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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
출처 기사
RAND Corporation (United States) | Apr 20, 2026
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AI 번역 · 원문 보기
The proposed metric could streamline care delivery, ensuring that all patients receive uniformly high-quality treatment regardless of their background.
AI 번역 · 원문 보기
Relying heavily on a single quality metric may overlook the unique needs of specific patient subgroups, leading to inadequate care.
AI 번역 · 원문 보기
While prioritizing quality metrics is essential, the focus must also include systemic changes to support equitable healthcare access for all.
AI 번역 · 원문 보기
Using race and ethnicity in quality metrics may inadvertently reinforce bias in healthcare rather than eliminate it, requiring careful implementation.
AI 번역 · 원문 보기
Implementing a quality improvement priority metric will help healthcare providers address disparities in patient experiences among diverse populations.
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