Patient experience with eosinophilic esophagitis symptoms and impacts on daily life based on in-trial qualitative interviews.

Purpose: Eosinophilic esophagitis (EoE), a chronic immune-mediated progressive disease, causes dysphagia, food impaction, abdominal pain, vomiting, and heartburn. EoE requires long-term monitoring and can affect quality of life owing to its symptoms and associated emotional and social burden. This study aimed to understand patients' experiences with EoE.

Annual prevalence of geographic atrophy and wet age-related macular degeneration among Medicare Advantage enrollees in a US health plan.

Background: Geographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD) that can lead to visual impairment. Published studies estimate approximately 1 million people in the United States have GA in at least 1 eye. There is a lack of real-world evidence from the US payer perspective on the prevalence of AMD and GA among Medicare Advantage prescription drug (MAPD) plan enrollees.

Geographic atrophy and factors associated with disease progression among Medicare Advantage enrollees.

Background: Geographic atrophy (GA) is a form of advanced age-related macular degeneration (AMD) that can cause irreversible vision impairment and is responsible for approximately 20% of legal blindness in the United States. There is limited real-world evidence assessing health outcomes and health care resource use (HCRU) among individuals with GA.

Objective: To examine the progression from GA without subfoveal involvement (SFI) to GA with SFI, progression to irreversible blindness, and HCRU among older individuals with GA enrolled in Medicare Advantage Prescription Drug (MAPD) plans.

An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence.

Introduction: Artificial intelligence (AI) is being used increasingly in image interpretation tasks. Human reliance on technology and bias can cause decision errors. A checklist, used with the AI to mitigate against such biases, may optimise the use of AI technologies and promote good decision hygiene.