Identifying Care Home Residents in Electronic Health Records - An OpenSAFELY Short Data Report.

Anna Schultze ORCID logo ; Chris Bates ; Jonathan Cockburn ; Brian MacKenna ; Emily Nightingale ORCID logo ; Helen J Curtis ; William J Hulme ORCID logo ; Caroline E Morton ; Richard Croker ORCID logo ; Seb Bacon ; +29 more... Helen I McDonald ORCID logo ; Christopher T Rentsch ORCID logo ; Krishnan Bhaskaran ORCID logo ; Rohini Mathur ORCID logo ; Laurie A Tomlinson ORCID logo ; Elizabeth J Williamson ORCID logo ; Harriet Forbes ; John Tazare ORCID logo ; Daniel J Grint ORCID logo ; Alex J Walker ; Peter Inglesby ; Nicholas J DeVito ORCID logo ; Amir Mehrkar ; George Hickman ; Simon Davy ; Tom Ward ; Louis Fisher ; David Evans ; Kevin Wing ORCID logo ; Angel Ys Wong ORCID logo ; Robert McManus ; John Parry ORCID logo ; Frank Hester ; Sam Harper ; Stephen Jw Evans ORCID logo ; Ian J Douglas ; Liam Smeeth ORCID logo ; Rosalind M Eggo ORCID logo ; Ben Goldacre ORCID logo ; (2021) Identifying Care Home Residents in Electronic Health Records - An OpenSAFELY Short Data Report. Wellcome open research, 6. 90-. ISSN 2398-502X DOI: 10.12688/wellcomeopenres.16737.1
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Background: Care home residents have been severely affected by the COVID-19 pandemic. Electronic Health Records (EHR) hold significant potential for studying the healthcare needs of this vulnerable population; however, identifying care home residents in EHR is not straightforward. We describe and compare three different methods for identifying care home residents in the newly created OpenSAFELY-TPP data analytics platform.  Methods: Working on behalf of NHS England, we identified individuals aged 65 years or older potentially living in a care home on the 1st of February 2020 using (1) a complex address linkage, in which cleaned GP registered addresses were matched to old age care home addresses using data from the Care and Quality Commission (CQC); (2) coded events in the EHR; (3) household identifiers, age and household size to identify households with more than 3 individuals aged 65 years or older as potential care home residents. Raw addresses were not available to the investigators. Results: Of 4,437,286 individuals aged 65 years or older, 2.27% were identified as potential care home residents using the complex address linkage, 1.96% using coded events, 3.13% using household size and age and 3.74% using either of these methods. 53,210 individuals (32.0% of all potential care home residents) were classified as care home residents using all three methods. Address linkage had the largest overlap with the other methods; 93.3% of individuals identified as care home residents using the address linkage were also identified as such using either coded events or household age and size.  Conclusion: We have described the partial overlap between three methods for identifying care home residents in EHR, and provide detailed instructions for how to implement these in OpenSAFELY-TPP to support research into the impact of the COVID-19 pandemic on care home residents.


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