Name (Synonyms) | Correlation | |
---|---|---|
drug500 | Extra blood sample Wiki | 0.71 |
drug680 | Inhaled nitric oxide gas Wiki | 0.71 |
drug1452 | Use of virus (Covid-19) genome sequence report to inform infection prevention control procedures Wiki | 0.71 |
drug644 | IC14 Wiki | 0.71 |
drug1016 | Placebo Wiki | 0.05 |
Name (Synonyms) | Correlation | |
---|---|---|
D003141 | Communicable Diseases NIH | 0.14 |
D007239 | Infection NIH | 0.09 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.08 |
D018352 | Coronavirus Infections NIH | 0.06 |
Name (Synonyms) | Correlation |
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There are 2 clinical trials
Thousands of healthcare workers have been infected with SARS-CoV-2 and contracted COVID-19 despite their best efforts to prevent contamination. No proven vaccine is available to protect healthcare workers against SARS-CoV-2. This study will enroll 470 healthcare professionals dedicated to care for patients with proven SARS-CoV-2 infection. Subjects will be randomized either in the observational (control) group or in the inhaled nitric oxide group. All personnel will observe measures on strict precaution in accordance with WHO and the CDC regulations.
Description: Percentage of subjects with COVID-19 diagnosis in the two groups
Measure: COVID-19 diagnosis Time: 14 daysDescription: Percentage of subjects with a positive test in the two groups
Measure: Positive SARS-CoV-2 rt-PCR test Time: 14 daysDescription: Mean/ Median in the two groups
Measure: Total number of quarantine days Time: 14 daysDescription: Percentage in the two groups
Measure: Proportion of healthcare providers requiring quarantine Time: 14 daysHospitals are recognised to be a major risk for the spread of infections despite the availability of protective measures. Under normal circumstances, staff may acquire and transmit infections, but the health impact of within hospital infection is greatest in vulnerable patients. For the novel coronavirus that causes COVID-19, like recent outbreaks such as the SARS and Ebola virus, the risk of within hospital spread of infection presents an additional, significant health risk to healthcare workers. Infection Prevention and Control (IPC) teams within hospitals engage in practices that minimise the number of infections acquired within hospital. This includes surveillance of infection spread, and proactively leading on training to clinical and other hospital teams. There is now good evidence that genome sequencing of epidemic viruses such as that which causes COVID-19, together with standard IPC, more effectively reduces within hospital infection rates and may help identify the routes of transmission, than just existing IPC practice. It is proposed to evaluate the benefit of genome sequencing in this context, and whether rapid (24-48h) turnaround on the data to IPC teams has an impact on that level of benefit. The study team will ask participating NHS hospitals to collect IPC information as per usual practice for a short time to establish data for comparison. Where patients are confirmed to have a COVID-19 infection thought to have been transmitted within hospital, their samples will be sequenced with data fed back to hospital teams during the intervention phase. A final phase without the intervention may take place for additional information on standard IPC practice when the COVID-19 outbreak is at a low level nationwide.
Description: Incidence rate of IPC-defined HOCIs, measured as incidence rate of recorded cases per week per 100 inpatients, during each phase of the study based on case report forms.
Measure: Incidence rates of IPC-defined hospital-onset COVID-19 infection (HOCIs) Time: 6 monthsDescription: Identification of nosocomial transmission using sequencing data in potential HOCIs in whom this was not identified by pre-sequencing IPC evaluation, measured using pre- and post-sequencing case report forms for each enrolled patient during study phases in which the sequence reporting tool is in use.
Measure: Change in incidence rates of IPC-defined HOCIs with rapid vs standard sequencing Time: 6 monthsDescription: Incidence rate of IPC-defined hospital outbreaks, defined as cases of hospital transmission linked by location and with intervals between diagnoses of no greater than 2 weeks (relevant data extracted from case report forms), measured as incidence rate of outbreak events per week per 100 inpatients during each phase of the study.
Measure: Incidence rates of IPC-defined hospital outbreaks Time: 6 monthsDescription: Incidence rate of IPC+sequencing-defined hospital outbreaks, defined by retrospective review of all available sequencing and epidemiological data for identification of transmission clusters and measured as outbreak events per week per 100 inpatients during each phase of the study.
Measure: Incidence rates of IPC+sequencing-defined hospital outbreaks Time: 6 monthsDescription: Changes to IPC actions implemented following receipt of viral sequence report, measured using pre- and post-sequencing case report forms for each enrolled patient during study phases in which the sequence reporting tool is in use.
Measure: Changes to IPC actions following viral sequence reports Time: 6 monthsDescription: Changes to IPC actions that would ideally have been implemented (given unlimited resources) following receipt of viral sequence report, measured using pre- and post-sequencing case report forms for each enrolled patient during study phases in which the sequence reporting tool is in use.
Measure: Recommended changes to IPC actions following viral sequence report - not implemented Time: 6 monthsDescription: Health economic benefit of standard and rapid sequencing reports to IPC measured using bespoke health economic case report data comparison between baseline, standard and rapid sequencing phases.
Measure: Health economic benefit to IPC of standard vs rapid sequencing reports Time: 6 monthsDescription: Number of HCW days off work measured from sampling these data points on case report forms at all study phases.
Measure: Impact of both standard and rapid sequencing reports on number of HCW days off work Time: 6 months