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The impact of a ‘milking the COW’ campaign in a regional hospital in Singapore

Abstract

Background

Computerisation of various processes in hospitals and reliance on electronic devices raises the concern of contamination of these devices from the patient environment. We undertook this study to determine if an attached hand hygiene device that unlocks the screen of a computer on wheels (COW) on usage can be effective in decreasing the microbiological burden on computer keyboards.

Methods

An electronic hand sanitizer was integrated onto the COW. A prospective cohort study with a crossover design involving 2 control and 2 intervention wards was used. The study end point was the number of colony forming units found on the keyboards. Bacteria were classified into 4 main groups; pathogenic, skin flora, from the environment or those thought to be commensals in healthy individuals. We then used a mixed effects model for the statistical analysis to determine if there were any differences before and after the intervention.

Results

Thirty-nine keyboards were swabbed at baseline, day 7 and 14, with 234 keyboards cultured, colony forming units (CFUs) counted and organisms isolated. By mixed model analysis, the difference of mean bacteria count between intervention and control for week 1 was 32.74 (− 32.74, CI − 94.29 to 28.75, p = 0.29), for week 2 by 155.86 (− 155.86, CI − 227.45 to − 83.53, p < 0.0001), and after the 2-week period by 157.04 (− 157.04, CI − 231.53 to − 82.67, p < 0.0001). In the sub-analysis, there were significant differences of pathogenic bacteria counts for the Intervention as compared to the Control in contrast with commensal counts.

Conclusion

A hand hygiene device attached to a COW may be effective in decreasing the microbiological burden on computer keyboards.

Background

Electronic medical records and the computerisation of various processes in modern day hospitals have made us increasingly reliant on computers and other electronic devices. Contamination of these devices from the patient environment is a significant concern. Many investigators have documented contamination of computer keyboards with pathogenic micro-organisms. While some have formally assessed effectiveness of cleaning, none have looked specifically at the impact of hand hygiene at the point of use of computer keyboards [1,2,3,4,5,6]. A summary of these studies are included in Additional file 1. We undertook to determine if an attached hand hygiene device that unlocks the screen of a computer on wheels (COW) only on usage can be effective in decreasing the microbiological burden on computer keyboards. We aimed to study the effect of this innovative approach to hand hygiene on the level of contamination of keyboards on our COWs.

A proof of concept study on a smaller scale (4 COWS) was undertaken in 2015 when we occupied a 350 bedded hospital while awaiting the move to a new hospital campus with 700 beds. The results of POC study encouraged us to conduct a larger study to determine the actual impact of usage of such a device.

Methods

Software was developed by members of the team that linked the hand hygiene device to the computer. The log in screen of these COWS could only be activated by using the attached hand sanitizer (see Fig. 1). In addition an LED light projected through the hand hygiene dispenser flashed red when the COW was logged out and would turn green only on successful activation by use of the hand hygiene dispenser to signal that logging in could proceed. We set a time-out duration of 120 s after activation before a subsequent default locked screen would appear if a COW was left idle. This time-out duration could be adjusted if the unit staff overall felt that it was insufficient, there was no minimum or maximum limit that could be set.

Fig. 1
figure1

Set up of the COW with the hand hygiene devise attached

We conducted a prospective cohort study with a crossover design involving 2 control wards (one general medical and one surgical) and 2 intervention wards (also one general medical and one surgical). The first phase of the study was completed within 6 weeks, from 31/10/2017 to 5/12/2017. Hand hygiene devices were installed onto 2 interventions wards for 2 weeks before crossing over to the 2 control wards after a one week wash out period. In the first 2-week block, there were 19 COWs in the intervention arm, and 20 COWS in the control arm. After crossing over, there were 20 COWs in the intervention arm and 19 in the control arm.

We followed the standardised cleaning schedule with routine cleaning of the COWs from 1500 to 1630 h daily. This ensured that the intervention and control wards followed a consistent cleaning regime. The chemical compositions of the hospital disinfectant used were as followed: 100 g of agent solutions contains 0.26 g Quaternary ammonium compounds, benzyl-C-12-16-alkydimethyl, chlorides; 0.26 g Didecyldimethylammonium chloride, 0.26 g Quaternary ammonium compounds, C12-14-alkyl [(ethylphenyl) methyl] dimethyl, chlorides with a recommended contact time of 1 min.

The study end point was the number of colony forming units found on the keyboards by our pre-determined microbiological surveillance methods. We developed a protocol to swab the keyboards as detailed in Table 1.

Table 1 Summary of the planned steps for microbial sampling

The keyboards were divided into two halves from the centre letters Y, H & N. One flocked swab was used to swab the surface on the left starting from keyboard letters Y, H, & N and another flocked swab was used to swab the surface of the keyboard right side. Care was taken to swab the surface of the keys only. This process took approximately 20 s. Laboratory staff were on site to ensure adequate sampling and for immediate transferring of the swabs to the microbiology laboratory for processing. To ensure uniformity, the same person was responsible for sampling all the keyboards.

Microbiological methods

Samples were collected with flocked swabs and transported promptly to the microbiology laboratory in 1 mL liquid Amies media (Copan Italia SpA, Brescia, Italy). To facilitate growth of the bacteria of interest, an inoculum of 0.1 mL of the media was plated by Kiestra™ InoqulA™ (Becton Dickinson, Franklin Lakes, NJ, USA) directly on tryptic soy agar with 5% sheep blood (TSA 5% sheep blood) (Becton, Dickinson and Company, Sparks, MD) and MacConkey agar (Thermo Fisher Scientific, Melaka, Malaysia). Plates were streaked with InoqulA standard pattern (Stardard_PatternSet_highspeed_2011_12_01) to resemble spread-plating to enumerate viable bacterial/ fungal colonies [7]. After 18 to 24 h’ incubation at 35 °C ± 2 °C in ambient air, colonies with different morphology were identified using MALDI-TOF (MALDI-TOF MS; Bruker Daltonics, Germany), details of which have been published elsewhere [8]. For bacteria identified as Enterobacterales, Enterococcus faecium or faecalis and Staphylococcus aureus further workup was performed according to EUCAST guidelines to rule out Carbapenemase-Producing Enterobacterales (CPE), Vancomycin Resistant Enterococcus (VRE) and Methicillin-resistant Staphylococcus aureus (MRSA) [9]. Suspected mould colonies were propagated on sabouraud dextrose agar (SAB) (Becton, Dickinson and Company, Sparks, MD) and identification was performed based on macroscopic and microscopic features [10]. Plates that showed no growth of organism after the initial incubation were incubated for an additional 18–24 h.

Viable count calculation was done for individual organism type with 1 colony observed on the agar plate equivalent to 10 colony forming unit (CFU)/mL.

The bacteria were grouped according to those that were deemed pathogenic, skin flora, from the environment or those thought to be commensals in healthy individuals [11,12,13,14]. The details of the classification can be found in the Additional file 2: Table S1.

Staff survey on ease of use

A survey on ease of use and overall impressions from staff was undertaken. Data were collected in 2 separate 1 week blocks, whilst the device was in use on the interventional wards. There were 122 staff surveyed which included 93 nurses, 7 doctors and 22 others which included therapists, patient care assistants, students etc. The questions asked can be found in Additional file 3: Table S2.

Statistical analysis

Linear mixed effect models were used to compare the mean bacteria counts between the intervention arm and the control arm in the study periods, accounting for the random variability in wards and COWs. Due to different ward location for the COWs and the repeated samples collected from the COWs, random effects were included to take account for the non-independence in data. The dependent variable was bacteria count, the random effects were ward and COW and the fixed effect was study arm (intervention or control). The estimated mean differences and their 95% confidence intervals were reported. Differences were considered significant for a p value < 0.05. The outcome measure was a decrease in the microbiological burden on computer keyboards with the use of the Hand Hygiene device. The analysis was performed by statistical software R 3.4.2

Ethics

This was a quality initiative and had been approved by the Board of Trustees of the hospital. Informed consent from health care workers was therefor not obtained.

Results

A total of 39 keyboards were swabbed at baseline, day 7 and day 14. In total, 234 keyboards were cultured to identify the bacteria counts and organisms isolated. The main analysis showed evidence of difference on bacteria counts for the Intervention as compared to the Control for week 2 and the 2-week period taken as a whole but not week one. By the mixed model, the difference of mean bacteria count for week 1 was 32.74 (− 32.74 CI − 94.29 to 28.75, p = 0.29), The mean bacteria count after week 2 for the Intervention was lower than the Control by 155.86 (− 155.86, CI − 227.45 to − 83.53, p < 0.0001), and the mean bacteria count after 2-week period for the Intervention was lower than the Control by 157.04 (− 157.04, CI − 231.53 to − 82.67, p < 0.0001).

In the sub-analysis, there were significant differences of pathogenic bacteria counts for the Intervention as compared to the Control in contrast with commensal counts. By the mixed model, the mean of pathogenic bacteria counts for the Intervention as compared to the Control reduced in week 1, week 2 and the total 2-week period were by 4.01 (CI (− 7.61 to − 0.42), p < 0.05), 19.39 (CI − 30.30 to − 8.36), p < 0.001) and 18.85 (CI (− 30.03 to − 7.67), p < 0.001). For environmental bacteria, the mean bacteria counts for the Intervention as compared to the Control after week 1 increased by 17.42 (p < 0.01). This may be because the large value “1100” in the day 7 results, which inflated the results after week 1. For skin flora, the results were similar to the overall results with significant reductions of bacteria counts for the Intervention as compared to the Control for week 2 and 2-week period but not week 1. There were few commensal bacteria in most analyses. Of note, in terms of Multi-drug resistant organisms, only MRSA was detected in the control arm. No VRE or CRE were detected in this study. A summary of the results can be found in Table 2. The details of the raw CFU counts can be found in the Additional file 4: Table S3.

Table 2 Main Analysis and Sub Analysis study

Survey results on the use of the device on the interventional wards are summarised in Fig. 2 below.

Fig. 2
figure2

Results of survey on use of device

Discussion

This is a first study of its kind to show a reduction in microbial contamination of keyboards by using a hand hygiene dispenser at the point of use of the COW. It was a cross over study and included both medical and surgical wards so should be generalizable.

We had also developed a standardised method of sampling the keyboards with the same personnel deployed for collection of the swabs to reduce variability. We were also able to collect a large number of swabs, totalling nearly 240 over the study period for which we speciated all colonies identified using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI TOF). As such we were able to make meaningful subgroup analyses.

Of note, the overall study found a marked reduction in the mean bacteria count after the 2-week period for the Intervention versus the Control ward of 157.04 (− 157.04, CI − 231.53, − 82.67) colonies despite identical high touch cleaning schedules suggesting that this reduction of the bioburden was truly due to the intervention.

Subgroup analyses also confirmed that this was most marked for pathogenic organisms, in contrast with environmental organisms, which we assume would be removed by high touch surface cleaning and not typically found on the hands of health care workers. This suggests that the prompts from the device had a significant impact on hand hygiene as evidenced by reduction in bacteria most likely carried on the hands of healthcare workers.

Although in the main analysis, significant differences were only seen in week 2 and as a total, this could be explained by behavioural change requiring time to take effect. It could be reasonable to expect that it might have taken 2 weeks for the intervention to produce benefits. Alternatively, as seen in the sub-group analysis, those classified as pathogens decreased in both weeks 1 and 2, whereas environmental pathogens had increased in week 1 before decreasing in week 2. The results of the main analysis hence, probably allude to the fact that environmental pathogens may be harder to eradicate and are not directly related to hand hygiene.

Whilst a number of studies have shown that contaminated surfaces of equipment used in healthcare settings may act as fomites and transmit pathogens, and that adequate cleaning may help to reduce the level of contamination, none have addressed the additive effect of hand hygiene at the point of use [1,2,3,4,5,6]. Whilst Lu et al. reported lower contamination rates of their computer keyboards attributed to better hand hygiene compliance in the absence of a cleaning programme, this was not specifically quantified [3]. The staff survey was also helpful in understanding the practicality of this device. Of note, 93% of staff found the device easy to use. Although the time out duration of 120 s was deemed just right by 61%, our software was flexible enough to allow us to increase or decrease the timing based on the experience of our users, so we did not view this as a major issue. Although 22% of our staff experienced technical issues, these were mostly resolved quickly. With familiarity of setting up the software and hardware gained through this study, as well as with the anticipated development of a more robust hardware in the next phase of the project, we hope to have addressed the remaining issues raised. Ultimately, the majority of our staff surveyed (78%) affirmed that they would recommend deployment of the device throughout the hospital.

This intervention is also likely to drive behaviour change since it is an added reminder of “Moment 5: After touching patient surroundings” according to the WHO moments of Hand Hygiene and highlights the fact that healthcare equipment are fomites that can cause disease transmission. Due to the short duration of the intervention, we were not able to corroborate this with hand hygiene data from our institution.

One of the major limitations of our study is that a reduction in CFU does not necessarily translate to reduction in infections. There are no data in the published literature that can attest to a clear cut causal relationship between the reduction in CFU count and decrease in hospital acquired infections. Studies of environmental cleaning have provided some evidence that a reduction in the bioburden of pathogens in the environment, particularly high touch surface areas, has resulted in reductions in healthcare associated infections [15, 16]. Numerous reports have shown that improving hand hygiene rates have also reduced hospital acquired infections [17,18,19,20]. It is thus probably reasonable to assume that we can expect some reduction in hospital acquired infections with optimal use of our device.

The relatively short period of the intervention of 2 weeks, although sufficient to study the effects on the organisms found on keyboards, was not long enough to allow us to collect data for surveillance of patient infection and colonization with pathogens such as MRSA and C difficile. If we have the resources to do a further, larger and longer study, it could provide further corroborative evidence to promote the widespread implementation of such a device.

Another limitation of the study was the that, due to the nature of the intervention, blinding of the team carrying out the sampling could not be done. However, we did try to limit any study bias by having a team consisting of Infection Control nurses as well as laboratory staff carry out the sampling independently of the ward teams. We further used this same team throughout the study period to ensure consistency in sampling.

It is also possible that the results could have been due to less staff using the COWs in the interventional wards since the device was clearly visible and required the user to undergo an extra step in what was already a very busy ward environment. We do not, however, think that this was a major issue. We use an electronic medical record system throughout our facility. The only means of documentation when at the patient’s bedside is through the use of the COW. Alternative desktop computers are only found at the nurses’ station and substation and are not as numerous as COWs. Also, our survey results showed that 86% of staff used the device more than 6 times per day meaning that most people did not change their behaviour to avoid using the COW. In addition, the finding of skin flora in the interventional wards also provided some corroborative evidence that the COWs were still being used and that our results could still be interpreted positively.

Conclusion

A hand hygiene device attached to a computer on wheels (COW) that unlocks the screen on usage may be effective in decreasing the microbiological burden on computer keyboards. Computerised devices act as reservoirs for pathogenic microorganisms and potentially promote transfer of the pathogens to patients. Hand hygiene as an intervention prior to usage may be a relatively simple but worthwhile intervention in preventing nosocomial infection.

Availability of data and materials

All data generated or analysed during this study are included in this published article and its supplementary information files.

References

  1. 1.

    Rutala WA, White MS, Gergen MF, Weber DJ. Bacterial contamination of keyboards: efficacy and functional impact of disinfectants. Infect Control Hosp Epidemiol. 2006;27:372–7.

    Article  Google Scholar 

  2. 2.

    Messina G, Ceriale E, Lenzi D, Burgassi S, Azzolini E, Manzi P. Environmental contaminants in hospital settings and progress in disinfecting techniques. BioMed Res Int. 2013. https://doi.org/10.1155/2013/429780.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Lu PL, Siu LK, Chen TC, et al. Methicillin-resistant Staphylococcus aureus and Acinetobacter baumannii on computer interface surfaces of hospital wards and association with clinical isolates. BMC Infect Dis. 2009;9:164.

    Article  Google Scholar 

  4. 4.

    Moore G, Muzslay M, Wilson PR. The type, level, and distribution of microorganisms within the ward environment: a zonal analysis of an intensive care unit and a gastrointestinal surgical ward. Infect Control Hosp Epidemiol. 2013;34(5):500–6.

    Article  Google Scholar 

  5. 5.

    Hartmann B, Benson M, Junger A, et al. Computer keyboard and mouse as a reservoir of pathogens in an intensive care unit. J Clin Monit. 2004;18:7–12.

    Article  Google Scholar 

  6. 6.

    Srikanth P, Sivasubramanian S, Sudharsanam S, Thangavel G, Jagannathan K. Assessment of aerobic bacterial contamination of computer keyboards in a tropical setting. J Assoc Physicians India. 2012;60:18–12.

    PubMed  Google Scholar 

  7. 7.

    Sanders ER. Aseptic laboratory techniques: plating methods. J Viz Exp. 2012;63:e3064.

    Google Scholar 

  8. 8.

    Croxatto A, Prod’hom G, Greub G. Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology. FEMS Microbiol Rev. 2012;36(2):380–407.

    CAS  Article  Google Scholar 

  9. 9.

    European Committee on Antimicrobial Susceptibility Testing, 2017. EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance. Version 2.0. http://www.eucast.org.

  10. 10.

    Larone D. Medically important fungi. 6th ed. Washington, DC: ASM Press; 2018.

    Google Scholar 

  11. 11.

    Carroll KC, Pfaller MA, Landry ML, McAdam AJ, Patel R, Richter SS, Warnock DW. Manual of clinical microbiology. 12th ed. Washington DC: American Society for Microbiology; 2019.

    Google Scholar 

  12. 12.

    Gorny RL, Dutkiewicz J, Krysinska-Traczyk E. Size distribution of bacterial and fungal bioaerosols in indoor air. Ann Agric Environ Med. 1999;6:105–13.

    PubMed  Google Scholar 

  13. 13.

    Grice EA, Segre GA. The skin microbiome. Nat Rev Microbiol. 2011;9(4):244–53.

    CAS  Article  Google Scholar 

  14. 14.

    Avila M, Ojcius DM, Yilmaz Ö. The oral microbiota: living with a permanent guest. DNA Cell Biol. 2009;28(8):405–11.

    CAS  Article  Google Scholar 

  15. 15.

    Huslage K, Rutala W, Gergen M, Sickbert-Bennett E, Weber D. Microbial assessment of high-, medium-, and low-touch hospital room surfaces. Infect Control Hosp Epidemiol. 2013;34(2):211–2. https://doi.org/10.1086/669092.

    Article  PubMed  Google Scholar 

  16. 16.

    Weber DJ, Anderson D, Rutala WA. The role of the surface environment in healthcare-associated infections. Curr Opin Infect Dis. 2013;26(4):338–44.

    Article  Google Scholar 

  17. 17.

    Grayson ML, Stewardson AJ, Russo PL, et al. Effects of the Australian National Hand Hygiene Initiative after 8 years on infection control practices, health-care worker education, and clinical outcomes: a longitudinal study. Lancet Infect Dis. 2018;18(11):1269–77.

    Article  Google Scholar 

  18. 18.

    Allegranzi B, Pittet D. Role of hand hygiene in healthcare-associated infection prevention. J Hosp Infect. 2009;73(4):305–15.

    CAS  Article  Google Scholar 

  19. 19.

    Helder OK, Brug J, van Goudoever JB, Looman CW, Reiss IK, Kornelisse RF. Sequential hand hygiene promotion contributes to a reduced nosocomial bloodstream infection rate among very low-birth weight infants: an interrupted time series over a 10-year period. Am J Infect Control. 2014;42(7):718–22. https://doi.org/10.1016/j.ajic.2014.04.005.

    Article  PubMed  Google Scholar 

  20. 20.

    WHO document: evidence of hand hygiene to reduce transmission and infections by multidrug resistant organisms in health-care settings. http://www.who.int/gpsc/country_work/en/. Accessed 26 Feb 2018.

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Acknowledgements

Not applicable.

Funding

Funds for this study were obtained from the Jurong Health Fund. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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Affiliations

Authors

Contributions

SKMSP designed the study and was a major contributor in writing the manuscript. PL, NKS, SR, LSA, and CPL coordinated sample collection, swabbed keyboards, and reviewed the manuscript. WG and YMH interpreted the patient data and performed the statistical analysis. CCW, OCH, RL, DC were involved in the microbiological aspects of the study and reviewed the manuscript. PAT was a major contributor in writing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Surinder Kaur M. S. Pada.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1

: Summary of studies investigating the levels of contamination on electronic devices

Additional file 2

: Table S1. Organisms categorised as pathogenic, environmental, skin flora and commensals

Additional file 2

: Table S2. Questions asked for staff survey on ease of use

Additional file 4

: Table S3. Colony forming units and pathogens isolated from individual computer keyboards over the study period

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Pada, S.K.M.S., Lishi, P., Ng, K.S. et al. The impact of a ‘milking the COW’ campaign in a regional hospital in Singapore. Antimicrob Resist Infect Control 10, 81 (2021). https://doi.org/10.1186/s13756-021-00948-1

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