Abstract
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<jats:title>Background</jats:title>
<jats:p>Data to better understand and manage the COVID-19 pandemic is urgently needed. However, there are gaps in information stored within even the best routinely-collected electronic health records (EHR) including test results, remote consultations for suspected COVID-19, shielding, physical activity, mental health, and undiagnosed or untested COVID-19 patients. Observational and Pragmatic Research Institute (OPRI) Singapore and Optimum Patient Care (OPC) UK established Platform C19, a research database combining EHR data and bespoke patient questionnaire. We describe the demographics, clinical characteristics, patient behavior, and impact of the COVID-19 pandemic using data within Platform C19.</jats:p>
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<jats:title>Methods</jats:title>
<jats:p>EHR data from Platform C19 were extracted from 14 practices across UK participating in the OPC COVID-19 Quality Improvement program on a continuous, monthly basis. Starting 7<jats:sup>th</jats:sup> August 2020, consenting patients aged 18–85 years were invited in waves to fill an online questionnaire. Descriptive statistics were summarized using all data available up to 22<jats:sup>nd</jats:sup> January 2021.</jats:p>
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<jats:title>Findings</jats:title>
<jats:p>From 129,978 invitees, 31,033 responded. Respondents were predominantly female (59.6%), white (93.5%), and current or ex-smokers (52.6%). Testing for COVID-19 was received by 23.8% of respondents, of which 7.9% received positive results. COVID-19 symptoms lasted ≥4 weeks in 19.5% of COVID-19 positive respondents. Up to 39% respondents reported a negative impact on questions regarding their mental health. Most (67%-76%) respondents with asthma, Chronic Obstructive Pulmonary Disease (COPD), diabetes, heart, or kidney disease reported no change in the condition of their diseases.</jats:p>
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<jats:title>Interpretation</jats:title>
<jats:p>Platform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone.</jats:p>
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Original language | English |
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Pages (from-to) | e0258689-e0258689 |
Number of pages | 0 |
Journal | PLoS ONE |
Volume | 16 |
Issue number | 10 |
DOIs | |
Publication status | E-pub ahead of print - 19 Oct 2021 |