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Open Access
Peer-reviewed
Research Article
The impact of varying the number and selection of conditions on estimated multimorbidity prevalence: A cross-sectional study using a large, primary care population dataset
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Clare MacRae ,
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: clare.macrae@ed.ac.uk
Affiliations The Advanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom, The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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Megan McMinn,
Roles Data curation, Formal analysis, Writing – review & editing
Affiliation The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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Stewart W. Mercer,
Roles Formal analysis, Funding acquisition, Supervision, Writing – review & editing
Affiliations The Advanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom, The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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David Henderson,
Roles Formal analysis, Writing – review & editing
Affiliation The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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David A. McAllister,
Roles Funding acquisition, Writing – review & editing
Affiliation University of Glasgow Institute of Health and Wellbeing, Glasgow, United Kingdom
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Iris Ho,
Roles Writing – review & editing
Affiliations The Advanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom, The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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Emily Jefferson,
Roles Funding acquisition, Writing – review & editing
Affiliation University of Dundee Division of Population Health and Genomics, Dundee, United Kingdom
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Daniel R. Morales,
Roles Funding acquisition, Writing – review & editing
Affiliation University of Dundee Division of Population Health and Genomics, Dundee, United Kingdom
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Jane Lyons,
Roles Supervision, Writing – review & editing
Affiliation Swansea University Medical School, Swansea, United Kingdom
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Ronan A. Lyons,
Roles Methodology, Writing – review & editing
Affiliation Swansea University Medical School, Swansea, United Kingdom
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Chris Dibben,
Roles Supervision, Writing – review & editing
Affiliation The University of Edinburgh School of GeoSciences, Edinburgh, United Kingdom
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Bruce Guthrie
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Validation, Writing – review & editing
Affiliations The Advanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom, The Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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The impact of varying the number and selection of conditions on estimated multimorbidity prevalence: A cross-sectional study using a large, primary care population dataset
- Clare MacRae,
- Megan McMinn,
- Stewart W. Mercer,
- David Henderson,
- David A. McAllister,
- Iris Ho,
- Emily Jefferson,
- Daniel R. Morales,
- Jane Lyons,
- Ronan A. Lyons
- Published: April 4, 2023
- https://doi.org/10.1371/journal.pmed.1004208