Evidence map›Paper›PMID 31907010›Full record

ArticleJournal of neuroengineering and rehabilitation2020

Clinician awareness of brain computer interfaces: a Canadian national survey.

Sasha Letourneau, Ephrem Takele Zewdie, Zeanna Jadavji, John Andersen, Lee M Burkholder, Adam Kirton

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

6 authors at 2 institutions in 1 country.

Sasha LetourneauDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive N.W., Calgary, AB, T2N 1N4, Canada.
Ephrem Takele ZewdieDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive N.W., Calgary, AB, T2N 1N4, Canada.
Zeanna JadavjiDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive N.W., Calgary, AB, T2N 1N4, Canada.
John AndersenDepartment of Pediatrics, University of Alberta, 116 St. and 85 Ave, Edmonton, AB T6G 2R3, Canada.
Lee M BurkholderDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive N.W., Calgary, AB, T2N 1N4, Canada.
Adam KirtonDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive N.W., Calgary, AB, T2N 1N4, Canada. Adam.Kirton@albertahealthservices.ca.
University of Calgary · CAUniversity of Alberta · CA

Funding

CIHR 10075523
6 · The paper itself

Abstract

backgroundIndividuals with severe neurological disabilities but preserved cognition, including children, are often precluded from connecting with their environments. Brain computer interfaces (BCI) are a potential solution where advancing technologies create new clinical opportunities. We evaluated clinician awareness as a modifiable barrier to progress and identified eligible populations.

methodsWe executed a national, population-based, cross-sectional survey of physician specialists caring for persons with severe disability. An evidence- and experience-based survey had three themes: clinician BCI knowledge, eligible populations, and potential impact. A BCI knowledge index was created and scored. Canadian adult and pediatric neurologists, physiatrists and a subset of developmental pediatricians were contacted. Secure, web-based software administered the survey via email with online data collection.

resultsOf 922 valid emails (664 neurologists, 253 physiatrists), 137 (15%) responded. One third estimated that ≥10% of their patients had severe neurological disability with cognitive capacity. BCI knowledge scores were low with > 40% identifying as less than "vaguely aware" and only 15% as "somewhat familiar" or better. Knowledge did not differ across specialties. Only 6 physicians (4%) had patients using BCI. Communication and wheelchair control rated highest for potentially improving quality of life. Most (81%) felt BCI had high potential to improve quality of life. Estimates suggested that > 13,000 Canadians (36 M population) might benefit from BCI technologies.

conclusionsDespite high potential and thousands of patients who might benefit, BCI awareness among clinicians caring for disabled persons is poor. Further, functional priorities for BCI applications may differ between medical professionals and potential BCI users, perhaps reflecting that clinicians possess a less accurate understanding of the desires and needs of potential end-users. Improving knowledge and engaging both clinicians and patients could facilitate BCI program development to improve patient outcomes.

Indexed as

Brain-Computer InterfacesHealth Knowledge, Attitudes, PracticeNeurologistsPhysiatristsAdultCanadaChildCross-Sectional StudiesFemaleHumansMalePersons with DisabilitiesQuality of LifeSurveys and QuestionnairesBrain computer interfaceCerebral palsyNeuromuscular disordersNeuro-rehabilitationQuality of lifeRehabilitationSpinal cord injuryStroke

Identifiers

PMID31907010
PMCPMC6945584
OpenAlexW2999278658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.