Evidence map›Paper›PMID 27214198›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016

A Flexible and Integrated System for the Remote Acquisition of Neuropsychological Data in Stroke Research.

Corrine Durisko, Michael McCue, Patrick J Doyle, Michael Walsh Dickey, Julie A Fiez

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Article
  4. Comparing the Reliability of Virtual and In-Person Post-Stroke Neuropsychological Assessment with Language Tasks.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2023
    Article
  5. Review
  6. Review
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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

5 authors.

Corrine Durisko1 Learning Research and Development Center, University of Pittsburgh , Pittsburgh, Pennsylvania.
Michael McCue2 Department of Rehabilitation Science and Technology, University of Pittsburgh , Pittsburgh, Pennsylvania.
Patrick J Doyle3 Geriatric Research, Education, and Clinical Center, VA Pittsburgh Healthcare System , Pittsburgh, Pennsylvania.
Michael Walsh Dickey3 Geriatric Research, Education, and Clinical Center, VA Pittsburgh Healthcare System , Pittsburgh, Pennsylvania.
Julie A Fiez1 Learning Research and Development Center, University of Pittsburgh , Pittsburgh, Pennsylvania.

Funding

Remote Neuropsychological Assessment: A Proof-of-Concept TestR21DC013568 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FIEZ, JULIE A · 2014 to 2015
$421k
NIDCD NIH HHS R21 DC013568
6 · The paper itself

Abstract

backgroundNeuropsychological testing is a central aspect of stroke research because it provides critical information about the cognitive-behavioral status of stroke survivors, as well as the diagnosis and treatment of stroke-related disorders. Standard neuropsychological methods rely upon face-to-face interactions between a patient and researcher, which creates geographic and logistical barriers that impede research progress and treatment advances.

introductionTo overcome these barriers, we created a flexible and integrated system for the remote acquisition of neuropsychological data (RAND). The system we developed has a secure architecture that permits collaborative videoconferencing. The system supports shared audiovisual feeds that can provide continuous virtual interaction between a participant and researcher throughout a testing session. Shared presentation and computing controls can be used to deliver auditory and visual test items adapted from standard face-to-face materials or execute computer-based assessments. Spoken and manual responses can be acquired, and the components of the session can be recorded for offline data analysis. MATERIALS AND

methodsTo evaluate its feasibility, our RAND system was used to administer a speech-language test battery to 16 stroke survivors with a variety of communication, sensory, and motor impairments. The sessions were initiated virtually without prior face-to-face instruction in the RAND technology or test battery.

resultsNeuropsychological data were successfully acquired from all participants, including those with limited technology experience, and those with a communication, sensory, or motor impairment. Furthermore, participants indicated a high level of satisfaction with the RAND system and the remote assessment that it permits.

conclusionsThe results indicate the feasibility of using the RAND system for virtual home-based neuropsychological assessment without prior face-to-face contact between a participant and researcher. Because our RAND system architecture uses off-the-shelf technology and software, it can be duplicated without specialized expertise or equipment. In sum, our RAND system offers a readily available and promising alternative to face-to-face neuropsychological assessment in stroke research.

Indexed as

AgedBiomedical ResearchComputer SecurityCooperative BehaviorFemaleHumansLanguage DisordersMaleMiddle AgedNeuropsychological TestsPatient SatisfactionStrokeTelemedicineVideoconferencingbehavioral healthcardiology/cardiovascular diseasetelemedicineteleneurologytelepsychiatry

Identifiers

PMID27214198
PMCPMC5165659

What OpenQuestion holds

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Registered trials

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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.