Literature DB >> 35699153

Emerging approaches to multiple chronic condition assessment.

Jerry Suls1, Marcel E Salive2, Siran M Koroukian3, Farrokh Alemi4, Jeffrey H Silber5, Gabi Kastenmüller6, Carrie N Klabunde7.   

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.
© 2022 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.

Entities:  

Keywords:  measurement; multimorbidity; multiple chronic conditions; older people

Mesh:

Year:  2022        PMID: 35699153      PMCID: PMC9489607          DOI: 10.1111/jgs.17914

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   7.538


  35 in total

1.  Simplifying likelihood ratios.

Authors:  Steven McGee
Journal:  J Gen Intern Med       Date:  2002-08       Impact factor: 5.128

2.  A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data.

Authors:  Carl van Walraven; Peter C Austin; Alison Jennings; Hude Quan; Alan J Forster
Journal:  Med Care       Date:  2009-06       Impact factor: 2.983

3.  Predicting risk of hospitalization or death among patients receiving primary care in the Veterans Health Administration.

Authors:  Li Wang; Brian Porter; Charles Maynard; Ginger Evans; Christopher Bryson; Haili Sun; Indra Gupta; Elliott Lowy; Mary McDonell; Kathleen Frisbee; Christopher Nielson; Fred Kirkland; Stephan D Fihn
Journal:  Med Care       Date:  2013-04       Impact factor: 2.983

4.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

5.  Multimorbidity Trends in United States Adults, 1988-2014.

Authors:  Dana E King; Jun Xiang; Courtney S Pilkerton
Journal:  J Am Board Fam Med       Date:  2018 Jul-Aug       Impact factor: 2.657

Review 6.  Network medicine: a network-based approach to human disease.

Authors:  Albert-László Barabási; Natali Gulbahce; Joseph Loscalzo
Journal:  Nat Rev Genet       Date:  2011-01       Impact factor: 53.242

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

8.  A hospital-specific template for benchmarking its cost and quality.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Philip A Saynisch; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2014-09-08       Impact factor: 3.402

9.  Plasma metabolites to profile pathways in noncommunicable disease multimorbidity.

Authors:  Maik Pietzner; Isobel D Stewart; Johannes Raffler; Kay-Tee Khaw; Gregory A Michelotti; Gabi Kastenmüller; Nicholas J Wareham; Claudia Langenberg
Journal:  Nat Med       Date:  2021-03-11       Impact factor: 53.440

10.  Impact of single and combined rare diseases on adult inpatient outcomes: a retrospective, cross-sectional study of a large inpatient population.

Authors:  Reka Maria Blazsik; Patrick Emanuel Beeler; Karol Tarcak; Marcus Cheetham; Viktor von Wyl; Holger Dressel
Journal:  Orphanet J Rare Dis       Date:  2021-02-27       Impact factor: 4.123

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