Evidence map›Paper›PMID 40641569›Full record

ArticleNeurology. Clinical practice2025

Usability, Face Validity, Feasibility, and Reliability of 3 Neurocritical Care Electronic Clinical Quality Measures.

Abhijit Vijay Lele, Emma Pendl-Robinson, Samuel Simon, Keith Dombrowski, Bradley J Kolls, Matthew W Luedke, Christine T Fong, Erin Lee, Paul M Vespa, Sarah Livesay and 2 more

Abstract readComment
In one paragraph

Article in Neurology. Clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Abhijit Vijay LeleDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle.ORCID https://orcid.org/0000-0002-6956-538X
Emma Pendl-RobinsonMathematica Policy Research.
Samuel SimonMathematica Policy Research.
Keith DombrowskiDepartment of Neurology, USF Morsani College of Medicine, Tampa.
Bradley J KollsDuke University Medical Center, Durham, NC.ORCID https://orcid.org/0000-0002-8704-8749
Matthew W LuedkeDuke University Medical Center, Durham, NC.ORCID https://orcid.org/0000-0002-1564-0241
Christine T FongDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle.
Erin LeeAmerican Academy of Neurology.
Paul M VespaUniversity of California Los Angeles; and.
Sarah LivesayRush University, Chicago, IL.
Keri CalkinsMathematica Policy Research.
Dmitriy PoznyakMathematica Policy Research.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The field of neurology lacks neurocritical care (NCC) quality measures because of the complexity of neurologic disorders and challenges in data collection, hindering efforts to assess care quality and improve patient outcomes. This study examined the feasibility, usability, and scientific acceptability of 3 new facility-level neurology electronic clinical quality measures (eCQMs): (1) adult patients with generalized convulsive status epilepticus (GCSE) treated with benzodiazepine within 20 minutes of arrival to the emergency department, (2) dexamethasone administration before or within an hour of the first dose of antibiotics in patients with acute bacterial meningitis (BM), and (3) immunomodulatory therapy [plasma exchange or IV immunoglobulin] for myasthenic crisis (MG). Methods: We evaluated the feasibility, usability, face validity, and reliability of the 3 eCQMs across 3 sites in the United States using a combination of qualitative and quantitative methodologies. The feasibility of reporting was evaluated by the percentage of data elements that do not require manual patient record review. Face validity was determined through semistructured clinician interviews and web survey, and usability was assessed through clinician interviews. Signal-to-noise reliability was calculated based on the testing data obtained from 3 hospitals. Results: The total number of denominator-eligible patients in the sample was 86 (GCSE), 88 (BM), and 193 (MG). The mean measure rates were as follows: GCSE, 12.3% (11.3%-13.3%); BM, 23.3% (10.8%-35.7%); and MG, 64.2% (46.2%-81.4%). All 3 eCQMs had high face validity (GCSE: 90%, BM: 90%, MG: 94%). The measures had high reliability: GCSE, 0.890 (0.816-0.963); BM, 0.817 (0.669-0.964); and MG, 0.958 (0.948-0.969). We found high feasibility for MG; however, BM and GCSE had feasibility concerns for several key data elements. Clinicians supported the measures' potential to improve care but expressed several usability concerns. Discussion: The eCQMs showed potential for being used for quality improvement. However, significant barriers to feasibility include inconsistent recording of diagnosis and procedure codes in electronic health records and underestimation of denominator and/or numerator cases, which hinder reporting in Centers for Medicare & Medicaid Services quality improvement programs. Continued refinement of the eCQM specifications is required before they can be implemented to enhance their impact on NCC quality.

Identifiers

PMID40641569
PMCPMC12240562

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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.