TY - JOUR
T1 - Frailty assessment using routine clinical data
T2 - An integrative review
AU - Lim, Arum
AU - Choi, Ji Yeon
AU - Ji, Hyunju
AU - Lee, Hyangkyu
N1 - Publisher Copyright:
© 2021
PY - 2022/3/1
Y1 - 2022/3/1
N2 - Background: Frailty is a common but complex problem in older adults. Frailty assessment using routine clinical data has been suggested as a pragmatic approach based on electronic health records from primary care center or hospital settings. Purpose: We aimed to explore the tools and outcome variables used in the published studies on frailty assessment using routine clinical data. Methods: An integrative literature review was conducted using the method of Whittemore and Knafl. A literature search was conducted in PubMed, EMBASE, and CINAHL from January 2010 to October 2021. Results: A total of 45 studies and thirteen frailty assessment tools were analyzed. The assessment items were generally biased toward frailty's risk factors rather than the mechanisms or phenotypes of frailty. Similar to using conventional tools, routine clinical data-based frailty was associated with adverse health outcomes. Conclusions: Frailty assessment based on routine clinical data could efficiently evaluate frailty using electronic health records from primary care centers or hospitals. However, they need refinement to consider the risk factors, mechanisms, and frailty phenotypes.
AB - Background: Frailty is a common but complex problem in older adults. Frailty assessment using routine clinical data has been suggested as a pragmatic approach based on electronic health records from primary care center or hospital settings. Purpose: We aimed to explore the tools and outcome variables used in the published studies on frailty assessment using routine clinical data. Methods: An integrative literature review was conducted using the method of Whittemore and Knafl. A literature search was conducted in PubMed, EMBASE, and CINAHL from January 2010 to October 2021. Results: A total of 45 studies and thirteen frailty assessment tools were analyzed. The assessment items were generally biased toward frailty's risk factors rather than the mechanisms or phenotypes of frailty. Similar to using conventional tools, routine clinical data-based frailty was associated with adverse health outcomes. Conclusions: Frailty assessment based on routine clinical data could efficiently evaluate frailty using electronic health records from primary care centers or hospitals. However, they need refinement to consider the risk factors, mechanisms, and frailty phenotypes.
KW - Electronic health record
KW - Frailty
KW - Frailty assessment tools
KW - Health outcomes
KW - Integrative review
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U2 - 10.1016/j.archger.2021.104612
DO - 10.1016/j.archger.2021.104612
M3 - Review article
C2 - 34986459
AN - SCOPUS:85122023686
SN - 0167-4943
VL - 99
JO - Archives of Gerontology and Geriatrics
JF - Archives of Gerontology and Geriatrics
M1 - 104612
ER -