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This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) in patients with stroke.Secondary data from a previous study. A follow-up study assessed patients with stroke using the Barthel Index (BI), Postural Assessment Scale for Stroke (PASS), and Stroke Rehabilitation Assessment of Movement (STREAM) at hospital admission and discharge.A rehabilitation unit in a medical center.Patients (N=307) with stroke.Not applicable.The BI, PASS, and STREAM.A machine learning algorithm, Extreme Gradient Boosting, was used to select 15 items from the BI, PASS, and STREAM, and transformed the raw scores of the selected items into the scores of the ML-5F. The ML-5F demonstrated good concurrent validity (Pearson's r, 0.88-0.98) and responsiveness (standardized response mean, 0.28-1.01).The ML-5F comprises only 15 items but demonstrates sufficient concurrent validity and responsiveness to assess ADL, balance, UE and LE functions, and mobility in patients with stroke. The ML-5F shows great potential as an efficient outcome measure in clinical settings.

The authors aimed to develop and validate the Computerized Adaptive Testing System for Assessing 5 Functions in Patients with Stroke (CAT-5F) based on the Barthel Index (BI), Postural Assessment Scale for Stroke patients (PASS), and Stroke Rehabilitation Assessment of Movement (STREAM) to improve the efficiency of assessment. The purposes of the CAT-5F assessment are to describe patients' levels of impairments or disabilities in the 5 functions and to serve as an outcome measure in patients with stroke.This is a data-mining study based on data from a previous study using simulation analysis to develop and validate the CAT-5F.One rehabilitation unit in a medical center in Taiwan served as the setting for this study.Data were retrieved from totals of 540 (initial assessment) and 309 (discharge assessment) participants with stroke assessed in a previous study. The assessment data (N=540) were from the BI, PASS, and STREAM.Not applicable.The outcome measures for this study were from BI, PASS, and STREAM.The CAT-5F using the optimal stopping rule (limited reliability increased0.010) had good Rasch reliability across the 5 functions (0.86-0.96) and needed 12.7 items, on average, for the whole administration. The concurrent validity (Pearson product-moment correlation coefficient, r=0.91-0.96) and responsiveness (standardized response mean=0.33-0.91) of the CAT-5F were sufficient in the patients.The CAT-5F has sufficient administrative efficiency, reliability, concurrent validity, and responsiveness to simultaneously assess basic activities of daily living, postural control, upper extremity/lower extremity motor functions, and mobility in patients with stroke.

To develop a computerized adaptive testing system of the Functional Assessment of Stroke (CAT-FAS) to assess upper- and lower-extremity (UE/LE) motor function, postural control, and basic activities of daily living with optimal efficiency and without sacrificing psychometric properties in patients with stroke.Simulation study.One rehabilitation unit in a medical center.Patients with subacute stroke (N=301; mean age, 67.3±10.9; intracranial infarction, 74.5%).Not applicable.The UE and LE subscales of the Fugl-Meyer Assessment, Postural Assessment Scale for Stroke Patients, and Barthel Index.The CAT-FAS adopting the optimal stopping rule (limited reliability increase of.010) had good Rasch reliability across the 4 domains (.88-.93) and needed few items for the whole administration (8.5 items on average). The concurrent validity (CAT-FAS vs original tests, Pearson r=.91-.95) and responsiveness (standardized response mean, .65-.76) of the CAT-FAS were good in patients with stroke.We developed the CAT-FAS, and our results support that the CAT-FAS has sufficient efficiency, reliability, concurrent validity, and responsiveness in patients with stroke. The CAT-FAS can be used to simultaneously assess patients' functions of UE, LE, postural control, and basic activities of daily living using, on average, no more than 10 items; this efficiency is useful in reducing the assessment burdens for both clinicians and patients.

Objective To develop a computerized adaptive test of social functioning (Social-CAT) for patients with stroke. Design This study contained 2 phases. First, a unidimensional item bank was formed using social-related items with sufficient item fit (ie, infit and outfit mean square [MNSQ]). The social-related items were selected from 3 commonly used patient-reported quality-of-life measures. Items with differential item functioning (DIF) of sex were deleted. Second, we performed simulations to determine the best set of stopping rules with both high reliability and efficiency. The participants' responses to the items were extracted from a previous study. Setting Rehabilitation wards and departments of rehabilitation/neurology of 5 general hospitals. Participants Patients (N=263) with stroke (47.1% were inpatients). Interventions Not applicable. Main Outcome Measure Social-CAT. Results The unidimensionality of the 24 selected items was supported (infit and outfit MNSQs=0.8–1.2). One item had DIF of sex and was deleted. The item bank was composed of the remaining 23 items. With the best set of stopping rules (person reliability ≥.90 or limited reliability increased ≤.001), the Social-CAT used on average 10 items to achieve sufficient reliability (average person reliability=.88; 81.0% of the patients with reliability ≥.90). Conclusions The Social-CAT appears to be a unidimensional measure with acceptable reliability and efficiency, and it could be useful for both clinicians and patients in time-pressed clinical settings.