Evidence map›Paper›PMID 35570952›Full record

ArticleFrontiers in public health2022

Prevalence and Determinants of Mobile Health Applications Usage: A National Descriptive Study.

Samar A Amer, Ayah Bahumayim, Jaffer Shah, Nouf Aleisa, Basma M Hani, Doaa I Omar

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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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.

Samar A AmerDepartment of Public Health and Community Medicine, Faculty of Medicine Zagazig University, Zagazig, Egypt.
Ayah BahumayimHealth Education Department, College of Applied Medical Sciences, King Saud University, King Khalid University Hospital, Riyadh, Saudi Arabia.
Jaffer ShahMedical Research Center, Kateb University, Kabul, Afghanistan.
Nouf AleisaHealth Education Department, College of Applied Medical Sciences, The General Directorate of Clinical Health Education Department, Ministry of Health, Riyadh, Saudi Arabia.
Basma M HaniDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Benha University, Benha, Egypt.
Doaa I OmarDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Benha University, Benha, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to determine the prevalence of MHAs' usage and explore the context and determinants of using MHAs among inhabitants in Saudi Arabia (SA). This cross-sectional study randomly selected 679 adult inhabitants from the 20 health regions in SA through an electronic, self-administered, well-structured, and validated Arabic questionnaire. The prevalence of using MHAs was 47.9%, and it was significantly higher among younger, Saudis, highly educated, and working participants, as well as those with chronic diseases (

Indexed as

Mobile ApplicationsTelemedicineAdultCross-Sectional StudiesFemaleHealth PromotionHumansPrevalencee-healthheath care applicationsmobile health applicationpublic health policy (PHP)Saudi Arabia

Identifiers

PMID35570952
PMCPMC9094068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.