965 INTEGRATED CARE HOME OWNERSHIP AND FINANCIAL VULNERABILITY
Bibliographic record
Abstract
Abstract Introduction Lack of home ownership is associated higher rates of mental and physical ill-health and death1. According to longitudinal data in Ireland, 92% of persons aged 75 and over own their homes outright with approximately 8% living in rented accommodation2. We sought to compare characteristics of a cohort of patients open to our Integrated Care for Older Persons (ICOP) team with this national Irish dataset. Method A convenience sample of 50 patients reviewed by the ICOP team in a University Teaching Hospital was analysed. Data was anonymised and stored via encrypted key. Analysis was performed using SPSS v.27. Results The average age was 82.5 (±8.1) with 70% women in the sample. There was a lower prevalence of home ownership in this group of patients than the national norm (66% vs 92%) ie 34% were living in rental accommodation, majority Local Authorities. Those living in Local Authority accommodation had lower overall time spent in full time education than those who owned their own home (9.3 ± 3.1 vs 11.5 ± 3.3 p = 0.013), they were more likely to require external assistance with finances (54.5% v 88.2% p = 0.026) and less likely to have a Will (63.6% vs 35.2% p = NS) or EPOA (33.3% vs 23.5% p = 0.053) established. There was no significant difference in age, CFS, MMSE, Waterlow or polypharmacy rates between these groups. Discussion This report highlights a divergence between community dwelling older adults referred to ICOP teams and national standard data. Targeted social work interventions should be operationalised to assist financially vulnerable older adults. 1: Marmot M, Geddes I, Bloomer E, Allen J, Goldblatt P. The health impacts of cold homes and fuel poverty. London: Friends of the Earth. 2011. 2: Orr, J, Scarlett S, Donoghue, O, McGarrigle, C. Housing conditions of Ireland’s older population. Implications for physical and mental health, 2016. Available from https://tilda.tcd.ie/publications/reports/pdf/Report_HousingConditions.pdf
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".