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Record W4282967110 · doi:10.1093/ageing/afac126.023

965 INTEGRATED CARE HOME OWNERSHIP AND FINANCIAL VULNERABILITY

2022· article· en· W4282967110 on OpenAlexaff
Helena Dolphin, A Lynch, D McNally, J Keating, M. Doyle, M Domsa, P Kennelly

Bibliographic record

VenueAge and Ageing · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsCARE Canada
Fundersnot available
KeywordsMedicineAccommodationPolypharmacyCohortGerontologyDemographyFamily medicinePsychology

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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.

Opus teacher head0.017
GPT teacher head0.263
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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