Syed Maryam J, Marawar Rohit, Basha Maysaa M, Zutshi Deepti
Department of Neurology, Wayne State University School of Medicine, Detroit, MI.
Neurol Clin Pract. 2022 Dec;12(6):e143-e153. doi: 10.1212/CPJ.0000000000200080.
The retrospective nature of most available epilepsy quality improvement (QI) tools focuses on changing health care provider (HCP) clinical habits and documentation practices rather than a focus on real-time patient interventions. Furthermore, patient-reported outcome data are often not available to determine the efficacy of these tools. Our primary objective was to demonstrate the improvement of HCPs' documentation and review of epilepsy quality measures (EQMs) during the patient visit with the implementation of a novel web application, NeuroMeasures. Our secondary objective was to improve the percentage of point-of-care counseling and interventions based on quality measures during the patient encounter based on the results of the NeuroMeasures tool.
Our QI study focused on comparing a preintervention and postintervention cohort of patients with epilepsy (PWE) before the implementation of NeuroMeasures, a web-based application that takes a self-guided patient survey through self-scoring algorithms focused on the American Academy of Neurology (AAN)'s 2017 EQMs. This e-tool then provides the HCP a tool to directly review the EQMs highlighted and perform any necessary counseling or interventions at the point-of-care visit. After intervention, EQMs were gained from the review of the NeuroMeasures HCP quality measures tool and a chart review for physician documentation. Patients with language barriers and severe cognitive disabilities were excluded from the study.
The preintervention cohort consisted of 150 unique PWE, and the postintervention cohort included 379 unique adult PWE and 515 total encounters. Overall percentages of review/adherence of EQMs were significantly improved between the preintervention and postintervention group for counseling for women of childbearing potential (91.7%), intractable epilepsy referral to a comprehensive epilepsy center (74%), quality of life assessment (80%), improvement of quality of life measurements (41.7%), and depression and anxiety screening (85.6%), demonstrating a significant increase when compared with the preintervention group ( < 0.00001).
A web-based point-of-care EQM application demonstrated significant improvement of the HCP's ability to perform and review EQMs at the point-of-care patient visit. Furthermore, the application was successful in creating opportunities for direct intervention based on the EQMs and chances for better patient education and provider-patient communication. Further considerations would include automated survey requests and expansion into other AAN QMs.
大多数现有的癫痫质量改进(QI)工具具有回顾性,侧重于改变医疗服务提供者(HCP)的临床习惯和文档记录做法,而非实时患者干预。此外,通常无法获取患者报告的结局数据来确定这些工具的疗效。我们的主要目标是通过实施一种新型网络应用程序NeuroMeasures,证明在患者就诊期间HCP对癫痫质量指标(EQM)的文档记录和审查得到改善。我们的次要目标是根据NeuroMeasures工具的结果,提高患者就诊期间基于质量指标的即时护理咨询和干预的比例。
我们的QI研究重点是比较在实施NeuroMeasures之前和之后的癫痫患者(PWE)干预前和干预后队列。NeuroMeasures是一种基于网络的应用程序,通过专注于美国神经病学学会(AAN)2017年EQM的自我评分算法进行自我引导的患者调查。然后,这个电子工具为HCP提供一个工具,以直接审查突出显示的EQM,并在即时护理就诊时进行任何必要的咨询或干预。干预后,从NeuroMeasures HCP质量指标工具的审查和医生文档的图表审查中获取EQM。有语言障碍和严重认知障碍的患者被排除在研究之外。
干预前队列由150名独特的PWE组成,干预后队列包括379名独特的成年PWE和515次总就诊。干预前和干预后组之间,对于有生育潜力女性的咨询(91.7%)、难治性癫痫转诊至综合癫痫中心(74%)、生活质量评估(80%)、生活质量测量改善(41.7%)以及抑郁和焦虑筛查(85.6%)的EQM审查/依从总体百分比显著提高,与干预前组相比有显著增加(<0.00001)。
一种基于网络的即时护理EQM应用程序证明,HCP在即时护理患者就诊时执行和审查EQM的能力有显著提高。此外,该应用程序成功地为基于EQM的直接干预创造了机会,以及更好的患者教育和医患沟通的机会。进一步的考虑将包括自动调查请求以及扩展到其他AAN质量指标。