Co-Locating Older Retirement Home Residents: Uncovering an Under-Researched Population via Postal Code.
Journal
Healthcare policy = Politiques de sante
ISSN: 1715-6580
Titre abrégé: Healthc Policy
Pays: Canada
ID NLM: 101280107
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
entrez:
18
12
2020
pubmed:
19
12
2020
medline:
12
10
2021
Statut:
ppublish
Résumé
Retirement home residents represent a growing proportion of older Ontarians who cannot be identified within existing administrative databases. This article aims to develop an approach for determining, from an individual's postal code, their likelihood of residing in a retirement home. We identified 748 licensed retirement homes in Ontario as of June 1, 2018, from a public registry. We developed a two-step evaluation and verification process to determine the probability (certain, likely or unlikely) of identifying a retirement home, as opposed to other dwellings, within a postal code. We identified 274 (36.7%) retirement homes within a postal code certain to indicate that a person was residing in a retirement home, 200 (26.7%) for which it was likely and 274 (36.7%) for which it was unlikely. Postal codes that were certain and likely identified retirement homes with a capacity for 59,920 residents (79.9% of total provincial retirement home capacity). It is feasible to identify a substantive cohort of retirement home residents using postal code data in settings where street address is unavailable for linkage to administrative databases.
Sections du résumé
BACKGROUND
Retirement home residents represent a growing proportion of older Ontarians who cannot be identified within existing administrative databases.
OBJECTIVE
This article aims to develop an approach for determining, from an individual's postal code, their likelihood of residing in a retirement home.
METHODS
We identified 748 licensed retirement homes in Ontario as of June 1, 2018, from a public registry. We developed a two-step evaluation and verification process to determine the probability (certain, likely or unlikely) of identifying a retirement home, as opposed to other dwellings, within a postal code.
RESULTS
We identified 274 (36.7%) retirement homes within a postal code certain to indicate that a person was residing in a retirement home, 200 (26.7%) for which it was likely and 274 (36.7%) for which it was unlikely. Postal codes that were certain and likely identified retirement homes with a capacity for 59,920 residents (79.9% of total provincial retirement home capacity).
CONCLUSION
It is feasible to identify a substantive cohort of retirement home residents using postal code data in settings where street address is unavailable for linkage to administrative databases.
Identifiants
pubmed: 33337315
pii: hcpol.2020.26352
doi: 10.12927/hcpol.2020.26352
pmc: PMC7710956
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
69-81Informations de copyright
Copyright © 2020 Longwoods Publishing.
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