电子健康记录干预降低医院再入院风险:系统回顾和荟萃分析。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Badal S B Pattar, Abigail Ackroyd, Emir Sevinc, Taylor Hecker, Keila Turino Miranda, Caitlin McClurg, Kyle Weekes, Matthew T James, Neesh Pannu, Pietro Ravani, Paul E Ronksley, Sofia B Ahmed, Tyrone G Harrison
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引用次数: 0

摘要

重要性:再入院与巨大的医疗费用和不良的患者预后相关。尽管电子健康记录(EHR)系统被迅速采用,但使用基于EHR的干预措施来降低医院再入院的风险尚不清楚。目的:系统回顾和评估随机临床试验(rct)中基于ehr的干预与对照与预防30天全因再入院的关系。数据来源:Ovid MEDLINE、Ovid Embase、CINAHL、Cochrane Central Register of Controlled Trials和ClinicalTrials.gov从数据库建立到2024年7月5日,使用“随机对照试验”、“住院成人”和“再入院”等概念领域中具有类似术语的文本词进行搜索。研究选择:如果rct评估了基于ehr的干预措施与没有ehr嵌入组件的对照组相比对医院再入院的影响,则纳入rct。如果研究涉及非住院、儿科、产科或精神科人群或未报告再入院结果,则排除研究。按照系统评价和荟萃分析报告指南的首选报告项目报告结果。数据提取与综合:数据由3位审稿人独立提取,一式两份。随机效应模型用于汇集数据,并使用Cochrane风险偏倚工具评估研究质量。异质性采用I2统计量进行量化,并根据人口统计学、干预复杂性和出版年份,采用预先指定的亚组分析和单变量元回归进行探讨。主要结局和指标:主要结局为30天全因再入院,其他再入院结局(如计划外再入院和3、6、12和24个月再入院)作为次要结局。结果:共纳入116项rct,涉及204名 523名受试者(加权平均[SD]男性,56% [16%];包括加权平均[SD]年龄,68岁),其中远程监测(76项研究[66%])是最常见的基于ehr的干预成分,其次是病例管理(45项研究[39%])和药物调节(33项研究[28%])。基于ehr的干预与30天全因再入院的统计学显著降低相关(OR, 0.83 [95% CI, 0.70-0.99];i2 = 82%;τ = 0.44 [95% ci, 0.30-0.62];预测区间[PI], 0.34-2.06)和90天全因再入院(OR, 0.72 [95% CI, 0.54-0.96];i2 = 78%;τ = 0.34 [95% ci, 0.19-1.00];PI, 0.33-1.55)。结论和相关性:在这项随机对照试验的系统回顾和荟萃分析中,使用基于ehr的干预措施与减少30天和90天的再入院率相关。未来的研究应检查电子病历干预措施的其他组成部分,以了解和解释有效性方面的剩余差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electronic Health Record Interventions to Reduce Risk of Hospital Readmissions: A Systematic Review and Meta-Analysis.

Importance: Hospital readmissions are associated with significant health care costs and poor patient outcomes. Despite the rapid adoption of electronic health record (EHR) systems, the use of EHR-based interventions to reduce the risk of hospital readmissions is unknown.

Objective: To systematically review and estimate the association of EHR-based interventions vs controls with preventing 30-day all-cause hospital readmissions as tested in randomized clinical trials (RCTs).

Data sources: Ovid MEDLINE, Ovid Embase, CINAHL, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov were searched from database inception to July 5, 2024, using text words with analogous terms within concept areas of "randomized controlled trial," "hospitalized adults," and "readmissions."

Study selection: RCTs were included if they evaluated the effect of EHR-based interventions on hospital readmissions compared with a control arm without an EHR-embedded component. Studies were excluded if they involved nonhospitalized, pediatric, obstetric, or psychiatric populations or did not report readmission outcomes. Results were reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline.

Data extraction and synthesis: Data were extracted independently by 3 reviewers in duplicate. A random-effects model was used to pool data, and the quality of studies was assessed using the Cochrane Risk of Bias tool. Heterogeneity was quantified using the I2 statistic and explored with prespecified subgroup analyses and univariable meta-regression by population demographics, intervention complexity, and publication year.

Main outcomes and measures: The primary outcome was 30-day all-cause hospital readmission, and other readmission outcomes (eg, unplanned readmissions and readmissions at 3, 6, 12, and 24 months) were examined as secondary outcomes.

Results: A total of 116 RCTs involving 204 523 participants (weighted mean [SD] males, 56% [16%]; weighted mean [SD] age, 68 [9] years) were included, with telemonitoring (76 studies [66%]) being the most common EHR-based intervention component followed by case management (45 studies [39%]) and medication reconciliation (33 [28%]). EHR-based interventions were associated with a statistically significant reduction in 30-day all-cause readmissions (OR, 0.83 [95% CI, 0.70-0.99]; I2 = 82%; τ = 0.44 [95% CI, 0.30-0.62]; prediction interval [PI], 0.34-2.06) and 90-day all-cause readmissions (OR, 0.72 [95% CI, 0.54-0.96]; I2 = 78%; τ = 0.34 [95% CI, 0.19-1.00]; PI, 0.33-1.55) compared with control arms.

Conclusions and relevance: In this systematic review and meta-analysis of RCTs, the use of EHR-based interventions was associated with a reduction in 30-day and 90-day hospital readmissions. Future research should examine additional components of EHR interventions to understand and account for remaining gaps in effectiveness.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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