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65 岁及以上老年退伍军人在 30 天内再次入院的影响因素:与虚弱相关的诊断、老年高危人群处方、初级保健使用。

Influence of frailty-related diagnoses, high-risk prescribing in elderly adults, and primary care use on readmissions in fewer than 30 days for veterans aged 65 and older.

机构信息

Veterans Evidence-Based Research, Dissemination, and Implementation Center, South Texas Veterans Health Care System, San Antonio, Texas; Geriatric Research Education and Clinical Center, South Texas Veterans Health Care System, San Antonio, Texas; Division of Hospital Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas.

出版信息

J Am Geriatr Soc. 2014 Feb;62(2):291-8. doi: 10.1111/jgs.12656. Epub 2014 Jan 21.

Abstract

OBJECTIVES

To determine the effect of two variables not previously studied in the readmissions literature (frailty-related diagnoses and high-risk medications in the elderly (HRME)) and one understudied variable (volume of primary care visits in the prior year).

DESIGN

Retrospective cohort study using data from a study designed to examine outcomes associated with inappropriate prescribing in elderly adults.

SETTING

All Veterans Affairs (VA) facilities with acute inpatient beds in fiscal year 2006 (FY06).

PARTICIPANTS

All veterans aged 65 and older by October 1, 2005, who received VA care at least once per year between October 1, 2004, and September 30, 2006, and were hospitalized at least once during FY06 on a medical or surgical unit.

MEASUREMENTS

A generalized linear interactive risk prediction model included demographic and clinical characteristics (mental health and chronic medical conditions, frailty-related diagnoses, number of medications) in FY05; incident HRME in FY06 before index hospitalization or readmission; chronic HRME in FY05; and FY05 emergency department (ED), hospital, geriatric, palliative, or primary care use. Facility-level variables were complexity, rural versus urban, and FY06 admission rate.

RESULTS

The mean adjusted readmission rate was 18.3%. The new frailty-related diagnoses variable is a risk factor for readmission in addition to Charlson comorbidity score. Incident HRME use was associated with lower rates of readmission, as were higher numbers of primary care visits in the prior year.

CONCLUSION

Frailty-related diagnoses may help to target individuals at higher risk of readmission to receive more-intensive care transition services. HRME use does not help in this targeting. A higher number of face-to-face primary care visits in the prior year, unlike ED and hospital use, correlates with fewer readmissions and may be another avenue for targeting prevention strategies.

摘要

目的

确定两个以前在再入院文献中未研究过的变量(与虚弱相关的诊断和老年人高风险药物(HRME))以及一个研究较少的变量(前一年的初级保健就诊量)的影响。

设计

使用旨在研究与老年人不适当处方相关结果的研究数据进行的回顾性队列研究。

设置

2006 财年(FY06)所有拥有急性住院床位的退伍军人事务部(VA)设施。

参与者

截至 2005 年 10 月 1 日年满 65 岁的所有退伍军人,他们在 2004 年 10 月 1 日至 2006 年 9 月 30 日期间至少每年一次接受 VA 护理,并且在 FY06 期间至少在一次内科或外科病房住院。

测量

在 FY05 中,广义线性交互风险预测模型包括人口统计学和临床特征(心理健康和慢性疾病、与虚弱相关的诊断、药物数量);FY06 指数住院或再入院前发生的新 HRME;FY05 中的慢性 HRME;以及 FY05 急诊部(ED)、医院、老年科、姑息治疗或初级保健使用情况。设施级别变量包括复杂性、农村与城市以及 FY06 入院率。

结果

调整后的再入院率平均值为 18.3%。新的与虚弱相关的诊断变量是除 Charlson 合并症评分外再入院的危险因素。FY06 之前发生 HRME 使用与较低的再入院率相关,前一年的初级保健就诊次数较多也与较低的再入院率相关。

结论

与虚弱相关的诊断可能有助于确定再入院风险较高的个体,以接受更密集的护理过渡服务。HRME 使用在此目标设定中并无帮助。与 ED 和医院就诊不同,前一年面对面的初级保健就诊次数较多与较少的再入院相关,可能是另一个目标预防策略的途径。

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