Evidence map›Paper›PMID 30858754›Full record

ArticleTropical medicine and health2019

Bacterial contamination of mobile phones of health professionals in Eastern Ethiopia: antimicrobial susceptibility and associated factors.

Dagne Bodena, Zelelam Teklemariam, Senthilkumar Balakrishnan, Tewodros Tesfa

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Exploring Multidrug-Resistant Gram-Positive Bacteria on Electronic Devices: A Comparative Experimental Study Based on the Gender of Healthcare and Nonhealthcare Workers.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Antibiotic Susceptibility Patterns of ESEvidence-based complementary and alternative medicine : eCAM · 2022
    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 at 1 institution in 1 country.

Dagne Bodena1Hiwot Fana Specialized University Hospital, College of Health and Medical Sciences, Haramaya University, P.O. box 235, Harar, Ethiopia.
Zelelam Teklemariam2Department of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, P.O. box 235, Harar, Ethiopia.
Senthilkumar Balakrishnan3Department of Medical Microbiology, College of Health and Medical Sciences, Haramaya University, P.O. box 235, Harar, Ethiopia.
Tewodros Tesfa2Department of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, P.O. box 235, Harar, Ethiopia.ORCID 0000-0001-8274-2179
Haramaya University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phones of health care professionals could harbor microbes which cause nosocomial infections to the patient, family members, and the community at large. Thus, the aim of this study was to determine the prevalence of bacterial contamination of the mobile phones of health professionals, identify bacterial isolates, assess their antimicrobial susceptibility patterns, and define the associated factors.

methodA cross-sectional study was conducted from February to March 2018 on 226 health professionals' mobile phones which were selected by a simple random sampling technique. Data were collected using a self-administered questionnaire. A swab sample from each of health professional's mobile phone device was collected and transported to the microbiology laboratory for bacterial culture and antimicrobial susceptibility tests. Data were entered into EpiData version 3.1 and analyzed by using the Statistical Package for Social Sciences (SPSS) program version 20.

resultThe overall prevalence of mobile phone contamination with one or more bacteria was 94.2%. Coagulase-negative staphylococci (CoNS; 58.8%),

conclusionThere is a high contamination rate of mobile phones with nosocomial pathogens. Most of the isolates were resistant to ampicillin and trimethoprim-sulfamethoxazole and also multidrug-resistant. A mobile phone belonging to male health professionals and to those not disinfecting mobile phones was significantly contaminated with bacteria. Therefore, strategies for preventing nosocomial transmission of drug-resistant pathogens through mobile phones, like hand washing and cleaning mobile phones, are recommended.

Indexed as

Antimicrobial susceptibilityBacteriaEastern EthiopiaHealth care professionalHiwot Fana Specialized University HospitalMobile phone

Identifiers

PMID30858754
PMCPMC6391816
OpenAlexW2927391983

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.