“We could be good partners if we work together”: the perspectives of health and social service providers on the barriers to forming collaborative partnerships with social housing providers for older adults
Bibliographic record
Abstract
BACKGROUND: Many older adults are aging-at-home in social housing. However, the lack of integration between housing and health services makes it difficult for older tenants to access needed supports. We examined barriers and facilitators health and social service providers face providing on-site services to older tenants. METHODS: We conducted semi-structured qualitative interviews and focus groups with health and social service professionals (n = 58) in Toronto, Canada who provide community programs in support of older tenants who live in non-profit, rent-geared-to-income social housing. Interviews examined the barriers they faced in providing on-site services to older tenants. FINDINGS: Service providers strongly believed that collaboration with on-site housing staff led to better health and housing outcomes for older tenants. Despite the recognized benefits of partnering with housing staff, service providers felt that their ability to work effectively in the building was dependent on the staff (particularly the superintendent) assigned to that building. They also identified other barriers that made it difficult to work collaboratively with the housing provider, including staffing challenges such as high staff turnover and confusion about staff roles, a lack of understanding among housing staff about the link between housing and health, challenges sharing confidential information across sectors, and complex and inefficient partnership processes. CONCLUSION: Older adult tenants are increasingly vulnerable and in need of supports but the housing provider has a long history of ineffective partnerships with service providers driven by complex and inefficient staffing models, and an organizational culture that questions the role of and need for partnerships. Findings highlight the need for more effective integration of housing and health services. Simplified processes for establishing partnerships with service agencies and more opportunities for communication and collaboration with housing staff would ensure that services are reaching the most vulnerable tenants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.019 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".