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Using electronic health records to understand multimorbidity in older people: a scoping review

Using electronic health records to understand multimorbidity in older people: a scoping review
Using electronic health records to understand multimorbidity in older people: a scoping review
Purpose: the increasing availability of electronic health records (EHR), encompassing routinely collected general practice, hospital, and linked national census data, presents significant opportunities to enhance our understanding of multimorbidity at scale. However, the utility and clinical impact of EHR in advancing multimorbidity research, particularly concerning older adults who are disproportionately affected, remain unclear. This study aims to synthesise the literature on the use of EHR to investigate multimorbidity in individuals aged 65 years and older.

Method: we conducted a scoping review, performing literature searches across Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published from the inception of these databases until September 2024 were included if they investigated multimorbidity using EHR in individuals aged 65 years and older. The extracted data were synthesised using an iterative descriptive process.

Results: a total of 753 studies were identified, with 46 meeting the eligibility criteria for inclusion. All studies originated from high-income countries, primarily the USA and Spain. Research focused on areas such as healthcare utilisation and costs, predictive modelling based on patient disease profiles, specific clustering models, relationships between multimorbidity and particular disease categories, aetiology, polypharmacy, and the accuracy of EHR. Reporting on data completeness, sociodemographic characteristics, and the inclusion of ethnic and social diversity within EHR datasets was notably limited.

Conclusions: the use of EHR to elucidate multimorbidity is expanding and holds substantial promise. However, enhanced reporting of data completeness and sociodemographic characteristics is essential to facilitate the effective translation of findings into real-world populations. Neglecting these aspects, risks exacerbating inequality gaps for individuals 65 years and older with multimorbidity.

EHR, Multimorbidity, Older people, Scoping review
1878-7649
1163-1206
Smith, Lucy
835f8b9b-b6e0-4f5f-b6b4-a48c7913b463
Simpson, Glenn
802b50d9-aa00-4cca-9eaf-238385f8481c
Singh, Neil
6341983a-716e-4aad-b655-8450e0c9d1da
Wells, Lucy
d8e7370d-e936-4c77-b4ff-070274270294
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Smith, Lucy
835f8b9b-b6e0-4f5f-b6b4-a48c7913b463
Simpson, Glenn
802b50d9-aa00-4cca-9eaf-238385f8481c
Singh, Neil
6341983a-716e-4aad-b655-8450e0c9d1da
Wells, Lucy
d8e7370d-e936-4c77-b4ff-070274270294
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1

Smith, Lucy, Simpson, Glenn, Singh, Neil, Wells, Lucy and Dambha-Miller, Hajira (2025) Using electronic health records to understand multimorbidity in older people: a scoping review. European Geriatric Medicine, 16 (4), 1163-1206. (doi:10.1007/s41999-025-01231-x).

Record type: Review

Abstract

Purpose: the increasing availability of electronic health records (EHR), encompassing routinely collected general practice, hospital, and linked national census data, presents significant opportunities to enhance our understanding of multimorbidity at scale. However, the utility and clinical impact of EHR in advancing multimorbidity research, particularly concerning older adults who are disproportionately affected, remain unclear. This study aims to synthesise the literature on the use of EHR to investigate multimorbidity in individuals aged 65 years and older.

Method: we conducted a scoping review, performing literature searches across Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published from the inception of these databases until September 2024 were included if they investigated multimorbidity using EHR in individuals aged 65 years and older. The extracted data were synthesised using an iterative descriptive process.

Results: a total of 753 studies were identified, with 46 meeting the eligibility criteria for inclusion. All studies originated from high-income countries, primarily the USA and Spain. Research focused on areas such as healthcare utilisation and costs, predictive modelling based on patient disease profiles, specific clustering models, relationships between multimorbidity and particular disease categories, aetiology, polypharmacy, and the accuracy of EHR. Reporting on data completeness, sociodemographic characteristics, and the inclusion of ethnic and social diversity within EHR datasets was notably limited.

Conclusions: the use of EHR to elucidate multimorbidity is expanding and holds substantial promise. However, enhanced reporting of data completeness and sociodemographic characteristics is essential to facilitate the effective translation of findings into real-world populations. Neglecting these aspects, risks exacerbating inequality gaps for individuals 65 years and older with multimorbidity.

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s41999-025-01231-x - Version of Record
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More information

Accepted/In Press date: 7 May 2025
e-pub ahead of print date: 3 July 2025
Published date: 3 July 2025
Keywords: EHR, Multimorbidity, Older people, Scoping review

Identifiers

Local EPrints ID: 506549
URI: http://eprints.soton.ac.uk/id/eprint/506549
ISSN: 1878-7649
PURE UUID: b9a43374-80ab-4d23-b24c-435d68e05ebe
ORCID for Glenn Simpson: ORCID iD orcid.org/0000-0002-1753-942X
ORCID for Hajira Dambha-Miller: ORCID iD orcid.org/0000-0003-0175-443X

Catalogue record

Date deposited: 11 Nov 2025 17:41
Last modified: 12 Nov 2025 02:57

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Contributors

Author: Lucy Smith
Author: Glenn Simpson ORCID iD
Author: Neil Singh
Author: Lucy Wells

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