Post‐stroke depression – effect on the life situation of the significant other
Bibliographic record
Abstract
The aim of this study was to describe the life situation among 'significant others' to patients with post-stroke depression, and to identify associations between the life situation of the significant others and patient characteristics. Seventy-one dyads consisting of patients with a diagnosed post-stroke depression and their significant others were included. The patients were assessed for depression with the Montgomery-Asberg Depression Rating Scale and diagnosed according to the DSM-IV. The assessments of significant others included their own life situation and proxy assessments of the patients' state of depression, anger, change of personality, and need of assistance. Significant others of male stroke patients reported a more negative impact on their life situation, than did significant others of female stroke patients (p = 0.04). There was a significant association between the patient's level of depression and physical function [activities of daily living (ADL)], with those with less impaired ADL having more major depression than those with more impaired ADL (p = 0.007). This study indicates that major post-stroke depression is more common among patients with limited functional deficits. This highlights the importance of assessment for depression also among seemingly recovered stroke patients in order to treat and support those in need. This study also stresses the importance of identifying different needs of the significant others in order to provide appropriate support in their caregiving role.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".