The Influence of Psychosocial Factors on Hospital Length of Stay Among Aging Canadians
Bibliographic record
Abstract
Background: Hospital stays that are prolonged due to non-clinical factors are costly to health care systems and are likely suboptimal for patient well-being. We assessed the influence of psychosocial factors on hospital length of stay (LOS) for older Canadians in a retrospective cohort study. Data and Methods: Data from the Canadian Community Health Survey were linked with the Discharge Abstract Database. Analyses were stratified by age, 55–64 ( n = 1,060) and 65 and older ( n = 2,718). Main predictor variables of interest included four measures of social support, sense of belonging, and living alone. Multivariate models of LOS adjusted for age, sex, income, smoking, and frailty. Results: Among the younger respondents, low positive social interactions, low emotional/informational support, and living alone were associated with a longer LOS. Among respondents 65 and older, low affection, low positive social interactions, low emotional/informational support, and a weak sense of belonging were associated with a longer LOS. Discussion: Having low social support is associated with longer hospital stays in this Canadian cohort. Social support may influence LOS as risk factors for poor health and precarious care in the community. Mitigating these risk factors could reduce the economic burden that is played out through longer hospital stays.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".