ICF-Based Biopsychosocial Assessment With AI-Assisted Profile Prediction: Trapeziometacarpal Osteoarthritis Model
Key facts
- Where
- Ankara, TürkiyeSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 25 and 74 years old?
Source: NCT07458971, who can take part
Where in Türkiye
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Hand Surgery Rehabilitation UnitAnkara, TürkiyeContact: Tugba Ulusoy, MScTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Hacettepe University
- Trial code
- NCT07458971
- Record updated
- 16 September 2026
- Original description
Trapeziometacarpal osteoarthritis (TMC OA) is a common condition affecting the base of the thumb that causes pain, weakness, and difficulty with daily hand use. Current clinical assessment often focuses on physical findings alone, without considering psychological and social factors that also influence patient outcomes.Read full original descriptionShow less
ICF-Based Biopsychosocial Assessment With Artificial Intelligence-Assisted Profile Prediction: Trapeziometacarpal Osteoarthritis Model
Trapeziometacarpal osteoarthritis (TMC OA) is a common condition affecting the base of the thumb that causes pain, weakness, and difficulty with daily hand use. Current clinical assessment often focuses on physical findings alone, without considering psychological and social factors that also influence patient outcomes.
This study has three objectives organized as interrelated work packages:
OBJECTIVE 1 (Clinical Assessment): To comprehensively assess individuals with TMC OA using the International Classification of Functioning, Disability and Health (ICF) framework. This includes evaluating pain, joint mobility, grip strength, daily activity limitations, social participation, psychological factors (anxiety, depression, fear of movement, pain beliefs), and environmental factors (family support, ergonomic adaptations).
OBJECTIVE 2 (AI Knowledge Evaluation): To compare the performance of four large language models (GPT-5.2, Claude Opus 4.6, Gemini 2.5 Pro, LLaMA 4 Maverick) in answering patient questions about TMC OA, and to test whether adding a clinician-oriented system prompt changes that performance. Each question is submitted under two prompting conditions (zero-shot and clinician-oriented system prompt) and responses are rated by blinded experts for accuracy, comprehensiveness and clinical relevance, with readability assessed by automated indices.
OBJECTIVE 3 (AI-Based Prediction): To analyze whether the best-performing large language model can predict multidimensional ICF-based patient profiles using only a limited set of core clinical parameters.
Inclusion: Diagnosis of trapeziometacarpal osteoarthritis (TMC OA) confirmed by an orthopedic surgeon and/or hand surgeon; TMC OA-related symptoms persisting for more than 3 months; Aged between 25 and 74 years; Literate in Turkish; Adequate cognitive function (Mini-Mental State Examination score of 25 or above); No other chronic systemic disease (e.g., rheumatoid arthritis, chronic diabetes, cardiovascular disease, chronic hepatitis); Voluntary participation with signed informed consent.
Exclusion: Presence of a different orthopedic condition or prior surgery involving the thumb on the unilateral upper extremity; Diagnosis of any major psychopathology and currently receiving psychiatric or psychological treatment; Uncontrolled systemic diseases (chronic obstructive pulmonary disease, congestive heart failure, endocrine system disease, history of stroke); Unwillingness to participate; Pregnancy.