Evidence map›Paper›PMID 35270445›Full record

ArticleInternational journal of environmental research and public health2022

Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study.

Munshi Muhammad Abdul Kader Jilani, Md Moniruzzaman, Mouri Dey, Edris Alam, Md Aftab Uddin

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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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

5 authors.

Munshi Muhammad Abdul Kader JilaniDepartment of Human Resource Management, Bangladesh Institute of Governance and Management (BIGM), Dhaka 1207, Bangladesh.ORCID 0000-0002-3109-2513
Md MoniruzzamanDepartment of Human Resource Management, Bangladesh Institute of Governance and Management (BIGM), Dhaka 1207, Bangladesh.ORCID 0000-0001-6236-3876
Mouri DeyDepartment of Accounting, University of Chittagong, Chattogram 4331, Bangladesh.ORCID 0000-0002-9274-7798
Edris AlamFaculty of Resilience, Rabdan Academy, Abu Dhabi P.O. Box 22401, United Arab Emirates.
Md Aftab UddinDepartment of Human Resource Management, University of Chittagong, Chattogram 4331, Bangladesh.ORCID 0000-0002-9101-7451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in mHealth apps and services have played a vital role in strengthening healthcare services and enabling their accessibility to marginalized people. With the alarming rise in COVID-19 infection rates around the world, there appears to be an urgent call to modernize traditional medical practices to combat the pandemic. This study aims to investigate the key factors influencing the trialability of mHealth apps/services and behavioral intention to adopt mobile health applications. The study also examines the moderating effects of self-discipline motivation, knowledge, and attitude on the relationship between trialability and behavioral intention to use. The deductive reasoning approach was followed in a positivism paradigm. The study used convenience sampling and collected responses from 280 Generation Y participants in Bangladesh. Partial least square-based structural equation modeling was employed. The results revealed that relative advantage (β = 0.229, p < 0.05), compatibility (β = 0.232, p < 0.05), complexity (β = −0.411, p < 0.05), and observability (β = 0.235, p < 0.05) of mHealth apps influence the trialability of mHealth apps and services among users. Trialability compatibility (β = 0.425, p < 0.05) of mHealth was positively related to the behavioral intention to use these mobile apps. The study found no moderating effects of attitude (β = 0.043, p > 0.05) or self-discipline motivation (β = −0.007, p > 0.05) on the hypothesized relationships. The empirical findings of this study may facilitate the development, design process, and implementation of mHealth applications with improved features that can lead to high user acceptance among Generation Y during future health crises.

Indexed as

COVID-19TelemedicineCross-Sectional StudiesHumansIntentionPandemicsSARS-CoV-2COVID-19DOI modelGeneration YmHealth

Identifiers

PMID35270445
PMCPMC8910131

What OpenQuestion holds

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LicenceCC BY
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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.