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

被引:2
|
作者
Stanley, Brooklyn [1 ,2 ]
Davis, Andrew [1 ,2 ]
Jones, Rupert [1 ,2 ,3 ]
Julious, Steven [4 ]
Ryan, Dermot [5 ]
Jackson, David [6 ,7 ]
Halpin, David [8 ]
Pinnock, Hilary [9 ]
Quint, Jennifer [10 ]
Khunti, Kamlesh [11 ]
Heaney, Liam [12 ,13 ]
Oliver, Philip [4 ]
Siddiqui, Salman [14 ]
Kemppinen, Anu [1 ,2 ]
Appiagyei, Francis [1 ,2 ]
Roberts, Emma-Jane [1 ,2 ]
Hardjojo, Antony [2 ]
Carter, Victoria [1 ,2 ]
van Melle, Marije [1 ,2 ]
Price, David [1 ,2 ,15 ]
机构
[1] Optimum Patient Care, Cambridge, England
[2] Observat & Pragmat Res Inst, Singapore, Singapore
[3] Univ Plymouth, Fac Hlth, Plymouth, Devon, England
[4] Univ Sheffield, Sheffield, S Yorkshire, England
[5] Univ Edinburgh, Usher Inst, Edinburgh, Midlothian, Scotland
[6] Guys & St Thomas NHS Trust, UK Severe Asthma Network & Natl Registry, London, England
[7] Kings Coll London, Div Asthma Allergy & Lung Biol, London, England
[8] Univ Exeter, Med Sch, Coll Med & Hlth, Exeter, Devon, England
[9] Univ Edinburgh, Asthma UK Ctr Appl Res, Usher Inst, Edinburgh, Midlothian, Scotland
[10] Imperial Coll London, Natl Heart & Lung Inst, London, England
[11] Univ Leicester, Leicester Gen Hosp, Diabet Res Ctr, Leicester, Leics, England
[12] Queens Univ Belfast, UK Severe Asthma Network & Natl Registry, Belfast, Antrim, North Ireland
[13] Queens Univ Belfast, Ctr Expt Med, Belfast, Antrim, North Ireland
[14] Univ Leicester, Leicester Natl Inst Hlth Res, Inst Lung Hlth, Biomed Res Ctr, Leicester, Leics, England
[15] Univ Aberdeen, Ctr Acad Primary Care, Div Appl Hlth Sci, Aberdeen, Scotland
来源
PLOS ONE | 2021年 / 16卷 / 10期
关键词
D O I
10.1371/journal.pone.0258689
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:13
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