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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8525750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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