Baughn Julie M, Lechner Hannah G, Herold Daniel L, Brown Virginia A, Moore Wendy R, Harris Cameron D, Stehr Heidi I, Sorensen Channing M, Cleveland Eric J, Akason James D, Morgenthaler Timothy I, Lloyd Robin M
Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota.
Department of Management Engineering & Internal Consulting, Mayo Clinic, Rochester, Minnesota.
J Clin Sleep Med. 2020 Jul 15;16(7):1037-1043. doi: 10.5664/jcsm.8386.
Pediatric polysomnography can result in suboptimal patient and provider (physician and advanced practice provider) experiences. We embarked on a project aimed at increasing the proportion of maximal satisfaction survey scores by a minimum of 10% in 1 year without adding personnel or major expenses.
We used a Six Sigma framework, define, measure, analyze, improve, and control (DMAIC), to conduct our analysis. For measurement, we designed a project-specific survey that was given to caregivers of children who underwent PSG in February 2018 and repeated the survey after interventions in February 2019. Lean and Six Sigma quality improvement tools were used to define important processes that influence patient satisfaction, including: supplier, input, process, output, customer, and requirements (SIPOC-R); journey mapping; 1-2-4-All brainstorming; and views solicited from our center's Patient and Family Advisory Council. We analyzed the relationships between identified processes and outcomes using usual descriptive statistics. We prioritized interventions using a Kano model and a quality function deployment (QFD) technique to rank priorities for interventions. Multiple opportunities to improve patient and family satisfaction before, during, and after a pediatric polysomnography were identified. Many were simple, one-step interventions and were implemented simultaneously. For those that required substantial training and/or scheduling changes, pilots were performed and plan, do, study, act (PDSA) cycles were used to check effectiveness.
After implementation, top box scores rose 20%, from 51% (n = 47) in 2018 to 71% (n = 50) in 2019.
Various quality improvement techniques employed in business, engineering, and manufacturing were used to identify and address areas of improvement in the pediatric polysomnography experience.
儿科多导睡眠图检查可能导致患者及医护人员(医生和高级执业医护人员)体验欠佳。我们开展了一个项目,目标是在不增加人员或大幅增加费用的情况下,在1年内将最大满意度调查得分的比例至少提高10%。
我们使用六西格玛框架,即定义、测量、分析、改进和控制(DMAIC)来进行分析。在测量方面,我们设计了一项针对特定项目的调查,将其发放给2018年2月接受多导睡眠图检查的儿童的看护人,并在2019年2月进行干预后再次进行该调查。运用精益和六西格玛质量改进工具来确定影响患者满意度的重要流程,包括:供应商、输入、流程、输出、客户和要求(SIPOC-R);流程映射;1-2-4-全员头脑风暴;以及从我们中心的患者及家庭咨询委员会征求意见。我们使用常规描述性统计分析已确定流程与结果之间的关系。我们使用卡诺模型和质量功能展开(QFD)技术对干预措施进行优先级排序,以确定干预的优先顺序。确定了在儿科多导睡眠图检查之前、期间和之后提高患者及家庭满意度的多个机会。许多都是简单的单步干预措施,并同时实施。对于那些需要大量培训和/或日程安排变更的措施,进行了试点,并使用计划-执行-研究-行动(PDSA)循环来检查有效性。
实施后,顶级评分从2018年的51%(n = 47)升至2019年的71%(n = 50),涨幅达20%。
商业、工程和制造业中采用的各种质量改进技术被用于识别和解决儿科多导睡眠图检查体验中的改进领域。