ArticleMedicine2016
Physiatrist referral preferences for postacute stroke rehabilitation.
Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
7 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Motor rehabilitation after stroke: European Stroke Organisation (ESO) consensus-based definition and guiding framework.European stroke journal · 2023Guideline
- Use of peripheral electrical stimulation on healthy individual and patients after stroke and its effects on the somatosensory evoked potentials. A systematic review.Frontiers in neurology · 2022Pooled it
- Inconsistent Classification of Mild Stroke and Implications on Health Services Delivery.Archives of physical medicine and rehabilitation · 2020Pooled it
- Accuracy of Physiotherapist Predictions for Independent Walking After Stroke.Neurorehabilitation and neural repair · 2024Trial
- Temporal External Validation of the TWIST Prediction Tool for Time to Independent Walking after Stroke.Neurorehabilitation and neural repair · 2026Article
- Classifying Patient Characteristics and Determining a Predictor in Acute Stroke Patients: Application of Latent Class Analysis in Rehabilitation Practice.Journal of clinical medicine · 2025Article
- Medicare Advantage Patterns of Poststroke Discharge to an Inpatient Rehabilitation or Skilled Nursing Facility: A Consideration of Demographic, Functional, and Payer Factors.Physical therapy · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was intended to determine if there is variation among physiatrists in referral preferences for postacute rehabilitation for stroke patients based on physician demographic characteristics or geography.A cross-sectional survey study was developed with 5 fictional case vignettes that included information about medical, social, and functional domains. Eighty-six physiatrist residents, fellows, and attendings were asked to select the most appropriate postacute rehabilitation setting and also to rank, by importance, 15 factors influencing the referral decision. Chi-square bivariate analysis was used to analyze the data.Eighty-six surveys were collected over a 3-day period. Bivariate analysis (using chi-square) showed no statistically significant relationship between any of the demographic variables and poststroke rehabilitation preference for any of the cases. The prognosis for functional outcome and quality of postacute facility had the highest mean influence ratings (8.63 and 8.31, respectively), whereas location of postacute facility and insurance had the lowest mean influence ratings (5.74 and 5.76, respectively).Physiatrists' referral preferences did not vary with any identified practitioner variables or geographic region; referral preferences only varied significantly by case.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.