scholarly journals Factors affecting healthcare workers’ compliance with social and behavioural infection control measures during emerging infectious disease outbreaks: rapid evidence review

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e049857
Author(s):  
Samantha K Brooks ◽  
N Greenberg ◽  
Simon Wessely ◽  
G J Rubin
Keyword(s):  
Infectious Disease ◽  
Infection Control ◽  
Healthcare Workers ◽  
Negative Impact ◽  
Disease Outbreaks ◽  
Emerging Infectious Disease ◽  
Control Measures ◽  
Infectious Disease Outbreaks ◽  
Infection Control Measures ◽  
Evidence Review

ObjectiveThe 2019–2020 outbreak of novel coronavirus has raised concerns about nosocomial transmission. This review’s aim was to explore the existing literature on emerging infectious disease outbreaks to identify factors associated with compliance with infection control measures among healthcare staff.MethodsA rapid evidence review for primary studies relevant to healthcare workers’ compliance with infection control measures.ResultsFifty-six papers were reviewed. Staff working in emergency or intensive care settings or with contact with confirmed cases appeared more likely to comply with recommendations. There was some evidence that anxiety and concern about the risk of infection were more associated with compliance, and that monitoring from superiors could improve compliance. Observed non-compliance of colleagues could hinder compliance. Staff identified many barriers to compliance related to personal protective equipment, including availability, perceived difficulty and effectiveness, inconvenience, discomfort and a negative impact on patient care. There were many issues regarding the communication and ease of understanding of infection control guidance.ConclusionWe recommend provision of training and education tailored for different occupational roles within the healthcare setting, managerial staff ‘leading by example’, ensuring adequate resources for infection control and timely provision of practical evidence-based infection control guidelines.

scholarly journals Factors affecting healthcare workers’ compliance with social and behavioural infection control measures during emerging infectious disease outbreaks: Rapid evidence review

2020 ◽  
Author(s):  
Samantha K. Brooks ◽  
Neil Greenberg ◽  
Simon Wessely ◽  
G. James Rubin
Keyword(s):  
Infectious Disease ◽  
Infection Control ◽  
Disease Outbreaks ◽  
Emerging Infectious Disease ◽  
Control Measures ◽  
Nosocomial Transmission ◽  
Infectious Disease Outbreaks ◽  
Infection Control Measures ◽  
Improve Compliance ◽  
Evidence Review

AbstractThe 2019-2020 outbreak of novel coronavirus has raised concerns about nosocomial transmission; that is, transmission within healthcare settings. Research from previous outbreaks of emerging infectious diseases suggests a major cause of nosocomial transmission is healthcare professionals’ poor compliance with recommended personal protective behaviours. This rapid evidence review explored existing literature on emerging infectious disease outbreaks to identify factors associated with compliance with social and behavioural infection control measures among healthcare staff. 56 papers were reviewed and several positive associations were found: Staff working in emergency or intensive care settings appeared more likely to comply with recommendations than those in other settings, and there was some evidence that contact with confirmed cases could improve compliance. There was some evidence that staff with higher levels of anxiety and higher concern about the risk of infection were more likely to comply with recommended behaviour, and that monitoring from superiors could improve compliance. Several negative associations were also found. Observed non-compliance of colleagues could hinder compliance. Staff identified many barriers to compliance related to personal protective equipment, including availability; perceived difficulty and effectiveness; inconvenience; discomfort; and a negative impact on patient care. There appeared to be many issues regarding the communication and ease of understanding of infection control guidance. Based on the results of this review we recommend provision of training and education tailored for different occupational roles within the healthcare setting; managerial staff ‘leading by example’; ensuring adequate resources for infection control; and timely provision of practical evidence-based infection control guidelines.

scholarly journals Transmission network of the 2014–2015 Ebola epidemic in Sierra Leone

2015 ◽  
Vol 12 (112) ◽  
pp. 20150536 ◽  
Author(s):  
Wan Yang ◽  
Wenyi Zhang ◽  
David Kargbo ◽  
Ruifu Yang ◽  
Yong Chen ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Sierra Leone ◽  
Disease Outbreaks ◽  
Emerging Infectious Disease ◽  
Control Measures ◽  
Transmission Network ◽  
Spatial Expansion ◽  
Critical Window ◽  
Infectious Disease Outbreaks ◽  
Observational Errors

Understanding the growth and spatial expansion of (re)emerging infectious disease outbreaks, such as Ebola and avian influenza, is critical for the effective planning of control measures; however, such efforts are often compromised by data insufficiencies and observational errors. Here, we develop a spatial–temporal inference methodology using a modified network model in conjunction with the ensemble adjustment Kalman filter, a Bayesian inference method equipped to handle observational errors. The combined method is capable of revealing the spatial–temporal progression of infectious disease, while requiring only limited, readily compiled data. We use this method to reconstruct the transmission network of the 2014–2015 Ebola epidemic in Sierra Leone and identify source and sink regions. Our inference suggests that, in Sierra Leone, transmission within the network introduced Ebola to neighbouring districts and initiated self-sustaining local epidemics; two of the more populous and connected districts, Kenema and Port Loko, facilitated two independent transmission pathways. Epidemic intensity differed by district, was highly correlated with population size ( r = 0.76, p = 0.0015) and a critical window of opportunity for containing local Ebola epidemics at the source ( ca one month) existed. This novel methodology can be used to help identify and contain the spatial expansion of future (re)emerging infectious disease outbreaks.

scholarly journals Tuberculosis in Healthcare Workers and Infection Control Measures at Primary Healthcare Facilities in South Africa

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76272 ◽  
Author(s):  
Mareli M. Claassens ◽  
Cari van Schalkwyk ◽  
Elizabeth du Toit ◽  
Eline Roest ◽  
Carl J. Lombard ◽  
...  
Keyword(s):  
South Africa ◽  
Infection Control ◽  
Primary Healthcare ◽  
Healthcare Workers ◽  
Control Measures ◽  
Healthcare Facilities ◽  
Infection Control Measures

scholarly journals COVID-19 Critical Care Simulations: An International Cross-sectional Survey

2020 ◽  
Author(s):  
Mohamad-Hani Temsah ◽  
Abdulkarim Alrabiaah ◽  
Ayman Al-Eyadhy ◽  
Fahad Al-Sohime ◽  
Abdullah Al Huzaimi ◽  
...  
Keyword(s):  
Infection Control ◽  
Healthcare Workers ◽  
Primary Outcome ◽  
Control Measures ◽  
Team Leaders ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Patient Transport ◽  
Infection Control Measures ◽  
Better Than

Abstract Background: Many healthcare systems initiated rapid training with COVID-19 simulations for their healthcare workers (HCWs) to build surge capacity and optimize infection control measures. This study aimed to describe COVID-19 simulation drills in international healthcare centers. Methods: This is a cross-sectional survey among simulation team leaders and HCWs, based on each center's debriefing reports from simulation centers from 30 countries in all WHO regions where COVID-19 simulation drills were conducted. The primary outcome measures were the COVID-19 simulations' characteristics, outcomes, facilitators, obstacles, and challenges encountered during the simulation sessions. Results: Invitation was sent to 500 simulation team leaders and HCWs, and 343 responded. Those who completed the study comprised 121 participants: 62.8% females; 56.2% physicians; 41.3% from East Mediterranean (EMRO) countries; 25.6% from Southeast Asian countries (SERO); and 12.4% from Europe. The frequency of simulation sessions was monthly (27.1%), weekly (24.8%), twice weekly (19.8%), or daily (21.5%). Among participants, 55.6% reported the team's full engagement in the simulation sessions. The average session length was 30–60 minutes. The most commonly reported debriefing leaders were ICU staff, simulation lab staff, and E.R. facilitators, and the least common were infection control staff. A total of 80% reported "a lot" to "a great improvement" in terms of clinical preparedness after simulation sessions, and 70% were satisfied with the COVID-19 simulation sessions and thought they were better than expected. Most of the perceived issues reported were related to infection control measures, followed by team dynamics, logistics, and patient transport issues. Conclusion: Simulation centers team leaders and HCWs reported positive feedback on COVID-19 simulation sessions. The presence of multiprofessional personnel during drills is warranted. These drills are a valuable tool for rehearsing safe dynamics of HCWs on the frontline of COVID-19.Trial registration: Not applicable.

scholarly journals Perfect counterfactuals for epidemic simulations

2019 ◽  
Vol 374 (1776) ◽  
pp. 20180279 ◽  
Author(s):  
Joshua Kaminsky ◽  
Lindsay T. Keegan ◽  
C. Jessica E. Metcalf ◽  
Justin Lessler
Keyword(s):  
Infectious Disease ◽  
Disease Outbreaks ◽  
Computation Time ◽  
Control Measures ◽  
Mathematical Representation ◽  
Theme Issue ◽  
Stochastic Variation ◽  
Infectious Disease Outbreaks ◽  
Negative Effect ◽  
And Control

Simulation studies are often used to predict the expected impact of control measures in infectious disease outbreaks. Typically, two independent sets of simulations are conducted, one with the intervention, and one without, and epidemic sizes (or some related metric) are compared to estimate the effect of the intervention. Since it is possible that controlled epidemics are larger than uncontrolled ones if there is substantial stochastic variation between epidemics, uncertainty intervals from this approach can include a negative effect even for an effective intervention. To more precisely estimate the number of cases an intervention will prevent within a single epidemic, here we develop a ‘single-world’ approach to matching simulations of controlled epidemics to their exact uncontrolled counterfactual. Our method borrows concepts from percolation approaches, prunes out possible epidemic histories and creates potential epidemic graphs (i.e. a mathematical representation of all consistent epidemics) that can be ‘realized’ to create perfectly matched controlled and uncontrolled epidemics. We present an implementation of this method for a common class of compartmental models (e.g. SIR models), and its application in a simple SIR model. Results illustrate how, at the cost of some computation time, this method substantially narrows confidence intervals and avoids nonsensical inferences. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.

scholarly journals Management of a Hospital-Wide COVID-19 Outbreak Affecting Patients and Healthcare Workers

2020 ◽  
Vol 2 (12) ◽  
pp. 2540-2545
Author(s):  
Steffen Höring ◽  
René Fussen ◽  
Johannes Neusser ◽  
Michael Kleines ◽  
Thea Laurentius ◽  
...  
Keyword(s):  
Infection Control ◽  
Healthcare Workers ◽  
Spatial Separation ◽  
Control Measures ◽  
Medical Conditions ◽  
Hospital Workers ◽  
Infection Control Team ◽  
Healthcare Facilities ◽  
Infection Control Measures ◽  
Control Team

AbstractTo the best of our knowledge, here, we describe the first hospital-wide outbreak of SARS-CoV-2 that occurred in Germany in April 2020. We aim to share our experience in order to facilitate the management of nosocomial COVID-19 outbreaks in healthcare facilities. All patients and hospital workers were screened for SARS-CoV-2 repeatedly. An infection control team on the side was installed. Strict spatial separation of patients and intensified hygiene training of healthcare workers (HCW) were initiated. By the time of reporting, 26 patients and 21 hospital workers were infected with a cluster of cases in the geriatric department. Fourteen patients developed COVID-19 consistent symptoms and five patients with severe pre-existing medical conditions died. The outbreak was successfully contained after intensified infection control measures were implemented and no further cases among patients were detected over a period of 14 days. Strict application of standard infection control measures proved to be successful in the management of nosocomial SARS-CoV-2 outbreaks.

scholarly journals Latent tuberculosis infection in healthcare workers in low- and middle-income countries: an updated systematic review

2019 ◽  
Vol 53 (4) ◽  
pp. 1801789 ◽  
Author(s):  
Lika Apriani ◽  
Susan McAllister ◽  
Katrina Sharples ◽  
Bachti Alisjahbana ◽  
Rovina Ruslami ◽  
...  
Keyword(s):  
Systematic Review ◽  
Infection Control ◽  
Healthcare Workers ◽  
Latent Tuberculosis ◽  
Annual Incidence ◽  
Control Measures ◽  
Middle Income ◽  
Middle Income Countries ◽  
Infection Control Measures ◽  
Increased Risk

Healthcare workers (HCWs) are at increased risk of latent tuberculosis (TB) infection (LTBI) and TB disease.We conducted an updated systematic review of the prevalence and incidence of LTBI in HCWs in low- and middle-income countries (LMICs), associated factors, and infection control practices. We searched MEDLINE, Embase and Web of Science (January 1, 2005–June 20, 2017) for studies published in any language. We obtained pooled estimates using random effects methods and investigated heterogeneity using meta-regression.85 studies (32 630 subjects) were included from 26 LMICs. Prevalence of a positive tuberculin skin test (TST) was 14–98% (mean 49%); prevalence of a positive interferon-γ release assay (IGRA) was 9–86% (mean 39%). Countries with TB incidence ≥300 per 100 000 had the highest prevalence (TST: pooled estimate 55%, 95% CI 41–69%; IGRA: pooled estimate 56%, 95% CI 39–73%). Annual incidence estimated from the TST was 1–38% (mean 17%); annual incidence estimated from the IGRA was 10–30% (mean 18%). The prevalence and incidence of a positive test was associated with years of work, work location, TB contact and job category. Only 15 studies reported on infection control measures in healthcare facilities, with limited implementation.HCWs in LMICs in high TB incidence settings remain at increased risk of acquiring LTBI. There is an urgent need for robust implementation of infection control measures.

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