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  4. Multimorbidity Indices for Adult Population: Systematic Review of Data Framework, Weighting Methods, and Applications
 
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Multimorbidity Indices for Adult Population: Systematic Review of Data Framework, Weighting Methods, and Applications

Journal
Archives of Gerontology and Geriatrics
Start Page
106216
ISSN
0167-4943
Date Issued
2026-03
Author(s)
Tsai, Claire Hui-Yu
SHU-SEN CHANG  
Bo Shen, Toby Kai-
HSIEN-HO LIN  
SHOU-HSIA CHENG  
JOHN TAYU LEE  
DOI
10.1016/j.archger.2026.106216
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/736950
Abstract
Background Understand the burden of multimorbidity is a key concern in both clinical care and policy decision-making. However, the rapid growth of multimorbidity indices has led to wide variation in their purpose, design, scope and applicability across settings. This systematic review synthesizes current evidence on the development and use of multimorbidity indices, with a focus on their predictive performance for clinical outcomes and health service use. Methods A systematic search was conducted in PubMed, Web of Science, and Scopus for studies published between 2000 and 2025 (CRD 420250653881). Eligible studies examined adults with at least two chronic conditions using index-based approaches to predict clinical and health service outcomes. Data were extracted on study design, population characteristics, index variables, statistical methods, and validation metrics. Results A total of 63 pivotal studies were identified, mainly from the US (37%), UK (11%), and Canada (8%). Most aimed to predict overall health or functional status (75%), mortality (60%), and healthcare use (60%). Common indices included the Charlson Comorbidity Index (CCI, n=17), Multimorbidity-Weighted Index (MWI, n=12), and Cumulative Illness Rating Scale (CIRS, n=10). Frequently used typologies included Disease-Specific Weighting, Simple Disease Count, and Severity-Based Weighting. While nearly all indices covered physical chronic conditions, fewer than 20% considered mental health disorders. Validation often relied on C-statistics, ranging from 0.66 to 0.931, and 43% of studies focused on validating existing indices. Several indices are now referenced in clinical guidelines and policy frameworks, demonstrating their value in system planning and patient risk stratification. Conclusions Current multimorbidity indices reveal gaps in scope and methodological consistency. Their limited attention to mental health underscores a narrow framing of disease burden. Though widely applied in clinical and policy contexts, the lack of standardized reporting hinders broader adoption and integration.
Subjects
Multimorbidity Comorbidity Weights Indices Health Service Use
Chronic Diseases
Publisher
Elsevier BV
Type
journal article

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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