- ICH GCP
- US-Register für klinische Studien
- Klinische Studie NCT04646551
Covid-19 Risk Factors and Pattern Between Healthcare Workers
Assessment of the Pattern and Risk Factors of Covid-19 Between Infected Healthcare Workers at Assiut University Hospitals
Studienübersicht
Status
Bedingungen
Detaillierte Beschreibung
COVID-19 is a respiratory infectious disease caused by a novel coronavirus, SARS-CoV-2. The first batch of COVID-19 patients were found in December 2019 (1). The disease is mainly transmitted through respiratory droplets and close contact, and all people are susceptible to it (2). SARS-CoV-2 is highly contagious (3), and has quickly spread to most countries and regions of the world. COVID-19 has become a global pandemic and has received great attention from all over the world (4, 5). Till April 7, 2020, 1,214,466 confirmed cases of COVID-19 have been found in 211 countries and regions, causing 67,767 deaths (6). The main clinical manifestations of COVID-19 are cough, fever, malaise, chest distress and tachypnia and complications such acute respiratory distress syndrome.
Healthcare workers (HCWs) are on front line of treating patients infected with COVID-19. However, data related to infection rate among HCWs are limited. Early available evidence suggested that HCWs are being increasingly infected with the novel infection ranging from 15% to 18% and in some cases up to 20% of the infected population. Major risk factors of infection among HCWs include lack of understanding of the disease, inadequate use and availability personal Protective Equipment (PPE), uncertain diagnostic criteria, unavailability of diagnostic tests and psychological stress. Therefore the protection of HCWs by authorities should be prioritized through education and training, the readiness of staff, incentives, availability of PPEs, and psychological support. In this time of COVID-19 pandemic, big problem in hospitals that are flooded with infected symptomatic and asymptomatic patients. A critical aspect is the protection of the HCWs who are at risk, including individuals more than 50 years old those with presence of a systemic disease, smokers and disabled individuals. These HCWs should be identified and not assigned duties inwards and premises managing COVID 19 patients
Studientyp
Einschreibung (Voraussichtlich)
Kontakte und Standorte
Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Probenahmeverfahren
Studienpopulation
Beschreibung
Inclusion Criteria:
- Health care workers in Assiut University Hospitals ( ≥ 18 years old) who were infected with covid-19 and were diagnosed based on either PCR testing or based on radiological diagnosis.
Those who were not in contact with household Covid-19 patients within 14 days before getting infected.
Those who were adherent to social isolation apart from their work
b. Exclusion criteria : Patients with Covid-19 who are not HCWs in Assiut University Hospital. Those who were in contact with household infected patients within 14 days before getting infected.
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
---|---|---|
Assessment of the Pattern and Risk Factors of Covid-19 between infected Healthcare Workers
Zeitfenster: Baseline
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Risk Factors of Covid-19
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Baseline
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Mitarbeiter und Ermittler
Sponsor
Ermittler
- Studienleiter: Mohamed Mostafa Abdelhady, professor
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Voraussichtlich)
Primärer Abschluss (Voraussichtlich)
Studienabschluss (Voraussichtlich)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
- Covid-19 patterrn
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
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