Applying the International Classification of Functioning, Disability and Health framework to determine the predictors of falls and fractures in people with osteoarthritis or at high risk of developing osteoarthritis: data from the Osteoarthritis Initiative.
Sze-Ee SohAnna L BarkerRenata T MorelloIlana N AckermanPublished in: BMC musculoskeletal disorders (2020)
By applying the ICF framework, we have shown that personal factors were more likely to predict falls and fractures rather than OA impairments, environmental factors, activity limitations and participation restrictions in people with OA or at high risk of developing OA. This highlights the importance of questioning patients about their previous falls and past medical history, and using this information to focus our assessment and clinical decision-making processes.
Keyphrases
- knee osteoarthritis
- end stage renal disease
- rheumatoid arthritis
- healthcare
- decision making
- newly diagnosed
- ejection fraction
- chronic kidney disease
- health information
- peritoneal dialysis
- machine learning
- community dwelling
- physical activity
- mental health
- multiple sclerosis
- deep learning
- prognostic factors
- big data
- quality improvement
- social media
- climate change
- artificial intelligence
- clinical evaluation