Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRISM) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA.
VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, HSR&D Mail Code 11H, 1481 West 10th Street, Indianapolis, IN, 46202, USA.
BMC Health Serv Res. 2022 Jul 4;22(1):857. doi: 10.1186/s12913-022-08207-8.
To evaluate quality improvement sustainment for Transient Ischemic Attack (TIA) and identify factors influencing sustainment, which is a challenge for Learning Healthcare Systems.
Mixed methods were used to assess changes in care quality across periods (baseline, implementation, sustainment) and identify factors promoting or hindering sustainment of care quality. PREVENT was a stepped-wedge trial at six US Department of Veterans Affairs implementation sites and 36 control sites (August 2015-September 2019). Quality of care was measured by the without-fail rate: proportion of TIA patients who received all of the care for which they were eligible among brain imaging, carotid artery imaging, neurology consultation, hypertension control, anticoagulation for atrial fibrillation, antithrombotics, and high/moderate potency statins. Key informant interviews were used to identify factors associated with sustainment.
The without-fail rate at PREVENT sites improved from 36.7% (baseline, 58/158) to 54.0% (implementation, 95/176) and settled at 48.3% (sustainment, 56/116). At control sites, the without-fail rate improved from 38.6% (baseline, 345/893) to 41.8% (implementation, 363/869) and remained at 43.0% (sustainment, 293/681). After adjustment, no statistically significant difference in sustainment quality between intervention and control sites was identified. Among PREVENT facilities, the without-fail rate improved ≥2% at 3 sites, declined ≥2% at two sites, and remained unchanged at one site during sustainment. Factors promoting sustainment were planning, motivation to sustain, integration of processes into routine practice, leadership engagement, and establishing systems for reflecting and evaluating on performance data. The only factor that was sufficient for improving quality of care during sustainment was the presence of a champion with plans for sustainment. Challenges during sustainment included competing demands, low volume, and potential problems with medical coding impairing use of performance data. Four factors were sufficient for declining quality of care during sustainment: low motivation, champion inactivity, no reflecting and evaluating on performance data, and absence of leadership engagement.
Although the intervention improved care quality during implementation; performance during sustainment was heterogeneous across intervention sites and not different from control sites. Learning Healthcare Systems seeking to sustain evidence-based practices should embed processes within routine care and establish systems for reviewing and reflecting upon performance.
Clinicaltrials.gov ( NCT02769338 ).
为了评估短暂性脑缺血发作(TIA)的质量改进维持情况,并确定影响维持的因素,这是学习型医疗保健系统面临的挑战。
采用混合方法评估了不同时期(基线、实施、维持)的护理质量变化,并确定了促进或阻碍护理质量维持的因素。PREVENT 是在美国六个退伍军人事务部实施点和 36 个对照点进行的一项阶梯式楔形试验(2015 年 8 月至 2019 年 9 月)。护理质量通过无失败率来衡量:有资格接受脑成像、颈动脉成像、神经病学咨询、高血压控制、房颤抗凝、抗血栓、高/中效他汀类药物的 TIA 患者中,实际接受所有治疗的比例。关键知情人访谈用于确定与维持相关的因素。
PREVENT 点的无失败率从 36.7%(基线,58/158)提高到 54.0%(实施,95/176),并稳定在 48.3%(维持,56/116)。在对照点,无失败率从 38.6%(基线,345/893)提高到 41.8%(实施,363/869),并保持在 43.0%(维持,293/681)。调整后,干预组和对照组之间的维持质量没有统计学上的显著差异。在 PREVENT 设施中,有 3 个站点的无失败率提高了≥2%,有 2 个站点的无失败率下降了≥2%,而 1 个站点的无失败率在维持期间保持不变。促进维持的因素包括计划、维持的动力、将流程整合到常规实践中、领导层参与以及建立反映和评估绩效数据的系统。在维持期间提高护理质量的唯一充分因素是有一位有维持计划的冠军。维持期间的挑战包括竞争需求、低容量以及医疗编码潜在问题影响绩效数据的使用。有 4 个因素足以导致维持期间的护理质量下降:动机低、冠军不活跃、不反映和评估绩效数据、以及领导层不参与。
尽管干预措施在实施期间提高了护理质量;但在维持期间,干预点的表现存在差异,与对照点没有差异。寻求维持基于证据的实践的学习型医疗保健系统应将流程嵌入常规护理中,并建立审查和反映绩效的系统。
Clinicaltrials.gov(NCT02769338)。