Treatment and Outcomes Among Hospitalized COVID-19 Patients With Immune-mediated Inflammatory Diseases: An Electronic Health Record Database Cohort Study

2021 ◽  
Vol 7 (6) ◽  
Author(s):  
Alex Feu ◽  
Qian Cai ◽  
Emily Brouwer ◽  
Christopher Pericone ◽  
Kimberly Woodruff
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
Inflammatory Diseases ◽  
Health Record ◽  
Immune Mediated ◽  
Electronic Health

scholarly journals Stratifying risk for dementia onset using large‐scale electronic health record data: A retrospective cohort study

2020 ◽  
Vol 16 (3) ◽  
pp. 531-540 ◽  
Author(s):  
Thomas H. McCoy ◽  
Larry Han ◽  
Amelia M. Pellegrini ◽  
Rudolph E. Tanzi ◽  
Sabina Berretta ◽  
...  
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Large Scale ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Record Data ◽  
Electronic Health ◽  
Dementia Onset

scholarly journals Pediatric BMI changes during COVID-19 pandemic: An electronic health record-based retrospective cohort study

2021 ◽  
Vol 38 ◽  
pp. 101026
Author(s):  
Corinne G. Brooks ◽  
Jessica R. Spencer ◽  
J. Michael Sprafka ◽  
Kimberly A. Roehl ◽  
Junjie Ma ◽  
...  
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Health Record ◽  
Electronic Health

scholarly journals Prognosis of undiagnosed chest pain: linked electronic health record cohort study

BMJ ◽  
2017 ◽  
pp. j1194 ◽  
Author(s):  
Kelvin P Jordan ◽  
Adam Timmis ◽  
Peter Croft ◽  
Danielle A van der Windt ◽  
Spiros Denaxas ◽  
...  
Keyword(s):  
Cohort Study ◽  
Chest Pain ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health

scholarly journals Comparison of antibiotic prescribing records in two UK primary care electronic health record systems: cohort study using CPRD GOLD and CPRD Aurum databases

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e038767
Author(s):  
Martin C Gulliford ◽  
Xiaohui Sun ◽  
Thamina Anjuman ◽  
Eleanor Yelland ◽  
Tarita Murray-Thomas
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Record ◽  
Clinical Practice Research Datalink ◽  
Antibiotic Prescribing ◽  
Health Record ◽  
Medical Diagnoses ◽  
General Practices ◽  
Electronic Health ◽  
Tract Infections

ObjectivesWe aimed to evaluate recording of antibiotic prescribing from two primary care electronic health record systems.DesignCohort study.SettingUK general practices contributing to the Clinical Practice Research Datalink (CPRD) databases: CPRD GOLD (Vision data) and CPRD Aurum (EMIS data). English CPRD GOLD general practices were analysed as a subgroup, as all CPRD Aurum practices were located in England.Participants158 305 patients were randomly sampled from CPRD Aurum and 160 394 from CPRD GOLD.Outcome measuresAntibiotic prescriptions in 2017 were identified. Age-standardised and sex-standardised antibiotic prescribing rates per 1000 person years were calculated. Prescribing of individual antibiotic products and associated medical diagnoses was evaluated.ResultsThere were 101 360 antibiotic prescriptions at 883 CPRD Aurum practices and 112 931 prescriptions at 290 CPRD GOLD practices, including 112 general practices in England. The age-standardised and sex-standardised antibiotic prescribing rate in 2017 was 512.6 (95% CI 510.4 to 514.9) per 1000 person years in CPRD Aurum and 584.3 (582.1 to 586.5) per 1000 person years in CPRD GOLD (505.2 (501.6 to 508.9) per 1000 person years if restricted to practices in England). The 25 most frequently prescribed antibiotic products were similar in both databases. One or more medical codes were recorded on the same date as an antibiotic prescription for 72 989 (74%) prescriptions in CPRD Aurum, 84 756 (78%) in CPRD GOLD and 28 471 (78%) for CPRD GOLD in England. Skin, respiratory and genitourinary tract infections were recorded for 39 035 (40%) prescriptions in CPRD Aurum, 41 326 (38%) in CPRD GOLD, with 15 481 (42%) in English CPRD GOLD practices only.ConclusionEstimates for antibiotic prescribing and infection recording were broadly similar in both databases suggesting similar recording across EMIS and Vision systems. Future research on antimicrobial stewardship can also be conducted using primary care data in CPRD Aurum.

scholarly journals Exploring the potential of online self-reported and routinely collected electronic healthcare record data in self-harm research

2020 ◽  
Author(s):  
◽  
Amanda Marchant
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
National Survey ◽  
Health Data ◽  
Data Sources ◽  
Health Record ◽  
Healthcare Data ◽  
Research Register ◽  
Self Harm ◽  
Electronic Health

Background:Self-harm is a major public health concern and is a leading cause of death from injury. Reaching participants for self-harm research raises a number of challenges, however an opportunity exists in the use of both the internet for data collection and in the use of routinely collected healthcare data.Aims and objectives:The aim of this project was to explore the potential of both online and routinely collected healthcare data for self-harm research and the way in which these data sources can be brought together.Methods:This thesis represents a series of projects exploring the use of various data sources for self-harm research. The first was the development and piloting of an online platform (SHARE UK) for self-harm research. This website incorporated multiple functions: hosting questionnaires; sign-up for a research register; sign-up for linkage with routinely collected data and uploads to a media databank. Next a national survey was conducted to explore young people’s perspectives on the use of both online and healthcare data for self-harm research. Lastly a population level electronic health record cohort study analysing trends over time and contacts across healthcare services was conducted.Results:Participants engaged well with research online: 498 participants signed up to the SHARE UK platform; of whom 85% signed up for the research register. Sixty-two participants uploaded 95 items to the media databank. Alternative formats are discussed. Only 15% of participants consented for linkage with healthcare data. A total of 2,733 young people aged 10-24 who self-harm completed the national survey. Results demonstrated that the necessity for participants to give their address for linkage poses a significant barrier. Opinions around the use of Big Data, encompassing social media, marketing and health data are explored.A total of 937,697 individuals aged 10-24 provided 5,269,794 person years of data from 01.01.2003 to 20.09.2015 to the electronic health record cohort study. Self-harm incidence was highest in primary care. Males preferentially present to emergency departments. Male are less likely than females to be admitted following attendance. This difference persists in the youngest age groups and for self-poisoning. Analysis supports the importance of non-specialist services.Conclusions:This thesis has explored both online and routinely collected healthcare data and their utility for self-harm research, exploring participant views and issues via a national survey. An online platform for self-harm research was successfully piloted and issues identified. This series of projects explores possibilities for future self-harm research. The use of multiple data sources allows research to represent both those in the community and those presenting to healthcare settings, lowering many of the barriers to participating in self-harm research. The future utility of the SHARE UK platform through its collaboration with the Adolescent Mental Health Data Platform (ADP) is discussed. Results of this series of projects will be used to inform the development of this platform with lessons learnt from the pilot addressed and findings from both the national survey and the electronic health record cohort study informing and shaping future research.

scholarly journals Interpersonal continuity of primary care of veterans with diabetes: a cohort study using electronic health record data

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Christine M. Everett ◽  
Perri Morgan ◽  
Valerie A. Smith ◽  
Sandra Woolson ◽  
David Edelman ◽  
...  
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Record Data ◽  
Electronic Health
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