Emerging approaches to multiple chronic condition assessment. Issue 9 (14th June 2022)

• Record Type: Journal Article
• Authors: Suls, Jerry; Salive, Marcel E.; Koroukian, Siran M.; Alemi, Farrokh; Silber, Jeffrey H.; Kastenmüller, Gabi; Klabunde, Carrie N.
• Is Part Of: Journal of the American Geriatrics Society. Volume 70:Issue 9(2022)
• Page Start: 2498
• Page End: 2507
• Publication Date: 2022-06-14
• Subjects: measurement -- multimorbidity -- multiple chronic conditions -- older people; Geriatrics -- Periodicals; 618.97
• DOI: 10.1111/jgs.17914
• Languages: English
• ISSNs: 0002-8614

Abstract

Abstract: 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.