Evidence map›Paper›PMID 36910572›Full record

ArticleFrontiers in digital health2023

SMS-text messaging for collecting outcome measures after acute stroke.

Julie A DiCarlo, Kimberly S Erler, Marina Petrilli, Kristi Emerson, Perman Gochyyev, Lee H Schwamm, David J Lin

Abstract read
In one paragraph

Article in Frontiers in digital health, 2023. 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
  2. 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

7 authors.

Julie A DiCarloDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Kimberly S ErlerSchool of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, United States.
Marina PetrilliSchool of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, United States.
Kristi EmersonDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Perman GochyyevSchool of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, United States.
Lee H SchwammDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
David J LinDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional methods for obtaining outcomes for patients after acute stroke are resource-intensive. This study aimed to examine the feasibility, reliability, cost, and acceptability of collecting outcomes after acute stroke with a short message service (SMS)-text messaging program. Methods: Patients were enrolled in an SMS-text messaging program at acute stroke hospitalization discharge. Participants were prompted to complete assessments including the modified Rankin scale (mRS) and Patient-Reported Outcomes Measurement (PROM) Information System Global-10 at 30, 60, and 90 days postdischarge Results: Of the 350 patients who agreed to receive SMS texts, 40.5% responded to one or more assessments. Assessment responders were more likely to have English listed as their preferred language ( Conclusions: While further validation is required, our findings suggest that SMS texting is a feasible method for gathering outcomes after stroke at scale to evaluate the efficacy of acute stroke treatments.

Indexed as

digital healthoutcomesrecoverySMS-textstroke

Identifiers

PMID36910572
PMCPMC9996089

What OpenQuestion holds

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LicenceCC BY
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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.