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Objective To use Rasch methodologies to combine the items of the Fugl-Meyer Assessment?Upper Extremity (FMA-UE, motor skill) and the Wolf Motor Function Test (WMFT, motor function) onto a single measurement metric and create an FMA-UE+WMFT short[...]Article
Objective To investigate the dimensionality and item-difficulty hierarchy of the Fugl-Meyer Assessment of the lower extremity (FMA-LE). Design Secondary analyses of data pooled from 4 existing datasets: a phase III randomized controlled trial [...]Article
Objective To investigate the effects of age and sex on 30-, 60-, and 90-day hospital readmission after acute hospital discharge for individuals with traumatic brain injury (TBI). Design Retrospective cohort study. Setting Acute hospitals and [...]Article
Objective To improve the practical use of the short forms (SFs) developed from the item bank, we compared the measurement precision of the 4- and 8-item SFs generated from a motor item bank composed of the FIM and the Minimum Data Set (MDS). De[...]Article
Health services research focuses on access, quality, and cost-effectiveness of care. As a result of increasing emphasis on value-based reimbursement models, conducting health services research to demonstrate the value of occupational therapy is [...]Article
Objective To investigate the effects of facility-level factors on 30-day unplanned risk-adjusted hospital readmission after discharge from inpatient rehabilitation facilities (IRFs). Design Study using 100% Medicare claims data, covering 269,3[...]Article
Sally Wasmuth ; Bethany Leonhardt ; Kevin T. Pritchard ; Chih-Ying Li ; Annie DeRolf ; Lisa Mahaffey |Importance: Societal stigma gravely impedes occupational justice for transgender and gender-nonconforming (TGNC) people, producing vast health disparities for this population. Objective: To test the feasibility of an intervention to reduce stigm[...]Article
Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke
Gong-Hong Lin ; Chih-Ying Li ; Ching-Fan Sheu ; Chien-Yu Huang ; Shih-Chieh Lee ; Yu-Hui Huang ; Ching-Lin Hsieh |Objective 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) [...]
