Research publications

Browse through all publications from the Institute of Global Health Innovation, which our Patient Safety Research Collaboration is part of. This feed includes reports and research papers from our Centre. 

Citation

BibTex format

@article{Espinosa-Gonzalez:10.1101/2021.12.23.21268279,
author = {Espinosa-Gonzalez, A and Prociuk, D and Fiorentino, F and Ramtale, C and Mi, E and Mi, E and Glampson, B and Neves, AL and Okusi, C and Hussain, L and Macartney, J and Brown, M and Browne, B and Warren, C and Chowla, R and Heaversedge, J and Greenhalgh, T and de, Lusignan S and Mayer, E and Delaney, B},
doi = {10.1101/2021.12.23.21268279},
title = {Remote Covid Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies},
url = {http://dx.doi.org/10.1101/2021.12.23.21268279},
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Accurate assessment of COVID-19 severity in the community is essential for best patient care and efficient use of services and requires a risk prediction score that is COVID-19 specific and adequately validated in a community setting. Following a qualitative phase to identify signs, symptoms and risk factors, we sought to develop and validate two COVID-19-specific risk prediction scores RECAP-GP (without peripheral oxygen saturation (SpO2)) and RECAP-O2 (with SpO2).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Prospective cohort study using multivariable logistic regression for model development. Data on signs and symptoms (model predictors) were collected on community-based patients with suspected COVID-19 via primary care electronic health records systems and linked with secondary data on hospital admission (primary outcome) within 28 days of symptom onset. Data sources: RECAP-GP: Oxford-Royal College of General Practitioners Research and Surveillance Centre (RSC) primary care practices (development), Northwest London (NWL) primary care practices, NHS COVID-19 Clinical Assessment Service (CCAS) (validation). RECAP-O2: Doctaly Assist platform (development, and validation in subsequent sample). Estimated sample size was 2,880 per model.</jats:p></jats:sec><jats:sec><jats:title>Findings</jats:title><jats:p>Data were available from 8,311 individuals. Observations, such SpO2, were mostly missing in NWL, RSC, and CCAS data; however, SpO2 was available for around 70% of Doctaly patients. In the final predictive models, RECAP-GP included sex, age, degree of breathlessness, temperature symptoms, and presence of hypertension (Area Under the Curve (AUC): 0.802, Validation Negative Predictive Value (NPV) of ‘low risk’ 98.8%. RECAP-O2 included age, de
AU  - Espinosa-Gonzalez,A
AU  - Prociuk,D
AU  - Fiorentino,F
AU  - Ramtale,C
AU  - Mi,E
AU  - Mi,E
AU  - Glampson,B
AU  - Neves,AL
AU  - Okusi,C
AU  - Hussain,L
AU  - Macartney,J
AU  - Brown,M
AU  - Browne,B
AU  - Warren,C
AU  - Chowla,R
AU  - Heaversedge,J
AU  - Greenhalgh,T
AU  - de,Lusignan S
AU  - Mayer,E
AU  - Delaney,B
DO  - 10.1101/2021.12.23.21268279
TI  - Remote Covid Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies
UR  - http://dx.doi.org/10.1101/2021.12.23.21268279
ER  -
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