Evidence mapPaperPMID 39806369Full record

ArticleBMC health services research2025

Mobile health in communication disorders: willingness to use, attitude, advantages, and challenges from the perspective of patients.

Taleb Khodaveisi, Hamid Bouraghi, Soheila Saeedi, Marjan Ghazisaeedi, Mohammad-Sadegh Seifpanahi, Shokofeh Ahsanifar, Sara Vafaeeyan

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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.

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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

7 authors.

Taleb KhodaveisiDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Shahid Fahmideh Blvd, Hamadan, Iran.
Hamid BouraghiDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Shahid Fahmideh Blvd, Hamadan, Iran.
Soheila SaeediDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Shahid Fahmideh Blvd, Hamadan, Iran. soheila.saeedi2021@gmail.com.
Marjan GhazisaeediDepartment of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad-Sadegh SeifpanahiDepartment of Speech and Language Pathology, School of Rehabilitation Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Shokofeh AhsanifarDepartment of Speech and Language Pathology, School of Rehabilitation Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Sara VafaeeyanDepartment of Speech and Language Pathology, School of Rehabilitation Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

Hamadan University of Medical Sciences IR.UMSHA.REC.1400.524
6 · The paper itself

Abstract

introductionCommunication disorders are one of the most common disorders that, if not treated in childhood, can cause many social, educational, and psychological problems in adulthood. One of the technologies that can be helpful in these disorders is mobile health (m-Health) technology. This study aims to examine the attitude and willingness to use this technology and compare the advantages and challenges of this technology and face-to-face treatment from the perspective of patients.

methodsThis descriptive study was conducted with a researcher-made questionnaire and investigated the willingness and attitude of patients with communication disorders to use mobile health technology. The face and content validity of the questionnaire were examined with the help of experts in speech therapy, health information management, and medical informatics. Chi-square, Fisher's exact test, and the Kruskal-Wallis test were used to analyze the relationship between variables. Also, the challenges and advantages of mobile health technology and face-to-face treatment were extracted from the patient's answers and presented in the form of main themes and sub-themes.

resultsOne hundred seventy patients participated in this study. The results of this study showed that 57 (33.5%) participants preferred face-to-face visits, 11 (6.5%) preferred m-Health, and 102 (60.0%) preferred the combination of mobile applications and the face-to-face visits method. The results showed a statistically significant relationship between "Residence (rural or urban)", "Having trouble traveling to speech therapy centers", and "Delaying treatment due to lack of access to speech therapists" with treatment methods (face-to-face, mobile health, face to face and mobile health). Accessibility and convenience, treatment efficacy and variety, patient empowerment and confidence, family involvement and support, cost and time efficiency, treatment adherence and completion, and comfort and lifestyle compatibility were six categories related to the advantages of mobile health technology from the point of view of patients with communication disorders. Also, technological challenges, effectiveness and quality concerns, patient experience and engagement, and trust and confidence issues were mobile health challenges from the patients' point of view.

conclusionThe results of this study showed that patients tend to use both face-to-face interactions and mobile health. Integrating both m-Health and traditional methods can optimize speech therapy outcomes. Addressing challenges such as inadequate technological infrastructure and data security is crucial for successful implementation.

Indexed as

Communication DisordersPatient Acceptance of Health CareTelemedicineAdolescentAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAdvantagesAttitudesChallengesCommunication disordersMobile health

Identifiers

PMID39806369
PMCPMC11730798

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.