The Relationship Between Care Preparedness and Altruism Levels in Caregivers of Stroke Patients
Bibliographic record
Abstract
ABSTRACT: BACKGROUND: Stroke care partners and caregivers experience emotional and physical burden, and 80% of stroke patients need support after discharge. This study examines the relationship between caregiver preparedness and altruism levels of stroke patients. METHODS: The population of this descriptive and correlational study consisted of the caregivers of stroke patients who were hospitalized at the stroke center of a hospital between January 2021 and August 2021. The sample was determined as 240 with the known sampling formula. The descriptive information form, the Preparedness for Caregiving Scale, and the Altruism Scale were used to collect the study data. RESULTS: The total mean score of the caregivers' preparedness to provide care was found to be 25.04 (7.36), and the mean total altruism score was 85.78 (9.20). The mean score of Donation, which is one of the subdimensions of the Altruism Scale, was 26.67 (4.08), and that of Helping Status was 59.10 (6.92). No statistically significant relationships were detected between caregivers' preparedness to provide care scores, Helping Status scores, Donation scores, and total altruism scores in this study ( P = .241, P = .245, and P = .129, respectively). CONCLUSION: No statistically significant relationships were detected between the preparedness and altruism levels of the caregivers of the stroke patients in this study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".