clinical management while we await definitive results from randomized controlled trials. Funding Statement: This work was supported by National Institutes of Health grants K24-AI145661 and 5T32AI052074-13. Declaration of Interests: None to declare Ethics Approval Statement: All activities associated with this project were approved by the Boston University Medical Center Institutional Review Board (IRB)

High hepatitis C virus (HCV) rates have been reported in young people who inject drugs (PWID). We evaluated the clinical benefit and cost-effectiveness of testing among youth seen in communities with a high overall number of reported HCV cases.We developed a decision analytic model to project quality-adjusted life years (QALYs), costs (2016 US$), and incremental cost-effectiveness ratios (ICERs) of 9 strategies for 1-time testing among 15- to 30-year-olds seen at urban community health centers. Strategies differed in 3 ways: targeted vs routine testing, rapid finger stick vs standard venipuncture, and ordered by physician vs by counselor/tester using standing orders. We performed deterministic and probabilistic sensitivity analyses (PSA) to evaluate uncertainty.Compared to targeted risk-based testing (current standard of care), routine testing increased the lifetime medical cost by $80 and discounted QALYs by 0.0013 per person. Across all strategies, rapid testing provided higher QALYs at a lower cost per QALY gained and was always preferred. Counselor-initiated routine rapid testing was associated with an ICER of $71000/QALY gained. Results were sensitive to offer and result receipt rates. Counselor-initiated routine rapid testing was cost-effective (ICER$100000/QALY) unless the prevalence of PWID was0.59%, HCV prevalence among PWID was16%, reinfection rate was26 cases per 100 person-years, or reflex confirmatory testing followed all reactive venipuncture diagnostics. In PSA, routine rapid testing was the optimal strategy in 90% of simulations.Routine rapid HCV testing among 15- to 30-year-olds may be cost-effective when the prevalence of PWID is0.59%.

Background Hepatitis C virus (HCV) infection is increasingly prevalent among people who inject drugs (PWID) in the context of the current US opioid crisis. Although curative therapy is available and recommended as a public health strategy, few PWID have been treated. We explore PWID narratives that explain why they have not sought HCV treatment or decided against starting it. We then compare these narratives to evidence-based and guideline-concordant information to better enable health, social service, harm reduction providers, PWID, and other stakeholders to dispel misconceptions and improve HCV treatment uptake in this vulnerable population. Methods We recruited HIV-uninfected PWID (n = 33) through community-based organizations (CBOs) to participate in semi-structured, in-depth qualitative interviews on topics related to overall health, access to care, and knowledge and interest in specific HIV prevention methods. Results In interviews, HCV transmission and delaying or forgoing HCV treatment emerged as important themes. We identified three predominant narratives relating to delaying or deferring HCV treatment among PWID: (1) lacking concern about HCV being serious or urgent enough to require treatment, (2) recognizing the importance of treatment but nevertheless deciding to delay treatment, and (3) perceiving that clinicians and insurance companies recommend that patients who currently use or inject drugs should delay treatment. Conclusions Our findings highlight persistent beliefs among PWID that hinder HCV treatment utilization. Given the strong evidence that treatment improves individual health regardless of substance use status while also decreasing HCV transmission in the population, efforts are urgently needed to counter the predominant narratives identified in our study. We provide evidence-based, guideline-adherent information that counters the identified narratives in order to help individuals working with PWID to motivate and facilitate treatment access and uptake. An important strategy to improve HCV treatment initiation among PWID could involve disseminating guideline-concordant counternarratives to PWID and the providers who work with and are trusted by this population.

Background The US opioid crisis is associated with a surge in hepatitis C virus (HCV) infections among persons who inject drugs (PWID), and yet the uptake of HCV curative therapy among PWID is low. Purpose To explore potential solutions to overcome barriers to HCV treatment uptake among individuals at a drug detoxification center. Methods Qualitative study with in-depth interviews and thematic analysis of coded data. Results Patients (N = 24) had the following characteristics: mean age 37 years; 67 % White, 13 % Black, 8 % Latinx, 4 % Native Hawaiian/Pacific Islander, 8 % other; 71 % with a history of injecting drugs. Most patients with a positive HCV test had not pursued treatment due to few perceived immediate consequences from a positive test and possible complications arising in a distant poorly imagined future. Active substance use was a major barrier to HCV treatment uptake because of disruptions to routine activities. In addition, re-infection after treatment was perceived as inevitable. Patients had suggestions to improve HCV treatment uptake: high-intensity wraparound care characterized by frequent interactions with supportive services; same-day/walk-in options; low-barrier access to substance use treatment; assistance with navigating the health care system; attention to immediate needs, such as housing; and the opportunity to select an approach that best fits individual circumstances. Conclusions Active substance use was a major barrier to treatment initiation. To improve uptake, affected individuals recommended that HCV treatment be integrated within substance use treatment programs. Such a model should incorporate patient education within low-barrier, high-intensity wraparound care, tailored to patients’ needs and priorities.

Importance The United States is experiencing a crisis of opioid overdose. In response, the US Department of Health and Human Services has defined a goal to reduce overdose mortality by 40% by 2022. Objective To identify specific combinations of 3 interventions (initiating more people to medications for opioid use disorder [MOUD], increasing 6-month retention with MOUD, and increasing naloxone distribution) associated with at least a 40% reduction in opioid overdose in simulated populations. Design, Setting, and Participants This decision analytical model used a dynamic population-level state-transition model to project outcomes over a 2-year horizon. Each intervention scenario was compared with the counterfactual of no intervention in simulated urban and rural communities in Massachusetts. Simulation modeling was used to determine the associations of community-level interventions with opioid overdose rates. The 3 examined interventions were initiation of more people to MOUD, increasing individuals’ retention with MOUD, and increasing distribution of naloxone. Data were analyzed from July to November 2020. Main Outcomes and Measures Reduction in overdose mortality, medication treatment capacity needs, and naloxone needs. Results No single intervention was associated with a 40% reduction in overdose mortality in the simulated communities. Reaching this goal required use of MOUD and naloxone. Achieving a 40% reduction required that 10% to 15% of the estimated OUD population not already receiving MOUD initiate MOUD every month, with 45% to 60%% retention for at least 6 months, and increased naloxone distribution. In all feasible settings and scenarios, attaining a 40% reduction in overdose mortality required that in every month, at least 10% of the population with OUD who were not currently receiving treatment initiate an MOUD. Conclusions and Relevance In this modeling study, only communities with increased capacity for treating with MOUD and increased MOUD retention experienced a 40% decrease in overdose mortality. These findings could provide a framework for developing community-level interventions to reduce opioid overdose death.

Background Hepatitis C virus (HCV) testing and treatment uptake in prisons remains low. We aimed to estimate clinical outcomes, cost-effectiveness (CE), and budgetary impact (BI) of HCV testing and treatment in United States (US) prisons or linkage to care at release. Methods We used individual-based simulation modeling with healthcare and Department of Corrections (DOC) perspectives for CE and BI analyses, respectively. We simulated a US prison cohort at entry using published data and Washington State DOC individual-level data. We considered permutations of testing (risk factor based, routine at entry or at release, no testing), treatment (if liver fibrosis stage ≥F3, for all HCV infected or no treatment), and linkage to care (at release or no linkage). Outcomes included quality-adjusted life-years (QALY); cases identified, treated, and cured; cirrhosis cases avoided; incremental cost-effectiveness ratios; DOC costs (2016 US dollars); and BI (healthcare cost/prison entrant) to generalize to other states. Results Compared to “no testing, no treatment, and no linkage to care,” the “test all, treat all, and linkage to care at release” model increased the lifetime sustained virologic response by 23%, reduced cirrhosis cases by 54% at a DOC annual additional cost of $1440 per prison entrant, and would be cost-effective. At current drug prices, targeted testing and liver fibrosis–based treatment provided worse outcomes at higher cost or worse outcomes at higher cost per QALY gained. In sensitivity analysis, fibrosis-based treatment restrictions were cost-effective at previous higher drug costs. Conclusions Although costly, widespread testing and treatment in prisons is considered to be of good value at current drug prices.

Hepatitis C virus (HCV) infection incidence among 18- to 30-year-olds is increasing and guidelines recommend treatment of active injection drug users to limit transmission. We aimed to : measure linkage to HCV care among 18- to 30-year-olds and identify factors associated with linkage; compare linkage among 18- to 30-year-olds to that of patients >30 years. We used the electronic medical record at an urban safety net hospital to create a retrospective cohort with reactive HCV antibody between 2005 and 2010. We report seroprevalence and demographics of seropositive patients, and used multivariable logistic regression to identify factors associated with linkage to HCV care. We defined linkage as having evidence of HCV RNA testing after reactive antibody. Thirty two thousand four hundred and eighteen individuals were tested, including 8873 between 18 and 30 years. The seropositivity rate among those ages 18-30 was 10%. In multivariate analysis, among those 18-30, diagnosis location (Outpatient vs Inpatient/ED) (OR 1.78, 95% CI 1.28-2.49) and number of visits after diagnosis (OR 5.30, 95% CI 3.91-7.19) were associated with higher odds of linking to care. When we compared linkage in patients ages 18-30 to that among those older than 30, patients in the 18-30 years age group were more likely to link to HCV care than those in the older cohort even when controlling for gender, ethnicity, socioeconomic status, birthplace, diagnosis location and duration of follow-up. Eighteen- to 30-year-olds are more likely to link to HCV care than their older counterparts. During the interferon-free treatment era, there is an opportunity to prevent further HCV transmission in this population.

Chronic infection with hepatitis C virus (HCV) genotype 2 or 3 can be treated with sofosbuvir without interferon. Because sofosbuvir is costly, its benefits should be compared with the additional resources used.To estimate the cost-effectiveness of sofosbuvir-based treatments for HCV genotype 2 or 3 infection in the United States.Monte Carlo simulation, including deterministic and probabilistic sensitivity analyses.Randomized trials, observational cohorts, and national health care spending surveys.8 patient types defined by HCV genotype (2 vs. 3), treatment history (naive vs. experienced), and cirrhosis status (noncirrhotic vs. cirrhotic).Lifetime.Payer.Sofosbuvir-based therapies, pegylated interferon-ribavirin, and no therapy.Discounted quality-adjusted life-years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs).The ICER of sofosbuvir-based treatment was less than $100,000 per QALY in cirrhotic patients (genotype 2 or 3 and treatment-naive or treatment-experienced) and in treatment-experienced noncirrhotic patients but was greater than $200,000 per QALY in treatment-naive noncirrhotic patients.The ICER of sofosbuvir-based therapy for treatment-naive noncirrhotic patients with genotype 2 or 3 infection was less than $100,000 per QALY when the cost of sofosbuvir was reduced by approximately 40% and 60%, respectively. In probabilistic sensitivity analyses, cost-effectiveness conclusions were robust to uncertainty in treatment efficacy.The analysis did not consider possible benefits of preventing HCV transmission.Sofosbuvir provides good value for money for treatment-experienced patients with HCV genotype 2 or 3 infection and those with cirrhosis. At their current cost, sofosbuvir-based regimens for treatment-naive noncirrhotic patients exceed willingness-to-pay thresholds commonly cited in the United States.National Institute on Drug Abuse and National Institute of Allergy and Infectious Diseases.

BACKGROUND Little is known about real-world outcomes for new interferon-free treatment for hepatitis C virus (HCV) among underserved and diverse communities. OBJECTIVE To identify predictors of treatment prescription and evaluate outcomes as measured by sustained virologic response (SVR) with HCV RNA testing three months after therapy completion. DESIGN Retrospective cohort at a safety-net health care system. PARTICIPANTS Patients with (1) at least one clinical visit between December 6, 2013, and December 31st 2014; and (2) at least three months follow-up. KEY RESULTS Predominantly non-White cohort (61%). Of 1,284 HCV-infected patients 121 prescribed sofosbuvir-based therapy. Severe liver fibrosis (OR 1.66, 95% CI 1.05, 2.64) independently associated with treatment prescription. In those with evaluable HCV RNA, SVR was 99%. CONCLUSION Cure rates similar to clinical trial data can be achieved in diverse underserved communities.

This study characterizes hepatitis C virus (HCV) testing and the HCV care cascade among 13- to 21-year-olds accessing US federally qualified health centers.

Background Interferon-free regimens to treat hepatitis C virus (HCV) genotype 1 are effective but costly. At this time, payers in the United States use strategies to control costs including (1) limiting treatment to those with advanced disease and (2) negotiating price discounts in exchange for exclusivity. Methods We used Monte Carlo simulation to investigate budgetary impact and cost effectiveness of these treatment policies and to identify strategies that balance access with cost control. Outcomes included nondiscounted 5-year payer cost per 10000 HCV-infected patients and incremental cost-effectiveness ratios. Results We found that the budgetary impact of HCV treatment is high, with 5-year undiscounted costs of $1.0 billion to 2.3 billion per 10000 HCV-infected patients depending on regimen choices. Among noncirrhotic patients, using the least costly interferon-free regimen leads to the lowest payer costs with negligible difference in clinical outcomes, even when the lower cost regimen is less convenient and/or effective. Among cirrhotic patients, more effective but costly regimens remain cost effective. Controlling costs by restricting treatment to those with fibrosis stage 2 or greater disease was cost ineffective for any patient type compared with treating all patients. Conclusions Treatment strategies using interferon-free therapies to treat all HCV-infected persons are cost effective, but short-term cost is high. Among noncirrhotic patients, using the least costly interferon-free regimen, even if it is not single tablet or once daily, is the cost-control strategy that results in best outcomes. Restricting treatment to patients with more advanced disease often results in worse outcomes than treating all patients, and it is not preferred.

Background The FilmArray® Meningitis/Encephalitis (ME) Panel (BioFire Diagnostics, Salt Lake City, Utah) is the first multiplex polymerase chain reaction (PCR) test for detection of 14 pathogens in cerebrospinal fluid (CSF) that are commonly associated with meningitis and encephalitis. Its impact on clinical management has not been well evaluated. Our aim was to describe the experience using the ME panel since its implementation at an urban tertiary care center. Methods We conducted a retrospective chart review of all patients aged >21 who had CSF samples analyzed by the ME panel from January 1 to July 31, 2017. We abstracted demographic, clinical, laboratory, and imaging data to assess ME panel results and their influence on clinical management. Results We reviewed the charts of 93 patients aged 21 to 85 who had the ME panel performed. Forty-nine (53%) were males and eight (9%) were immunosuppressed. Eight (9%) patients had a positive test for at least one target pathogen: four for a bacterial target (S. pneumoniae, N. meningitidis, or H. influenza), three for a viral target (HSV-2 or VZV), and one for both a bacterial and a viral target (S. pneumoniae and HSV-2). CSF cultures were negative for all five cases with bacteria detected. Confirmatory uniplex PCR was not performed for the positive viral results. Four of the five patients with positive results for a bacterial pathogen had received broad-spectrum antibiotics prior to lumbar puncture. In all five, antibiotics were modified (either started or de-escalated) based on the pathogen identified on the ME panel. All four patients with a positive result for a viral target received anti-viral therapy—in one case this was started empirically, while in the remaining three treatment was started only after the ME panel had resulted. Antibiotic management in the 85 patients with a negative ME panel varied widely based on clinical suspicion and other laboratory data. Three (3%) of the 93 patients had positive cultures for pathogens that are not ME panel targets (S. aureus and S. hominis). Conclusion The ME panel yielded positive results in cases where conventional tests did not, including when antibiotics had been initiated prior to CSF sampling. While a positive ME panel prompted changes in therapy, negative results, in the majority of cases, did not supersede clinical suspicion. Disclosures N. Miller, BioFire Diagnostics: Paid speaker, single day event (1 time only): 4/6/2017, BioFire Diagnostics, Syndromic Testing Symposium, Burlington, MA, Speaker honorarium.

Background The opioid crisis has been associated with an increase in hepatitis C virus (HCV) infections among 15–30 year olds. Federally Qualified Health Centers (FQHCs) provide comprehensive healthcare to diverse and underserved communities. However, little is known about HCV screening practices among adolescents and young adults seen at FQHCs across the United States. Objective. To characterize the continuum of HCV testing and care among adolescents and emerging adults in a large national sample of US FQHCs. Methods We used the OCHIN electronic medical record to create a retrospective cohort of 13 to 21 year olds who had a least 1 outpatient visit at any of 98 participating US FQHCs across 19 states from 2012 to 2017. Primary outcome was HCV testing during this timeframe. We also identified predictors of HCV screening using multivariable logistic regression adjusting for age, sex, race/ethnicity, and substance use. Results Among 269,287 youth who met inclusion criteria, 54.7% were female, 37.6% White, 33.5% Hispanic, 17.6% Black, and 11.3% other. Mean [SD] age at first HCV screening was 18.5 [2.2] years. Over the study period, 2.5% (6849/269,287) were tested for HCV and 153 (2.2%) had reactive HCV testing. Of those, 117 (76.5%) had confirmatory RNA testing and 65 (55.6%) had detectable RNA. Thirty-five percent (325/933) with ICD-9 codes for opioid-use disorder (OUD) and 8.9% (2080/23,345) with any ICD-9 code for drug use were tested for HCV. Only 10.6% (728/6,849) of individuals tested for HCV had also been tested for human immunodeficiency virus (HIV). Older age (19–21 vs. 13–15 years old at study end, aOR 5.64, 95% CI 5.13–6.19), Black race (aOR 1.88, 95% CI 1.76–2.00), and ICD-9 codes for substance-use disorder, in particular amphetamine (aOR 5.82, 5.10–6.64), opioids (aOR 3.50, 2.92–4.19), cocaine (aOR 2.90, 2.43–3.47), or cannabis (aOR 2.46, 2.31–2.62) were independently associated with HCV testing in multivariable analysis. Conclusion During the current opioid crisis, only a third of adolescents/young adults diagnosed with OUD in a large national sample of FQHCs were tested for HCV. In addition, only 10% of those tested for HCV were also screened for HIV. Initiatives are needed to increase HCV and HIV screening among at-risk youth at FQHCs. Disclosures All authors: No reported disclosures.

To evaluate the effectiveness and cost-effectiveness of strategies to treat hepatitis C virus (HCV) in HIV/HCV coinfected patients in the United States.Simulated cohort of HIV/HCV genotype 1 coinfected, noncirrhotic, HCV treatment-naive individuals enrolled in US HIV guideline-concordant care.Monte Carlo simulation comparing five strategies: no treatment; dual therapy with pegylated-interferon (PEG) and ribavirin (RBV); 'PEG/RBV trial' in which all patients initiate dual therapy and switch to triple therapy upon failure; 'IL28B triage' in which patients initiate either dual therapy or triple therapy based on their IL28B allele type; and PEG/RBV and telaprevir (TPV) triple therapy. Sensitivity analyses varied efficacies and costs and included a scenario with interferon (IFN)-free therapy.Sustained virologic response (SVR), life expectancy, discounted quality-adjusted life expectancy (QALE), lifetime medical costs, and incremental cost-effectiveness ratios (ICERs) in $/quality-adjusted life years (QALY) gained.'PEG/RBV trial,' 'IL28B triage,' and 'triple therapy' each provided 72% SVR and extended QALE compared with 'dual therapy' by 1.12, 1.14, and 1.15 QALY, respectively. The ICER of 'PEG/RBV trial' compared with 'dual therapy' was $37 500/QALY. 'IL28B triage' and 'triple therapy' provided little benefit compared with 'PEG/RBV trial,' and both had ICERs exceeding $300 000/QALY. In sensitivity analyses, IFN-free treatment attaining 90% SVR had an ICER less than $100 000/QALY compared with 'PEG/RBV trial' when its cost was $109 000 or less (125% of the cost of PEG/RBV/TVR).HCV protease inhibitors are most efficiently used in HIV/HCV coinfection after a trial of PEG/RBV, sparing protease inhibitors for those who attain rapid virologic response and SVR. The cost-effectiveness of IFN-free regimens for HIV/HCV coinfection will depend on the cost of these therapies.

Background As highly effective hepatitis C virus (HCV) therapies emerge, data are needed to inform the development of interventions to improve HCV treatment rates. We used simulation modeling to estimate the impact of loss to follow-up on HCV treatment outcomes and to identify intervention strategies likely to provide good value for the resources invested in them. Methods We used a Monte Carlo state-transition model to simulate a hypothetical cohort of chronically HCV-infected individuals recently screened positive for serum HCV antibody. We simulated four hypothetical intervention strategies (linkage to care; treatment initiation; integrated case management; peer navigator) to improve HCV treatment rates, varying efficacies and costs, and identified strategies that would most likely result in the best value for the resources required for implementation. Main measures Sustained virologic responses (SVRs), life expectancy, quality-adjusted life expectancy (QALE), costs from health system and program implementation perspectives, and incremental cost-effectiveness ratios (ICERs). Results We estimate that imperfect follow-up reduces the real-world effectiveness of HCV therapies by approximately 75%. In the base case, a modestly effective hypothetical peer navigator program maximized the number of SVRs and QALE, with an ICER compared to the next best intervention of $48,700/quality-adjusted life year. Hypothetical interventions that simultaneously addressed multiple points along the cascade provided better outcomes and more value for money than less costly interventions targeting single steps. The 5-year program cost of the hypothetical peer navigator intervention was $14.5 million per 10,000 newly diagnosed individuals. Conclusions We estimate that imperfect follow-up during the HCV cascade of care greatly reduces the real-world effectiveness of HCV therapy. Our mathematical model shows that modestly effective interventions to improve follow-up would likely be cost-effective. Priority should be given to developing and evaluating interventions addressing multiple points along the cascade rather than options focusing solely on single points.

When compared to those diagnosed in the outpatient, patients with reactive HCV testing in the Emergency Department or in the inpatient setting were less likely to link to care as measured by HCV RNA testing., Background. The Centers for Disease Control and Prevention recommends one-time hepatitis C virus (HCV) testing of the population born between 1945 and 1965 with follow-up RNA testing for those with reactive serology. To increase the rate of diagnosis, testing may be considered in settings other than outpatient clinics (OC), such as inpatient wards (IP) or emergency department (ED). Methods. We used electronic medical records to create a retrospective cohort with reactive HCV serology between 2005 and 2010 at an urban safety net hospital. We determined factors associated with linkage to HCV care as measured by HCV RNA testing, and we evaluated the rate of linkage to care according to diagnosis location (OC, IP, or ED). Results. Individuals, 37 828, were tested and 5885 (16%) were reactive. Seropositivity was similar across all sites. Of the 4466 patients who met inclusion criteria, 3400 (76%) were diagnosed in the OC, whereas 967 (22%) and 99 (2%) were tested in the IP and the ED, respectively. A total of 2135 (48%) underwent HCV RNA testing. Using multivariable regression modeling, the following factors were independently associated with HCV RNA testing: diagnosis in the OC (odds ratio [OR], 1.64; 95% confidence interval [CI], 1.42–1.90); age at diagnosis in decades (OR, 0.98; 95% CI, 0.98–0.99); private insurance (OR, 1.17; 95% CI, 1.01–1.34); and ≥10 visits after diagnosis (OR, 2.15; 95% CI, 1.89–2.44). Conclusion. There is an opportunity to increase HCV diagnosis by testing in sites other than the OC, but this opportunity needs to be coupled with robust initiatives to improve linkage to care.