The status of readiness for hospital discharge of patients with post-stroke cognitive impairment and its relationship with post-discharge social isolation
Bibliographic record
Abstract
BACKGROUND: The current status of readiness for hospital discharge (RHD) in patients with post-stroke cognitive impairment (PSCI) is not clear. This study aimed to investigate the current status of RHD in patients with PSCI, identify potential influencing factors, and explore the relationship between RHD and social isolation after discharge. METHODS: This was an observational study reported according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. We selected patients with post-stroke cognitive impairment from the Department of Neurology at a tertiary hospital in Zhejiang Province, China, from August to December 2023. Data were collected via a general information questionnaire, the Montreal Cognitive Assessment, the Readiness for Hospital Discharge Scale, and the Lubben Social Network Scale. RESULTS: We surveyed a total of 170 patients, and collected complete data from 155 patients. The total Readiness for Hospital Discharge Scale score ranged from 67 to 111 (mean ± SD: 87.46 ± 9.64), with 58 (37.4%) patients identified as underprepared. Multivariate linear regression analysis of the significant variables identified via univariate analysis revealed that annual household income, residence, and Montreal Cognitive Assessment scores significantly affected RHD. Correlation analysis revealed that National Institutes of Health Stroke Scale scores were significantly negatively correlated with Lubben Social Network Scale scores, whereas Montreal Cognitive Assessment scores were positively correlated. There was also a significant positive correlation between RHD and social isolation. CONCLUSION: Readiness for hospital discharge among patients with post-stroke cognitive impairment is at a medium level. Patients with higher annual household income, urban residence, and lower Montreal Cognitive Assessment scores had greater readiness for discharge. There is a significant correlation between readiness for discharge and social isolation after discharge. Improving patients' readiness for hospital discharge may help reduce social isolation.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".