Medical Student, Women's College Research Institute, Women's College Hospital, Toronto, ON; Faculty of Medicine, University of British Columbia, Vancouver, BC.
MSc Candidate, Women's College Research Institute, Women's College Hospital, Toronto, ON; Nuffield Department of Population Health, University of Oxford, London, UK.
Healthc Policy. 2020 Nov;16(2):69-81. doi: 10.12927/hcpol.2020.26352.
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.
退休之家居民代表了越来越多的安大略省老年人，他们无法在现有的行政数据库中被识别。
本文旨在开发一种方法，通过一个人的邮政编码来确定他们居住在退休之家的可能性。
截至 2018 年 6 月 1 日，我们从公共登记处确定了安大略省 748 家有执照的退休之家。我们开发了一个两步评估和验证过程，以确定邮政编码内识别退休之家（而不是其他住所）的可能性（确定、可能或不太可能）。
我们在一个邮政编码中确定了 274 个（36.7%）肯定表示一个人住在退休之家的退休之家，200 个（26.7%）可能表示一个人住在退休之家，274 个（36.7%）不太可能表示一个人住在退休之家。确定和可能的邮政编码确定了有能力容纳 59920 名居民的退休之家（占全省退休之家总容量的 79.9%）。
在无法将街道地址链接到行政数据库的情况下，使用邮政编码数据识别大量退休之家居民是可行的。
