Evidence map›Paper›PMID 38686866›Full record

ArticleJournal of the American Heart Association2024

Text Message-Based Assessment of 90-Day Modified Rankin Scale After Stroke.

Mohammad Hossein Abbasi, Kristy Yuan, Scott E Kasner, Ellen McPartland, Karrima C Owens, Kelly L Sloane

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Mohammad Hossein AbbasiDepartment of Neurology The University of Texas at Austin Dell Medical School Austin TX USA.ORCID 0000-0001-5812-2359
Kristy YuanDepartment of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
Scott E KasnerDepartment of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.ORCID 0000-0003-0418-6917
Ellen McPartlandDepartment of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.ORCID 0009-0001-9794-7094
Karrima C OwensDepartment of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
Kelly L SloaneDepartment of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.ORCID 0000-0001-9680-9565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe modified Rankin Scale (mRS) is commonly used to measure disability after stroke, traditionally assessed through telephone or in-person evaluation. Here, we investigated the validity of mRS assessment through an automated text messaging system based on the simplified mRS questionnaire as an alternative method to traditional methods of assessment. METHODS AND

resultsA total of 250 patients admitted to 3 hospitals within the University of Pennsylvania Health System with ischemic or hemorrhagic stroke were enrolled. Participants received automated text messages sent 48 hours before their outpatient appointment at about 90 days after stroke. The mRS scores were assigned on the basis of participant responses to 2 to 4 text questions eliciting yes/no responses. The mRS was then evaluated in person or by telephone interview for comparison. Responses were compared with κ. A total of 142 patients (57%) completed the study. The spontaneous response rate to text messages was 46.5% and up to 72% with an additional direct in-person or phone call reminder. Agreement was substantial (quadratic-weighted κ=0.87 [95% CI, 0.83-0.89]) between responses derived from the automated text messaging and traditional interviews. Agreement for distinguishing functional independence (mRS 0-1) from dependence (mRS 2-5) was substantial (unweighted κ=0.79 [95% CI, 0.69-0.90]).

conclusionsAn automated text messaging system is a feasible method for remotely obtaining the mRS after stroke and a potential alternative to traditional in-person or telephone assessment. Further studies are needed to evaluate the generalizability of text message-based approaches to stroke outcome measurement.

Indexed as

Disability EvaluationText MessagingAgedAged, 80 and overFemaleFunctional StatusHemorrhagic StrokeHumansIschemic StrokeMaleMiddle AgedPennsylvaniaPredictive Value of TestsRecovery of FunctionReproducibility of ResultsStrokedisabilitymodified Rankin Scalestroketelehealth

Identifiers

PMID38686866
PMCPMC11179808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.