The impact of COVID-19 on trends in alcohol use disorder treatment in Veterans Health Administration

Background and Aims: The COVID-19 pandemic disrupted health-care provision in the United States and prompted increases in telehealth-delivery of care. This study measured alcohol use disorder (AUD) treatment trends across visit modalities before and during COVID-19. // Design, Setting, Participants and Measurements: We conducted a national, retrospective cohort study with interrupted time-series models to estimate the impact of COVID-19 on AUD treatment in the Veterans Health Administration (VHA) in the United States during pre-COVID-19 (March 2019 to February 2020) and COVID-19 (March 2020 to February 2021) periods. We analyzed monthly trends in telephone, video and in-person visits for AUD treatment and compared patient and treatment characteristics of patients receiving AUD treatment between the pre-COVID-19 and COVID-19 periods. AUD was defined using International Classification of Diseases, 10th revision (ICD-10) codes for alcohol abuse (F10.1) and alcohol dependence (F10.2), which have previously been used to study AUD in VHA. // Findings: The predicted percentage of VHA patients with an AUD diagnosis receiving any AUD treatment at the beginning of the pre-COVID period was 13.8% (n = 49 494). The predicted percentage decreased by 4.3% (P = 0.001) immediately at the start of the COVID-19 period due to a decline in AUD psychotherapy. Despite an increase of 0.3% per month (P = 0.026) following the start of COVID-19, the predicted percentage of VHA patients with an AUD diagnosis receiving any AUD treatment at the end of the study period remained below the pre-COVID-19 period. In February 2021, AUD psychotherapy visits were primarily delivered by video (50%, 58 748), followed by in-person (36.6%, 43 251) and telephone (13.8%, 16 299), while AUD pharmacotherapy visits were delivered by telephone (38.9%, 3623) followed by in-person (34.3%, 3193) and video (26.8%, 2498) modalities. Characteristics of VHA patients receiving AUD treatment were largely similar between pre-COVID-19 and COVID-19 periods. // Conclusions: Despite increased telehealth use, the percentage of United States Veterans Health Administration patients with an alcohol use disorder (AUD) diagnosis receiving AUD treatment declined during COVID-19 (March 2020 to February 2021) mainly due to a decrease in psychotherapy

Liver Cancer Disparities in New York City: A neighborhood wiew of risk and harm reduction factors

Introduction: Liver cancer is the fastest increasing cancer in the United States and is one of the leading causes of cancer-related death in New York City (NYC), with wide disparities among neighborhoods. The purpose of this cross-sectional study was to describe liver cancer incidence by neighborhood and examine its association with risk factors. This information can inform preventive and treatment interventions. Materials and methods: Publicly available data were collected on adult NYC residents (n = 6,407,022). Age-adjusted data on liver and intrahepatic bile duct cancer came from the New York State Cancer Registry (1) (2007-2011 average annual incidence); and the NYC Vital Statistics Bureau (2015, mortality). Data on liver cancer risk factors (2012-2015) were sourced from the New York City Department of Health and Mental Hygiene: (1) Community Health Survey, (2) A1C registry, and (3) NYC Health Department Hepatitis surveillance data. They included prevalence of obesity, diabetes, diabetic control, alcohol-related hospitalizations or emergency department visits, hepatitis B and C rates, hepatitis B vaccine coverage, and injecting drug use. Results: Liver cancer incidence in NYC was strongly associated with neighborhood poverty after adjusting for race/ethnicity (β = 0.0217, p = 0.013); and with infection risk scores (β = 0.0389, 95% CI = 0.0088-0.069, p = 0.011), particularly in the poorest neighborhoods (β = 0.1207, 95% CI = 0.0147-0.2267, p = 0.026). Some neighborhoods with high hepatitis rates do not have a proportionate number of hepatitis prevention services. Conclusion: High liver cancer incidence is strongly associated with infection risk factors in NYC. There are gaps in hepatitis prevention services like syringe exchange and vaccination that should be addressed. The role of alcohol and metabolic risk factors on liver cancer in NYC warrants further study

Innovations in Hepatitis C Screening and Treatment

New therapies offer hope for a cure to millions of persons living with hepatitis C virus (HCV) infection. HCV elimination is a global goal that will be difficult to achieve using the traditional paradigms of diagnosis and care. The current standard has evolved toward universal HCV screening and treatment, to achieve elimination goals. There are several steps between HCV diagnosis and cure with major barriers along the way. Innovative models of care can address barriers to better serve hardly reached populations and scale national efforts in the United States and abroad. Herein, we highlight innovative models of HCV care that aid in our progress toward HCV elimination

Engaging people who use drugs in clinical research: integrating facilitated telemedicine for HCV into substance use treatment

Abstract Background People who use drugs (PWUD) have difficulty participating in clinical research. We evaluated approaches to engage PWUD in clinical research, using facilitated telemedicine for hepatitis C virus (HCV) care as an example. Methods We analyzed stakeholder interview transcripts and study-related data (i.e., progress reports, meeting minutes) from interrelated studies to understand engagement experiences at the patient, site, and organizational levels. Stakeholders include patient-participants, opioid treatment program (OTP) staff and administrators, and research team members involved in HCV management through facilitated telemedicine integrated into OTPs. Results Three themes emerged. Initially, the research team sought understanding of the unique culture and community of each OTP (Theme 1). The team built trusting relationships through education, communication, and feedback (Theme 2). Finally, the research team enhanced collaborative care and incorporated the patients’ voice to improve health outcomes (Theme 3). Patient-participants and OTP staff endorsed the integrated HCV care approach. Engagement practices are summarized as the CREATE framework (C = culture, R = respect, E = educate, A = advantage, T = trust, E = endorse). Conclusions PWUD engagement in clinical research is maximized by building trusting relationships with open communication channels. Understanding the community, demonstrating respect, and augmenting knowledge are foundational for engaging PWUD in clinical research. These practices are transferable to engagement of PWUD in clinical research broadly

table_1_Liver Cancer Disparities in New York City: A Neighborhood View of Risk and Harm Reduction Factors.docx

Introduction<p>Liver cancer is the fastest increasing cancer in the United States and is one of the leading causes of cancer-related death in New York City (NYC), with wide disparities among neighborhoods. The purpose of this cross-sectional study was to describe liver cancer incidence by neighborhood and examine its association with risk factors. This information can inform preventive and treatment interventions.</p>Materials and methods<p>Publicly available data were collected on adult NYC residents (n = 6,407,022). Age-adjusted data on liver and intrahepatic bile duct cancer came from the New York State Cancer Registry (1) (2007–2011 average annual incidence); and the NYC Vital Statistics Bureau (2015, mortality). Data on liver cancer risk factors (2012–2015) were sourced from the New York City Department of Health and Mental Hygiene: (1) Community Health Survey, (2) A1C registry, and (3) NYC Health Department Hepatitis surveillance data. They included prevalence of obesity, diabetes, diabetic control, alcohol-related hospitalizations or emergency department visits, hepatitis B and C rates, hepatitis B vaccine coverage, and injecting drug use.</p>Results<p>Liver cancer incidence in NYC was strongly associated with neighborhood poverty after adjusting for race/ethnicity (β = 0.0217, p = 0.013); and with infection risk scores (β = 0.0389, 95% CI = 0.0088–0.069, p = 0.011), particularly in the poorest neighborhoods (β = 0.1207, 95% CI = 0.0147–0.2267, p = 0.026). Some neighborhoods with high hepatitis rates do not have a proportionate number of hepatitis prevention services.</p>Conclusion<p>High liver cancer incidence is strongly associated with infection risk factors in NYC. There are gaps in hepatitis prevention services like syringe exchange and vaccination that should be addressed. The role of alcohol and metabolic risk factors on liver cancer in NYC warrants further study.</p

Liver stiffness changes during follow-up post-SVR24.

<p>The graph shows FibroScan scores in 56 patients who had an additional measurement afterSVR24. 0 on the horizontal axis indicates SVR24. Stiffness decreased over time, but the change was not significant as demonstrated by linear regression with a p-value = 0.9. The colors indicate the pre-treatment fibrosis stage as estimated from the LS score, green (F0-1), yellow (F2), orange (F3), red (F4).</p