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Suls, J.* ; Salive, M.E.* ; Koroukian, S.M.* ; Alemi, F.* ; Silber, J.H.* ; Kastenmüller, G. ; Klabunde, C.N.*

Emerging approaches to multiple chronic condition assessment.

J. Am. Geriatr. Soc. 70, 2498-2507 (2022)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Measurement ; Multimorbidity ; Multiple Chronic Conditions ; Older People
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 0002-8614
e-ISSN 1532-5415
Zeitschrift Journal of the American Geriatrics Society
Quellenangaben Band: 70, Heft: 9, Seiten: 2498-2507 Artikelnummer: , Supplement: ,
Verlag Wiley
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503891-001
Förderungen National Institutes of Health Office of Disease Prevention
National Institutes of Health Office of Behavioral and Social Sciences Research
NIMHD NIH HHS
NIA NIH HHS
NCI NIH HHS
DOI 10.1111/jgs.17914
WOS ID WOS:000810561900001
Scopus ID 85131758667
PubMed ID 35699153
Erfassungsdatum 2022-07-27
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