Evidence map›Paper›PMID 36540147›Full record

ArticleNeurology. Clinical practice2022

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

Maryam J Syed, Rohit Marawar, Maysaa M Basha, Deepti Zutshi

Open access · greenAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Maryam J SyedDepartment of Neurology, Wayne State University School of Medicine, Detroit, MI.
Rohit MarawarDepartment of Neurology, Wayne State University School of Medicine, Detroit, MI.
Maysaa M BashaDepartment of Neurology, Wayne State University School of Medicine, Detroit, MI.
Deepti ZutshiDepartment of Neurology, Wayne State University School of Medicine, Detroit, MI.
Wayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Identifiers

PMID36540147
PMCPMC9757105
OpenAlexW4304807429

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.