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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".