A longitudinal study of burden among spouse and non-spouse caregivers of older adults with stroke-induced-dependency
Bibliographic record
Abstract
OBJECTIVE: to assess the burden of spouse and non-spouse caregivers of older adults with stroke-induced-dependency after discharge from a university hospital's Specialized Care Stroke Unit in southern Brazil. METHODS: a longitudinal survey. The sample consisted of 48 consenting caregivers, among which 20 were spouse caregivers. Data were collected between May 2016 and July 2018. One week after discharge, caregivers completed a sociodemographic profile, the Functional Independence Measure, and the Caregiver Burden Scale. Burden was also measured two months after discharge. Data were analyzed using Multivariate Analyses of Variance. RESULTS: regarding time 1, non-spouse caregivers experienced greater burden with respect to social isolation (p = .01). Along with a persistently greater sense of isolation (p=.04), non-spouse caregivers felt far greater general strain (p =.01). CONCLUSION: statistically significant differences in burden over time highlight the importance of assessing caregiver burden after discharge and the need for a formal support program.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".