Department of Surgery, Indiana University School of Medicine, Indianapolis, IN.
Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
J Am Coll Surg. 2019 Apr;228(4):368-373. doi: 10.1016/j.jamcollsurg.2018.12.013. Epub 2019 Jan 6.
Surgeons in academic medical centers have traditionally taken a siloed approach to reducing postoperative complications. We initiated a project focusing on transparency and sharing of data to engage surgeons in collaborative quality improvement. Its key features were the development of a comprehensive department quality dashboard and the creation of the Clinical Operations Council that oversaw quality. The purpose of this study was to assess the impact of those efforts.
We compared inpatient outcomes before and after our intervention, allowing one quarter as the diffusion period. The outcomes analyzed were: risk-adjusted length of stay, mortality, direct cost and unadjusted incidence of complications, and 30-day all-cause readmissions, as determined by the Vizient Clinical Database. We examined the outcomes of three groups: group 1 (surgery); group 2, all other surgical departments (other surgery); and group 3, all other patients (non-surgery). Two-tailed Student's t-test was used for analysis and p < 0.05 was considered statistically significant.
Group 1 demonstrated statistically significant improvements in mortality (p = 0.01), length of stay (p = 0.002), cost (p = 0.0001), and complications (p = 0.02), and the all-cause readmission rate was unchanged, resulting in mean decrease of 0.55 length of stay days and direct cost savings of $2,300 per surgical admission. The comparison groups had only modest decreases in some of the analyzed outcomes and an increase in complication rates.
These data suggest that a collaborative, data-driven, and transparent approach to assessing the quality of surgical care can yield significant improvements in patient outcomes.
学术医学中心的外科医生传统上采取孤立的方法来减少术后并发症。我们启动了一个专注于透明度和数据共享的项目,以促使外科医生参与协作质量改进。其主要特点是开发全面的部门质量仪表板和创建监督质量的临床运营委员会。本研究的目的是评估这些努力的影响。
我们比较了干预前后的住院患者结局,将一个季度作为扩散期。分析的结果是:风险调整后的住院时间、死亡率、直接成本和未调整的并发症发生率以及 30 天全因再入院率,由 Vizient 临床数据库确定。我们检查了三组患者的结果:第 1 组(手术);第 2 组,所有其他外科科室(其他手术);和第 3 组,所有其他患者(非手术)。采用双尾学生 t 检验进行分析,p < 0.05 被认为具有统计学意义。
第 1 组在死亡率(p = 0.01)、住院时间(p = 0.002)、成本(p = 0.0001)和并发症(p = 0.02)方面有统计学意义的改善,全因再入院率保持不变,导致平均住院时间减少 0.55 天,每个手术入院的直接成本节省 2300 美元。对照组仅在一些分析结果中有适度的下降,并且并发症发生率增加。
这些数据表明,采用协作、数据驱动和透明的方法评估外科护理质量可以显著改善患者结局。