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This study presents a priority metric combining case-mix-adjusted means and partial correlations of patient experience measures, revealing distinct improvement priorities for the overall population and for subgroups by race, ethnicity, and language
来源文章
RAND Corporation (United States) | 2026年4月20日
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The proposed metric could streamline care delivery, ensuring that all patients receive uniformly high-quality treatment regardless of their background.
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Relying heavily on a single quality metric may overlook the unique needs of specific patient subgroups, leading to inadequate care.
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While prioritizing quality metrics is essential, the focus must also include systemic changes to support equitable healthcare access for all.
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Using race and ethnicity in quality metrics may inadvertently reinforce bias in healthcare rather than eliminate it, requiring careful implementation.
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Implementing a quality improvement priority metric will help healthcare providers address disparities in patient experiences among diverse populations.
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