Evidence map›Paper›PMID 37288418›Full record

ArticleJournal of education and health promotion2023

Designing an acceptance model and using public health apps by Iranian users.

Shahrzad Ghalyan, Sedighe Heydarinejad, Rasool Nouri, Amin Khatibi

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Shahrzad GhalyanDepartment of Sport Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Sedighe HeydarinejadDepartment of Sport Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Rasool NouriDepartment of Health Information Technology Research Center, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Amin KhatibiDepartment of Sport Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNowadays, there are hundreds of mobile applications related to sports, health and fitness. The benefits of using mobile phones in physical activity can be seen in the increasing use of mobile health applications. The purpose of this study was to design a behavioral model of acceptance and use of public health apps by Iranian users. MATERIALS AND

methodsThe present study was a qualitative and exploratory approach that was conducted based on the theme analysis method (team). The statistical population included programmers and designers of sports programs and academic specialists in the field of sports and computers. Data collection was performed through review of documents, backgrounds and semi-structured interviews. The interviews were conducted in person or by telephone and each interview lasted about 20 to 40 minutes.

resultsIn total, 249 key points with marker codes were extracted from 14 interviews which were classified into 21 sub-themes and 6 main themes (app quality, digital literacy, social influences, facilitating conditions, intention to use, trust and accept the app. Finally, the pattern of acceptance and use of health apps by Iranian users were presented in accordance with UTAUT theory.

conclusionThe results of this study can help the officials of the federation, public sports boards and clubs to use information and communication technology as a media in their strategies and programs to develop sports and health at the community level. It also contributes to social vitality and improves the quality of life of individuals.

Indexed as

Healthmobile applicationphysical fitness

Identifiers

PMID37288418
PMCPMC10243436

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.