Seniors’ campus continuums: local solutions for broad spectrum seniors care
Bibliographic record
Abstract
BACKGROUND: As demand and desire to "age-in-place" grows within an aging population, and new areas of need emerge, governments nationally and internationally are focusing effort and attention on innovative and integrative approaches to health and well-being. Seniors' Campus Continuums are models of care that seek to broaden access to an array of services and housing options to meet growing health and social needs of aging populations. The objective of this study is to increase understanding of this model and factors that influence their evolution, development, ongoing functioning and capacity to integrate care for older adults wishing to age in their own home and community. METHODS: This research uses a comparative case study approach across six-bounded cases offering four geographically co-located components (mixed housing options, internal and external community supports, and a long-term care home) in various contexts across Ontario, Canada. Onsite in-person and phone interviews with senior campus staff (N = 30), and campus partners (N = 11), enhanced by direct observation at campuses explored historical and current efforts to offer health, housing and social care continuums for older adults. RESULTS: Analysis highlighted eight key factors. Enabling factors include i. rich historical legacies of helping people in need; ii. organizational vision and readiness to capitalize on windows of opportunity; iii. leveraging organizational structure and capacity; iv. intentional physical and social design; v. broad services mix, amenities and innovative partnerships. Impeding factors include vi. policy hurdles and rigidities; vii. human resources shortages and inequities; and viii. funding limitations. A number of benefits afforded by campuses at different levels were also observed. CONCLUSION: Findings from this research highlight opportunities to optimize campus potential on many levels. At an individual level, campuses increase local access to a coordinated range of health and social care services, supports and housing options. At an organizational level, campuses offer enhanced collaboration opportunities across providers and partners to improve consistency and coordination of care, and improved access to shared resources, expertise and infrastructure. At a system level, campuses can address a diversity of health, social, financial, and housing needs to help seniors avoid premature or inappropriate use of higher intensity care settings.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".