www.clahrc-yh.nihr.ac.uk electronic frailty index (efi) john young geriatrician, bradford, uk...
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Electronic Frailty Index (eFI)
John Young
Geriatrician, Bradford, UK
National Clinical Director for Integration & Frail Elderly, NHS England
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Mrs Greenaway was found on the floor (“FLOF”) with new confusion by the home care staff and taken to hospital where is was found to be poorly mobile.
Fall Delirium Immobility
“She was a fall waiting to happen.”
Home care staff
Frailty is ………………
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The “new” narrative:Frailty as a long-term condition ?
A LTC is: “A condition that cannot, at present, be cured but is controlled by medication and/or other treatment/therapies” (DH 2012)
Frailty is:• Common (25-50% of people over 80 years)• Progressive (5 to 15 years)• Episodic deteriorations (delirium; falls; immobility)• Preventable components• Potential to impact on quality of life• Expensive
(Harrison, Young, Clegg, Conroy Age & Ageing 2015)
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Increasing frailty
Fit Mild frailty Moderate frailty Severe frailty
Frailty as a trajectory
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Diagnostic Test Accuracy (DTA) for simple frailty instruments (Systematic Review)
Sensitivity Specificity
Gait Speed <0.8m/s 99% 64%
Gait Speed <0.7m/s 93% 78%
TUGT >10s 93% 62%
PRISMA 7 83% 83% (wide CIs)
Self-reported Health 83% 72% (wide CIs)
Groningen Frailty Indicator 58% 72%
Polypharmacy (>5 meds) 67% 72%
GP clinical assessment 58% 72%
(Frailty instruments assessed against a reference standard)
(Clegg, Teale, Young. Age Ageing 2014)
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Phenotype Frailty Model(Cardiovascular Health Study [n=5210] Fried et al 2001)
Weight loss: > 4.5kg or > 5% per year
Fatigue: US Centre for Epidemiological Studies Depression Scale
Sedentary Life: < 383 Kcal/week men< 270Kcal/week women
Slow gait speed: Standardised cut-off times to walk 4.57m stratified by sex & height
Weakness: Dynamometer measurement stratified by sex & BMI
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Cumulative Deficit Model of Frailty: Frailty Index (Rockwood et al)
“The more things that are wrong with you, the more likely you are to be frail”
• Frailty Index counts “deficits”• A deficit is a thing that is wrong with you (symptom, sign,
disease or disability)
Frailty Index = the proportion of deficits accumulated over timeSimple calculation:• Zero deficits from list of 50: FI = 0/50 = 0• Ten deficits from list of 50: FI = 10/50 = 0.20• Frailty Index(s) based on deficit accumulation closely related to
risk of death (Mexico, China, Canada, Europe etc. …)
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Development of the primary care eFI
Existing primary care EHR (“SystmOne”)
Read Codes (>80,000 8,000 2,200)
Read codes map onto 36 ‘DEFICITS’
Tested in “ResearchOne” (n=227,648 ≥65y)
Internal Validation Process (n=227,063 ≥ 65y)
External Validation Process (n=516,107 ≥ 65 y)
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OutcomeMild frailty
(HR, 95% CI)Moderate frailty
(HR, 95% CI)Severe frailty(HR, 95% CI)
1 yr care home admission
2.00 (1.68 to 2.39) 2.70 (2.41 to 3.04) 5.94 (4.61 to 7.64)
3 yr care home admission
1.52 (1.37 to 1.69) 2.70 (2.41 to 3.04) 3.42 (2.84 to 4.12)
5 yr care home admission
1.56 (1.43 to 1.70) 2.34 (2.10 to 2.61) 3.00 (2.42 to 3.70)
1 yr hospitalisation 1.85 (1.81 to 1.88) 2.96 (2.90 to 3.02) 4.62 (4.50 to 4.74)
3 yr hospitalisation 1.71 (1.69 to 1.73) 2.54 (2.51 to 2.58) 3.64 (3.57 to 3.70)
5 yr hospitalisation 1.63 (1.61 to 1.64) 2.43 (2.40 to 2.46) 3.59 (3.54 to 3.65)
1 yr mortality 1.91 (1.78 to 2.04) 3.39 (3.15 to 3.65) 5.23 (4.73 to 5.79)
3 yr mortality 1.74 (1.68 to 1.81) 3.02 (2.90 to 3.14) 4.56 (4.29 to 4.84)
5 yr mortality 1.66 (1.62 to 1.71) 2.73 (2.64 to 2.81) 3.88 (3.68 to 4.09)
eFI outcomes
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Proportion alive
Time
Primary care electronic Frailty Index (eFI): survival plots (n=227,648; >65y)
Fit
Mild frailty
Moderate frailty
Severe frailty
5 yrs
Supported self-management
Care & Support Planning
Comprehensive Geriatric Assessment
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FIT32%
MILD41%
MOD20%
SEV7%
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Frailty & Social Deprivation
eFI score
Social Deprivation (IMD rank group)
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Partners Engagement Count
GP Practices 22
CCGs (n=211) 35
CSU 1
SCN 1
CLAHRC 1
Public Health (regional)
3
Industry Partners 2 (ACG Systems)
VCS 1 (Age UK Y&H)
National Spread of eFI (Year 1)Clinical Commissioning Group
(Pop approx. 250,000)
• “at risk” populations• De-prescribing• EoLC/ACPs• Supported-self management
etc, etc………..
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Summary:
• The eFI relates to the cumulative deficit model of frailty and uses existing primary care data (Read codes) to identifies people with mild, moderate and severe frailty
• Currently implemented in SystmOne (30% GPs) as a practice level report
• eFI has potential to inform development of proactive care for older people across the frailty spectrum
• Good early take up by CCGs in England
• May enable better targeting of interventions to reduce health inequalities in older age
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Acknowledgements: This presentation presents independent research by the Collaboration for Leadership in Applied Health Research and Care Yorkshire and Humber (NIHR CLAHRC YH). The views and opinions expressed are those of the authors, and not necessarily those of the NHS, the NIHR or the Department of Health. CLAHRC YH would also like to acknowledge the participation and resources of our partner organisations. www.clahrc-yh.nihr.ac.uk
Thank you.
University of Leeds
Andrew Clegg
John Young
Tizzy Teale
TPP
Chris Bates
John Parry
Ankit Sharma
University of Bradford
M A Mohammed
University of Birmingham
Ronan Ryan
Linda Nichols
Tom Marshall