2021
DOI: 10.1353/hpu.2021.0067
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Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE Project

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Cited by 2 publications
(1 citation statement)
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“…However, insofar as limited HL is more common among non-White patients, our findings should not be misinterpreted to mean that linguistic matching is not beneficial among such populations. It is unlikely that these particular findings were a reflection of mismeasurement; the performance characteristics and predictive validity of the automated patient HL measure have been shown to be robust and equivalent across race/ethnicity ( 57 ). Our inability to measure racial or ethnic concordance between physicians and patients limited our ability to explore for an interaction with linguistic concordance on communication.…”
Section: Discussionmentioning
confidence: 99%
“…However, insofar as limited HL is more common among non-White patients, our findings should not be misinterpreted to mean that linguistic matching is not beneficial among such populations. It is unlikely that these particular findings were a reflection of mismeasurement; the performance characteristics and predictive validity of the automated patient HL measure have been shown to be robust and equivalent across race/ethnicity ( 57 ). Our inability to measure racial or ethnic concordance between physicians and patients limited our ability to explore for an interaction with linguistic concordance on communication.…”
Section: Discussionmentioning
confidence: 99%