Patterns of multimorbidity in primary care electronic health records: A systematic review
Background Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in pr...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-01-01
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| Series: | Journal of Multimorbidity and Comorbidity |
| Online Access: | https://doi.org/10.1177/26335565231223350 |
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| author | Giorgi Beridze Ahmad Abbadi Joan Ars Francesca Remelli Davide L Vetrano Caterina Trevisan Laura-Mónica Pérez Juan A López-Rodríguez Amaia Calderón-Larrañaga |
| author_facet | Giorgi Beridze Ahmad Abbadi Joan Ars Francesca Remelli Davide L Vetrano Caterina Trevisan Laura-Mónica Pérez Juan A López-Rodríguez Amaia Calderón-Larrañaga |
| author_sort | Giorgi Beridze |
| collection | DOAJ |
| description | Background Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data. Methods Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale. Results Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine). Discussion These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations. |
| format | Article |
| id | doaj-art-b030a937d18d4ca981743595c88dbfe3 |
| institution | Kabale University |
| issn | 2633-5565 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Multimorbidity and Comorbidity |
| spelling | doaj-art-b030a937d18d4ca981743595c88dbfe32025-01-30T17:03:21ZengSAGE PublishingJournal of Multimorbidity and Comorbidity2633-55652024-01-011410.1177/26335565231223350Patterns of multimorbidity in primary care electronic health records: A systematic reviewGiorgi BeridzeAhmad AbbadiJoan ArsFrancesca RemelliDavide L VetranoCaterina TrevisanLaura-Mónica PérezJuan A López-RodríguezAmaia Calderón-LarrañagaBackground Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data. Methods Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale. Results Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine). Discussion These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations.https://doi.org/10.1177/26335565231223350 |
| spellingShingle | Giorgi Beridze Ahmad Abbadi Joan Ars Francesca Remelli Davide L Vetrano Caterina Trevisan Laura-Mónica Pérez Juan A López-Rodríguez Amaia Calderón-Larrañaga Patterns of multimorbidity in primary care electronic health records: A systematic review Journal of Multimorbidity and Comorbidity |
| title | Patterns of multimorbidity in primary care electronic health records: A systematic review |
| title_full | Patterns of multimorbidity in primary care electronic health records: A systematic review |
| title_fullStr | Patterns of multimorbidity in primary care electronic health records: A systematic review |
| title_full_unstemmed | Patterns of multimorbidity in primary care electronic health records: A systematic review |
| title_short | Patterns of multimorbidity in primary care electronic health records: A systematic review |
| title_sort | patterns of multimorbidity in primary care electronic health records a systematic review |
| url | https://doi.org/10.1177/26335565231223350 |
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