Examining the Telehealth Readiness Among Individuals With Multiple Sclerosis.

Farnaz Zare, Rezvan Rahimi, Hanieh Zehtab Hashemi, Leila Faghani, GholamHosein Ghaedi, Seyed Massood Nabavi

Abstract read

In one paragraph

Article in Journal of patient experience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Farnaz ZareDepartment of Laboratory Medicine, Faculty of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.ORCID https://orcid.org/0009-0004-8011-3327

Rezvan RahimiDepartment of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0002-9126-3599

Hanieh Zehtab HashemiDepartment of Health Informatics, Virtual University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-1174-4163

Leila FaghaniRegenerative Medicine Department, MS and Neurology Group, Royan Institute for Stem Cell Biology and Technology, Tehran, Iran.

GholamHosein GhaediPsychiatry Department, Mostafa Medical Center, Shahed University, Tehran, Iran.

Seyed Massood NabaviRegenerative Medicine Department, MS and Neurology Group, Royan Institute for Stem Cell Biology and Technology, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telehealth tools can enhance health-related information access and self-management for individuals with multiple sclerosis (MS). However, successful integration of telehealth services depends on acceptance by individuals with MS, which is influenced by their Technology Readiness Level. A 2-part questionnaire was administered: demographic information and the readiness level to use telehealth services based on the Technology Readiness Index (TRI 2.0) with 4 scales of optimism, innovativeness, insecurity, and discomfort. Data from 120 participants were analyzed using descriptive and inferential statistics. The mean readiness score was 3.266 (SD = 0.421,

Indexed as

digital healthmHealthmultiple sclerosistechnology readinesstelehealth

Identifiers

PMID41122110

DOI10.1177/23743735251383247

PMCPMC12536153

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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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.