The Impact of a Naturally Occurring Retirement Community Supportive Services Program on Older Adult Participants’ Social Networks: Semistructured Interview Study
Bibliographic record
Abstract
BACKGROUND: Most older adults want to age in place, in their homes and communities. However, this can be challenging for many, frequently owing to lack of supports that allow for aging in place. Naturally occurring retirement community supportive services programs (NORC-SSPs) offer an approach to help older adults age in place. Although qualitative studies have examined the experiences of NORC-SSP participants, little is known about how participation in NORC-SSP programming affects participants' social networks. OBJECTIVE: This study aimed to explore the experiences of 13 NORC-SSP residents who participated in Oasis Senior Supportive Living (Oasis) and how participating in NORC-SSP programming, specifically based on the Oasis model, influenced their social networks. METHODS: Participants were recruited, using convenience sampling, from 4 naturally occurring retirement communities (NORCs) in Ontario, Canada. All participants (13/13, 100%) had participated in Oasis programming. Semistructured qualitative interviews were conducted with participants. Social network theory informed the interview guide and thematic analysis. RESULTS: In total, 13 participants (n=12, 92% women and n=1, 8% men) were interviewed. These participants were from 4 different NORCs where Oasis had been implemented, comprising 2 midrise apartment buildings, 1 low-rise apartment building, and 1 mobile home community. Overall, 3 main themes were identified from the interviews with Oasis participants: expansion and deepening of social networks, Oasis activities (something to do, someone to do it with), and self-reported impact of Oasis on mental health and well-being (feeling and coping with life better). Participants noted that Oasis provided them with opportunities to meet new people and broaden their social networks, both within and outside their NORCs. They also indicated that Oasis provided them with meaningful ways to spend their time, including opportunities to socialize and try new activities. Participants stated that participating in Oasis helped to alleviate loneliness and improved their quality of life. They noted that Oasis provided them with a reason to get up in the morning. However, the experiences described by participants may not be reflective of all Oasis members. Those who had positive experiences may have been more likely to agree to be interviewed. CONCLUSIONS: On the basis of the participants' interviews, Oasis is an effective aging-in-place model that has been successfully implemented in low-rise apartment buildings, midrise apartment buildings, and mobile home communities. Participating in Oasis allowed participants to expand their social networks and improve their mental health and well-being. Therefore, NORCs may offer an ideal opportunity to build strong communities that provide deep, meaningful social connections that expand social networks. NORC-SSPs, such as Oasis, can support healthy aging and allow older adults to age in place.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".