Rules to Identify Persons with Frailty in Administrative Health Databases

Robin Urquhart; Anik M.C. Giguere; Beverley Lawson; Cynthia Kendell; Jayna M. Holroyd-Leduc; Joseph H. Puyat; Arminee Kazanjian; Sharon Straus; Grace M. Johnston

doi:10.1017/S0714980817000393

Rules to Identify Persons with Frailty in Administrative Health Databases

Robin Urquhart, Anik M.C. Giguere, Beverley Lawson, Cynthia Kendell, Jayna M. Holroyd-Leduc, Joseph H. Puyat, Arminee Kazanjian, Sharon Straus, Grace M. Johnston

Medicine

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16 Citas (Scopus)

Resumen

This study sought to develop frailty "identification rules" using population-based health administrative data that can be readily applied across jurisdictions for living and deceased persons. Three frailty identification rules were developed based on accepted definitions of frailty, markers of service utilization, and expert consultation, and were limited to variables within two common population-based administrative health databases: hospital discharge abstracts and physician claims data. These rules were used to identify persons with frailty from both decedent and living populations across five Canadian provinces. Participants included persons who had died and were aged 66 years or older at the time of death (British Columbia, Alberta, Ontario, Quebec, and Nova Scotia) and living persons 65 years or older (British Columbia, Alberta, Ontario, and Quebec). Descriptive statistics were computed for persons identified using each rule. The proportion of persons identified as frail ranged from 58.2-78.1 per cent (decedents) and 5.1-14.7 per cent (living persons).

Idioma original	English
Páginas (desde-hasta)	514-521
Número de páginas	8
Publicación	Canadian Journal on Aging
Volumen	36
N.º	4
DOI	https://doi.org/10.1017/S0714980817000393
Estado	Published - dic. 1 2017

Nota bibliográfica

Funding Information:
Urquhart Robin 1 2 † Giguere Anik M.C. 3 4 Lawson Beverley 5 Kendell Cynthia 1 Holroyd-Leduc Jayna M. 6 Puyat Joseph H. 7 Kazanjian Arminee 7 Straus Sharon 8 9 Johnston Grace M. 10 1 Department of Surgery , Dalhousie University 2 Department of Community Health and Epidemiology , Dalhousie University 3 Office of Education and Continuing Professional Development , Department of Family and Emergency Medicine , Pavillon Ferdinand-Vandry , Laval University 4 Quebec Research Centre for Excellence in Aging , Research Centre of the CHU de Quebec , St. Sacrement Hospital 5 Department of Family Medicine , Dalhousie University 6 Departments of Medicine and Community Health Sciences , University of Calgary 7 School of Population and Public Health , University of British Columbia 8 Li Ka Shing Knowledge Institute , St. Michael’s Hospital 9 Department of Medicine , University of Toronto 10 School of Health Administration , Dalhousie University * We gratefully acknowledge Sharon Zhang, Jim Si, Refik Saskin, Alejandro Gonzalez, and Louis Rochette for carrying out the analyses in Alberta, Ontario, and Quebec, and Sonia Jean, Serge Dumont, André Tourigny, and René Verreault for their valuable input on this study. This work was supported by the Canadian Frailty Network of the Networks of Centres of Excellence. The funder had no role in the design, methods, data collection, analysis, or preparation of this article. † Correspondence and requests for reprints should be sent to / La correspondance et les demandes de tirés à part doivent être adressées à : Robin Urquhart, Ph.D. Room 8-032, Centennial Building QEII Health Sciences Centre 1276 South Park Street Halifax, NS B3H 2Y9 < robin.urquhart@nshealth.ca > 04 10 2017 12 2017 36 4 514 521 30 08 2016 26 05 2017 Copyright © Canadian Association on Gerontology 2017 2017 Canadian Association on Gerontology

Publisher Copyright:
© 2017 Canadian Association on Gerontology.

ASJC Scopus Subject Areas

Health(social science)
Gerontology
Community and Home Care
Geriatrics and Gerontology

PubMed: MeSH publication types

Journal Article

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title = "Rules to Identify Persons with Frailty in Administrative Health Databases",

abstract = "This study sought to develop frailty {"}identification rules{"} using population-based health administrative data that can be readily applied across jurisdictions for living and deceased persons. Three frailty identification rules were developed based on accepted definitions of frailty, markers of service utilization, and expert consultation, and were limited to variables within two common population-based administrative health databases: hospital discharge abstracts and physician claims data. These rules were used to identify persons with frailty from both decedent and living populations across five Canadian provinces. Participants included persons who had died and were aged 66 years or older at the time of death (British Columbia, Alberta, Ontario, Quebec, and Nova Scotia) and living persons 65 years or older (British Columbia, Alberta, Ontario, and Quebec). Descriptive statistics were computed for persons identified using each rule. The proportion of persons identified as frail ranged from 58.2-78.1 per cent (decedents) and 5.1-14.7 per cent (living persons).",

author = "Robin Urquhart and Giguere, {Anik M.C.} and Beverley Lawson and Cynthia Kendell and Holroyd-Leduc, {Jayna M.} and Puyat, {Joseph H.} and Arminee Kazanjian and Sharon Straus and Johnston, {Grace M.}",

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Rules to Identify Persons with Frailty in Administrative Health Databases

Resumen

Nota bibliográfica

ASJC Scopus Subject Areas

PubMed: MeSH publication types

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