Gothenburg very early supported discharge study (GOTVED) NCT01622205: a block randomized trial with superiority design of very early supported discharge for patients with stroke
Bibliographic record
Abstract
BACKGROUND: Stroke is the disease with the highest costs for hospital care and also after discharge. Early supported discharge (ESD) has shown to be efficient and safe and the best results with well-organised discharge teams and patients with less severe strokes. The aim is to investigate if very early supported discharge (VESD) for stroke patients in need for on-going individualised rehabilitation at home is useful for the patient and cost effective. METHODS/DESIGN: A randomized controlled trial comparing VESD with ordinary discharge. INCLUSION CRITERIA: confirmed stroke, >18 years of age, living within 30 min from the stroke unit, on day 2 0-16 points on the National institute of health stroke scale (NIHSS) and 50-100 points on the Barthel Index (BI), with BI 100 then the patient can be included if the Montreal Cognitive Assessment is < 26. Exclusion criteria are: NIHSS >16, BI < 50, life expectancy < 1 year, inability to speak or to communicate in Swedish. The inclusion occurs on day 4 and in block randomization of 20 and with blinded assessor. PRIMARY OUTCOME: levels of anxiety and depression. SECONDARY OUTCOMES: independence, security, level of function, quality of health, needs of support in activities of daily living and caregiver burden. Power calculation is based on the level of anxiety and with a power of 80%, p-value 0.05 (2 sided test) 44 persons per group are needed. Data is gathered on co-morbidity, re-entry to hospital, mortality and a health economic analysis. Interviews will be accomplished with a strategic sample of 15 patients in the intervention group before discharge, within two weeks after homecoming and 3 months later. Interviews are also planned with 15 relatives in the intervention group 3 months after discharge. DISCUSSION: The ESD studies in the Cochrane review present hospital stays of a length that no longer exist in Sweden. There is not yet, to our knowledge, any study of early supported discharge with present length of hospital stay. Thus it is not clear if home rehabilitation nowadays without risks, is cost effective, or with the same patient usefulness as earlier studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT01622205.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".