Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Associated Media:
Description:
This test dataset consists of one table of variables collected in PRIEST dataset. The PRIEST (Pandemic Respiratory Infection Emergency System Triage) Study for Low and Middle-Income Countries (DP – PRIEST)
To ensure hospitals in low- and middle- income countries are not overwhelmed during the COVID-19 pandemic by developing a risk assessment tool for clinicians to quickly decide whether a patient needs emergency care or can be safely sent home.
Carl Marincowitz and colleagues at the University of Sheffield in the United Kingdom and the University of Cape Town in South Africa have developed a risk assessment tool to help emergency clinicians quickly decide whether a patient with suspected COVID-19 needs emergency care or can be safely treated at home to avoid overburdening hospitals particularly in low- and middle- income countries (LMICs). They have used existing data to which they have access on 50,000 patients with suspected COVID-19 infection who sought emergency care in the United Kingdom, South Africa, and Sudan to develop prediction models for specific COVID-19 related outcomes in all income settings. These prediction models have been used to develop risk stratification tools, which enable providers to identify the right level of care and services for distinct subgroups of patients. These have been developed with input from patient and clinical stakeholders. The team have tested the performance of their risk assessment tools for identifying high-risk patients with existing triage methods.
Coverage
Spatial:
Sudan; South Africa; United Kingdom
Provenance
Origin
Sources:
Other
Temporal
Accrual Periodicity:
Static
Start Date:
01 January 2023
End Date:
31 December 2020
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Delivery Lead Time:
Not applicable
Jurisdictions:
- ZA
- SD
- GB
Data Controller:
Ministries of health, South Africa, Sudan, United Kingdom.
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Languages:
en
Formats:
text
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
1
Count
01 January 2023