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Identifying Care Home Residents in Electronic Health Records - An OpenSAFELY Short Data Report.
Schultze, Anna; Bates, Chris; Cockburn, Jonathan; MacKenna, Brian; Nightingale, Emily; Curtis, Helen J; Hulme, William J; Morton, Caroline E; Croker, Richard; Bacon, Seb; McDonald, Helen I; Rentsch, Christopher T; Bhaskaran, Krishnan; Mathur, Rohini; Tomlinson, Laurie A; Williamson, Elizabeth J; Forbes, Harriet; Tazare, John; Grint, Daniel J; Walker, Alex J; Inglesby, Peter; DeVito, Nicholas J; Mehrkar, Amir; Hickman, George; Davy, Simon; Ward, Tom; Fisher, Louis; Evans, David; Wing, Kevin; Wong, Angel Ys; McManus, Robert; Parry, John; Hester, Frank; Harper, Sam; Evans, Stephen Jw; Douglas, Ian J; Smeeth, Liam; Eggo, Rosalind M; Goldacre, Ben.
  • Schultze A; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Bates C; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • Cockburn J; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • MacKenna B; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Nightingale E; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Curtis HJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, Select, WC1E 7HT, UK.
  • Hulme WJ; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Morton CE; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Croker R; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Bacon S; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • McDonald HI; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Rentsch CT; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Bhaskaran K; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Mathur R; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Tomlinson LA; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Williamson EJ; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Forbes H; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Tazare J; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Grint DJ; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Walker AJ; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Inglesby P; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • DeVito NJ; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Mehrkar A; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Hickman G; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Davy S; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Ward T; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Fisher L; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Evans D; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Wing K; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
  • Wong AY; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • McManus R; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Parry J; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • Hester F; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • Harper S; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • Evans SJ; The Phoenix Partnership, Leeds, LS18 5PX, UK.
  • Douglas IJ; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Smeeth L; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Eggo RM; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Goldacre B; 1 Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Wellcome Open Res ; 6: 90, 2021.
Article in English | MEDLINE | ID: covidwho-1395316
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Wellcome Open Res Year: 2021 Document Type: Article Affiliation country: Wellcomeopenres.16737.1

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Wellcome Open Res Year: 2021 Document Type: Article Affiliation country: Wellcomeopenres.16737.1