Functional prediction post-stroke.

Area of Science:

• Neurorehabilitation
• Clinical Prediction
• Stroke Recovery

Background:

• Accurate prediction of motor function recovery and its timeline post-stroke is a valuable clinical skill for physiotherapists.
• Understanding prediction accuracy aids in patient management and rehabilitation planning.

Purpose of the Study:

• To investigate the accuracy of physiotherapists' predictions for motor function recovery level and time post-stroke.
• To assess the accuracy of predicting patient independence.

Main Methods:

• A prospective, unblinded trial involving 37 sequentially admitted stroke patients.
• Evaluation of predictions across eight functional tasks using ordinal assessment scales.
• Statistical analysis of correlations between predicted and achieved motor function recovery (level and time).

Main Results:

• Statistically significant correlations found between predicted and achieved performance for both recovery level and time across all tasks.
• Prediction accuracy for recovery level (84-100% ± one level) was higher than for recovery time (63-90% ± two weeks).
• Physiotherapists demonstrated accurate prediction of patient independence (predictive values 0.76-0.95) and tended to be optimistic when predictions were inaccurate.

Conclusions:

• Physiotherapists possess a useful clinical skill in predicting motor function recovery level and time post-stroke.
• Prediction accuracy is notably higher for recovery level compared to recovery duration.
• The findings support the clinical utility of physiotherapists' predictive abilities in stroke rehabilitation.