Irritant Contact Dermatitis on Hands

2016 ◽  
Vol 32 (1) ◽  
pp. 93-99 ◽  
Author(s):  
Maryanne McGuckin ◽  
John Govednik
Keyword(s):  
Health Care ◽  
Contact Dermatitis ◽  
Health Care Workers ◽  
World Health ◽  
Irritant Contact Dermatitis ◽  
Simple Task ◽  
Clinical Model ◽  
Care Workers ◽  
The World ◽  
Health Care Associated Infections

Hand hygiene (HH) is the single most important procedure health care workers (HCWs) can follow to reduce the risk of spreading health care–associated infections, yet compliance with this simple task remains at less than 50%. One of the reasons often cited for noncompliance is irritant contact dermatitis (ICD) resulting from repeated exposure to HH products and procedure. This literature review used the World Health Organization’s components of empowerment as a guideline for the search and development of a clinical model to address HCW HH and ICD.

scholarly journals Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study (Preprint)

2020 ◽  
Author(s):  
Yingxiang Huang ◽  
Dina Radenkovic ◽  
Kevin Perez ◽  
Kari Nadeau ◽  
Eric Verdin ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Predictive Models ◽  
Model Development ◽  
Hospital Setting ◽  
World Health ◽  
Medical Attention ◽  
Age Related ◽  
Care Workers ◽  
The World

BACKGROUND The COVID-19 pandemic continues to ravage and burden hospitals around the world. The epidemic started in Wuhan, China, and was subsequently recognized by the World Health Organization as an international public health emergency and declared a pandemic in March 2020. Since then, the disruptions caused by the COVID-19 pandemic have had an unparalleled effect on all aspects of life. OBJECTIVE With increasing total hospitalization and intensive care unit admissions, a better understanding of features related to patients with COVID-19 could help health care workers stratify patients based on the risk of developing a more severe case of COVID-19. Using predictive models, we strive to select the features that are most associated with more severe cases of COVID-19. METHODS Over 3 million participants reported their potential symptoms of COVID-19, along with their comorbidities and demographic information, on a smartphone-based app. Using data from the >10,000 individuals who indicated that they had tested positive for COVID-19 in the United Kingdom, we leveraged the Elastic Net regularized binary classifier to derive the predictors that are most correlated with users having a severe enough case of COVID-19 to seek treatment in a hospital setting. We then analyzed such features in relation to age and other demographics and their longitudinal trend. RESULTS The most predictive features found include fever, use of immunosuppressant medication, use of a mobility aid, shortness of breath, and severe fatigue. Such features are age-related, and some are disproportionally high in minority populations. CONCLUSIONS Predictors selected from the predictive models can be used to stratify patients into groups based on how much medical attention they are expected to require. This could help health care workers devote valuable resources to prevent the escalation of the disease in vulnerable populations.

scholarly journals The Infection of COVID-19 among Health Care Workers in Dharmais Cancer Hospital

2021 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Mutiara Adelina ◽  
Fifi Dwijayanti
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
World Health ◽  
Care Workers ◽  
The World ◽  
Risk Condition ◽  
Contact Transmission ◽  
Health Organization ◽  
And Control ◽  
Death Cases

Infectious diseases are one of the biggest threats to humans. Currently, the world is in the outbreak condition causes of the COVID-19 virus which is started from Wuhan, China in December 2019. This disease was spread out rapidly throughout the World and was announced as a pandemic by the World Health Organization (WHO) on March 11, 2020(1). The infected number of SARS-CoV-2 was over 84 million people and caused over 1 million death cases in the worldwide. Indonesia had more than 800.000 infectious cases and 23.000 of death cases with the highest cases in Jakarta (2). This virus can be transmitted by two ways, such as direct contact (cough, sneeze, and droplet inhalation) and contact transmission (contact with oral, nasal, and eye mucous membranes) of person with COVID-19 (3). The current COVID-19 pandemic makes various challenges in prevention and control of infections in hospitals. Health care workers (HCWs) have been providing care to suspected, probable or confirmed COVID-19 patients that make them in high-risk condition. Several study indicated that many HCWs have been infected with SARS-CoV-2 in many hospitals worldwide (4)(5)(6).

scholarly journals Low Rates of Cutaneous Adverse Reactions to Alcohol-Based Hand Hygiene Solution during Prolonged Use in a Large Teaching Hospital

2005 ◽  
Vol 49 (10) ◽  
pp. 4404-4405 ◽  
Author(s):  
M. Graham ◽  
R. Nixon ◽  
L. J. Burrell ◽  
C. Bolger ◽  
P. D. R. Johnson ◽  
...  
Keyword(s):  
Health Care ◽  
Contact Dermatitis ◽  
Hand Hygiene ◽  
Teaching Hospital ◽  
Health Care Workers ◽  
Adverse Reactions ◽  
Irritant Contact Dermatitis ◽  
Large Teaching Hospital ◽  
Care Workers ◽  
Cutaneous Adverse Reactions

ABSTRACT We assessed cutaneous adverse reactions (CARs) to alcohol-based hand rub (ABHR) after the introduction of a hand hygiene culture change program at our institution. CARs were infrequent among exposed health care workers (HCWs) (13/2,750; 0.47%; 1 CAR per 72 years of HCW exposure) and were not influenced by the duration or intensity of ABHR use but were associated with the presence of irritant contact dermatitis.

scholarly journals Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

10.2196/25696 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e25696
Author(s):  
Yingxiang Huang ◽  
Dina Radenkovic ◽  
Kevin Perez ◽  
Kari Nadeau ◽  
Eric Verdin ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Predictive Models ◽  
Model Development ◽  
Hospital Setting ◽  
World Health ◽  
Medical Attention ◽  
Age Related ◽  
Care Workers ◽  
The World

Background The COVID-19 pandemic continues to ravage and burden hospitals around the world. The epidemic started in Wuhan, China, and was subsequently recognized by the World Health Organization as an international public health emergency and declared a pandemic in March 2020. Since then, the disruptions caused by the COVID-19 pandemic have had an unparalleled effect on all aspects of life. Objective With increasing total hospitalization and intensive care unit admissions, a better understanding of features related to patients with COVID-19 could help health care workers stratify patients based on the risk of developing a more severe case of COVID-19. Using predictive models, we strive to select the features that are most associated with more severe cases of COVID-19. Methods Over 3 million participants reported their potential symptoms of COVID-19, along with their comorbidities and demographic information, on a smartphone-based app. Using data from the >10,000 individuals who indicated that they had tested positive for COVID-19 in the United Kingdom, we leveraged the Elastic Net regularized binary classifier to derive the predictors that are most correlated with users having a severe enough case of COVID-19 to seek treatment in a hospital setting. We then analyzed such features in relation to age and other demographics and their longitudinal trend. Results The most predictive features found include fever, use of immunosuppressant medication, use of a mobility aid, shortness of breath, and severe fatigue. Such features are age-related, and some are disproportionally high in minority populations. Conclusions Predictors selected from the predictive models can be used to stratify patients into groups based on how much medical attention they are expected to require. This could help health care workers devote valuable resources to prevent the escalation of the disease in vulnerable populations.

FS10.2
Occupational contact dermatitis in health care workers

2008 ◽  
Vol 50 (3) ◽  
pp. 158-159 ◽  
Author(s):  
Vera Mahler ◽  
T Bruckner ◽  
A Schmidt ◽  
T L Diepgen
Keyword(s):  
Health Care ◽  
Contact Dermatitis ◽  
Health Care Workers ◽  
Occupational Contact Dermatitis ◽  
Care Workers ◽  
Occupational Contact

scholarly journals Standardised, quantitative neutralisation responses to SARS-CoV-2 Variants of Concern by convalescent anti-sera from first wave infections of UK Health Care Workers and Patients

2021 ◽  
Author(s):  
Diego Cantoni ◽  
Martin Mayora-Neto ◽  
Angalee Nadesalingam ◽  
David A. Wells ◽  
George W. Carnell ◽  
...  
Keyword(s):  
Health Care Workers ◽  
Healthcare Workers ◽  
World Health Organisation ◽  
World Health ◽  
Care Centre ◽  
International Standard ◽  
Care Workers ◽  
The World ◽  
Antibody Titres ◽  
The Uk

One of the defining criteria of Variants of Concern (VOC) is their ability to evade pre-existing immunity, increased transmissibility, morbidity and/or mortality. Here we examine the capacity of convalescent plasma, from a well defined cohort of healthcare workers (HCW) and Patients infected during the first wave from a national critical care centre in the UK, to neutralise B.1.1.298 variant and three VOCs; B.1.1.7, B.1.351 and P.1. Furthermore, to enable lab to lab, country to country comparisons we utilised the World Health Organisation (WHO) International Standard for anti-SARS-CoV-2 Immunoglobulin to report neutralisation findings in International Units. These findings demonstrate a significant reduction in the ability of first wave convalescent plasma to neutralise the VOCs. In addition, Patients and HCWs with more severe COVID-19 were found to have higher antibody titres and to neutralise the VOCs more effectively than individuals with milder symptoms. Widespread use of the WHO International Standard by laboratories in different countries will allow for cross-laboratory comparisons, to benchmark and to establish thresholds of protection against SARS-CoV-2 and levels of immunity in different settings and countries.

Sign in / Sign up

Export Citation Format

Share Document