Last Year of Life, Frailty, and Out-of-Pocket Expenses in Older Adults: A Secondary Analysis of the Mexican Health and Aging Study
Bibliographic record
Abstract
OBJECTIVE: To determine the association of frailty with out-of-pocket expenses (OOPEs) during the last year of life of Mexican older adults. METHODS: Cross-sectional secondary analysis of the Mexican Health and Aging Study (MHAS), a representative population-based cohort study. Health care expenses were estimated, and a probit model was used to estimate the probability that older adults had OOPE. A general linear model was applied to explain OOPE magnitudes. RESULTS: A total of 55.8% of individuals reported having OOPE with a mean of 3,261 USD. Average OOPE for hospitalization during the last year of life was 7,011.9 USD. Older adults taking their own medical decisions during the last year of life expended less than those who did not. CONCLUSION: No affiliation to health services, frailty, and health decision-making by others increased the probability of OOPE. The magnitude is determined by age, hospitalization, medical visits, affiliation, frailty, and health decision-making by others.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".