scholarly journals Erratum to: The Pathfields Tool: a frailty case-finding tool using primary care IT—implications for population health management

2020 ◽  
Author(s):  
David Attwood ◽  
James Boorer ◽  
Wendy Ellis ◽  
Michelle Earley ◽  
Jillian Denovan ◽  
...  
Keyword(s):  
Primary Care ◽  
Population Health ◽  
Health Management ◽  
Case Finding ◽  
Population Health Management

Using Systems Science for Population Health Management in Primary Care

2014 ◽  
Vol 5 (4) ◽  
pp. 242-246 ◽  
Author(s):  
Yan Li ◽  
Nan Kong ◽  
Mark A. Lawley ◽  
José A. Pagán
Keyword(s):  
Primary Care ◽  
Population Health ◽  
Health Management ◽  
Systems Science ◽  
Population Health Management

scholarly journals The Pathfields Tool: a frailty case-finding tool using primary care IT—implications for population health management

2020 ◽  
Vol 49 (6) ◽  
pp. 1087-1092
Author(s):  
David Attwood ◽  
James Boorer ◽  
Wendy Ellis ◽  
Michelle Earley ◽  
Jillian Denovan ◽  
...  
Keyword(s):  
Primary Care ◽  
Older People ◽  
Population Health ◽  
Health Management ◽  
Diagnostic Yield ◽  
Frailty Index ◽  
Current Approach ◽  
Population Health Management ◽  
Targeted Interventions ◽  
Practice Population

Abstract Background older people living with frailty benefit from targeted interventions which improve health and independence. However, it has been challenging within primary care to systematically identify patients living with frailty. Study aims Methods primary care IT was re-programmed to create a ‘Pathfields High Risk Cohort’ (PHRC, patients felt likely to have undiagnosed frailty) and invite clinicians to opportunistically assess and diagnose frailty. Results were compared with NHS England’s current approach to frailty identification using Electronic Frailty Index (eFI) to see which approach had the highest diagnostic yield. Results the Pathfields Tool identified 1,348 patients in PHRC group, of whom 951 (70.5%) were clinically assessed and diagnosed: eFI (moderate and severe) identified 683 patients of whom 598 (87.6%) were clinically assessed and diagnosed: Extrapolated data would estimate frailty prevalence at 22.5% (1,024/4,552) (5.5% severe, 8.8% moderate, and 8.1% mild) in the practice population aged 65+. Conclusions the Pathfields Tool identified more patients with clinically confirmed previously undiagnosed frailty than eFI ‘moderate and severe frailty’ alone. Sub-segmenting frailty by residential status could significantly improve the population health management of older people.

Accountable Care: Building Systems for Population Health Management

2014 ◽  
Author(s):  
Sarah Klein Klein ◽  
Douglas McCarthy McCarthy ◽  
Alexander Cohen Cohen
Keyword(s):  
Population Health ◽  
Health Management ◽  
Accountable Care ◽  
Population Health Management ◽  
Building Systems

Using High-Tech and High-Touch Methods for Effective Population Health Management

Iproceedings ◽  
2016 ◽  
Vol 2 (1) ◽  
pp. e17
Author(s):  
Sashi Padarthy ◽  
Cristina Crespo ◽  
Keri Rich ◽  
Nagaraja Srivatsan
Keyword(s):  
Population Health ◽  
Health Management ◽  
High Tech ◽  
Effective Population ◽  
Population Health Management
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