Evidence map›Paper›PMID 39439725›Full record

ArticleDigital health

Role of mobile health applications in prevention and detection of pandemic disease: A population perspective.

Amal Ahmed Elbilgahy, Mada Huwaydi Alenezi, Aseel Hamed Alruwaili, Sarah Muteb Alhathal

Abstract read
In one paragraph

Article in Digital health. 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
–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

2 citing papers in PubMed.

  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

4 authors.

Amal Ahmed ElbilgahyMaternal & Child Health Nursing Department, Faculty of Nursing, Northern Border University, Arar, Saudi Arabia.ORCID https://orcid.org/0000-0002-0465-6061
Mada Huwaydi AleneziMaternal & Child Health Nursing Department, Faculty of Nursing, Northern Border University, Arar, Saudi Arabia.
Aseel Hamed AlruwailiMaternal & Child Health Nursing Department, Faculty of Nursing, Northern Border University, Arar, Saudi Arabia.
Sarah Muteb AlhathalMaternal & Child Health Nursing Department, Faculty of Nursing, Northern Border University, Arar, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Saudi government and the MOH launched six mobile application help in tracking positive cases, get medical consultation from home, and vaccination for coronavirus disease 2019 (COVID-19). Our study was conducted to evaluate the role of mobile health applications in the prevention and detection of pandemic disease from population perspectives. Methods: A cross-sectional descriptive exploratory research design was utilized in this study. Based on the sample size calculation (described below), we recruited a convenience sample of 462 participants from the Northern Border Region according to the set of inclusion and exclusion criteria: Anyone over 12 years of age, including both genders and both Saudi citizens and non-Saudi citizens, were eligible to participate during the period from March 2022 to the end of July. Results: In total 462 were participated, and 79.2% of them were females. There was a statistically significant difference between educational level and the overall score of public satisfaction with the ease of use of mobile health applications as well as overall satisfaction with the services provided by mobile health apps during the COVID-19 pandemic. Additionally, there was a statistically significant difference between gender and the role of mobile applications in the prevention of COVID-19 ( Conclusion: The study found that most participants agree that the mobile health applications launched by the Saudi government and Ministry of Health have been successful in aiding the anticipation and early detection of COVID-19 cases, as well as facilitating access to healthcare services. Over half of the participants strongly agree that these mobile applications have been very effective and beneficial for their health and have helped save time.

Indexed as

mobile health appPandemic COVID-19public perception and satisfaction

Identifiers

PMID39439725
PMCPMC11494666

What OpenQuestion holds

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LicenceCC BY-NC
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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.