Your browser doesn't support javascript.
Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource.
Wood, Angela; Denholm, Rachel; Hollings, Sam; Cooper, Jennifer; Ip, Samantha; Walker, Venexia; Denaxas, Spiros; Akbari, Ashley; Banerjee, Amitava; Whiteley, William; Lai, Alvina; Sterne, Jonathan; Sudlow, Cathie.
  • Wood A; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Denholm R; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK.
  • Hollings S; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
  • Cooper J; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK.
  • Ip S; The Alan Turing Institute, London, UK.
  • Walker V; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Denaxas S; Health Data Research UK, South West Better Care Partnership, Bristol, UK.
  • Akbari A; National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
  • Banerjee A; NHS Digital, Leeds, UK.
  • Whiteley W; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Lai A; Health Data Research UK, South West Better Care Partnership, Bristol, UK.
  • Sterne J; National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
  • Sudlow C; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
BMJ ; 373: n826, 2021 04 07.
Article in English | MEDLINE | ID: covidwho-1172748
ABSTRACT

OBJECTIVE:

To describe a novel England-wide electronic health record (EHR) resource enabling whole population research on covid-19 and cardiovascular disease while ensuring data security and privacy and maintaining public trust.

DESIGN:

Data resource comprising linked person level records from national healthcare settings for the English population, accessible within NHS Digital's new trusted research environment.

SETTING:

EHRs from primary care, hospital episodes, death registry, covid-19 laboratory test results, and community dispensing data, with further enrichment planned from specialist intensive care, cardiovascular, and covid-19 vaccination data.

PARTICIPANTS:

54.4 million people alive on 1 January 2020 and registered with an NHS general practitioner in England. MAIN MEASURES OF INTEREST Confirmed and suspected covid-19 diagnoses, exemplar cardiovascular conditions (incident stroke or transient ischaemic attack and incident myocardial infarction) and all cause mortality between 1 January and 31 October 2020.

RESULTS:

The linked cohort includes more than 96% of the English population. By combining person level data across national healthcare settings, data on age, sex, and ethnicity are complete for around 95% of the population. Among 53.3 million people with no previous diagnosis of stroke or transient ischaemic attack, 98 721 had a first ever incident stroke or transient ischaemic attack between 1 January and 31 October 2020, of which 30% were recorded only in primary care and 4% only in death registry records. Among 53.2 million people with no previous diagnosis of myocardial infarction, 62 966 had an incident myocardial infarction during follow-up, of which 8% were recorded only in primary care and 12% only in death registry records. A total of 959 470 people had a confirmed or suspected covid-19 diagnosis (714 162 in primary care data, 126 349 in hospital admission records, 776 503 in covid-19 laboratory test data, and 50 504 in death registry records). Although 58% of these were recorded in both primary care and covid-19 laboratory test data, 15% and 18%, respectively, were recorded in only one.

CONCLUSIONS:

This population-wide resource shows the importance of linking person level data across health settings to maximise completeness of key characteristics and to ascertain cardiovascular events and covid-19 diagnoses. Although this resource was initially established to support research on covid-19 and cardiovascular disease to benefit clinical care and public health and to inform healthcare policy, it can broaden further to enable a wide range of research.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / Medical Record Linkage / Electronic Health Records / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Vaccines Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: BMJ Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Bmj.n826

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / Medical Record Linkage / Electronic Health Records / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Vaccines Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: BMJ Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Bmj.n826