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      The Impact of COVID-19 Pandemic on Hand Hygiene Performance in Hospitals.

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          Highlights

          • Hand hygiene opportunities and events decreased as COVID-19 progressed

          • Hand hygiene performance initially increased at the outset of the COVID-19 crisis

          • Improvements in hand hygiene performance during COVID-19 were not sustained

          • Over 35 million hand hygiene opportunities were captured with automated monitoring

          Abstract

          Background

          Achieving high levels of hand hygiene compliance of healthcare personnel has been an ongoing challenge. The objective of this study was to examine the impact of the COVID-19 pandemic on hand hygiene performance (HHP) rates in acute care hospitals.

          Methods

          HHP rates were estimated using an automated hand hygiene monitoring system (AHHMS) installed in 74 adult inpatient units in 7 hospitals and 10 pediatric inpatient units in 2 children's hospitals. A segmented regression model was used to estimate the trajectory of HHP rates in the ten weeks leading up to a COVID-19-related milestone event (eg, school closures) and for ten weeks after.

          Results

          Three effects emerged, all of which were significant at p < .01. Average HHP rates increased from 46% to 56% in the months preceding pandemic-related school closures. This was followed by a 6% upward shift at the time school closures occurred. HHP rates remained over 60% for four weeks before declining to 54% at the end of the study period.

          Conclusion

          Data from an AHHMS indicated that HHP shifted in multiple directions during the early stages of the pandemic. We discuss possible reasons why HHP first increased as the pandemic began and then decreased as it progressed.

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          Most cited references19

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          Is Open Access

          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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            Effectiveness of a hospital-wide programme to improve compliance with hand hygiene

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              Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study

              Summary Background The coronavirus disease 2019 (COVID-19) pandemic is leading to social (physical) distancing policies worldwide, including in the USA. Some of the first actions taken by governments are the closing of schools. The evidence that mandatory school closures reduce the number of cases and, ultimately, mortality comes from experience with influenza or from models that do not include the effect of school closure on the health-care labour force. The potential benefits from school closures need to be weighed against costs of health-care worker absenteeism associated with additional child-care obligations. In this study, we aimed to measure child-care obligations for US health-care workers arising from school closures when these are used as a social distancing measure. We then assessed how important the contribution of health-care workers would have to be in reducing mortality for their absenteeism due to child-care obligations to undo the benefits of school closures in reducing the number of cases. Methods For this modelling analysis, we used data from the monthly releases of the US Current Population Survey to characterise the family structure and probable within-household child-care options of US health-care workers. We accounted for the occupation within the health-care sector, state, and household structure to identify the segments of the health-care workforce that are most exposed to child-care obligations from school closures. We used these estimates to identify the critical level at which the importance of health-care labour supply in increasing the survival probability of a patient with COVID-19 would undo the benefits of school closures and ultimately increase cumulative mortality. Findings Between January, 2018, and January, 2020, the US Current Population Survey included information on more than 3·1 million individuals across 1·3 million households. We found that the US health-care sector has some of the highest child-care obligations in the USA, with 28·8% (95% CI 28·5–29·1) of the health-care workforce needing to provide care for children aged 3–12 years. Assuming non-working adults or a sibling aged 13 years or older can provide child care, 15·0% (14·8–15·2) of the health-care workforce would still be in need of child care during a school closure. We observed substantial variation within the health-care system. We estimated that, combined with reasonable parameters for COVID-19 such as a 15·0% case reduction from school closings and 2·0% baseline mortality rate, a 15·0% decrease in the health-care labour force would need to decrease the survival probability per percent health-care worker lost by 17·6% for a school closure to increase cumulative mortality. Our model estimates that if the infection mortality rate of COVID-19 increases from 2·00% to 2·35% when the health-care workforce declines by 15·0%, school closures could lead to a greater number of deaths than they prevent. Interpretation School closures come with many trade-offs, and can create unintended child-care obligations. Our results suggest that the potential contagion prevention from school closures needs to be carefully weighted with the potential loss of health-care workers from the standpoint of reducing cumulative mortality due to COVID-19, in the absence of mitigating measures. Funding None.
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                Author and article information

                Contributors
                Journal
                Am J Infect Control
                Am J Infect Control
                American Journal of Infection Control
                Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc.
                0196-6553
                1527-3296
                18 August 2020
                18 August 2020
                Affiliations
                [a ]Clinical Educator, Healthcare, GOJO Industries, One GOJO Plaza, Suite 500, Akron, OH 44311
                [b ]Business Intelligence Engineer, GOJO Industries
                [c ]Behavioral Science and Market Research Manager, GOJO Industries
                [d ]Vice President, Hygiene Sciences & Public Health Advancements, GOJO Industries
                Author notes
                [* ]Address correspondence to: Lori D. Moore, MPH, BS, RN, Clinical Educator, Healthcare, GOJO Industries, One GOJO Plaza, Suite 500, Akron, OH 44311, Tel.: +1-330-704-0935. MooreL@ 123456gojo.com
                Article
                S0196-6553(20)30805-1
                10.1016/j.ajic.2020.08.021
                7434409
                32818577
                84aa10fb-4826-4cd1-a2b7-63592a0c5c85
                © 2020 Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                Article

                hand hygiene,hand hygiene performance,hand hygiene monitoring,electronic compliance monitoring,automated hand hygiene monitoring,covid-19

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