ArticleHealthcare policy = Politiques de sante2020
Co-Locating Older Retirement Home Residents: Uncovering an Under-Researched Population via Postal Code.
Article in Healthcare policy = Politiques de sante, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Development of the Social Housing of Ontario (SHO) Registry by health region: a platform for health research with the social housing population.Frontiers in public health · 2026Article
- Chronic disease prevalence and preventive care among Ontario social housing residents compared with the general population: a population-based cohort study.Journal of epidemiology and community health · 2025Article
- Rates of health services use among residents of retirement homes in Ontario: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022Article
- Health Services Research and Government's Spending on Healthcare Programs: A Welcome Misalignment?Healthcare policy = Politiques de sante · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRetirement home residents represent a growing proportion of older Ontarians who cannot be identified within existing administrative databases.
objectiveThis article aims to develop an approach for determining, from an individual's postal code, their likelihood of residing in a retirement home.
methodsWe 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.
resultsWe 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).
conclusionIt 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.
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