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A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods

Thamer Ba Dhafari Orcid Logo, Alexander Pate Orcid Logo, Narges Azadbakht, Rowena Bailey, Jim Rafferty Orcid Logo, Farideh Jalali-najafabadi, Glen P. Martin, Abdelaali Hassaine Orcid Logo, Ashley Akbari Orcid Logo, Jane Lyons, Alan Watkins Orcid Logo, Ronan Lyons Orcid Logo, Niels Peek Orcid Logo

Journal of Clinical Epidemiology, Volume: 165, Start page: 111214

Swansea University Authors: Rowena Bailey, Jim Rafferty Orcid Logo, Ashley Akbari Orcid Logo, Jane Lyons, Alan Watkins Orcid Logo, Ronan Lyons Orcid Logo

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DOI (Published version): 10.1016/j.jclinepi.2023.11.004

Abstract

Objectives: Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.Study design and...

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Published in: Journal of Clinical Epidemiology
ISSN: 0895-4356
Published: Elsevier BV 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa65170
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Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.Study design and setting: We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns.Results: Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation.Conclusion: The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. 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spelling v2 65170 2023-12-01 A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods 455e2c1e6193448f6269b9e72acaf865 Rowena Bailey Rowena Bailey true false 52effe759a718bd36eb12cdd10fe1a09 0000-0002-1667-7265 Jim Rafferty Jim Rafferty true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false 81fc05c9333d9df41b041157437bcc2f 0000-0003-3804-1943 Alan Watkins Alan Watkins true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2023-12-01 HDAT Objectives: Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.Study design and setting: We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns.Results: Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation.Conclusion: The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. Methodological guidance on the validation of multimorbidity patterns is needed. Journal Article Journal of Clinical Epidemiology 165 111214 Elsevier BV 0895-4356 Analytical method; Cluster analysis; Latent class analysis; Multimorbidity; Scoping review; Validation. 1 1 2024 2024-01-01 10.1016/j.jclinepi.2023.11.004 http://dx.doi.org/10.1016/j.jclinepi.2023.11.004 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University Another institution paid the OA fee 2024-03-25T14:38:08.4814744 2023-12-01T09:36:21.8255233 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Thamer Ba Dhafari 0000-0002-8653-7874 1 Alexander Pate 0000-0002-0849-3458 2 Narges Azadbakht 3 Rowena Bailey 4 Jim Rafferty 0000-0002-1667-7265 5 Farideh Jalali-najafabadi 6 Glen P. Martin 7 Abdelaali Hassaine 0000-0002-3270-1165 8 Ashley Akbari 0000-0003-0814-0801 9 Jane Lyons 10 Alan Watkins 0000-0003-3804-1943 11 Ronan Lyons 0000-0001-5225-000X 12 Niels Peek 0000-0002-6393-9969 13 65170__29624__d2fee00347324911b49f6aa7758671e5.pdf 65170.pdf 2024-03-05T08:56:22.0590070 Output 822721 application/pdf Version of Record true This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/). false eng https://creativecommons.org/licenses/by/4.0/
title A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
spellingShingle A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
Rowena Bailey
Jim Rafferty
Ashley Akbari
Jane Lyons
Alan Watkins
Ronan Lyons
title_short A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
title_full A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
title_fullStr A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
title_full_unstemmed A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
title_sort A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods
author_id_str_mv 455e2c1e6193448f6269b9e72acaf865
52effe759a718bd36eb12cdd10fe1a09
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83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv 455e2c1e6193448f6269b9e72acaf865_***_Rowena Bailey
52effe759a718bd36eb12cdd10fe1a09_***_Jim Rafferty
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
1b74fa5125a88451c52c45bcf20e0b47_***_Jane Lyons
81fc05c9333d9df41b041157437bcc2f_***_Alan Watkins
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Rowena Bailey
Jim Rafferty
Ashley Akbari
Jane Lyons
Alan Watkins
Ronan Lyons
author2 Thamer Ba Dhafari
Alexander Pate
Narges Azadbakht
Rowena Bailey
Jim Rafferty
Farideh Jalali-najafabadi
Glen P. Martin
Abdelaali Hassaine
Ashley Akbari
Jane Lyons
Alan Watkins
Ronan Lyons
Niels Peek
format Journal article
container_title Journal of Clinical Epidemiology
container_volume 165
container_start_page 111214
publishDate 2024
institution Swansea University
issn 0895-4356
doi_str_mv 10.1016/j.jclinepi.2023.11.004
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
url http://dx.doi.org/10.1016/j.jclinepi.2023.11.004
document_store_str 1
active_str 0
description Objectives: Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.Study design and setting: We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns.Results: Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation.Conclusion: The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. Methodological guidance on the validation of multimorbidity patterns is needed.
published_date 2024-01-01T14:38:05Z
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