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The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records

PURPOSE: Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the f...

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Autores principales: Lewis, Ebony T, Williamson, Margaret, Lewis, Lou P, Ní Chróinín, Danielle, Dent, Elsa, Ticehurst, Maree, Peters, Ruth, Macniven, Rona, Cardona, Magnolia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639370/
https://www.ncbi.nlm.nih.gov/pubmed/36353269
http://dx.doi.org/10.2147/CIA.S384691
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author Lewis, Ebony T
Williamson, Margaret
Lewis, Lou P
Ní Chróinín, Danielle
Dent, Elsa
Ticehurst, Maree
Peters, Ruth
Macniven, Rona
Cardona, Magnolia
author_facet Lewis, Ebony T
Williamson, Margaret
Lewis, Lou P
Ní Chróinín, Danielle
Dent, Elsa
Ticehurst, Maree
Peters, Ruth
Macniven, Rona
Cardona, Magnolia
author_sort Lewis, Ebony T
collection PubMed
description PURPOSE: Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness. PARTICIPANTS AND METHODS: This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined. RESULTS: In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness. CONCLUSION: Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location.
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spelling pubmed-96393702022-11-08 The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records Lewis, Ebony T Williamson, Margaret Lewis, Lou P Ní Chróinín, Danielle Dent, Elsa Ticehurst, Maree Peters, Ruth Macniven, Rona Cardona, Magnolia Clin Interv Aging Original Research PURPOSE: Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness. PARTICIPANTS AND METHODS: This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined. RESULTS: In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness. CONCLUSION: Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location. Dove 2022-11-03 /pmc/articles/PMC9639370/ /pubmed/36353269 http://dx.doi.org/10.2147/CIA.S384691 Text en © 2022 Lewis et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Lewis, Ebony T
Williamson, Margaret
Lewis, Lou P
Ní Chróinín, Danielle
Dent, Elsa
Ticehurst, Maree
Peters, Ruth
Macniven, Rona
Cardona, Magnolia
The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title_full The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title_fullStr The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title_full_unstemmed The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title_short The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
title_sort feasibility of deriving the electronic frailty index from australian general practice records
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639370/
https://www.ncbi.nlm.nih.gov/pubmed/36353269
http://dx.doi.org/10.2147/CIA.S384691
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