Evidence map›Paper›PMID 34641856›Full record

ArticleBMC medical informatics and decision making2021

Determining the effect of tele-rehabilitation on patients with stutter using the goal attainment scaling (GAS).

Maryam Eslami Jahromi, Leila Ahmadian

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. 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
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Maryam Eslami JahromiDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-3843-6083
Leila AhmadianMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Haft-bagh Highway, PO Box: 7616913555, Kerman, Iran. ahmadianle@yahoo.com.ORCID 0000-0002-6487-2209
Iran University of Medical Sciences · IRKerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of proper and timely patients' access to speech pathologists can affect the treatment and follow-up process; therefore, patients do not achieve the expected therapeutic goals. The aim of this study was to determine the effect of tele-rehabilitation on the stuttering patients using the goal attainment scaling (GAS).

methodsThis interventional study was carried out on patients who visited the rehabilitation centers affiliated to the Jahrom Welfare Office. They underwent remote speech therapy using Skype. To evaluate the treatment outcomes of the stuttering patients, GAS was used.

resultsThe participants' speech and lingual skills improved using videoconferencing. The mean score of total GAS for patients was 53.08. Of 112 health goals, patients reached the expected or higher than expected levels in 78 goals.

conclusionsRehabilitation through video conferencing was effective for patients with stuttering, improved their speech, and decreased their stuttering. Since, application of remote rehabilitation services can provide regular access to healthcare services, it can lead to improving patient treatment provide more frequent and faster treatment follow-up.

Indexed as

StutteringTelerehabilitationActivities of Daily LivingGoalsHumansSpeechGoal attainment scalingSpeech therapyStutteringTele-rehabilitationVideo conferencing

Identifiers

PMID34641856
PMCPMC8507245
OpenAlexW3206595350

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.