Measuring daily functioning in older persons using a frailty index: a cohort study based on routine primary care data

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2020Source
British Journal of General Practice, 70, 701, (2020), pp. e866-e873ISSN
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Article / Letter to editor

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Organization
Medical Psychology
Journal title
British Journal of General Practice
Volume
vol. 70
Issue
iss. 701
Page start
p. e866
Page end
p. e873
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Radboudumc 5: Inflammatory diseases RIHS: Radboud Institute for Health SciencesAbstract
BACKGROUND: Electronic health records (EHRs) are increasingly used for research; however, multicomponent outcome measures such as daily functioning cannot yet be readily extracted. AIM: To evaluate whether an electronic frailty index based on routine primary care data can be used as a measure for daily functioning in research with community-dwelling older persons (aged ≥75 years). DESIGN AND SETTING: Cohort study among participants of the Integrated Systemic Care for Older People (ISCOPE) trial (11 476 eligible; 7285 in observational cohort; 3141 in trial; over-representation of frail people). METHOD: At baseline (T0) and after 12 months (T12), daily functioning was measured with the Groningen Activities Restriction Scale (GARS, range 18-72). Electronic frailty index scores (range 0-1) at T0 and T12 were computed from the EHRs. The electronic frailty index (electronic Frailty Index - Utrecht) was tested for responsiveness and compared with the GARS as a gold standard for daily functioning. RESULTS: In total, 1390 participants with complete EHR and follow-up data were selected (31.4% male; median age = 81 years, interquartile range = 78-85). The electronic frailty index increased with age, was higher for females, and lower for participants living with a partner. It was responsive after an acute major medical event; however, the correlation between the electronic frailty index and GARS at T0 and over time was limited. CONCLUSION: Because the electronic frailty index does not reflect daily functioning, further research on new methods to measure daily functioning with routine care data (for example, other proxies) is needed before EHRs can be a useful data source for research with older persons.
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