捕捉复杂社区健康中心患者的照护:多病指数与临床分类软件的比较

Capturing the care of complex community‐based health center patients: A comparison of multimorbidity indices and clinical classification software

Health Services Research · 2024
被引 2
ABS 3

中文导读

比较了三种常用多病指数(Charlson、Elixhauser、MWI)与两种临床分类软件(CCSR、CCI)在社区健康中心患者中捕捉疾病负担的能力,发现前者漏掉了35%-56%的患者,尤其是年轻患者,提示需要更全面的指数来评估全生命周期的复杂照护。

Abstract

OBJECTIVE: To compare morbidity burden captured from multimorbidity indices and aggregated measures of clinically meaningful categories captured in primary care community-based health center (CBHC) patients. DATA SOURCES AND STUDY SETTING: Electronic health records of patients seen in 2019 in OCHIN's national network of CBHCs serving patients in rural and underserved communities. STUDY DESIGN: Age-stratified analyses comparing the most common conditions captured by the Charlson, Elixhauser, and Multimorbidity Weighted (MWI) indices, and Classification Software Refined (CCSR) and Chronic Condition Indicator (CCI) algorithms. DATA COLLECTION/EXTRACTION METHODS: Active ICD-10 conditions on patients' problem list in 2019. PRINCIPAL FINDINGS: Approximately 35%-56% of patients with at least one condition are not captured by the Charlson, Elixhauser, and MWI indices. When stratified by age, this range broadens to 9%-90% with higher percentages in younger patients. The CCSR and CCI reflect a broader range of acute and chronic conditions prevalent among CBHC patients. CONCLUSION: Three commonly used indices to capture morbidity burden reflect conditions most prevalent among older adults, but do not capture those on problem lists for younger CBHC patients. An index with an expanded range of care conditions is needed to understand the complex care provided to primary care populations across the lifespan.

多病共存社区健康中心初级保健疾病负担测量电子健康记录