Literature DB >> 25292217

Prevalence of antibacterial resistant bacterial contaminants from mobile phones of hospital inpatients.

B Vinod Kumar1, Yahya Hasan Hobani2, Ahmed Abdulhaq3, Ahmed Ali Jerah4, Othman M Hakami4, Magdeldin Eltigani4, Anil K Bidwai4.   

Abstract

Mobile phones contaminated with bacteria may act as fomites. Antibiotic resistant bacterial contamination of mobile phones of inpatients was studied. One hundred and six samples were collected from mobile phones of patients admitted in various hospitals in Jazan province of Saudi Arabia. Eighty-nine (83.9%) out of 106 mobile phones were found to be contaminated with bacteria. Fifty-two (49.0%) coagulase-negative Staphylococcus, 12 (11.3%) Staphylococcus aureus, 7 (6.6%) Enterobacter cloacae, 3 (2.83%) Pseudomonas stutzeri, 3 (2.83%) Sphingomonas paucimobilis, 2 (1.8%) Enterococcus faecalis and 10 (9.4%) aerobic spore bearers were isolated. All the isolated bacteria were found to be resistant to various antibiotics. Hence, regular disinfection of mobile phones of hospital inpatients is advised.

Entities:  

Keywords:  Antibacterial resistant; bacterial contaminants; mobile phones

Mesh:

Year:  2014        PMID: 25292217      PMCID: PMC4189012          DOI: 10.3402/ljm.v9.25451

Source DB:  PubMed          Journal:  Libyan J Med        ISSN: 1819-6357            Impact factor:   1.743


Health care–associated infections have increased significantly during the last decade. These infections remain a major cause of morbidity and mortality, which in turn lead to an increase in the cost of health care and also to new health care hazards for the community (1). Earle H Spaulding has categorized patient care items and instruments as critical, semi-critical and non-critical according to the degree of risk involved in use of the items (2). Non-critical items are further divided in to non-critical patient care items and non-critical environmental surfaces (3). Bedpans, blood pressure cuffs, crutches and computers are classified under non-critical patient care items. Bed rails, some food utensils, bedside tables, patient furniture and floors come under non-critical environmental surfaces. Surfaces of medical equipment such as x-ray machines, haemodialysis machines, stethoscopes and blood pressure cuffs can become contaminated with pathogens and lead to the spread of nosocomial infections (2). Health care workers and patients admitted in various hospitals use mobile phones for communication. As per the classification of Earle H Spaulding (2), a mobile phone comes under non-critical items because it will not contact mucous membranes and/or non-intact skin. Mobile phones of health care workers provide a reservoir of bacteria known to cause nosocomial infection but the contamination of mobile phones of inpatients and their cross contamination is currently unknown (4) and to date, there is no report on antimicrobial resistant bacterial contamination of mobile phones of inpatients. Hence, the present study was carried out to determine contamination of antimicrobial resistant bacteria on mobile phones of patients admitted in various hospitals.

Materials and methods

One hundred and six samples were collected from mobile phones of patients admitted in various hospitals in Jazan province Saudi Arabia. Each sterile swab was moistened with sterile saline and then the swab was rotated on the key of mobile phones and sides of mobile phones. After collection, swabs were immediately inoculated into brain heart infusion broth and incubated aerobically at 37°C for 24 hours (4). After 24 hours of incubation in brain heart infusion broth, growth was noted and further sub-cultured on MacConkey agar, blood agar and chocolate agar and incubated at 37°C for 24 hours. All agar plates were observed for growth, colony morphology and Gram reaction. Depending on colony characters and Gram reactions, all isolates were subjected to identification and antibiotic sensitivity test using VITEK2 (Biomerieux, France) with advanced expert system. Condensed plastic reagent cards (microquantities of antibiotics and media present in wells) are used in VITEK2 system. The VITEK2 system automatically checks for bacterial growth during an incubation period. VITEK 2 follows Clinical and Laboratory Standards Institute (CLSI) guidelines (5). For identification of bacteria, both Gram positive (GP ID card) and Gram negative (GN ID card) cards (Biomerieux, France) were used and for antibiotic susceptibility test both Gram positive and Gram negative susceptibility test cards (AST-P580; AST-N117; Biomerieux, France) were used.

Results

Eighty-nine (83.9%) out of 106 mobile phones of patients admitted in various hospital were contaminated with bacteria. Fifty-two (49.0%) coagulase-negative Staphylococcus, 12 (11.3%) Staphylococcus aureus, 7 (6.6%) Enterobacter cloacae, 3 (2.83%) Pseudomonas stutzeri, 3 (2.83%) Sphingomonas paucimobilis, 2 (1.8%) Enterococcus faecalis and 10 (9.4%) aerobic spore bearers were found (Table 1).
Table 1

Various types of bacteria isolated from mobile phones of patients

S. NoName of the bacteria isolated from mobile phonesNumber of bacteria isolated from mobile phonesPercentage of bacteria isolated from mobile phones
1Coagulase-negative Staphylococcus 5249.06
2 Staphylococcus aureus 1211.32
3 Enterobacter cloacae complex 76.6
4 Pseudomonas stutzeri 32.83
5 Sphingomonas paucimobilis 32.83
6 Enterococcus faecalis 21.8
7Aerobic spore bearers109.4
Various types of bacteria isolated from mobile phones of patients Results of antibiotic resistance of Gram positive and Gram negative bacterial isolates are listed in Tables 2 and 3, respectively.
Table 2

Antibiotic resistance of various Gram positive bacterial isolates from mobile phones of patients

Percentage of resistance

Name of antibioticCoagulase-negative Staphylococci (52)* Staphylococcus aureus (12)*
Benzylpenicillin100100
Gentamicin53.80
Tobramycin70.80
Levofloxacin32.70
Moxifloxacin180
Erythromycin62.583.3
Clindamycin40.50
Linezolid00
Teicoplanin130
Vancomycin00
Tetracycline320
Tigecycline00
Fosfomycin79.20
Nitrofurantoin00
Fusidic acid960
Mupirocin00
Rifampicin1000

Total number of bacterial isolates in parenthesis.

Table 3

Antibiotic resistance of various Gram negative bacterial isolates from mobile phones of patients

Percentage of resistance

Name of antibiotic Enterobacter cloacae complex (7)* Pseudomonas stutzeri (3)* Sphingomonas paucimobilis (3)*
Ampicillin100033.33
Amoxicillin/clavulanic acid000
Piperacillin/sulbactam000
Piperacillin/tazobactam10000
Cefalothin066.633.3
Cefuroxime85.766.633.3
Cefuroxime axetil10066.633.3
Cefoxitin10066.60
Cefpodoxime066.60
Cefotaxime000
Ceftazidime000
Imipenem000
Meropenem000
Amikacin000
Gentamicin0033.3
Tobramycin000
Ciprofloxacin000
Norfloxacin000
Tetracycline000
Nitrofurantoin066.633.3
Trimethoprim/sulfamethoxazole033.30

Total number of bacterial isolates in parenthesis.

Antibiotic resistance of various Gram positive bacterial isolates from mobile phones of patients Total number of bacterial isolates in parenthesis. Antibiotic resistance of various Gram negative bacterial isolates from mobile phones of patients Total number of bacterial isolates in parenthesis. Coagulase-negative Staphylococcus strains were resistant to benzylpenicillin (100%), rifampicin (100%), fusidic acid (96%), fosfomycin (79.2%), tobramycin (70.8%), erythromycin (62.5%), gentamicin (53.8%), clindamycin (40.5%), levofloxacin (32.7%), moxifloxacin (18%) and teicoplanin (13%). S aureus strains were resistant to benzylpenicillin (100%) and erythromycin (83.3%). E. cloacae complex strains were resistant to ampicillin (100%), piperacillin/tazobactam (100%), cefuroxime axetil (100%), cefoxitin (100%) and cefuroxime (85.7%). P. stutzeri strains were resistant to cefalothin (66.6%), cefotaxime (66.6%), cefuroxime axetil (66.6%), cefoxitin (66.6%), cefpodoxime (66.6%), nitrofurantoin (66.6%) and trimethoprim/sulfamethoxazole (33.3%). S. paucimobilis strains were resistant to ampicillin (33.3%), cefalothin (33.3%), cefotaxime (33.3%), cefuroxime axetil (33.3%), gentamicin (33.3%) and nitrofurantoin (33.3%).

Discussion

Bacterial contamination of mobile phones of hospital inpatients was reported in the United Kingdom (UK). Brady (4) found 86 (84.3%) out of 102 mobile phones of patients admitted in hospital to be contaminated with bacteria (2) whereas in the present study, 89 (83.9%) out of 106 mobile phones of patients admitted in various hospitals were found to be contaminated with bacteria. All isolated bacteria in the present study were identified up to species level such as coagulase-negative Staphylococcus, S. aureus, E. cloacae, P. stutzeri, S. paucimobilis, E. faecalis and aerobic spore bearers whereas Brady (4) reported coagulase-negative staphylococci, S. aureus, Corynebacterium (jeikeium, pseudodiphtheriticum, urealyticum), Streptococcus species (constellatus, parasanguinis), S. paucimobilis, Enterococcus faecium, Rhizobium species, Acinetobacter ursingii, E. cloacae, Moraxella species, Micrococcus species, Burkholderia cepacia, Dermacoccus species, Kocuria species, Lactococcus species, Gemella species, Bacillus species, unidentified Gram positive bacillus, unidentified alpha-haemolytic streptococcus and Candida albicans from mobile phones of hospital inpatients (2). No risk has been reported for the transmission of pathogens to patients through non-critical items (6) such as mobile phones which do not contact mucous membranes and /or non-intact skin (2). However, isolated organisms such as coagulase-negative staphylococci have emerged as a major pathogen in implant users and severely debilitated patients in hospitals; S. aureus is a known pathogen, P. stutzeri is an opportunistic pathogen (1) and S. paucimobilis were reported to cause nosocomial infection (7). Since E. faecalis and E. cloacae are part of human intestinal microbial flora (8), isolation of E. faecalis and E. cloacae from mobile phones may indicate that such mobile phones may be contaminated with intestinal flora. Several studies have also reported antibiotic resistant hospital strains such as Staphylococcus epidermidis, S. aureus, Enterococcus, and Pseudomonas species, etc. which are common health care–associated pathogens (2). In the present study, MRSA were not isolated among isolates of S. aureus and ESBL were not isolated among isolates of E. cloacae, P. stutzeri and S. paucimobilis. All bacterial isolates from mobile phones are aerobes or facultative anaerobes. The possibility of other microorganisms like obligate anaerobes and fungi being found on contaminated mobile phones has not been excluded. Educating patients about infection control and stressing individual responsibility of infection control is an important aspect of controlling nosocomial infections (9). Contaminated mobile phones may act as fomites because most people carry mobile phones along with them to places such as hospitals, toilets and kitchens where microorganisms thrive (10). This study indicates that unreported antibiotic resistant bacterial contaminants of mobile phones of patients may be a matter of great concern. Hence, it is recommended that all patients admitted in hospitals be educated about guidelines of using mobile phones, regular disinfection of their mobile phones, hand hygiene and be advised not to share mobile phones with other people so that role of contaminated mobile phones in the spread of nosocomial infections can be prevented to some extent.
  6 in total

Review 1.  Antimicrobial susceptibility testing: a review of general principles and contemporary practices.

Authors:  James H Jorgensen; Mary Jane Ferraro
Journal:  Clin Infect Dis       Date:  2009-12-01       Impact factor: 9.079

Review 2.  Sphingomonas paucimobilis: a persistent Gram-negative nosocomial infectious organism.

Authors:  M P Ryan; C C Adley
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3.  The importance of mobile phones in the possible transmission of bacterial infections in the community.

Authors:  A Bhoonderowa; S Gookool; S D Biranjia-Hurdoyal
Journal:  J Community Health       Date:  2014-10

4.  Mobile phone technology and hospitalized patients: a cross-sectional surveillance study of bacterial colonization, and patient opinions and behaviours.

Authors:  R R Brady; A C Hunt; A Visvanathan; M A Rodrigues; C Graham; C Rae; P Kalima; H M Paterson; A P Gibb
Journal:  Clin Microbiol Infect       Date:  2011-05-26       Impact factor: 8.067

5.  Molecular analysis of colonized bacteria in a human newborn infant gut.

Authors:  Hee-Kyung Park; Sung-Sub Shim; Su-Yung Kim; Jae-Hong Park; Su-Eun Park; Hak-Jung Kim; Byeong-Chul Kang; Cheol-Min Kim
Journal:  J Microbiol       Date:  2005-08       Impact factor: 3.422

6.  Guidelines for environmental infection control in health-care facilities. Recommendations of CDC and the Healthcare Infection Control Practices Advisory Committee (HICPAC).

Authors:  Lynne Sehulster; Raymond Y W Chinn
Journal:  MMWR Recomm Rep       Date:  2003-06-06
  6 in total
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1.  High level bacterial contamination of secondary school students' mobile phones.

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Journal:  Germs       Date:  2017-06-01

2.  SELfies and CELLfies: Whole Genome Sequencing and Annotation of Five Antibiotic Resistant Bacteria Isolated from the Surfaces of Smartphones, An Inquiry Based Laboratory Exercise in a Genomics Undergraduate Course at the Rochester Institute of Technology.

Authors:  Anutthaman Parthasarathy; Narayan H Wong; Amanda N Weiss; Susan Tian; Sara E Ali; Nicole T Cavanaugh; Tyler M Chinsky; Chelsea E Cramer; Aditya Gupta; Rakshanda Jha; Loryn K Johnson; Elizabeth D Tuason; Lauren M Klafehn; Varada Krishnadas; Ryan J Musich; Jennifer M Pfaff; Spencer C Richman; Alexandria J Shumway; André O Hudson
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3.  Bacterial contamination of mobile phones of healthcare workers at the University Teaching Hospital, Lusaka, Zambia.

Authors:  N A Mushabati; M T Samutela; K Yamba; J Ngulube; R Nakazwe; P Nkhoma; A Kalonda
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