Relationships between biophysical and psychosocial outcomes following minor stroke.
Bibliographic record
Abstract
This descriptive correlational study examined relationships between mild stroke functional and psychosocial outcomes over the early post-discharge period among dyads of mild stroke patients (n=38) and their spousal caregivers (n=38). We measured patients' functional scores using the modified Rankin Scale; patients' and caregivers' quality of life (QoL) using Stroke Impact Scale and Short-Form 36 respectively, mood using the Beck Depression Inventory-II, and marital function scores using the Family Assessment Device. Spousal caregivers also completed the Bakas Caregiving Outcomes Scale as a measure of caregiver strain. The average age of stroke patients was 64 years and of spousal caregivers 58 years. All stroke patients were male; all spousal caregivers female. At three months post discharge, patient functional status scores had significantly improved from discharge (p=0.026) with a corresponding increase in QoL scores (p=0.012). Functional status was significantly correlated with patient perceptions of QoL at three months (r=.014, p=0.024) and spousal caregiver perceptions of physical domain QoL (r=.-.397, p=0.014). Spousal caregivers' mood at three months post discharge was strongly correlated with their perceptions of marital satisfaction (r=.578, p=0.000) and caregiver strain (r=-.620, p=0.000). In preparing patients for discharge following mild stroke, nurses must consider the psychological and social implications of the recovery process over time for both the patient with stroke and their spousal caregivers.
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 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 | 0.005 |
| 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) | 0.001 | 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".