Disparities in risk perception and low harm reduction services awareness, access, and utilization among young people with newly reported hepatitis C infections in California, 2018

BackgroundNewly reported hepatitis C virus (HCV) infections in California increased 50% among people 15-29years of age between 2014 and 2016. National estimates suggest this increase was due to the opioid epidemic and associated increases in injection drug use. However, most of California's 61 local health jurisdictions (LHJs) do not routinely investigate newly reported HCV infections, so these individuals' risk factors for infection are not well understood. We sought to describe the demographics, risk behaviors, and utilization of harm reduction services in California's fastest-rising age group of people with newly reported hepatitis C infections to support targeted HCV prevention and treatment strategies.MethodsCalifornia Department of Public Health invited LHJs to participate in enhanced surveillance if they met criteria indicating heightened population risk for HCV infection among people ages 15-29. From June-December 2018, eight LHJs contacted newly reported HCV cases by phone using a structured questionnaire.ResultsAmong 472 total HCV cases who met the inclusion criteria, 114 (24%) completed an interview. Twenty-seven percent of respondents (n=31) had ever been incarcerated, of whom 29% received a tattoo/piercing and 39% injected drugs while incarcerated. Among people who injected drugs (PWID)-36% (n =41) of all respondents-68% shared injection equipment and many lacked access to harm reduction services: 37% knew of or ever used a needle exchange and 44% ever needed naloxone during an overdose but did not have it. Heroin was the most frequently reported injected drug (n =30), followed by methamphetamine (n =18). Pre-diagnosis HCV risk perception varied significantly by PWID status and race/ethnicity: 76% of PWID vs. 8% of non-PWID (p<0.001), and 44% of non-Hispanic White respondents vs. 22% of people of color (POC) respondents (p=0.011), reported thinking they were at risk for HCV before diagnosis. Eighty-nine percent of all respondents reported having health insurance, although only two had taken HCV antiviral medications.ConclusionsAmong young people with HCV, we found limited pre-diagnosis HCV risk perception and access to harm reduction services, with racial/ethnic disparities. Interventions to increase harm reduction services awareness, access, and utilization among young PWID, especially young PWID of color, may be warranted

Availability of medications for opioid use disorder in outpatient and inpatient pharmacies in South Florida: a secret shopper survey

BACKGROUND: Despite the proven efficacy of medications for opioid use disorder (MOUD) and recent reduction in barriers to prescribers, numerous obstacles exist for patients seeking MOUD. Prior studies have used telephone surveys to investigate pharmacy-related barriers to MOUD. We applied this methodology to evaluate inpatient and outpatient pharmacy barriers to MOUD in South Florida. METHODS: Randomly selected pharmacies in South Florida (Miami-Dade, Broward, and Palm Beach Counties) were called using a standardized script with a “secret shopper” approach until 200 successful surveys had been completed. The primary outcome was the availability of any buprenorphine products. Second, a list of all 48 acute care hospitals within the aforementioned counties was compiled, and hospitals were contacted by telephone using a second structured script. RESULTS: A total of 1374 outpatient pharmacies and 48 inpatient pharmacies were identified. 378 randomly selected outpatient pharmacies were contacted to accrue 200 successful calls (53% success rate). All 48 inpatient pharmacies were contacted to successfully complete 25 inpatient surveys (52%). Of the 200 outpatient pharmacies contacted, 38% had any buprenorphine available. There was a significant difference in buprenorphine availability by county, with Miami-Dade having the least availability and Palm Beach having the most availability (27% vs. 47%, respectively; p = 0.04). Of the 38% with buprenorphine available, 82% had a sufficient supply for a two-week prescription of buprenorphine 8 mg twice daily. Of the pharmacies that did not have buprenorphine, 55% would be willing to order with a median estimated time to receive an order of 2 days (IQR 1.25–3 days). Of the 25 surveyed inpatient pharmacies, 88% reported having buprenorphine on inpatient formulary, and 55% of hospitals had at least one restriction on ordering of buprenorphine beyond federal regulations. CONCLUSIONS: The results of this study highlight significant pharmacy-related barriers to comprehensive OUD treatment across the healthcare system including both acute care hospital pharmacies and outpatient community pharmacies. Despite efforts to increase the number of MOUD providers, there still remain downstream obstacles to MOUD access

Development of a Standardized Data Collection Tool for Evaluation and Management of Coronavirus Disease 2019

Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 ) is responsible for coronavirus disease 2019 (COVID-19), a disease that had not been previously described and for which clinicians need to rapidly adapt their daily practice. The novelty of SARS-CoV-2 produced significant gaps in harmonization of definitions, data collection, and outcome reporting to identify patients who would benefit from potential interventions. Methods We describe a multicenter collaboration to develop a comprehensive data collection tool for the evaluation and management of COVID-19 in hospitalized patients. The proposed tool was developed by a multidisciplinary working group of infectious disease physicians, intensivists, and infectious diseases/antimicrobial stewardship pharmacists. The working group regularly reviewed literature to select important patient characteristics, diagnostics, and outcomes for inclusion. The data collection tool consisted of spreadsheets developed to collect data from the electronic medical record and track the clinical course after treatments. Results Data collection focused on demographics and exposure epidemiology, prior medical history and medications, signs and symptoms, diagnostic test results, interventions, clinical outcomes, and complications. During the pilot validation phase, there was <10% missing data for most domains and components. Team members noted improved efficiency and decision making by using the tool during interdisciplinary rounds. Conclusions We present the development of a COVID-19 data collection tool and propose its use to effectively assemble harmonized data of hospitalized individuals with COVID-19. This tool can be used by clinicians, researchers, and quality improvement healthcare teams. It has the potential to facilitate interdisciplinary rounds, provide comparisons across different hospitalized populations, and adapt to emerging challenges posed by the pandemic