Additional file 1: of An online experiment to assess bias in professional medical coding

Table S1. Clinical Scenarios Presented to Professional Medical Coders. Table S2. Overview of patient characteristics described in sample clinical scenarios. Table S3. Demographic and Work Characteristics. Table S4. Mean (SD) level of service score assigned to each medical scenario by randomized group, overall and by patient demographic characteristics or social need. Table S5. Ordinary least squares regression models of level of service score (range: 1-5) assigned to six sample charts by professional medical coders, by patient demographic characteristics or social need with stabilized inverse probability weights. Table S6. Ordinary least squares regression models of level of service score (range: 1-5) assigned to six sample charts by professional medical coders, by patient demographic characteristics, with stabilized inverse probability weights. (DOCX 53 kb)

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PID https://www.doi.org/10.6084/m9.figshare.8305190
PID https://www.doi.org/10.6084/m9.figshare.8305190.v1
URL http://dx.doi.org/10.6084/m9.figshare.8305190.v1
URL http://dx.doi.org/10.6084/m9.figshare.8305190
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Author Torres, Jacqueline
Author Hessler-Jones, Danielle
Author Yarbrough, Carol
Author Tapley, Adam
Author Raemarie Jimenez
Author Gottlieb, Laura
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Collected From Datacite; figshare
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Publication Date 2019-06-20
Publisher figshare
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keyword FOS: Health sciences
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::b574c781701db5b881ebc94ce0e1dd10
Author jsonws_user
Last Updated 27 December 2020, 02:09 (CET)
Created 27 December 2020, 02:09 (CET)