Lupus Science and Medicine podcast   /     Validating Claims Algorithms for SLE: Geospatial Insights and Impacts on Health Disparities

Summary

Join Dr. Anna Wolska from the Lupus Foundation of America as she talks with Dr. Jim Oates about his recently published study in Lupus Science & Medicine on validating claims-based algorithms in Medicare data to identify SLE and lupus nephritis. Dr. Oates explains how ICD-10 coding and geospatial analysis (via the Lupus Index) can help pinpoint disparities, guide clinical trial recruitment, and reveal how location affects patient outcomes. The conversation covers the varying sensitivity and specificity of different coding algorithms, potential racial differences, and how overlaying socioeconomic and environmental data can shed light on lupus prevalence and improve healthcare resource allocation.   Read the article published in LSM - https://doi.org/10.1136/lupus-2024-001329

Subtitle
Duration
13:49
Publishing date
2025-03-03 16:05
Link
https://lupusbmj.podbean.com/e/validating-claims-algorithms-for-sle-geospatial-insights-and-impacts-on-health-disparities/
Contributors
  BMJ Group
author  
Enclosures
https://mcdn.podbean.com/mf/web/tddifnz5fwvprhf6/202503_Oates79edz.mp3
audio/mpeg

Shownotes

Join Dr. Anna Wolska from the Lupus Foundation of America as she talks with Dr. Jim Oates about his recently published study in Lupus Science & Medicine on validating claims-based algorithms in Medicare data to identify SLE and lupus nephritis. Dr. Oates explains how ICD-10 coding and geospatial analysis (via the Lupus Index) can help pinpoint disparities, guide clinical trial recruitment, and reveal how location affects patient outcomes. The conversation covers the varying sensitivity and specificity of different coding algorithms, potential racial differences, and how overlaying socioeconomic and environmental data can shed light on lupus prevalence and improve healthcare resource allocation.

 

Read the article published in LSM - https://doi.org/10.1136/lupus-2024-001329