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运用再入院预测指数评价多学科方法对减少内科再入院率的效果。

Evaluation of a multidisciplinary approach to reduce internal medicine readmissions using a readmission prediction index.

机构信息

Department of Pharmacy Practice, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, and Beaumont Hospital, Dearborn, Dearborn, MI.

Department of Pharmacy Services, Detroit Medical Center, Detroit, MI, and Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI.

出版信息

Am J Health Syst Pharm. 2020 Jun 4;77(12):950-957. doi: 10.1093/ajhp/zxaa078.

Abstract

PURPOSE

Readmission prediction indices are used to stratify patients by the risk of hospital readmission. We describe the integration of a 30-day hospital readmission prediction index into the electronic medical record (EMR) and its impact on pharmacist interventions during transitions of care (TOC).

METHODS

A retrospective cohort study was conducted to compare 30-day readmission rates between adult internal medicine inpatients admitted by a multidisciplinary team providing TOC services (the TOC group) and those who received usual care (the control group). Interventions by a pharmacist serving on the TOC team were guided by an EMR-integrated readmission index, with patients at the highest risk for readmission receiving targeted pharmacist interventions. Inpatient encounters (n = 374) during the 5-month study period were retrospectively identified. Chi-square and Mann-Whitney U tests were performed to analyze differences in nominal and nonparametric continuous variables, respectively. Logistic regression was performed to identify variables associated with 30-day readmissions. The log-rank test was used to analyze hazard ratios for readmission outcomes in the 2 cohorts.

RESULTS

Thirty-day readmission rates did not differ significantly in the TOC group and the control group (20.9% vs 18.3%, P = 0.52). However, patients who received additional direct pharmacist interventions, as guided by use of a hospital readmission index, had a lower 30-day readmission rate than patients who did not (11.4% vs 21.7%, P = 0.04). The readmission index score was significantly associated with the likelihood of 30-day readmission (odds ratio for readmission, 1.25; 95% confidence interval, 1.16-1.34; P < 0.01). The difference in unadjusted log-rank scores at 30 days with and without pharmacist intervention was not significant (P = 0.05). A mean of 4.5 medication changes were identified per medication reconciliation performed by the TOC pharmacist.

CONCLUSION

A multidisciplinary TOC team approach did not reduce the 30-day readmission rate on an internal medicine service. However, patients who received additional direct pharmacist interventions guided by a readmission prediction index had a reduced readmission rate.

摘要

目的

再入院预测指数用于根据患者再次住院的风险对其进行分层。我们描述了将 30 天再入院预测指数整合到电子病历(EMR)中,并评估其对过渡护理(TOC)期间药剂师干预的影响。

方法

采用回顾性队列研究,比较接受多学科团队 TOC 服务(TOC 组)和仅接受常规护理(对照组)的内科成年住院患者 30 天再入院率。TOC 团队中的药剂师根据 EMR 整合的再入院指数进行干预,对再入院风险最高的患者进行有针对性的药剂师干预。在 5 个月的研究期间,回顾性确定了住院患者(n = 374)。使用卡方检验和曼-惠特尼 U 检验分别分析了名义和非参数连续变量的差异。使用 logistic 回归分析确定与 30 天再入院相关的变量。使用对数秩检验分析 2 个队列的再入院结局的风险比。

结果

TOC 组和对照组 30 天再入院率无显著差异(20.9%比 18.3%,P = 0.52)。然而,根据使用医院再入院指数,接受额外直接药剂师干预的患者,其 30 天再入院率低于未接受干预的患者(11.4%比 21.7%,P = 0.04)。再入院指数评分与 30 天再入院的可能性显著相关(再入院比值比,1.25;95%置信区间,1.16-1.34;P < 0.01)。未调整的 30 天对数秩得分在有无药剂师干预时差异无统计学意义(P = 0.05)。TOC 药剂师进行的每次药物重整平均发现 4.5 种药物变化。

结论

多学科 TOC 团队方法并未降低内科服务的 30 天再入院率。然而,接受再入院预测指数指导的额外直接药剂师干预的患者,其再入院率降低。

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