Evidence map›Paper›PMID 41089469›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2025

Exploring Multidrug-Resistant Gram-Positive Bacteria on Electronic Devices: A Comparative Experimental Study Based on the Gender of Healthcare and Nonhealthcare Workers.

Mawahib Ahmed, Shahad Nasser, Basmah Alharbi, Mohsina Huq, Amal Hussain, Amal Mackawy, Mishaal Alrasheed, Afshan Zeeshan Wasti

Abstract read
In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2025. 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. Review
  2. Review
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

8 authors.

Mawahib AhmedDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0009-0004-9550-7150
Shahad NasserDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.
Basmah AlharbiDepartment of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0000-0001-6863-469X
Mohsina HuqDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0009-0009-0583-6580
Amal HussainDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0000-0002-8708-3982
Amal MackawyDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0000-0002-6191-8267
Mishaal AlrasheedDepartment of Laboratory and Blood Bank, King Fahd Specialist Hospital, Buraydah 52211, Saudi Arabia.
Afshan Zeeshan WastiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID https://orcid.org/0000-0003-2709-306X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic device screens can harbor harmful microbes, potentially facilitating the transmission of diseases when users interact with these surfaces. This study aimed to investigate the presence of gram-positive bacterial contamination and identify potentially harmful bacteria in these screens. A total of 200 samples were collected from the screens of devices of healthcare and nonhealthcare workers. Cotton swabs collected samples from device screens, including cellphones and iPads/PCs. These samples were cultured and tested to identify bacterial organisms and then assessed for antibiotic resistance using the disc diffusion method. Statistical analysis was performed using the Results: This study found 12 types of bacteria on device screens used by healthcare and nonhealthcare workers, irrespective of sex. Conclusion: This research found that all the tested mobile phones harbored microorganisms, indicating they could transmit diseases. This emphasizes the critical need for hand hygiene following use to curtail the propagation of infection and bolster overall public health outcomes.

Indexed as

antibacterial resistancebacteriahealthcare professionalmicrobial contaminationmobile phone screenpathogenic bacteria

Identifiers

PMID41089469
PMCPMC12517987

What OpenQuestion holds

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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.