scholarly journals Validity of UK electronic health records to study migrant health: a population-based cohort study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
N Pathak ◽  
P Patel ◽  
R Mathur ◽  
R Burns ◽  
A Gonzalez-Izquierdo ◽  
...  
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Records ◽  
Barriers To Care ◽  
Population Based ◽  
Health Records ◽  
Migration Status ◽  
English Speaking ◽  
International Migrants ◽  
The Uk

Abstract Background An estimated 14.3% (9.4 million people) of people living in the UK in 2019 were international migrants. Despite this, little is known about how migrants access and use healthcare services. To use electronic healthcare records (EHRs) to study migration health, a valid migration phenotype is necessary: a transparent reproducible algorithm using clinical terminology codes to determine migration status. We have previously described the validity of a migration phenotype in CALIBER data using the Clinical Practice Research Datalink (CPRD), the largest UK primary care EHR. This study further evaluates the phenotype by examining certainty of migration status. Methods This is a population-based cohort study of individuals in CPRD Gold (1997-2018) with a Read term indicating migration to the UK. We describe completeness of recording of migration over time: percentage of individuals recorded as migrants. We also describe cohort size based on certainty of migration status: “definite” (country of birth or visa status terms), “probable” (non-English first/main language terms), and “possible” (non-UK origin terms). Results Overall, 2.5% (403,768/16,071,111) of CPRD had ≥1 of 434 terms indicating migration to the UK. The percentage of recorded migrants per year increased from 0.2% (4,417/2,210,551) in 1997 to 3.64% (100,626/2,761,397) in 2018, following a similar trend to national migration data. 44.27% (178,749/403,768) were “definite” migrants and 53.68% (216,731/403,768) were “probable” migrants. Only 2.05%(8,288/16,071,111) were “possible” migrants. Conclusions We have created a large cohort of international migrants in the UK and certainty of migration status is high. This cohort can be used to study migration health in UK primary care EHR. The large contribution of language terms make this phenotype particularly suitable for understanding healthcare access and use by non-English speaking migrants who may face additional barriers to care. Key messages We have developed a way to study migration health in UK primary care electronic health records. Our method is particularly useful to study healthcare for non-English speaking migrants who may face additional barriers to care.

scholarly journals Changing Epidemiology of Bariatric Surgery in the UK: Cohort Study Using Primary Care Electronic Health Records

2016 ◽  
Vol 26 (8) ◽  
pp. 1900-1905 ◽  
Author(s):  
Helen P. Booth ◽  
◽  
Omar Khan ◽  
Alison Fildes ◽  
A. Toby Prevost ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health ◽  
The Uk

scholarly journals Validity of using UK primary care electronic health records to study migration and health: a population-based cohort study

The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S75
Author(s):  
Neha Pathak ◽  
Rachel Burns ◽  
Arturo Gonzalez-Izquierdo ◽  
Spiros Denaxas ◽  
Pam Sonnenberg ◽  
...  
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Records ◽  
Population Based ◽  
Health Records ◽  
Electronic Health ◽  
Migration And Health

scholarly journals UK phenomics platform for developing and validating EHR phenotypes: CALIBER

2019 ◽  
Author(s):  
Spiros Denaxas ◽  
Arturo Gonzalez-Izquierdo ◽  
Kenan Direk ◽  
Natalie Fitzpatrick ◽  
Amitava Banerjee ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Population Based ◽  
Source Population ◽  
Snomed Ct ◽  
Health Records ◽  
Lifestyle Risk Factors ◽  
Electronic Health ◽  
Lifestyle Risk ◽  
The Uk

ABSTRACTObjectiveElectronic health records are a rich source of information on human diseases, but the information is variably structured, fragmented, curated using different coding systems and collected for purposes other than medical research. We describe an approach for developing, validating and sharing reproducible phenotypes from national structured Electronic Health Records (EHR) in the UK with applications for translational research.Materials and MethodsWe implemented a rule-based phenotyping framework, with up to six approaches of validation. We applied our framework to a sample of 15 million individuals in a national EHR data source (population based primary care, all ages) linked to hospitalization and death records in England. Data comprised continuous measurements such as blood pressure, medication information and coded diagnoses, symptoms, procedures and referrals, recorded using five controlled clinical terminologies: a) Read (primary care, subset of SNOMED-CT), b) ICD-9, ICD-10 (secondary care diagnoses and cause of mortality), c) OPCS-4 (hospital surgical procedures) and d) Gemscript Drug Codes.ResultsThe open-access CALIBER Portal (https://www.caliberresearch.org/portal) demonstrates phenotyping algorithms for 50 diseases, syndromes, biomarkers and lifestyle risk factors and provides up to six validation layers. These phenotyping algorithms have been used by 40 national/international research groups in 60 peer-reviewed publications.ConclusionHerein, we describe the UK EHR phenomics approach, CALIBER, with initial evidence of validity and use, as an important step towards international use of UK EHR data for health research.

scholarly journals Do health checks improve risk factor detection in primary care? Matched cohort study using electronic health records

2015 ◽  
Vol 38 (3) ◽  
pp. 552-559 ◽  
Author(s):  
Alice S. Forster ◽  
Caroline Burgess ◽  
Hiten Dodhia ◽  
Frances Fuller ◽  
Jane Miller ◽  
...  
Keyword(s):  
Primary Care ◽  
Risk Factor ◽  
Cohort Study ◽  
Electronic Health Records ◽  
Matched Cohort ◽  
Health Records ◽  
Matched Cohort Study ◽  
Health Checks ◽  
Electronic Health

scholarly journals Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0210040
Author(s):  
Hamad Bastaki ◽  
Louise Marston ◽  
Jackie Cassell ◽  
Greta Rait
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Imported Malaria ◽  
Health Records ◽  
Electronic Health ◽  
The Uk

scholarly journals Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Jennifer F. Summers ◽  
Dan G. O’Neill ◽  
David Church ◽  
Lisa Collins ◽  
David Sargan ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Primary Care Practice ◽  
Care Practice ◽  
Health Records ◽  
Health Related ◽  
Electronic Health ◽  
The Uk

scholarly journals Childhood obesity trends from primary care electronic health records in England between 1994 and 2013: population-based cohort study

2015 ◽  
Vol 100 (3) ◽  
pp. 214-219 ◽  
Author(s):  
Cornelia H M van Jaarsveld ◽  
Martin C Gulliford
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Electronic Health Records ◽  
Age Groups ◽  
Overweight And Obesity ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Obesity Trends ◽  
Electronic Health

ObjectiveThis study aimed to use primary care electronic health records to evaluate the prevalence of overweight and obesity in 2–15-year-old children in England and compare trends over the last two decades.DesignCohort study of primary care electronic health records.Setting375 general practices in England that contribute to the UK Clinical Practice Research Datalink.PatientsIndividual participants were sampled if they were aged between 2 and 15 years during the period 1994–2013 and had one or more records of body mass index (BMI).Main outcome measurePrevalence of overweight (including obesity) was defined as a BMI equal to or greater than the 85th centile of the 1990 UK reference population.ResultsData were analysed for 370 544 children with 507 483 BMI records. From 1994 to 2003, the odds of overweight and obesity increased by 8.1% per year (95% CI 7.2% to 8.9%) compared with 0.4% (−0.2% to 1.1%) from 2004 to 2013. Trends were similar for boys and girls, but differed by age groups, with prevalence stabilising in 2004 to 2013 in the younger (2–10 year) but not older (11–15 year) age group, where rates continued to increase.ConclusionsPrimary care electronic health records in England may provide a valuable resource for monitoring obesity trends. More than a third of UK children are overweight or obese, but the prevalence of overweight and obesity may have stabilised between 2004 and 2013.

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