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Use of the electronic Frailty Index in primary healthcare: a pilot study

Use of the electronic Frailty Index in primary healthcare: a pilot study
Use of the electronic Frailty Index in primary healthcare: a pilot study
Background Identifying frailty is key to providing appropriate treatment for older people at high risk of adverse health outcomes. Screening tools proposed for primary healthcare often involve additional workload. The electronic Frailty Index (eFI) has the potential to overcome this issue.

Aim To assess the feasibility and acceptability of using eFI in primary healthcare.
Design and Setting Pilot study in one primary healthcare practice in England in 2016.

Methods Use of the electronic Frailty Index (eFI) on the primary care TPP SystmOne database was explained to staff at the practice where a Comprehensive Geriatric Assessment (CGA) Clinic was being trialled. The practice data manager ran an eFI report for all patients (N=6,670). Date of birth was used to identify patients aged ≥75 years (n=589). The eFI was determined for patients attending the CGA Clinic (n=18).

Results Practice staff ran the eFI reports in 5 minutes, which they reported was feasible and acceptable. The eFI range was 0.03 – 0.61 (mean 0.23) for all patients aged ≥75 years (mean 83 years; range 75 – 102 years). For CGA patients (mean 82 years; range75 – 91 years) the eFI range was 0.19 – 0.53 (mean 0.33).

Conclusions It was feasible and acceptable to use the eFI in this pilot study. The higher mean eFI in the CGA patients demonstrated construct validity for frailty identification. Practice staff recognised the potential for the eFI to identify the top 2% of vulnerable patients for Avoiding Unplanned Admissions.

0960-1643
Lansbury, Lynn
81ceb2c9-cdf6-4abc-b396-ca762f04e41f
Roberts, Helen
5ea688b1-ef7a-4173-9da0-26290e18f253
Clift, Esther
aece535f-063b-45f9-a1b3-a9b36c82fa1c
Herklots, Annie
370d21ce-4ca3-4232-8096-f8995e9a401c
Robinson, Nicola
2153253d-f40c-46ba-a96a-8dc1aa952d4c
Sayer, Avan A.
fb4c2053-6d51-4fc1-9489-c3cb431b0ffb
Lansbury, Lynn
81ceb2c9-cdf6-4abc-b396-ca762f04e41f
Roberts, Helen
5ea688b1-ef7a-4173-9da0-26290e18f253
Clift, Esther
aece535f-063b-45f9-a1b3-a9b36c82fa1c
Herklots, Annie
370d21ce-4ca3-4232-8096-f8995e9a401c
Robinson, Nicola
2153253d-f40c-46ba-a96a-8dc1aa952d4c
Sayer, Avan A.
fb4c2053-6d51-4fc1-9489-c3cb431b0ffb

Lansbury, Lynn, Roberts, Helen, Clift, Esther, Herklots, Annie, Robinson, Nicola and Sayer, Avan A. (2017) Use of the electronic Frailty Index in primary healthcare: a pilot study. British Journal of General Practice. (doi:10.3399/bjgp17X693089).

Record type: Article

Abstract

Background Identifying frailty is key to providing appropriate treatment for older people at high risk of adverse health outcomes. Screening tools proposed for primary healthcare often involve additional workload. The electronic Frailty Index (eFI) has the potential to overcome this issue.

Aim To assess the feasibility and acceptability of using eFI in primary healthcare.
Design and Setting Pilot study in one primary healthcare practice in England in 2016.

Methods Use of the electronic Frailty Index (eFI) on the primary care TPP SystmOne database was explained to staff at the practice where a Comprehensive Geriatric Assessment (CGA) Clinic was being trialled. The practice data manager ran an eFI report for all patients (N=6,670). Date of birth was used to identify patients aged ≥75 years (n=589). The eFI was determined for patients attending the CGA Clinic (n=18).

Results Practice staff ran the eFI reports in 5 minutes, which they reported was feasible and acceptable. The eFI range was 0.03 – 0.61 (mean 0.23) for all patients aged ≥75 years (mean 83 years; range 75 – 102 years). For CGA patients (mean 82 years; range75 – 91 years) the eFI range was 0.19 – 0.53 (mean 0.33).

Conclusions It was feasible and acceptable to use the eFI in this pilot study. The higher mean eFI in the CGA patients demonstrated construct validity for frailty identification. Practice staff recognised the potential for the eFI to identify the top 2% of vulnerable patients for Avoiding Unplanned Admissions.

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More information

Accepted/In Press date: 14 March 2017
e-pub ahead of print date: 26 October 2017
Organisations: Faculty of Medicine, Centre for Innovation & Leadership, Human Development & Health

Identifiers

Local EPrints ID: 410375
URI: http://eprints.soton.ac.uk/id/eprint/410375
ISSN: 0960-1643
PURE UUID: ae3165f2-3498-4937-808f-432d1522b736
ORCID for Helen Roberts: ORCID iD orcid.org/0000-0002-5291-1880

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Date deposited: 07 Jun 2017 16:31
Last modified: 07 Oct 2020 04:09

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Contributors

Author: Lynn Lansbury
Author: Helen Roberts ORCID iD
Author: Esther Clift
Author: Annie Herklots
Author: Nicola Robinson
Author: Avan A. Sayer

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