Evidence map›Paper›PMID 34730240›Full record

ArticleMuscle & nerve2022

Harnessing the power of the electronic health record for ALS research and quality improvement: CReATe CAPTURE-ALS and the ALS Toolkit.

Volkan Granit, Anne-Laure Grignon, Joanne Wuu, Jonathan Katz, David Walk, Sumaira Hussain, Jessica Hernandez, Carlayne Jackson, James Caress, Tom Yosick and 2 more

Abstract read
In one paragraph

Article in Muscle & nerve, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Volkan GranitDepartment of Neurology, University of Miami, Miami, Florida, USA.ORCID 0000-0002-6519-7225
Anne-Laure GrignonDepartment of Neurology, University of Miami, Miami, Florida, USA.
Joanne WuuDepartment of Neurology, University of Miami, Miami, Florida, USA.
Jonathan KatzDepartment of Neurology, California Pacific Medical Center, San Francisco, California, USA.
David WalkDepartment of Neurology, University of Minnesota, Minneapolis, Minnesota, USA.
Sumaira HussainDepartment of Neurology, University of Miami, Miami, Florida, USA.
Jessica HernandezDepartment of Neurology, University of Miami, Miami, Florida, USA.
Carlayne JacksonDepartment of Neurology, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA.
James CaressDepartment of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Tom YosickEpic, Verona, Wisconsin, USA.
Nancy SmiderEpic, Verona, Wisconsin, USA.
Michael BenatarDepartment of Neurology, University of Miami, Miami, Florida, USA.ORCID 0000-0003-4241-5135

Funding

The Impact of COVID-19 on People Living with Rare Diseases and Their FamiliesU2CTR002818 · NCATS · CINCINNATI CHILDRENS HOSP MED CTR · PI Maurizio Macaluso · 2019 to 2026
$51.2M
Uncovering new genes and disease modifiers for ALS and related disordersU54NS092091 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Michael Benatar · 2014 to 2026
$19.8M
NCATS NIH HHS U2C TR002818NINDS NIH HHS U54 NS092091
6 · The paper itself

Abstract

The electronic health record (EHR) is designed principally to support the provision and documentation of clinical care, as well as billing and insurance claims. Broad implementation of the EHR, however, also yields an opportunity to use EHR data for other purposes, including research and quality improvement. Indeed, effective use of clinical data for research purposes has been a long-standing goal of physicians who provide care for patients with ALS, but the quality and completeness of clinical data, as well as the burden of double data entry into the EHR and into a research database, have been persistent barriers. These factors provided motivation for the development of the ALS Toolkit, a set of interactive digital forms within the EHR that enable easy, consistent, and structured capture of information relevant to ALS patient care (as well as research and quality improvement) during clinical encounters. Routine use of the ALS Toolkit within the context of the CReATe Consortium's institutional review board-approved Clinical Procedures to Support Research in ALS (CAPTURE-ALS) study protocol, permits aggregation of structured ALS patient data, with the goals of empowering research and driving quality improvement. Widespread use of the ALS Toolkit through the CAPTURE-ALS protocol will help to ensure that ALS clinics become a driving force for collecting and aggregating clinical data in a way that reflects the true diversity of the populations affected by this disease, rather than the restricted subset of patients that currently participate in dedicated research studies.

Indexed as

Amyotrophic Lateral SclerosisPhysiciansElectronic Health RecordsHumansQuality Improvementamyotrophic lateral sclerosiselectronic medical recordguidelinesmotor neuron diseasequality improvement

Identifiers

PMID34730240
PMCPMC8752483

What OpenQuestion holds

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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.