Carr Leah H, Padula Michael, Chuo John, Cunningham Megan, Flibotte John, O'Connor Theresa, Thomas Beth, Nawab Ursula
Division of Neonatology, Department of Pediatrics, Children's Hospital of Philadelphia.
Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.
Pediatr Qual Saf. 2021 Jul 28;6(4):e437. doi: 10.1097/pq9.0000000000000437. eCollection 2021 Jul-Aug.
Checklists aid in ensuring consistency and completeness in medical care delivery. However, using an improvement and safety checklist during rounds was variable in our neonatology intensive care unit (NICU), and completion was not tracked sustainably. This quality improvement (QI) initiative's primary aim was to increase compliance with checklist completion from 31% to >75% within 1 year.
A multidisciplinary QI team identified barriers to checklist completion and implemented a human factors-focused low-technology intervention (redesign of a hard-copy checklist) and later a high-technology clinical decision support tool within the electronic health record. The primary outcome measure was percent compliance with the use of the checklist. Process metrics included the duration of checklist completion. Balancing measures included staff perceptions of work burden and question relevance.
Major barriers to checklist utilization were inability to remember, rounding interruptions, and perceived lack of question relevance to patients. Average biweekly checklist compliance improved from 31% before interventions to 80% after interventions. Average checklist completion time decreased from 46 to 11 seconds. Follow-up surveys demonstrated more respondents found questions "completely relevant" (34% pre versus 43% post) but perceived increased work burden (26% pre versus 31% post).
Using QI methodology, human factors-based interventions, and a novel clinical decision support tool, we significantly improved efficiency and checklist compliance and created an automated, sustainable method for monitoring completion and responses. This foundational project provides an infrastructure broadly applicable to QI work in other healthcare settings.
检查表有助于确保医疗服务的一致性和完整性。然而,在我们的新生儿重症监护病房(NICU)中,查房期间使用改进和安全检查表的情况并不稳定,且未对检查表的填写情况进行持续跟踪。这项质量改进(QI)举措的主要目标是在1年内将检查表填写的合规率从31%提高到>75%。
一个多学科QI团队确定了检查表填写的障碍,并实施了一项以人为因素为重点的低技术干预措施(重新设计纸质检查表),随后在电子健康记录中引入了一项高技术临床决策支持工具。主要结局指标是检查表使用的合规百分比。过程指标包括检查表填写的持续时间。平衡指标包括工作人员对工作负担和问题相关性的看法。
检查表使用的主要障碍是记不住、查房中断以及认为问题与患者无关。平均每两周的检查表合规率从干预前的31%提高到干预后的80%。平均检查表填写时间从46秒减少到11秒。后续调查显示,更多受访者认为问题“完全相关”(干预前为34%,干预后为43%),但感觉工作负担增加(干预前为26%,干预后为31%)。
通过使用QI方法、基于人为因素的干预措施和一种新型临床决策支持工具,我们显著提高了效率和检查表合规率,并创建了一种自动化、可持续的方法来监测填写情况和反馈。这个基础项目提供了一个广泛适用于其他医疗环境中QI工作的基础设施。