scholarly journals Risk Factors for SARS-CoV-2 Infection Among US Healthcare Personnel, May–December 2020

2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Nora Chea ◽  
Cedric J. Brown ◽  
Taniece Eure ◽  
Rebecca Alkis Ramirez ◽  
Gregory Blazek ◽  
...  
Keyword(s):  
Risk Factors ◽  
Healthcare Personnel

scholarly journals Frequency, Associated Risk Factors, and Characteristics of COVID-19 Among Healthcare Personnel in a Spanish Health Department

2020 ◽  
Vol 59 (6) ◽  
pp. e221-e229
Author(s):  
Natividad Algado-Sellés ◽  
Paula Gras-Valentí ◽  
Pablo Chico-Sánchez ◽  
Juan G. Mora-Muriel ◽  
Victor M. Soler-Molina ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Department ◽  
Healthcare Personnel ◽  
Associated Risk Factors ◽  
Spanish Health

scholarly journals 2457. Data Science for Outbreak Investigation: Identifying Risk Factors, Tracing Contacts, and Eliciting Transmission Pathways in a Vancomycin-Resistant Enterococci (VRE) Outbreak

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S850-S850
Author(s):  
Stefan Zahnd ◽  
Theus Hossmann ◽  
Andrew Atkinson ◽  
Sabine Herbel ◽  
Luisa Salazar-Vizcaya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Devices ◽  
Data Science ◽  
Length Of Hospital Stay ◽  
Contact Tracing ◽  
Healthcare Personnel ◽  
Vancomycin Resistant Enterococci ◽  
Current Contact ◽  
Vancomycin Resistant ◽  
Transmission Pathways

Abstract Background In 2018 we experienced a nosocomial outbreak due to vancomycin-resistant enterococci (VRE) in our hospital network. Our goals were to characterize risk factors for VRE acquisition, elicit potential hot spots of transmission, and delineate an optimized approach to tracing contacts. Methods We assembled diverse datasets of variable quality and covering different aspects of care from electronic medical records generated during the outbreak period (1/2018–9/2018). Patients who tested VRE-positive during this period were compared with controls with up to 3 negative screenings. First, we identified risk factors for VRE colonization by means of uni- and multivariate analyses. Next, we elicited transmission pathways by detecting commonalities between VRE cases, and determined whether patients with characteristics and connections similar to VRE cases were missed by our current contact tracing strategy. Results We compared 221 VRE patients to 33,624 controls. Independent predictors of VRE colonization were ICU admission (OR 4.9, with 95% confidence interval [3.7–6.5], P < 0.001)], number of records in the database (a proxy for severity-of-illness, OR 1.1 [1.1–1.1], P < 0.001), length of hospital stay (OR 2.7 [2.0–3.5], P < 0.001), age (OR 1.3 [1.2–1.4], P < 0.001), and weeks of antibiotics (OR 1.2 [1.1–1.3], P < 0.001). By using complex network analysis, we were able to establish three main pathways by which the 221 VRE cases are connected: healthcare personnel, medical devices, and patient rooms. This multi-dimensional network extends beyond our current contact tracing strategy, which captures inpatients based on geographical proximity (cf. figure). Conclusion In this outbreak investigation based on a large electronic healthcare data collection, we found three main risk factors for being a VRE carrier (ICU admission, length of hospital stay, antibiotic exposure), along with three important links between VRE cases (healthcare personnel, medical devices, patient rooms). Data science is likely to provide a better understanding of outbreaks, but interpretations should take data maturity, the scope of included sources, and potential confounding factors into account. Disclosures All authors: No reported disclosures.

Pandemic 2009 Influenza A (H1N1) Virus among Japanese Healthcare Workers: Seroprevalence and Risk Factors

2012 ◽  
Vol 33 (1) ◽  
pp. 58-62 ◽  
Author(s):  
Yoko Nukui ◽  
Shuji Hatakeyama ◽  
Takatoshi Kitazawa ◽  
Tamami Mahira ◽  
Yoshizumi Shintani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Healthcare Workers ◽  
Influenza A ◽  
H1n1 Virus ◽  
Healthcare Personnel ◽  
Care Hospital ◽  
Occupational Risk Factors ◽  
Increased Risk ◽  
Influenza A H1n1 ◽  
2009 H1n1

Objective.To evaluate the seroprevalence and risk factors for 2009 influenza A (H1N1) virus infection among healthcare personnel.Design.Observational cross-sectional study.Patients and Setting.Healthcare workers (HCWs) in an acute care hospital.Methods.Between September 14 and October 4, 2009, before 2009 H1N1 vaccination, we collected serological samples from 461 healthy HCWs. Hemagglutination-inhibition antibody assays were conducted. To evaluate the risk factors of seropositivity for 2009 H1N1 virus, gender, age, profession, work department, usage of personal protective equipment, and seasonal influenza vaccination status data were gathered via questionnaires.Results.Our survey showed that doctors and nurses were at highest risk of seropositivity for the 2009 H1N1 virus (odds ratio [OR], 5.25 [95% confidence interval {CI}, 1.21–22.7]). An increased risk of seropositivity was observed among pediatric, emergency room, and internal medicine staff (adjusted OR, 1.98 [95% CI, 1.07–3.65]). Risk was also higher among HCWs who had high titers of antibodies against the seasonal H1N1 virus (adjusted OR, 1.59 [95% CI, 1.02–2.48]).Conclusions.Seropositivity for the 2009 H1N1 virus was associated with occupational risk factors among HCWs.Infect Control Hosp Epidemiol 2012;33(1):58-62

Prevalence and risk factors of female sexual dysfunction among healthcare personnel in malaysia

2014 ◽  
Vol 55 ◽  
pp. S17-S22 ◽  
Author(s):  
Gurdeep Singh Grewal ◽  
Jesjeet Singh Gill ◽  
Hatta Sidi ◽  
Kaur Gurpreet ◽  
Stephen Thevanathan Jambunathan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexual Dysfunction ◽  
Female Sexual Dysfunction ◽  
Healthcare Personnel

scholarly journals Risk Factors for Middle East Respiratory Syndrome Coronavirus Infection among Healthcare Personnel

2016 ◽  
Vol 22 (11) ◽  
pp. 1915-1920 ◽  
Author(s):  
Basem M. Alraddadi ◽  
Hanadi S. Al-Salmi ◽  
Kara Jacobs-Slifka ◽  
Rachel B. Slayton ◽  
Concepcion F. Estivariz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Middle East ◽  
Middle East Respiratory Syndrome ◽  
Healthcare Personnel ◽  
Coronavirus Infection

scholarly journals Epidemiology and risk factors of needlestick injuries among healthcare workers in Iran: a systematic reviews and meta-analysis

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Soheil Hassanipour ◽  
Mojtaba Sepandi ◽  
Reza Tavakkol ◽  
Mousa Jabbari ◽  
Hadiseh Rabiei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Reviews ◽  
Work Experience ◽  
Healthcare Workers ◽  
Meta Analysis ◽  
Significant Risk ◽  
Female Gender ◽  
Healthcare Personnel ◽  
Needlestick Injuries ◽  
Factors Affecting

Abstract Background Occupational contact with blood and body fluids poses a significant risk to healthcare workers. The aim of this systematic review is to investigate the epidemiology and risk factors affecting needlestick injuries (NSI) in healthcare personnel in Iran. Methods In March 2020, researchers studied six international databases such as Medline/PubMed, ProQuest, ISI/WOS, Scopus, Embase, and Google Scholar for English papers and two Iranian databases (MagIran and SID) for Persian papers. Joanna Briggs Institute (JBI) Critical Appraisal Checklist was used to assess quality of studies. The method of reporting was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Results A total of 43 articles were included in the analysis. Results showed that females (OR = 1.30, 95 % CI 1.06–1.58, P value = 0.009), younger age (OR = 2.75, 95 % CI 2.27–3.33, P value < 0.001, rotated shift workers (OR = 2.16, 95 % CI 1.47–3.15, P value < 0.001), not attending training courses (OR = 1.30, 95 % CI 1.07–1.56, P value = 0.006), working in the surgery ward (OR = 1.83, 95 % CI 1.33–2.50, P value < 0.001), less work experience (OR = 1.43, 95 % CI 1.04–1.95, P value = 0.025) apposed a greater risk factors for NSI among healthcare workers. Conclusion Based on the results of this review, factors such as young age, less work experience, work shift, and female gender are considered as strong risk factors for NSI injury in Iran. Preventive measures including education programs can reduce the burden of NSI among healthcare personnel.

scholarly journals Risk factors for transmission of carbapenem-resistant Enterobacterales to healthcare personnel gloves and gowns in the USA

2021 ◽  
Vol 109 ◽  
pp. 58-64
Author(s):  
L.M. O'Hara ◽  
M.H. Nguyen ◽  
D.P. Calfee ◽  
L.G. Miller ◽  
L. Pineles ◽  
...  
Keyword(s):  
Risk Factors ◽  
Healthcare Personnel ◽  
Carbapenem Resistant ◽  
The Usa

scholarly journals SARS-CoV-2 infection risk factors among maintenance hemodialysis patients and healthcare personnel in outpatient hemodialysis centers

Kidney360 ◽  
2021 ◽  
pp. 10.34067/KID.0001282021
Author(s):  
Sumanth Gandra ◽  
Tingting Li ◽  
Kimberly A. Reske ◽  
Na Le Dang ◽  
Christopher W. Farnsworth ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hemodialysis Patients ◽  
Infection Risk ◽  
Healthcare Personnel ◽  
Maintenance Hemodialysis ◽  
Early Access ◽  
Infection Risk Factors ◽  
Maintenance Hemodialysis Patients

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scholarly journals Occupational Risk Factors for SARS-CoV-2 Infection among Healthcare Personnel: A Cross-Sectional Analysis of Subjects Enrolled in the COPE Study

2021 ◽  
pp. 1-20
Author(s):  
Jessica Howard-Anderson ◽  
Carly Adams ◽  
Amy C. Sherman ◽  
William C. Dube ◽  
Teresa C. Smith ◽  
...  
Keyword(s):  
Risk Factors ◽  
Occupational Risk ◽  
Healthcare Personnel ◽  
Cross Sectional ◽  
Occupational Risk Factors ◽  
Longitudinal Cohort ◽  
Black Race ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Among 353 healthcare personnel in a longitudinal cohort in four hospitals in Atlanta, GA (May-June 2020), 23 (6.5%) had SARS-CoV-2 antibodies. Spending >50% of a typical shift at bedside (OR 3.4, 95% CI: 1.2–10.5) and Black race (OR 8.4, 95% CI: 2.7–27.4) were associated with SARS-CoV-2 seropositivity.

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