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National Institutes of Health Advancing Multimorbidity Research

Dados Bibliográficos

ID9102046
AutoresMarcel E Salive (Geriatrics Branch, National Institute on Aging, Bethesda, MD, autor correspondente), Jerry Suls (0000-0002-8436-7488, Behavioral Research Program, National Cancer Institute, Currently at Feinstein Institutes for Medical Research/Northwell Health, New York City, NY), Tilda Farhat (Office of Science Policy, Planning, Evaluation, and Reporting, National Institute on Minority Health and Health Disparities, National Institutes of Health), Carrie N Klabunde (Disease Prevention, Office of Disease Prevention, National Institutes of Health, Bethesda, MD)
Ano2021
Volume59
Fascículo7
Páginas622-624
Data de publicação2021-07-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001565
PMID33900269
OpenAlexW3158457708
IdiomaEN
Citações recebidas3
Referências citadas7

BACKGROUND: Multimorbidity, the co-occurrence of 2 or more chronic diseases, is more common than having a single chronic disease, especially among persons age 65 years and older. The routine measurement of multimorbidity can facilitate a better understanding of potential causes and interactions and promote more effective treatment and improved outcomes. OBJECTIVES: To present a multimorbidity research framework and identify gaps in the research literature related to multimorbidity. DESIGN: In preparation for an expert panel workshop convened in September 2018, planning committee members reviewed the literature and developed a guiding framework that informed the selection of topics and speakers. RESULTS: The framework, grounded in a patient-centered approach, incorporates the concept of concordant and discordant comorbidity, and includes potential causes, interactions, and outcomes. This work informed workshop presentations and discussion related to identifying and selecting the best available multimorbidity instruments and determining future research needs. CONCLUSIONS: Multimorbidity research can be advanced by addressing gaps in study design and target populations, and by increasing attention to universal outcome measurement

Chronic disease · Comorbidity · Data science · Family medicine · Medical education · MEDLINE · Multimorbidity · Multiple Chronic Conditions · Political science · Psychiatry · Research design · Sociology · Chronic Disease Management Strategies · Computer Science · Healthcare cost, quality, practices · Medicine · Primary Care and Health Outcomes · Psychology

  • The structural roots of multimorbidity

    Open Access•Javier Álvarez-Gálvez, Carlos Villalba del Valle et al.•International Journal for Equity…•2026

  • Approach to Multimorbidity Burden Classification and Outcomes in Older Adults With Heart Failure

    Mayra Tisminetzky, Jerry H Gurwitz et al.•Medical Care•2023

  • Measuring Multimorbidity

    Jerry Suls, Elizabeth A Bayliss et al.•Medical Care•2021

  • The “All of Us” Research Program

    Open Access•The All of Us Research Program Investigators•New England Journal of Medicine•2019

  • Measuring Multimorbidity

    Jerry Suls, Elizabeth A Bayliss et al.•Medical Care•2021

Obras citantes distintas3
Citações por ano0,6
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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