Evidence map›Paper›PMID 28947622›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2017

Use of the electronic Frailty Index to identify vulnerable patients: a pilot study in primary care.

Lynn N Lansbury, Helen Clare Roberts, Esther Clift, Annie Herklots, Nicola Robinson, Avan A Sayer

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lynn N LansburyAcademic Geriatric Medicine, National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) Wessex, University of Southampton, Southampton.
Helen Clare RobertsAcademic Geriatric Medicine, National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) Wessex, University of Southampton, and University Hospital Southampton NHS Foundation Trust, Southampton.
Esther CliftHealth Education England (Wessex), Faculty of Health Sciences, University of Southampton, Southampton.
Annie HerklotsStoneham Lane Surgery, Southampton.
Nicola RobinsonStoneham Lane Surgery, Southampton.
Avan A SayerNational Institute for Health Research (NIHR) Newcastle Biomedical Research Centre, and professor of geriatric medicine, Academic Geriatric Medicine, NIHR Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) Wessex, University of Southampton, Southampton, Ageing, Geriatrics and Epidemiology, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, and National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre in Ageing and Chronic Disease, Newcastle upon Tyne NHS Foundation Trust and Newcastle University, Newcastle upon Tyne.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

aimTo assess the feasibility and acceptability of using the eFI in primary care. DESIGN AND

settingPilot study in one suburban primary care practice in southern England in 2016.

methodUse of the 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 (

resultsPractice staff ran the eFI reports in 5 minutes, which they reported was feasible and acceptable. The eFI range was 0.03 to 0.61 (mean 0.23) for all patients aged ≥75 years (mean 83 years, range 75 to 102 years). For CGA patients (mean 82 years, range 75 to 94 years) the eFI range was 0.19 to 0.53 (mean 0.33). Importantly, the eFI scores identified almost 12% of patients aged ≥75 years in this practice to have severe frailty.

conclusionIt was feasible and acceptable to use the eFI in this pilot study. A 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.

Indexed as

AgedAged, 80 and overDatabases, FactualEnglandFeasibility StudiesFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansMaleMass ScreeningPilot ProjectsPrimary Health CareReproducibility of ResultseFIelectronic Frailty Indexfrail older adultsfrailtygeneral practiceolder peopleprimary health care

Identifiers

PMID28947622
PMCPMC5647918

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.