Academic Journal
Synthesizing expert consensus to define a core condition set for multimorbidity measurement: A narrative review.
| Τίτλος: | Synthesizing expert consensus to define a core condition set for multimorbidity measurement: A narrative review. |
|---|---|
| Συγγραφείς: | Shao W; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Lu Z; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Wei X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Kong Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Long Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Zhang Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Shao R; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.; State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. |
| Πηγή: | Science progress [Sci Prog] 2026 Jan-Mar; Vol. 109 (1), pp. 368504251409841. Date of Electronic Publication: 2026 Feb 09. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: SAGE Publications Country of Publication: England NLM ID: 0411361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-7163 (Electronic) Linking ISSN: 00368504 NLM ISO Abbreviation: Sci Prog Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2019-> : [London] : SAGE Publications Original Publication: Oxford, Blackwell Scientific Publications [etc.] |
| Ιατρικοί όροι (MeSH): | Multimorbidity* , Consensus Statements as Topic* , Chronic Disease Indicators*, Humans ; Consensus ; International Classification of Diseases |
| Περίληψη: | Inconsistent measurement of multimorbidity hinders comparative research and evidence synthesis. To address this, this study is a narrative review, informed by a structured scoping search of three major databases. We synthesized formal expert-consensus studies to identify a foundational core set of conditions that can serve as a pragmatic starting point for improving research comparability. Our synthesis of three expert consensus studies identified a comprehensive core set of 105 consistently recommended condition categories at the International Classification of Diseases, 10th revision (ICD-10) three-digit level. These conditions span 10 major clinical domains, covering key conditions such as ischemic heart disease, diabetes, dementia, and depression. To facilitate application, we mapped this core set to both ICD-10 and preliminary ICD-11 codes. A foundational consensus for measuring multimorbidity is emerging. We propose a "Core-plus-Customization" framework, where the identified core set serves as an evidence-based starting point for research, requiring local adaptation rather than being a prescriptive "minimum dataset." This operationalized core set provides a practical tool to begin standardizing measurement in the field. |
| Competing Interests: | Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
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| Contributed Indexing: | Keywords: Multimorbidity; core condition set; expert consensus; measurement; narrative review |
| Entry Date(s): | Date Created: 20260210 Date Completed: 20260210 Latest Revision: 20260306 |
| Update Code: | 20260307 |
| PubMed Central ID: | PMC12891385 |
| DOI: | 10.1177/00368504251409841 |
| PMID: | 41664474 |
| Βάση Δεδομένων: | MEDLINE |
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