The global population including Canada’s is aging, which demands planning for housing that will support older adults’ quality of life. This mixed-method study is the first Canadian study to examine the impact of cohousing on older adults’ quality of life and involved 23 participants. The older adults rated their quality of life very high, especially in the environmental, physical, and psychological domains of the World Health Organization Quality of Life (WHOQOL_BREF) survey; quality of life in the social domain was rated low, which was surprising in light of the focus group data findings. Four themes of “belonging in a community”, “life in the community”, “changes associated with aging,” and “aging in place” emerged from the qualitative data to explain factors that influence older adults’ quality of life. This research provides foundational, strong evidence that seniors’ cohousing is an innovative housing solution that can support older adults’ quality of life.

Given the urgency of finding cost-effective and innovative solutions to providing community services for aging in place, novel solutions that take advantage of existing infrastructure are clearly needed. In this sequential mixed-method study, we chose to explore the role that nursing homes could play in offering services to a non-traditional target population, namely seniors with loss of independence living in the community. Forty-two (n = 42) nursing homes in the province of New Brunswick completed an online survey, and 10 agreed to participate in face-to-face interviews. Results show that 100 per cent of participants agreed that nursing homes could offer services to seniors in their communities for aging in place. Results suggest that nursing homes are cost-effective, innovative solutions for aging in place.

This article is based on a study that investigated factors associated with long-term care wait list placement in Ontario, Canada. We based the study’s analysis on Resident Assessment Instrument for Home Care (RAI-HC) data for 2014 in the North West Local Health Integration Network (LHIN). Our analysis quantified the contribution of three factors on the likelihood of wait list placement: (1) care recipient, (2) informal caregiver, and (3) formal system. We find that all three factors are significantly related to wait list placement. The results of this analysis could have implications for policies aimed at reducing the number of wait-listed individuals in the community.