Suppr超能文献

开发可操作的患者分类法,以了解和描述高成本医疗保险患者。

Developing an actionable patient taxonomy to understand and characterize high-cost Medicare patients.

机构信息

Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.

Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA; New York-Presbyterian Hospital, New York, NY, USA; Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA.

出版信息

Healthc (Amst). 2020 Mar;8(1):100406. doi: 10.1016/j.hjdsi.2019.100406. Epub 2020 Jan 7.

Abstract

BACKGROUND

Improving care for high-cost patients requires a better understanding of their characteristics and the ability to effectively target interventions. We developed an actionable taxonomy with clinically meaningful patient categories for high-cost Medicare patients-those in the top 10% of total costs.

METHODS

A cross-sectional study of a Medicare fee-for-service (FFS) patient cohort in the New York metropolitan area. We merged claims and neighborhood social determinants of health data to map patients into actionable categories.

RESULTS

Among 428,024 Medicare FFS patients, we mapped the 42,802 high-cost patients into ten overlapping categories, including: multiple chronic conditions, seriously ill, frail, serious mental illness, single condition with high pharmacy cost, chronic pain, end-stage renal disease (ESRD), single high-cost chronic condition, opioid use disorder, and socially vulnerable. Most high-cost patients had multiple chronic conditions (97.4%), followed by serious illness (53.7%) and frailty (48.9%). Patients with ESRD, who were seriously ill, and who were frail were more likely to be high-cost compared to patients in other categories. 72.7% of high-cost patients fell into multiple categories.

CONCLUSIONS

High-cost patients are highly heterogeneous. A patient taxonomy incorporating medical, behavioral, and social characteristics may help providers better understand their characteristics and health needs.

IMPLICATIONS

Mapping high-cost patients into clinically meaningful and actionable categories that incorporate medical, behavioral, and social factors could help health systems target interventions. Integrated approaches, including medical care, behavioral health, and social services may be needed to effectively and efficiently care for high-cost patients.

摘要

背景

改善高成本患者的护理需要更好地了解他们的特征,并能够有效地针对干预措施。我们开发了一种具有临床意义的患者分类法,将高成本的医疗保险患者(总费用的前 10%)分为有针对性的类别。

方法

这是一项在纽约大都市区的医疗保险按服务收费(FFS)患者队列中的横断面研究。我们合并了索赔和社区健康的社会决定因素数据,将患者映射到可操作的类别中。

结果

在 428,024 名医疗保险 FFS 患者中,我们将 42,802 名高成本患者分为十个重叠类别,包括:多种慢性疾病、重病、体弱、严重精神疾病、高药物成本的单一疾病、慢性疼痛、终末期肾病(ESRD)、单一高成本慢性疾病、阿片类药物使用障碍和社会弱势群体。大多数高成本患者有多种慢性疾病(97.4%),其次是重病(53.7%)和体弱(48.9%)。与其他类别的患者相比,患有 ESRD、重病和体弱的高成本患者更有可能成为高成本患者。72.7%的高成本患者属于多个类别。

结论

高成本患者高度异质。纳入医疗、行为和社会特征的患者分类法可能有助于提供者更好地了解他们的特征和健康需求。

意义

将高成本患者映射到具有临床意义和可操作的类别中,这些类别包含医疗、行为和社会因素,可以帮助卫生系统针对干预措施。需要采取综合方法,包括医疗保健、行为健康和社会服务,以有效地、高效率地照顾高成本患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验