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在儿科心血管重症监护病房使用电子临床决策支持系统优化成人先天性心脏病的护理*

Optimizing care of adults with congenital heart disease in a pediatric cardiovascular ICU using electronic clinical decision support*.

作者信息

May Lindsay J, Longhurst Christopher A, Pageler Natalie M, Wood Matthew S, Sharek Paul J, Zebrack C Michelle

机构信息

1Division of Pediatric Cardiology, Department of Pediatrics, Stanford University, Lucile Packard Children's Hospital, Palo Alto, CA. 2Division of General Pediatrics, Department of Pediatrics, Stanford University, Lucile Packard Children's Hospital, Palo Alto, CA. 3Division of Systems Medicine, Department of Pediatrics, Stanford University, Lucile Packard Children's Hospital, Palo Alto, CA. 4Division of Pediatric Critical Care, Department of Pediatrics, Stanford University, Lucile Packard Children's Hospital, Palo Alto, CA. 5Center for Quality and Clinical Effectiveness, Lucile Packard Children's Hospital, Palo Alto, CA.

出版信息

Pediatr Crit Care Med. 2014 Jun;15(5):428-34. doi: 10.1097/PCC.0000000000000124.

Abstract

OBJECTIVES

The optimal location for postoperative cardiac care of adults with congenital heart disease is controversial. Some congenital heart surgeons operate on these adults in children's hospitals with postoperative care provided by pediatric critical care teams who may be unfamiliar with adult national performance measures. This study tested the hypothesis that Clinical Decision Support tools integrated into the clinical workflow would facilitate improved compliance with The Joint Commission Surgical Care Improvement Project performance measures in adults recovering from cardiac surgery in a children's hospital.

DESIGN

Retrospective chart review comparing compliance pre- and post-Clinical Decision Support intervention for Surgical Care Improvement Project measures addressed in the critical care unit: appropriate cessation of prophylactic antibiotics; controlled blood glucose; urinary catheter removal; and reinitiation of preoperative β-blocker when indicated.

SETTING

Cardiovascular ICU in a quaternary care freestanding children's hospital.

PATIENTS

The cohort included 114 adults 18-70 years old recovering from cardiac surgery in our pediatric cardiovascular ICU.

INTERVENTIONS

Clinical Decision Support tools including data-triggered alerts, smart documentation forms, and order sets with conditional logic were integrated into the workflow.

MEASUREMENTS AND MAIN RESULTS

Compliance with antibiotic discontinuation was 100% pre- and postintervention. Compliance rates improved for glucose control (p = 0.007) and urinary catheter removal (p = 0.05). Documentation of β-blocker therapy (nonexistent preintervention) was 100% postintervention. Composite compliance for all measures increased from 53% to 84% (p = 0.002). There were no complications related to institution of the Surgical Care Improvement Project measures. There was no in-hospital mortality.

CONCLUSIONS

Compliance with the national adult postoperative performance measures can be excellent in a children's hospital with the help of Clinical Decision Support tools. This represents an important step toward providing high-quality care to a growing population of adults with congenital heart disease who may receive care in a pediatric center.

摘要

目的

成人先天性心脏病术后心脏护理的最佳地点存在争议。一些先天性心脏病外科医生在儿童医院为这些成人进行手术,术后护理由儿科重症监护团队提供,而这些团队可能不熟悉成人的国家绩效指标。本研究检验了以下假设:融入临床工作流程的临床决策支持工具将有助于提高儿童医院心脏手术后康复的成人对联合委员会手术护理改进项目绩效指标的依从性。

设计

回顾性病历审查,比较重症监护病房中针对手术护理改进项目措施的临床决策支持干预前后的依从性:预防性抗生素的适当停用;血糖控制;导尿管拔除;以及在有指征时重新开始术前β受体阻滞剂治疗。

地点

一家独立的四级儿童专科医院的心血管重症监护病房。

患者

该队列包括114名年龄在18至70岁之间、在我们儿科心血管重症监护病房接受心脏手术后康复的成人。

干预措施

将包括数据触发警报、智能文档表格和带有条件逻辑的医嘱集在内的临床决策支持工具融入工作流程。

测量和主要结果

抗生素停用的依从性在干预前后均为100%。血糖控制(p = 0.007)和导尿管拔除(p = 0.05)的依从率有所提高。β受体阻滞剂治疗的记录(干预前不存在)在干预后为100%。所有措施的综合依从性从53%提高到84%(p = 0.002)。没有与实施手术护理改进项目措施相关的并发症。没有院内死亡。

结论

在临床决策支持工具的帮助下,儿童医院对成人术后国家绩效指标的依从性可以很高。这代表了朝着为越来越多可能在儿科中心接受治疗的成人先天性心脏病患者提供高质量护理迈出的重要一步。

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