Evidence map›Paper›PMID 39219651›Full record

ArticleThe East African health research journal2023

Role of Mobile Phone Use in Spreading Multi-Drug Resistant Bacteria Implicated in Causation of Diarrheal and Nosocomial Infections at Kitale County Hospital.

Jumba Sande Godfrey, Kevin Mbogo, Antony W Wekesa

Abstract read
In one paragraph

Article in The East African health research journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jumba Sande GodfreyKitale County Hospital, Laboratory department, Trans Nzoia County.
Kevin MbogoJomo Kenyatta University of Agriculture and Technology, Biochemistry department, Juja, Kenya.
Antony W WekesaDivision of Vector Borne and Neglected Tropical Diseases, Bungoma County.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rapid advancement and penetration of mobile phone technology has made the devices indispensable professional, social, and networking tools. However, the impact of their use in the spread of multi-drug resistant diarrheal-causing bacteria is less understood. Objective: The aim of this study was to determine the practices of mobile phone use among healthcare workers, paediatric patients' caretakers, and paediatric inpatients with diarrhoea at Kitale County Referral Hospital, and identify the associated risk of spread of bacteria, including multi-drug resistant strains on the mobile phones. Method: Questionnaires were administered to research participants and swabs were collected from mobile phones of consenting healthcare workers and paediatric patients' caretakers for further analysis. Stool samples were also collected from paediatric study participants diagnosed with gastroenteritis. Culture was done following standard microbiological procedures. Isolate identification, antibiotic susceptibility profile, and MDR phenotypes were tested using the Vitek 2 Compact microbiology analyzer. Gram-negative MDR isolates were then screened for selected carbapenemase genes using multiplex real-time PCR. Results: Only 38% of healthcare workers sanitize their handsets during or after work. The most common mobile phone bacterial isolate was Enterococcus faecalis (28.95%) followed by Staphylococcus aureus (18.42%). 58% of stool sample isolates were Vibrio cholera 01 serotype followed by Escherichia coli 0157.H7 (20%). Methicillin-resistant Staphylococcus aureus (43%) and Vancomycin Resistant Enterococcus (6%). BlaVIM was the most commonly detected gene from five isolates, including Vibrio cholera 01. Conclusion: The most common pathogen circulating on the mobile phones of healthcare workers and patients' caretakers at Kitale County Hospital is Enterococcus faecalis.

Identifiers

PMID39219651
PMCPMC11364187

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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.