NeuroMeasures—Implementation of a Web-Based, Real-Time Quality Metric Tool to Improve Provider Practices in an Epilepsy Clinic

Background and Objectives 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.

Methods 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.

Results 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 (p < 0.00001).

Discussion 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.