scholarly journals Cigarette smoking among health care workers at King Hussein Medical Center

2008 ◽  
Vol 3 (3) ◽  
pp. 281-284 ◽  
Author(s):  
Haytham M. El‐Khushman ◽  
Abdelmonem M. Sharara ◽  
Yousif M. Al‐Laham ◽  
Manaf A. Hijazi
Keyword(s):  
Health Care ◽  
Cigarette Smoking ◽  
Health Care Workers ◽  
Medical Center ◽  
Care Workers

scholarly journals 460. Point-of-Care, In-Home SARS-CoV-2 IgG Antibody Testing to Assess Seroprevalence in At-Risk Health Care Workers

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S297-S297
Author(s):  
Eric G Meissner ◽  
Christine Litwin ◽  
Tricia Crocker ◽  
Elizabeth Mack ◽  
Lauren Card
Keyword(s):  
Health Care ◽  
At Risk ◽  
Health Care Workers ◽  
Medical Center ◽  
Point Of Care ◽  
Academic Medical Center ◽  
Significant Risk ◽  
Documented Infection ◽  
Inconclusive Result ◽  
Care Workers

Abstract Background Health care workers are at significant risk for infection with the novel coronavirus SARS-CoV-2. Methods We utilized a point-of-care, lateral flow SARS-CoV-2 IgG immunoassay (RayBiotech) to conduct a seroprevalence study in a cohort of at-risk health care workers (n=339) and normal-risk controls (n=100) employed at an academic medical center. To minimize exposure risk while conducting the study, consents were performed electronically, tests were mailed and then self-administered at home using finger stick blood, and subjects uploaded a picture of the test result while answering an electronic questionnaire. We also validated the assay using de-identified serum samples from patients with PCR-proven SARS-CoV-2 infection. Results Between April 14th and May 6th 2020, 439 subjects were enrolled. Subjects were 68% female, 93% white, and most were physicians (38%) and nurses (27%). In addition, 37% had at least 1 respiratory symptom in the prior month, 34% had cared for a patient with known SARS-CoV-2 infection, 57% and 23% were worried about exposure at work or in the community, respectively, and 5 reported prior documented SARS-CoV-2 infection. On initial testing, 3 subjects had a positive IgG test, 336 had a negative test, and 87 had an inconclusive result. Of those with an inconclusive result who conducted a repeat test (85%), 96% had a negative result. All 3 positive IgG tests were in subjects reporting prior documented infection. Laboratory validation showed that of those with PCR-proven infection more than 13 days prior, 23/30 were IgG positive (76% sensitivity), whereas 1/26 with a negative prior PCR test were seropositive (95% specificity). Repeat longitudinal serologic testing every 30 days for up to 4 times is currently in progress. Conclusion We conducted a contact-free study in the setting of a pandemic to assess SARS-CoV-2 seroprevalence in an at-risk group of health care workers. The only subjects found to be IgG positive were those with prior documented infection, even though a substantial proportion of subjects reported significant potential occupational or community exposure and symptoms that were potentially compatible with SARS-COV-2 infection. Disclosures All Authors: No reported disclosures

Critical Incident Stress Debriefing for Health Care Workers

1994 ◽  
Vol 28 (4) ◽  
pp. 301-315 ◽  
Author(s):  
Pamela S. Lane
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Critical Incident ◽  
Medical Center ◽  
The United States ◽  
Critical Incident Stress Debriefing ◽  
Critical Incident Stress ◽  
Care Workers ◽  
Stress Debriefing ◽  
The Impact

A critical incident may be defined as a life-threatening crisis that requires rescue or emergency care. These incidents evoke strong emotional responses from health care workers. Some of the responses produced are normal and some are pathological stress and grief reactions. The Critical Incident Stress Debriefing process (CISD) is a model designed to mitigate the impact of such incidents on health care workers, to facilitate their return to routine functioning, and to prevent pathological responses to the trauma that is an inherent aspect of their profession. CISD is relied upon by hospital and emergency rescue professionals throughout the United States. The process was observed at St. Joseph's Hospital and Medical Center/Barrow Neurological Institute in Phoenix. This article examines the development of CISD and explores its implementation at St. Joseph's. Interviews conducted with health care workers who participated in the debriefing process following critical incident deaths are excerpted. Implications for death educators/counselors are discussed.

scholarly journals Analysis of the Healthcare MERS-CoV Outbreak in King Abdulaziz Medical Center, Riyadh, Saudi Arabia, June–August 2015 Using a SEIR Ward Transmission Model

2020 ◽  
Vol 17 (8) ◽  
pp. 2936 ◽  
Author(s):  
Tamer Oraby ◽  
Michael G. Tyshenko ◽  
Hanan H. Balkhy ◽  
Yasar Tasnif ◽  
Adriana Quiroz-Gaspar ◽  
...  
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Saudi Arabia ◽  
Health Care Workers ◽  
Medical Center ◽  
Transmission Model ◽  
Hospital Data ◽  
Epidemic Size ◽  
Care Workers ◽  
Hospital Patients

Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging zoonotic coronavirus that has a tendency to cause significant healthcare outbreaks among patients with serious comorbidities. We analyzed hospital data from the MERS-CoV outbreak in King Abdulaziz Medical Center, Riyadh, Saudi Arabia, June–August 2015 using the susceptible-exposed-infectious-recovered (SEIR) ward transmission model. The SEIR compartmental model considers several areas within the hospital where transmission occurred. We use a system of ordinary differential equations that incorporates the following units: emergency department (ED), out-patient clinic, intensive care unit, and hospital wards, where each area has its own carrying capacity and distinguishes the transmission by three individuals in the hospital: patients, health care workers (HCW), or mobile health care workers. The emergency department, as parameterized has a large influence over the epidemic size for both patients and health care workers. Trend of the basic reproduction number (R0), which reached a maximum of 1.39 at the peak of the epidemic and declined to 0.92 towards the end, shows that until added hospital controls are introduced, the outbreak would continue with sustained transmission between wards. Transmission rates where highest in the ED, and mobile HCWs were responsible for large part of the outbreak.

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