Pre–Post Rehabilitation Outcomes and Clinical/Demographic Variables (Thesis Sample)
Abstract
This dataset contains an anonymized sample of participants from a rehabilitation program, compiled for thesis analyses. It includes pre- and post-intervention measurements of health-related quality of life (SF-36 Physical and Mental Component Summary scores), functional performance (Berg Balance Scale), depressive symptoms (Beck inventory), independence in activities of daily living (Barthel Index), depressive symptoms screening in older adults (Yesavage GDS short and 15-item versions), and caregiver burden (Zarit scale), when available.For each participant, the dataset also provides the time interval between evaluations (days), computed change scores (post minus pre; “Delta_” variables), and binary indicators of improvement (“Mejora_” variables). Additionally, basic demographic variables (age, sex, year/month of birth) and encoded categorical variables (diagnosis and program) are included, along with service/discipline indicators (e.g., nursing, physiatry, speech therapy, kinesiology, psychology, occupational therapy, social work).The data are provided in tabular format for reuse in statistical analyses of rehabilitation outcomes. No direct identifiers are included.
Fields of Study & Subjects
Medical Practices and Rehabilitation
Aging
Health
and Disability
Stroke Rehabilitation and Recovery
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset