Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-17T14:48:02.489Z Has data issue: false hasContentIssue false

Electronic hand hygiene monitoring systems are the wave of the future

Published online by Cambridge University Press:  06 June 2022

Joshua K. Schaffzin*
Affiliation:
Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio and Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
*
Author for correspondence: Joshua K Schaffzin, MD, PhD, Cincinnati Children’s Burnet Campus, 3333 Burnet Ave, MLC 5019; Cincinnati, OH45229-3033. E-mail: Joshua.schaffzin@cchmc.org

Abstract

Type
Commentary
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

In the busy, ever-expanding world of infection prevention and control (IP&C), implementing electronic hand hygiene monitoring systems (EHHMS) can help guide focused improvement efforts, maximize adherence, and prevent transmission of nosocomial pathogens.

Cost

A common concern for adopting an EHHMS is cost. Systems are expensive, and requirements include deployment of sensors (for locations, dispensers, and staff) and amplifiers, as well as analytic support. Reference Conway1 However, once installed, if a clinic or unit layout does not change, costs are reduced to maintenance only. Lifetime costs should be considered. For example, analytics are needed in multiple areas of an institution. Hiring an analyst for EHHMS alone may not be financially feasible, but having that person cover other areas (eg, essential IP&C initiatives like ultraviolet disinfection and healthcare-acquired infection [HAI] tracking, preventive and responsive maintenance, ambulatory staffing and flows, inpatient and ambulatory flow, environmental service metrics, billing efficiency, etc) may provide enough value to an institution to justify hiring. Reference Conway1 In accounting for up-front costs, implementation should be purposeful, such as matching device placement to existing flows or taking sensor placement into account when designing new or renovated space. Reference Conway1 These efforts will benefit the EHHMS but will also provide data to use in process improvement and design that could benefit a clinic or unit for years to come. Systems based on radio frequency identification (RFID) detection can be utilized to optimize staffing and clinical flow. Reference Berg, Longley and Dunitz2,Reference Overmann, Wu, Xu, Bindhu and Barrick3 In fact, staff identifications may already have embedded RFID used for parking and door access. All of these efforts can lead to improved satisfaction and cost savings and make compelling arguments for institutional decision makers to approve the start-up costs.

Investment in an EHHMS is not trivial, but neither is the investment in a manual system. Lifetime costs of a manual system are significant, including training for observation, the observations themselves, and data analysis and distribution. Reference Gould, Drey and Creedon4 As a low-reliability intervention, Reference Frankel, Haraden, Federico and Lenoci-Edwards5 manual monitoring requires constant education and reminders, and inevitable retraining when observers change (eg, unit reassignment, choosing to stop observing, etc). Data need to be entered and cleaned prior to analysis. If we assume that (1) training for trainers and observers requires 4–6 hours, (2) an observer can complete 5–10 observations in a 20–30-minute observation session, and (3) an observer will be expected to conduct at least 200 observations per unit per month, the institution is committing at least 6.7 hours of nonproductive time per observer per month. Reference Sax, Allegranzi, Chraiti, Boyce, Larson and Pittet6 These costs accumulate quickly and recur with staffing changes, which can affect hospital staffing and revenue. Healthcare is facing staffing challenges due to the COVID-19 pandemic, burn-out, and shifting priorities among the work force. Reference Leo, Sabina and Tumolo7,Reference Levine8 Hospitals can ill afford to add additional effort not balanced by revenue like manual hand hygiene observations. Furthermore, if IP&C is responsible for HH observation and/or education, IPs will be diverted from other important initiatives that could be achieved with an EHHMS in place.

Audit and feedback

Manual observation is often praised for the opportunity it provides for immediate interaction between providers and observers. Often termed ‘audit and feedback,’ correction of improper practice along with praise for proper practice have been shown to improve adherence to hand hygiene and other improvement efforts. Reference Gould, Moralejo, Drey, Chudleigh and Taljaard9,Reference Ivers, Jamtvedt and Flottorp10 However, if the feedback is not well received, it can create tension between observers and providers that can affect both morale and practice. Infection preventionists are often bearers of unfavorable news and work to avoid being seen as enforcers rather than supporters. Conducting HH observations and perceived criticism of provider practice could shift the balance unfavorably. Delegating observations to unit staff may not improve the situation if teammates are not comfortable ‘informing’ on their colleagues’ deficiencies. Reference Livorsi, Goedken, Sauder, Vander Weg, Perencevich and Reisinger11

An EHHMS does not eliminate audit and feedback opportunities. The wide coverage and extensive sampling an EHHMS offer can be used to identify ‘trouble spots’ to target interventions that generate value. The most effective means of improving HH adherence is through targeted multimodal intervention, which has been demonstrated using manual observation or EHHMS. Reference Knepper, Miller and Young12,Reference Knudsen, Kolle, Hansen and Moller13 Rather than prohibit audit and feedback, an EHHMS can identify spots where receptiveness to intervention, observation, and direct feedback would be high, and this information can be incorporated with other interventions to generate a desirable outcome.

Accuracy

EHHMS may be criticized for accuracy, since observation of all 5 World Health Organization moments is not achievable, and some systems infer hand hygiene based on provider presence rather than action. Reference Pineles, Morgan and Limper14,Reference Hansen, Wismath, Fritz and Heininger15 Part of this deficiency can be overcome by sensor placement based on where tasks are likely to take place. For example, if rooms have a designated area for medication preparation, sensors may be able to detect a provider’s presence and whether HH was performed. Similarly, if a urinary catheter collection bag is emptied into a toilet, a provider may be tracked from bed to bathroom. Not all available EHHMSs are able to track activities with high resolution. Nonetheless, technology advancement rarely takes long, and the next generation of EHHMSs promises to provide the details needed.

The accuracy of manual observation can be affected by the Hawthorne effect and observation bias, to which EHHMS are not subject. Reference Jeanes, Coen, Gould and Drey16Reference Gould, Lindstrom, Purssell and Wigglesworth18 Even though some studies have shown that the Hawthorne effect can be overcome, Reference Chen, Vander Weg, Hofmann and Reisinger19 the presence of observers has been shown to improve adherence with HH. Reference Eckmanns, Bessert, Behnke, Gastmeier and Ruden20 Efforts to minimize the Hawthorne effect, such as ‘secret shoppers,’ require extensive training and maintenance that may not provide much valuable information. When unit staff are recruited to perform manual observations, they often overcompensate for their colleagues, in one study by as much as 20%. Reference Dhar, Tansek and Toftey21,Reference Badwaik, Tucker, Leung and Klompas22

Given the need for multimodal intervention, implementing an EHMMS by itself is unlikely to show a significant effect on HAI rates, and stakeholders may question its reliability or cost effectiveness. Reference Cawthorne and Cooke23 The same is true for manual monitoring systems. Like any new initiative, to be successful, groundwork must be done early in the process. This work should include stakeholders in the decision process, testing multiple systems, evaluating usability and acceptability, and developing validation prior to deployment. Reference Guedon, Wauben, de Korne, Overvelde, Dankelman and van den Dobbelsteen24Reference Kelly, Purssell, Wigglesworth and Gould27

The solution?

In the end, neither an EHHMS nor manual observation can fill all system gaps in terms of cost, accuracy, or acceptability. However, while difficult to prove directly, the principle of high HH adherence leading to reduced nosocomial disease is accepted generally. A system chosen by an institution must effectively achieve the goal of reduced transmission. Historically, manual observation has been considered the gold standard for obtaining HH adherence data. Should that continue into the 21st century? The complexity of health care has and will continue to grow rapidly, and technologies have been introduced along the way that have supported providers to achieve positive outcomes. Undetected transmission of bacterial and viral agents is likely occurring in all healthcare contexts, and HH is an essential component of transmission prevention. With evolving technology, widening IP&C responsibilities, and opportunities to incorporate informatics into multiple processes, EHHMS is the future state for HH efforts.

Acknowledgments

Financial support

No financial support was provided relevant to this article.

Conflicts of interest

All authors report no conflicts of interest relevant to this article.

Footnotes

PREVIOUS PRESENTATION. This material was presented in part at the Society for Healthcare Epidemiology 2022 Spring Conference on April 12, 2022, in Colorado Springs, Colorado.

References

Conway, LJ. Challenges in implementing electronic hand hygiene monitoring systems. Am J Infect Control 2016;44:e7e12.CrossRefGoogle ScholarPubMed
Berg, B, Longley, G, Dunitz, J. Improving clinic operational efficiency and utilization with RTLS. J Med Syst 2019;43(3):56.CrossRefGoogle ScholarPubMed
Overmann, KM, Wu, DTY, Xu, CT, Bindhu, SS, Barrick, L. Real-time locating systems to improve healthcare delivery: a systematic review. J Am Med Inform Assoc 2021;28:13081317.CrossRefGoogle ScholarPubMed
Gould, DJ, Drey, NS, Creedon, S. Routine hand hygiene audit by direct observation: has nemesis arrived? J Hosp Infect 2011;77:290293.CrossRefGoogle ScholarPubMed
Frankel, A, Haraden, C, Federico, F, Lenoci-Edwards, J. A framework for safe, reliable, and effective care. White Paper. Cambridge, MA: Institute for Healthcare Improvement and Safe & Reliable Healthcare; 2017.Google Scholar
Sax, H, Allegranzi, B, Chraiti, MN, Boyce, J, Larson, E, Pittet, D. The World Health Organization hand hygiene observation method. Am J Infect Control 2009;37:827834.CrossRefGoogle ScholarPubMed
Leo, CG, Sabina, S, Tumolo, MR, et al. Burnout among healthcare workers in the COVID-19 era: a review of the existing literature. Front Public Health 2021;9:750529.CrossRefGoogle ScholarPubMed
Levine, D. US faces crisis of burned-out healthcare workers. US News & World Report website. https://www.usnews.com/news/health-news/articles/2021-11-15/us-faces-crisis-of-burned-out-health-care-workers. Published 2021. Accessed May 10, 2022.Google Scholar
Gould, DJ, Moralejo, D, Drey, N, Chudleigh, JH, Taljaard, M. Interventions to improve hand hygiene compliance in patient care. Cochrane Database Syst Rev 2017;9:CD005186.Google ScholarPubMed
Ivers, N, Jamtvedt, G, Flottorp, S, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev 2012;13:CD000259.Google Scholar
Livorsi, DJ, Goedken, CC, Sauder, M, Vander Weg, MW, Perencevich, EN, Reisinger, HS. Evaluation of barriers to audit-and-feedback programs that used direct observation of hand hygiene compliance: a qualitative study. JAMA Netw Open 2018;1:e183344.CrossRefGoogle ScholarPubMed
Knepper, BC, Miller, AM, Young, HL. Impact of an automated hand hygiene monitoring system combined with a performance improvement intervention on hospital-acquired infections. Infect Control Hosp Epidemiol 2020;41:931937.CrossRefGoogle ScholarPubMed
Knudsen, AR, Kolle, S, Hansen, MB, Moller, JK. Effectiveness of an electronic hand hygiene monitoring system in increasing compliance and reducing healthcare-associated infections. J Hosp Infect 2021;115:7174.CrossRefGoogle ScholarPubMed
Pineles, LL, Morgan, DJ, Limper, HM, et al. Accuracy of a radiofrequency identification (RFID) badge system to monitor hand hygiene behavior during routine clinical activities. Am J Infect Control 2014;42:144147.CrossRefGoogle ScholarPubMed
Hansen, MB, Wismath, N, Fritz, E, Heininger, A. Assessing the clinical accuracy of a hand hygiene system: learnings from a validation study. Am J Infect Control 2021;49:963965.CrossRefGoogle Scholar
Jeanes, A, Coen, PG, Gould, DJ, Drey, NS. Validity of hand hygiene compliance measurement by observation: a systematic review. Am J Infect Control 2019;47:313322.CrossRefGoogle ScholarPubMed
Hagel, S, Reischke, J, Kesselmeier, M, et al. Quantifying the Hawthorne effect in hand hygiene compliance through comparing direct observation with automated hand hygiene monitoring. Infec Control Hosp Epidemiol 2015;36:957962.CrossRefGoogle ScholarPubMed
Gould, D, Lindstrom, H, Purssell, E, Wigglesworth, N. Electronic hand hygiene monitoring: accuracy, impact on the Hawthorne effect and efficiency. J Infect Prev. 2020;21:136143.CrossRefGoogle ScholarPubMed
Chen, LF, Vander Weg, MW, Hofmann, DA, Reisinger, HS. The Hawthorne effect in infection prevention and epidemiology. Infect Control Hosp Epidemiol 2015;36:14441450.CrossRefGoogle ScholarPubMed
Eckmanns, T, Bessert, J, Behnke, M, Gastmeier, P, Ruden, H. Compliance with antiseptic hand rub use in intensive care units: the Hawthorne effect. Infect Control Hosp Epidemiol 2006;27:931934.CrossRefGoogle ScholarPubMed
Dhar, S, Tansek, R, Toftey, EA, et al. Observer bias in hand hygiene compliance reporting. Infec Control Hosp Epidemiol 2010;31:869870.CrossRefGoogle ScholarPubMed
Badwaik, AE, Tucker, RP, Leung, P, Klompas, M. Observational bias within a hospital-wide hand hygiene program. Infec Control Hosp Epidemiol 2021. doi: 10.1017/ice.2021.332.CrossRefGoogle ScholarPubMed
Cawthorne, KR, Cooke, RPD. A survey of commercially available electronic hand hygiene monitoring systems and their impact on reducing healthcare-associated infections. J Hosp Infect 2021;111:4046.CrossRefGoogle ScholarPubMed
Guedon, AC, Wauben, LS, de Korne, DF, Overvelde, M, Dankelman, J, van den Dobbelsteen, JJ. A RFID specific participatory design approach to support design and implementation of real-time location systems in the operating room. J Med Syst 2015;39:168.CrossRefGoogle ScholarPubMed
Hansen, MB. Validation of electronic hand hygiene monitoring systems: the IPC community must agree on four essentials. J Hosp Infect 2022;123:135136.CrossRefGoogle ScholarPubMed
Griffin, JM, Hellmich, TR, Pasupathy, KS, et al. Attitudes and behavior of healthcare workers before, during, and after implementation of real-time location system technology. Mayo Clin Proc Innov Qual Outcomes 2020;4:9098.CrossRefGoogle Scholar
Kelly, D, Purssell, E, Wigglesworth, N, Gould, DJ. Electronic hand hygiene monitoring systems can be well tolerated by health workers: findings of a qualitative study. J Infect Prev 2021;22:246251.CrossRefGoogle ScholarPubMed