Diversity, equity, inclusion, and access are necessary for clinical trial site readiness

Evaluating Equity in Clinical Trial Accessibility: An Analysis of Demographic, Socioeconomic, and Educational Disparities in Irritable Bowel Syndrome Drug Trials

INTRODUCTION

Irritable bowel syndrome (IBS), a disorder of gut-brain interaction, imposes a significant economic burden because of its high prevalence and the chronic nature of its symptoms. IBS currently has 7 United States Food and Drug Administration-approved treatments. Despite efforts to improve diversity in randomized controlled trials' participation, significant disparities remain in various medical fields; yet, these have not been thoroughly examined within the context of IBS. We aimed to investigate the demographic, socioeconomic, educational, and geographic disparities in IBS drug trials.

METHODS

We conducted a systematic review of phase 3 randomized controlled trials on United States Food and Drug Administration-approved drugs for the treatment of IBS with constipation and IBS with diarrhea in the United States. Data on participant demographics and trial site locations were extracted and analyzed to identify disparities.

RESULTS

Our analysis included 17 studies encompassing 21 trials with 17,428 participants. Approximately 77.3% of participants were female, with a mean age of 45.4 years. Race was reported in 95% of the trials, but only 35% disclosed ethnicity. White participants constituted the majority at 79.3%. Hispanics accounted for only 5.9%. Counties without trial sites had smaller average population sizes compared with trial and trial-adjacent counties. Socioeconomic indicators such as poverty rates, median household income, educational attainment, and broadband internet access were lower in counties without trial sites, with higher average Area Deprivation Index scores indicating greater deprivation.

DISCUSSION

The findings highlight significant disparities in IBS trial participation across race, ethnicity, gender, and socioeconomic backgrounds. This raises potential concerns about generalizability of trial outcomes and underscores the need for strategies to enhance inclusivity in clinical research.

AI-Powered Telemedicine for Automatic Scoring of Neuromuscular Examinations

Telemedicine is now being used more frequently to evaluate patients with myasthenia gravis (MG). Assessing this condition involves clinical outcome measures, such as the standardized MG-ADL scale or the more complex MG-CE score obtained during clinical exams. However, human subjectivity limits the reliability of these examinations. We propose a set of AI-powered digital tools to improve scoring efficiency and quality using computer vision, deep learning, and natural language processing. This paper focuses on automating a standard telemedicine video by segmenting it into clips corresponding to the MG-CE assessment. This AI-powered solution offers a quantitative assessment of neurological deficits, improving upon subjective evaluations prone to examiner variability. It has the potential to enhance efficiency, patient participation in MG clinical trials, and broader applicability to various neurological diseases.