ArticleCanadian geriatrics journal : CGJ2025
Creation of a Rehabilitation Prediction Rule: a Prioritization Procedure.
Article in Canadian geriatrics journal : CGJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review.JMIR medical informatics · 2026Pooled it
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Older adults may require longer recovery periods prior to being discharged from the hospital after an acute care stay. For some, returning to their previous living arrangement may no longer be safe or feasible after an acute care admission, and they may require alternate levels of care. It can be challenging to evaluate which patients may benefit most from inpatient rehabilitation versus those for whom alternate levels of care are more suitable. Using a prioritization procedure, this study identified and ranked predictive factors for successful inpatient rehabilitation (defined as discharge to previous living arrangement) from most to least important. The final round of the prioritization procedure resulted in a list of the top 20 predictive factors, ranked by health-care providers in the field, from most to least important. Predictive factors included demographic information, past medical history factors, acute care illness factors, and results of investigations performed during the index hospitalization. The top ranked predictive factors related to patients' previous living arrangements, level of independence before hospitalization, and presence or absence of cognitive impairment. The bottom ranked predictive factors related to physical measures and results of inpatient investigations at the time of transfer. These findings highlight the importance of considering patients' lived experiences prior to hospitalization when determining who may obtain the greatest benefit from further, intensive inpatient rehabilitation following an acute care hospitalization.
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