AAMS General Medicine · Vol. 12 · Issue 2 · 2026-03-16
Real-world evidence on health disparities: a population-based study
Prof. Kwame Asante, Dr. Yuki Tanaka, Dr. Isabella Fernandez, Dr. Pablo Restrepo, Prof. Henrik Larsen
1. University of Ghana Medical School, Accra, Ghana; 2. Department of Medicine, University of Tokyo, Tokyo, Japan; 3. Pontificia Universidad Católica de Chile, Santiago, Chile; 4. Universidad de Antioquia, Medellín, Colombia; 5. University of Copenhagen, Copenhagen, Denmark
Abstract
Background: Health disparities remains a significant clinical challenge with substantial morbidity. This study aimed to evaluate contemporary diagnostic and therapeutic approaches in GM. Methods: We conducted a prospective multicenter investigation enrolling consecutive adult patients across five tertiary academic medical centers between 2022 and 2024. Standardized clinical, laboratory, and imaging assessments were performed, with primary outcomes adjudicated by a blinded committee. Results: A total of 412 participants (mean age 54.3 years; 51.2% female) met inclusion criteria. The intervention group demonstrated statistically significant improvement in the primary endpoint compared with controls (relative risk 0.68, 95% CI 0.54-0.85, p<0.001). Adverse events were comparable between arms. Conclusions: Our findings support evidence-based integration of these approaches into routine clinical practice for patients with health disparities. Further multinational randomized trials are warranted to confirm generalizability and inform international guidelines.
Keywords: systematic review, epidemiology, disparities, health disparities, health
Full Text
Health disparities has emerged as a critical focus area within GM. This article presents original research findings.
See abstract for study design.
Detailed quantitative outcomes are reported in Table 1 and Figure 1 of the published version.
Our findings extend prior literature and have important implications for clinical practice and policy.
Real-world evidence on health disparities: a population-based study