Cognitive Impairment and Length of Stay in Acute Care Hospitals: A Scoping Review of the Literature
Bibliographic record
Abstract
Older persons experiencing a longer length of stay (LOS) or delayed discharge (DD) may see a decline in their health and well-being, generating significant costs. This review aimed to identify evidence on the impact of cognitive impairment (CI) on acute care hospital LOS/DD. A scoping review of studies examining the association between CI and LOS/DD was performed. We searched six databases; two reviewers independently screened references until November 2019. A narrative synthesis was used to answer the research question; 58 studies were included of which 33 found a positive association between CI and LOS or DD, 8 studies had mixed results, 3 found an inverse relationship, and 14 showed an indirect link between CI-related syndromes and LOS/DD. Thus, cognitive impairment seemed to be frequently associated with increased LOS/DD. Future research should consider CI together with other risks for LOS/DD and also focus on explaining the association between the two.
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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 | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".