scholarly journals Serologic Surveillance and Phylogenetic Analysis of SARS-CoV-2 Infection in Hospital Health Care Workers

2021 ◽  
Author(s):  
Jonne J. Sikkens ◽  
David T.P. Buis ◽  
Edgar J.G. Peters ◽  
Mireille Dekker ◽  
Michiel Schinkel ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Care ◽  
Health Care Workers ◽  
Phylogenetic Analyses ◽  
Care Group ◽  
Research Fund ◽  
Trial Register ◽  
Care Workers ◽  
Increased Risk ◽  
Health Research And Development

AbstractBACKGROUNDIt is unclear how, when and where health care workers (HCW) working in hospitals are infected with SARS-CoV-2.METHODSProspective cohort study comprising 4-weekly measurement of SARS-CoV-2 specific antibodies and questionnaires from March to June 2020. We compared SARS-CoV-2 incidence between HCW working in Covid-19 patient care, HCW working in non-Covid-19 patient care and HCW not in patient care. Phylogenetic analyses of SARS-CoV-2 samples from patients and HCW were performed to identify potential transmission clusters.RESULTSWe included 801 HCW: 439 in the Covid-19 patient care group, 164 in the non-Covid-19 patient care group and 198 in the no patient care group. SARS-CoV-2 incidence was highest in HCW working in Covid-19 patient care (13.2%), as compared with HCW in non-Covid-19 patient care (6.7%, hazard ratio [HR] 2.2, 95% confidence interval [CI] 1.2 to 4.3) and in HCW not working in patient care (3.6%, HR 3.9, 95% CI 1.8 to 8.6). Within the group of HCW caring for Covid-19 patients, SARS-CoV-2 cumulative incidence was highest in HCW working on Covid-19 wards (25.7%), as compared with HCW working on intensive care units (7.1%, HR 3.6, 95% CI 1.9 to 6.9), and HCW working in the emergency room (8.0%, HR 3.3, 95% CI 1.5 to 7.1). Phylogenetic analyses on Covid-19 wards identified multiple potential HCW-to-HCW transmission clusters while no patient-to-HCW transmission clusters were identified.CONCLUSIONSHCW working on Covid-19 wards are at increased risk for nosocomial SARS-CoV-2 infection, with an important role for HCW-to-HCW transmission.(Funded by the Netherlands Organization for Health Research and Development ZonMw & the Corona Research Fund Amsterdam UMC; Netherlands Trial Register number NL8645)

scholarly journals Internal Medicine Residents' Time Study: Paperwork Versus Patient Care

2011 ◽  
Vol 3 (4) ◽  
pp. 550-553 ◽  
Author(s):  
Dalal Alromaihi ◽  
Amanda Godfrey ◽  
Tina Dimoski ◽  
Paul Gunnels ◽  
Eric Scher ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Health Care ◽  
General Practice ◽  
Patient Care ◽  
Health Care Workers ◽  
Direct Patient Care ◽  
Time Study ◽  
Structured Education ◽  
Internal Medicine Residents ◽  
Care Workers

Abstract Background Multiple factors affect residency education, including duty-hour restrictions and documentation requirements for regulatory compliance. We designed a work sampling study to determine the proportion of time residents spend in structured education, direct patient care, indirect patient care that must be completed by a physician, indirect patient care that may be delegated to other health care workers, and personal activities while on an inpatient general practice unit. Methods The 3-month study in 2009 involved 14 categorical internal medicine residents who volunteered to use personal digital assistants to self-report their location and primary tasks while on an inpatient general practice unit. Results Residents reported spending most of their time at workstations (43%) and less time in patient rooms (20%). By task, residents spent 39% of time on indirect patient care that must be completed by a physician, 31% on structured education, 17% on direct patient care, 9% on indirect patient care that may be delegated to other health care workers, and 4% on personal activities. From these data we estimated that residents spend 34 minutes per patient per day completing indirect patient care tasks compared with 15 minutes per patient per day in direct patient care. Conclusions This single-institution time study objectively quantified a current state of how and where internal medicine residents spend their time while on a general practice unit, showing that residents overall spend less time on direct patient care compared with other activities.

47 - Train the Trainer: Empowering Health-Care Workers to Enhance Diabetes Patient Care

2019 ◽  
Vol 43 (7) ◽  
pp. S20-S21
Author(s):  
Helene Porada ◽  
Catherine Godin ◽  
Monique Laliberte ◽  
Paul Linton
Keyword(s):  
Health Care ◽  
Patient Care ◽  
Health Care Workers ◽  
Diabetes Patient ◽  
Train The Trainer ◽  
Care Workers

scholarly journals Can computers improve patient care by primary health care workers in India?

2006 ◽  
Vol 18 (6) ◽  
pp. 437-445 ◽  
Author(s):  
David H. Peters ◽  
Manish Kohli ◽  
Maya Mascarenhas ◽  
Krishna Rao
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Patient Care ◽  
Health Care Workers ◽  
Improve Patient Care ◽  
Primary Health ◽  
Care Workers ◽  
Improve Patient

scholarly journals French ICU's health care workers have a poor knowledge of the cost of the devices they use for patient care: A prospective multicentric study

2020 ◽  
Vol 56 ◽  
pp. 37-41
Author(s):  
Paul Gabarre ◽  
Pierre-Yves Boelle ◽  
Naike Bigé ◽  
Muriel Fartoukh ◽  
Christophe Guitton ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Care ◽  
Health Care Workers ◽  
Multicentric Study ◽  
Poor Knowledge ◽  
Care Workers ◽  
The Cost

scholarly journals PREVALENCE OF LATENT TB INFECTION AMONG HEALTH CARE WORKERS, ALJAZEERA STATE TB CENTERS, SUDAN

2020 ◽  
Vol 5 (12) ◽  
pp. 465-470
Author(s):  
Juhaina Abdulraiem AL Mosharaf ◽  
Adam Abdalla Mater
Keyword(s):  
Health Care ◽  
Skin Test ◽  
Health Care Workers ◽  
Latent Tuberculosis ◽  
Health Care Facilities ◽  
Control Measures ◽  
Treatment Center ◽  
Infection Control Measures ◽  
Care Workers ◽  
Increased Risk

Health care workers (HCW) are at increased risk of latent tuberculosis infection (LTBI) from occupational exposure to Mycobacterium tuberculosis. The objective was to determine the prevalence and risk factors for LTBI among primary HCW in Aljazeera state Sudan. We conducted an analytical study, among HCW in TB treatment center using a structured questionnaire and an evaluated for LTBI using the tuberculin skin test among 367 HCW, the LTBI prevalence was 35.7%. (64.5%), We found that the following factors associated with LTBI in HCW were in age group 30-40 years was 63% ,75.2% of the participants didn't do the skin test for TB, and the high risk among the  lab technician represented 41.2%. Our study recommended implementation of sound TB infection control measures in all health care facilities with patients suspected of having infectious.

scholarly journals Attitudes towards preventive tuberculosis treatment among hospital staff

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1738 ◽  
Author(s):  
Vidya Pathak ◽  
Zinta Harrington ◽  
Claudia C. Dobler
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Healthcare Workers ◽  
Significant Proportion ◽  
Hospital Staff ◽  
Test Results ◽  
Tb Treatment ◽  
Care Workers ◽  
Increased Risk ◽  
Latent Tb

Background.Healthcare workers have an increased risk of latent tuberculosis infection (LTBI), but previous studies suggested that they might be reluctant to accept preventive tuberculosis (TB) treatment. We aimed to examine doctors’ and nurses’ experience of TB screening and to explore their attitudes towards preventive TB treatment.Methods.We conducted a survey among randomly selected healthcare workers at a tertiary hospital in Sydney, Australia, using a paper-based questionnaire.Results.A total of 1,304 questionnaires were distributed and 311 (24%) responses were received. The majority of hospital staff supported preventive TB treatment in health care workers with evidence of latent TB infection (LTBI) in general (74%, 164/223) and for them personally (81%, 198/244) while 80 and 53 healthcare workers respectively had no opinion on the topic. Staff working in respiratory medicine were significantly less likely to support preventive TB treatment in health care workers in general or for them personally if they would have evidence of LTBI compared to other specialties (p= 0.001). Only 13% (14/106) of respondents with evidence of LTBI indicated that they had been offered preventive TB treatment. Twenty-one percent (64/306) of respondents indicated that they did not know the difference between active and latent TB. Among staff who had undergone testing for LTBI, only 33% (75/230) felt adequately informed about the meaning of their test results.Discussion.Hospital staff in general had positive attitudes towards preventive TB treatment, but actual treatment rates were low and perceived knowledge about LTBI was insufficient among a significant proportion of staff. The gap between high support for preventive TB treatment among staff and low treatment rates needs to be addressed. Better education on the concept of LTBI and the meaning of screening test results is required.

scholarly journals Development of an Objective Risk Stratification Tool to facilitate workplace assessments of healthcare workers when dealing with the CoViD-19 pandemic

2020 ◽  
Author(s):  
W David Strain ◽  
Janusz Jankowski ◽  
Angharad Davies ◽  
Peter MB English ◽  
Ellis Friedman ◽  
...  
Keyword(s):  
Health Care ◽  
High Risk ◽  
Risk Stratification ◽  
Health Care Workers ◽  
Healthcare Workers ◽  
List Type ◽  
Care Workers ◽  
Increased Risk ◽  
Objective Risk ◽  
Risk Stratification Tool

SummaryHealthcare workers have a greater exposure to individuals with confirmed SARS-novel coronavirus 2, and thus a higher probability of contracting coronavirus disease (CoViD)-19, than the general population. Employers have a duty of care to minimise the risk for their employees. Several bodies including the Faculty of Occupational Medicine, NHS Employers, and Public Health England have published a requirement to perform risk assessments for all health care workers, however, with the absence of an objective risk stratification tool, comparing assessments between individuals is difficult if not impossible. Using published data, we explored the predictive role of basic demographics such as age, sex, ethnicity and comorbidities in order to establish an objective risk stratification tool that could help risk allocate duties to health care workers. We developed an objective risk stratification tool using a Caucasian female <50years of age with no comorbidities as a reference. Each point allocated to risk factors was associated with an approximate doubling in risk. This tool was then validated against the primary care-based analysis. This tool provides objective support for employers when determining which healthcare workers should be allocated to high-risk vs. lower risk patient facing clinical duties or to remote supportive roles.Strengths and limitations of this studyThere is an increased risk of mortality in the clinical workforce due to the effects of CoViD-19.This manuscript outlines a simple risk stratification tool that helps to quantify an individual’s biological riskThis will assist team leaders when allocating roles within clinical departments.This tool does not incorporate other external factors, such as high-risk household members or those at higher risk of mental health issues, that may require additional consideration when allocating clinical duties in an appropriate clinical domain.This population-based analysis did not explain for the very high risk observed in BAME healthcare workers suggesting there are other issues at play that require addressing. BAME healthcare workers suggesting there are other issues at play that require addressing.

scholarly journals Prevalence of SARS-CoV-2 infection and risk factors in health care workers

2020 ◽  
pp. 606-619
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Medical Doctors ◽  
Review Of The Literature ◽  
The People ◽  
Reliable Assessment ◽  
Care Workers ◽  
Increased Risk ◽  
Gender Knowledge ◽  
Reporting Method

The COVID-19 pandemic verifies the preparation of medical care in individual countries in terms of the fluent of guaranteed medical services provided to the people in need. Due to the easy spread of SARS-CoV-2 virus when in direct contact with the patients, health care workers are at an increased risk of infection. Nurses and auxiliary staff, as well as medical doctors, were most frequently infected. The prevalence of infection depends on the adopted reporting method, including the diagnostic test used to recognize the infection, the nature of the work performed, but also on the gender, knowledge, and individual behavior of employees while performing their professional duties. It ranges from 5-30% depending on the country and the occupational group, and the highest rates were recorded in the initial phase of the pandemic. A review of the literature shows the lack of a uniform, transparent system of reporting infections in health care workers, which makes a reliable assessment of the epidemiological situation in this area difficult.

scholarly journals COVID-19: A 2020 update

2020 ◽  
Vol 72 ◽  
pp. 88-94 ◽  
Author(s):  
M. Nadir Bhuiyan ◽  
Ravindra Ganesh ◽  
Amit K. Ghosh
Keyword(s):  
Health Care ◽  
Global Health ◽  
Health Care Workers ◽  
Medical Literature ◽  
Digital Health ◽  
Shortness Of Breath ◽  
Care Workers ◽  
Increased Risk ◽  
Global Health Care ◽  
Novel Coronavirus

The 2019 COVID-19 pandemic has thrown the global health-care system into a chaotic flux. Consolidating and reviewing all available knowledge will be crucial to combating the spread of this novel coronavirus. Prevention is paramount, but health care workers are at increased risk, and protective supplies are being limited and being rationed. Common symptoms include fever, cough, and shortness of breath. Hospitalizations are estimated to occur in about 20% of cases and are mostly due to pneumonia.[1] While multiple promising treatments are being reported in the medical literature; there is limited, reliable clinical data are available. To minimize exposure of medical staff to contagious patients and to provide rapid escalation of care to these patients, a telehealth strategy could be leveraged. Such a strategy would entail the use of both telemedicine visits for communication and digital health platforms for monitoring.

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