Using Self-Reported Data to Segment Older Adult Populations with Complex Care Needs.

Elizabeth A Bayliss,Jennifer L Ellis,John David Powers, Wendolyn Gozansky,Chan Zeng

EGEMS (Washington, DC)（2019）

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摘要

Segmenting populations with complex care needs into meaningful subgroups can inform tailored care management. We found groups produced through cluster methods to be more intuitive, but both methods produced actionable information. Applying these methods to patient-reported data may make care more efficient and patient-centered.

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关键词

cluster analysis,latent class analysis,multimorbidity,patient-reported data

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