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Validating Claims Algorithms for SLE: Geospatial Insights and Impacts on Health Disparities

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Manage episode 469587109 series 3381970
Content provided by BMJ Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BMJ Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

57 episodes

Artwork
iconShare
 
Manage episode 469587109 series 3381970
Content provided by BMJ Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BMJ Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

57 episodes

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