Evidence map›Paper›PMID 35600252›Full record

ArticleSmart health (Amsterdam, Netherlands)2022

Environmental conditions, mobile digital culture, mobile usability, knowledge of app in COVID-19 risk mitigation: A structural equation model analysis.

Muhideen Sayibu, Jianxun Chu, Tosin Yinka Akintunde, Olayemi Hafeez Rufai, Tunde Simeon Amosun, Glory George-Ufot

Open access · greenAbstract read
In one paragraph

Article in Smart health (Amsterdam, Netherlands), 2022. 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
2.1field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Muhideen SayibuUniversity of Science and Technology of China, Anhui, Hefei, China.
Jianxun ChuUniversity of Science and Technology of China, Anhui, Hefei, China.
Tosin Yinka AkintundeDepartment of Sociology, School of Public Administration, Hohai University, Nanjing, 211100, China.
Olayemi Hafeez RufaiUniversity of Science and Technology of China, Anhui, Hefei, China.
Tunde Simeon AmosunUniversity of Science and Technology of China, Anhui, Hefei, China.
Glory George-UfotUniversity of Science and Technology of China, Anhui, Hefei, China.
University of Science and Technology of China · CNHohai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The mobile digital culture (MDC) supports individual lives, communities, and real-time organizational surveillance during COVID-19 emergencies. Hence, the study examined the advancement in smart health devices evidence in smartphone apps technologies in surveillance, control, and tracking potential virus areas among high-risk populations. Objective: The study explored how environmental condition and MDC mediates between knowledge of App and mobile usability in the prevention of COVID-19 infection in high-risk areas. Methods: Using the concept of UTAUT, the study conceptualized that mobile usability, MDC, knowledge of App and environmental condition, are essential for COVID-19 mitigation. A cross-sectional method was adopted through an online survey to assess data from n = 459 mobile users. The association of the study models was appraised through structural equation models (Amos v.24.0). Result: We found mobile usability, knowledge of App, and MDC were statistically significant to COVID-19 mitigation. Environment condition as mediator had no effect in the study models. However, moderating effect of MDC shows a negative influence on the association between COVID-19 mitigation and knowledge of apps. Conclusion: Future policies should consider the development of mHealth technology to improve end-user experience. Also, future policies should entail data privacy to reduce the infringement of data collected. This approach will lead to a confidential, high acceptance of usability of mHealth apps infectious disease prevention.

Indexed as

Covid-19 mitigationCSM, Collaborative self-managementEC, Environmental ConditionsIEQ, Indoors Environmental QualitiesKnowledge appsMDC, Mobile Digital CultureMobile digital cultureMobile healthMU, Mobile UsabilityNCIRD, National Centre for Immunization and Respiratory DiseasesTechnology surveillanceUTAUT, Unified Theory of Acceptance and Use of Technology

Identifiers

PMID35600252
PMCPMC9110057
OpenAlexW4280492996

What OpenQuestion holds

Textmetadata
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.