Evidence map›Paper›PMID 38172184›Full record

ArticleScientific reports2024

Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.

Marvello Yang, Abdullah Al Mamun, Jingzu Gao, Muhammad Khalilur Rahman, Anas A Salameh, Syed Shah Alam

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
35.7field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Marvello YangFaculty of Entrepreneurship, Institute of Technology and Business Sabda Setia Pontianak, Kota Pontianak, Kalimantan Barat, 78121, Indonesia.
Abdullah Al MamunUKM - Graduate School of Business, Universiti Kebangsaan, Malaysia, UKM, 43600, Bangi, Selangor Darul Ehsan, Malaysia. almamun@ukm.edu.my.
Jingzu GaoUKM - Graduate School of Business, Universiti Kebangsaan, Malaysia, UKM, 43600, Bangi, Selangor Darul Ehsan, Malaysia.
Muhammad Khalilur RahmanFaculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia.
Anas A SalamehCollege of Business Administration, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia.
Syed Shah AlamUKM - Graduate School of Business, Universiti Kebangsaan, Malaysia, UKM, 43600, Bangi, Selangor Darul Ehsan, Malaysia.
National University of Malaysia · MYPrince Sattam Bin Abdulaziz University · SAUniversiti Malaysia Kelantan · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing the growing popularity of mobile health (m-Health) technology in the health industry, the current study examined consumers' intention and behaviour related to the usage of digital applications based on the unified theory of acceptance and use of technology (UTAUT). In particular, this study quantitatively assessed the moderating role of perceived product value and mediating role of intention to use m-Health application among Indonesians. This study adopted a cross-sectional design and collected quantitative data from conveniently selected respondents through an online survey, which involved 2068 Telegram users in Indonesia. All data were subjected to the analysis of partial least square- structural equation modeling (PLS-SEM). The obtained results demonstrated the moderating effect of perceived product value on the relationship between intention to use m-Health application (m-health app) and actual usage of m-Health app and the mediating effects of intention to use m-Health app on the relationships of perceived critical mass, perceived usefulness, perceived convenience, perceived technology accuracy, and perceived privacy protection on actual usage of m-Health app. However, the intention to use m-Health app did not mediate the influence of health consciousness and health motivation on the actual usage of m-Health app. Overall, this study's findings on the significance of intention to use m-Health app and perceived product value based on the UTAUT framework serve as insightful guideline to expand the usage of m-Health app among consumers.

Indexed as

Mobile ApplicationsTelemedicineCross-Sectional StudiesHumansIntentionMotivationSoutheast Asian People

Identifiers

PMID38172184
PMCPMC10764358
OpenAlexW4390572205

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.