McAllister Caitlin, Leykum Luci K, Lanham Holly, Reisinger Heather Schacht, Kohn Jamie L, Palmer Ray, Pezzia Carla, Agar Michael, Parchman Michael, Pugh Jacqueline, McDaniel Reuben R
School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
J Hosp Med. 2014 Dec;9(12):764-71. doi: 10.1002/jhm.2274. Epub 2014 Oct 30.
Improving inpatient care delivery has historically focused on improving individual components of the system. Applying the complexity science framework to clinical systems highlights the important role of relationships among providers in influencing system function and clinical outcomes.
To understand whether inpatient medical physician teams can be differentiated based on the relationships among team members, and whether these relationships are associated with patient outcomes, including length of stay (LOS), unnecessary length of stay (ULOS), and complication rates.
Eleven inpatient medicine teams were observed daily during attending rounds for 2- to 4-week periods from September 2008 through June 2011. Detailed field notes were taken regarding patient care activities, team behaviors, and patient characteristics and outcomes. Behaviors were categorized using the Lanham relationship framework, giving each team a relationship score. We used factor analysis to assess the pattern of relationship characteristics and assessed the association between relationship characteristics and patient outcomes.
Observations occurred at the Audie L. Murphy Veterans Affairs Hospital and University Hospital in San Antonio, Texas.
Physicians were chosen based on rotation schedules, experience, and time of year. Patients were included based on their admission to the inpatient medicine teams that were being observed.
Relationship scores were based on the presence or absence of 7 relationship characteristics. LOS, ULOS, and complication rates were assessed based on team discussions and chart review. The association between relationships and outcomes was assessed using the Kruskal-Wallis rank sum test.
We observed 11 teams over 352.9 hours, observing 1941 discussions of 576 individual patients. Teams exhibited a range of 0 to 7 relationship characteristics. Relationship scores were significantly associated with complication rates, and presence of trust and mindfulness among teams was significantly associated with ULOS and complication rates.
Our findings are an important step in understanding the impact of relationships on the outcomes of hospitalized medical patients. This understanding could expand the scope of interventions to improve hospital care to include not only process improvement but also relationships among providers.
历史上,改善住院治疗服务一直侧重于改进系统的各个组成部分。将复杂性科学框架应用于临床系统凸显了医疗服务提供者之间的关系在影响系统功能和临床结果方面的重要作用。
了解住院内科医生团队是否可以根据团队成员之间的关系进行区分,以及这些关系是否与患者的结局相关,包括住院时间(LOS)、不必要的住院时间(ULOS)和并发症发生率。
从2008年9月至2011年6月,在查房期间,对11个住院内科团队进行了为期2至4周的每日观察。记录了有关患者护理活动、团队行为以及患者特征和结局的详细现场笔记。使用兰厄姆关系框架对行为进行分类,为每个团队给出一个关系得分。我们使用因子分析来评估关系特征模式,并评估关系特征与患者结局之间的关联。
观察在德克萨斯州圣安东尼奥市的奥迪·L·墨菲退伍军人事务医院和大学医院进行。
根据轮班安排、经验和年份选择医生。根据患者入住被观察的住院内科团队情况将其纳入。
关系得分基于7种关系特征的存在与否。根据团队讨论和病历审查评估住院时间、不必要的住院时间和并发症发生率。使用克鲁斯卡尔 - 沃利斯秩和检验评估关系与结局之间的关联。
我们在352.9小时内观察了11个团队,观察了576名个体患者的1941次讨论。团队表现出0至7种不同的关系特征。关系得分与并发症发生率显著相关,团队中信任和专注的存在与不必要的住院时间和并发症发生率显著相关。
我们的研究结果是理解关系对住院内科患者结局影响的重要一步。这种理解可能会扩大改善医院护理的干预范围,不仅包括流程改进,还包括医疗服务提供者之间的关系。