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Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information

BACKGROUND: 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 a...

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Autores principales: Stanley, Brooklyn, Davis, Andrew, Jones, Rupert, Julious, Steven, Ryan, Dermot, Jackson, David, Halpin, David, Pinnock, Hilary, Quint, Jennifer, Khunti, Kamlesh, Heaney, Liam, Oliver, Philip, Siddiqui, Salman, Kemppinen, Anu, Appiagyei, Francis, Roberts, Emma-Jane, Hardjojo, Antony, Carter, Victoria, van Melle, Marije, Price, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525750/
https://www.ncbi.nlm.nih.gov/pubmed/34665843
http://dx.doi.org/10.1371/journal.pone.0258689
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author Stanley, Brooklyn
Davis, Andrew
Jones, Rupert
Julious, Steven
Ryan, Dermot
Jackson, David
Halpin, David
Pinnock, Hilary
Quint, Jennifer
Khunti, Kamlesh
Heaney, Liam
Oliver, Philip
Siddiqui, Salman
Kemppinen, Anu
Appiagyei, Francis
Roberts, Emma-Jane
Hardjojo, Antony
Carter, Victoria
van Melle, Marije
Price, David
author_facet Stanley, Brooklyn
Davis, Andrew
Jones, Rupert
Julious, Steven
Ryan, Dermot
Jackson, David
Halpin, David
Pinnock, Hilary
Quint, Jennifer
Khunti, Kamlesh
Heaney, Liam
Oliver, Philip
Siddiqui, Salman
Kemppinen, Anu
Appiagyei, Francis
Roberts, Emma-Jane
Hardjojo, Antony
Carter, Victoria
van Melle, Marije
Price, David
author_sort Stanley, Brooklyn
collection PubMed
description BACKGROUND: 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. METHODS: 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(th) 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(nd) January 2021. FINDINGS: 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. INTERPRETATION: Platform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone.
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spelling pubmed-85257502021-10-20 Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information Stanley, Brooklyn Davis, Andrew Jones, Rupert Julious, Steven Ryan, Dermot Jackson, David Halpin, David Pinnock, Hilary Quint, Jennifer Khunti, Kamlesh Heaney, Liam Oliver, Philip Siddiqui, Salman Kemppinen, Anu Appiagyei, Francis Roberts, Emma-Jane Hardjojo, Antony Carter, Victoria van Melle, Marije Price, David PLoS One Research Article BACKGROUND: 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. METHODS: 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(th) 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(nd) January 2021. FINDINGS: 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. INTERPRETATION: Platform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone. Public Library of Science 2021-10-19 /pmc/articles/PMC8525750/ /pubmed/34665843 http://dx.doi.org/10.1371/journal.pone.0258689 Text en © 2021 Stanley et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Stanley, Brooklyn
Davis, Andrew
Jones, Rupert
Julious, Steven
Ryan, Dermot
Jackson, David
Halpin, David
Pinnock, Hilary
Quint, Jennifer
Khunti, Kamlesh
Heaney, Liam
Oliver, Philip
Siddiqui, Salman
Kemppinen, Anu
Appiagyei, Francis
Roberts, Emma-Jane
Hardjojo, Antony
Carter, Victoria
van Melle, Marije
Price, David
Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title_full Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title_fullStr Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title_full_unstemmed Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title_short Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information
title_sort characteristics of patients in platform c19, a covid-19 research database combining primary care electronic health record and patient reported information
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525750/
https://www.ncbi.nlm.nih.gov/pubmed/34665843
http://dx.doi.org/10.1371/journal.pone.0258689
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