“Measuring the incidence of HIV and hepatitis C virus (HCV) infection among people who inject drugs (PWID) is key to track progress towards elimination. We aimed to summarise global data on HIV and primary HCV incidence among PWID and associations with age and sex or gender.”
Global epidemiology of cirrhosis — aetiology, trends and predictions
“Cirrhosis is an important cause of morbidity and mortality in people with chronic liver disease worldwide. In 2019, cirrhosis was associated with 2.4% of global deaths. Owing to the rising prevalence of obesity and increased alcohol consumption on the one hand, and improvements in the management of hepatitis B virus and hepatitis C virus infections on the other, the epidemiology and burden of cirrhosis are changing. In this Review, we highlight global trends in the epidemiology of cirrhosis, discuss the contributions of various aetiologies of liver disease, examine projections for the burden of cirrhosis, and suggest future directions to tackle this condition.
How Clinicians Can Help Raise Community Awareness About Liver Disease
“With the grind of documentation, meaningful use, prior authorizations, and peer-to-peer reviews that many clinicians face, patients like the ones mentioned above can slip through the cracks of the referral process. But we have a responsibility to spare some time to advocate for these patients and understand that the obligation is reciprocal with their care teams.”
Pharmacist-Led Clinic Combats Hepatitis C
“PHOENIX—A pharmacist-led clinic in Washington offers a model for how community pharmacies can address hepatitis C virus (HCV), presenters said during a session at the APhA2023 Annual Meeting & Exposition. This pharmacist, physician and patient navigator collaborative care model (PPP-CCM) represents a novel approach to HCV care delivery for people who inject drugs (PWID), although careful attention must be given to financial barriers for such programs, they said.”
Data-Sharing Collaboration Aims to Advance Cancer Prevention
“A new partnership will allow University of Texas researchers to study how automated data de-identification could enhance the quality of cancer care delivery.”
