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NCT Number: NCT07522060

Early Functional Response as a Predictor of Clinical Outcomes in Hand Rehabilitation: A Prospective Feasibility Study Using a Digital Monitoring System

This study investigates whether early changes observed during the first weeks of hand and upper extremity rehabilitation can predict patient outcomes months later. In rehabilitation practice, clinicians make numerous decisions each session regarding exercise type, frequency, duration, and treatment approach. Most of these decisions are currently made without systematic longitudinal data. This study addresses three fundamental questions using data collected during routine clinical care: (1) Can the rate of improvement in the first weeks of treatment predict functional status months later, across both session-based and milestone-based time points? (2) Are there meaningfully different recovery profiles among hand rehabilitation patients? (3) Is there measurable variation in clinical decision-making among patients with similar profiles, and does this variation relate to outcomes? A digital patient monitoring platform developed by the principal investigator, a physiotherapist and academic researcher specializing in hand rehabilitation serves as the data collection infrastructure. The platform records standard clinical assessment measures in a structured format and has been in active clinical use at Hacettepe University prior to this study. For research purposes, the system has been expanded to include structured capture of patient-reported outcomes, patient global impression of change, treatment protocol coding, home exercise adherence, and automated calculation of early response metrics.

This is a 12-month prospective observational cohort study enrolling a minimum of 60 patients. Data are stored securely on the university's institutional network. Patients are anonymized using identification codes. The study is subject to Hacettepe University Ethics Committee approval and participant informed consent. Findings are expected to generate evidence supporting data-driven clinical decision-making in rehabilitation and to provide a feasibility foundation for a larger multi-center study.

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Key information

Conditions

Hand Arm Injuries Arthritis Carpal Tunnel Syndrome Carpal Tunnel Syndrome (CTS) Cubital Tunnel Syndrome Cumulative Trauma Disorders DeQuervain's Tenosynovitis Disease Finger Injuries Fractures, Bone Hand Arthritis Hand Injuries Hand Injuries and Disorders Hand Therapy Joint Diseases Median Neuropathy Mononeuropathies Muscular Diseases Musculoskeletal Diseases Nerve Compression Syndromes Nervous System Diseases Neuromuscular Diseases Osteoarthritis Pathologic Processes Pathological Conditions, Signs and Symptoms Peripheral Nerve Injuries Peripheral Nervous System Diseases Postoperative Rehabilitation Prediction Models Rheumatic Diseases Sprains and Strains Tendinopathy Tendon Entrapment Tendon Injuries Trapeziometacarpal (TMC) Arthrosis Trauma, Nervous System Trigger Finger Trigger Finger Disorder Ulnar Nerve Compression Syndromes Ulnar Neuropathies Upper Extremity Upper Extremity Injuries Wounds and Injuries Wrist Fractures Wrist Injuries

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hacettepe University Faculty of Physical Therapy and Rehabilitation

Ankara, 06100, Turkey (Türkiye)

Location contact

Cigdem Ayhan Kuru, Professor

CONTACT

[email protected]

00903123051576

About this study

The study addresses three research questions: (1) predictive power of early functional response for later clinical outcomes across four cascaded models (M1-M4), (2) classification of patient recovery profiles, and (3) measurement of clinical decision variation. System and methodological details reported in study supplement.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults aged 18 years or older
  • Hand or upper extremity pathology requiring rehabilitation, including but not limited to: flexor or extensor tendon injuries, peripheral nerve injuries or compression syndromes (including carpal tunnel syndrome, cubital tunnel syndrome), distal radius fractures, metacarpal or phalangeal fractures, joint injuries and instabilities, arthropathy (osteoarthritis, rheumatoid arthritis), trapeziometacarpal osteoarthritis, trigger finger, Dupuytren's disease, DeQuervain tenosynovitis, lateral epicondylitis and post-surgical upper extremity conditions
  • Under clinical responsibility of the principal investigator at the Faculty of Physical Therapy and Rehabilitation, Hacettepe University
  • Expected to attend minimum 8 rehabilitation sessions
  • Able to provide written informed consent

Exclusion criteria

  • • Active psychiatric illness precluding participation or completion of assessment tools
  • Severe cognitive impairment precluding understanding of patient-reported outcome measures
  • Literacy difficulties preventing self-completion of questionnaires
  • Concurrent enrollment in another interventional clinical study
  • Refusal to provide written informed consent

Treatment and study plan

Primary outcomes

  1. Feasibility: PROM Data Completeness

    Time frame: Throughout the 12-month study period

    Proportion of rehabilitation sessions with complete PROM data entries throughout the study period. Success criterion: ≥85% completeness rate.

  2. Model M1: Session-Based Early Response → Session 12

    Time frame: Baseline (session 1) to session 12 (approximately 4-8 weeks)

    Predictive Power of Sessions 1-4 Functional Change (ΔS₁-₄) for Session 12 Outcome Association between the early response score (ΔS₁-₄ = mean change in primary PROM per session during sessions 1-4) and primary PROM score at session 12, assessed via linear regression and ROC curve analysis (AUC). Baseline PROM entered as covariate.

  3. Model M2: Month 1 Change → Month 3 Outcome

    Time frame: Baseline to 3-month standardized assessment

    Predictive Power of 1-Month Change (Δ₀→₁) for 3-Month Outcome Association between change in primary PROM from baseline to 1-month assessment and PROM score at 3 months, with covariate adjustment for baseline severity. Tests whether early-period change forecasts mid-term outcomes.

  4. Model M4: Month 1 Change → Month 6 Outcome

    Time frame: Baseline to 6-month standardized assessment

    Predictive Power of 1-Month Change (Δ₀→₁) for 6-Month Outcome Association between change in primary PROM from baseline to 1-month assessment and PROM score at 6 months. This is the primary cascaded prediction model: can a single early assessment predict medium-to-long-term functional outcomes? Findings will inform evidence-based treatment modification thresholds.

Secondary outcomes

  1. Model M3: Month 3 Change → Month 6 Outcome

    Time frame: Baseline to 6-month standardized assessment

    Predictive Power of 3-Month Change (Δ₀→₃) for 6-Month Outcome Association between change in primary PROM from baseline to 3-month assessment and PROM score at 6 months, with baseline covariate adjustment. Completes the cascaded prediction chain (M1-M4).

  2. Recovery Profile Classification

    Time frame: Baseline through session 12 (~4-8 weeks)

    Number of Distinct Longitudinal Recovery Profiles Number of meaningfully different recovery trajectory clusters identified via K-means clustering of longitudinal PROM data (silhouette analysis for optimal cluster number) and individual growth curves from linear mixed models.

  3. Clinical Decision Variation

    Time frame: Throughout the 12-month study period

    Treatment Protocol Variation Coefficient (CV%) Coefficient of variation (CV%) of treatment protocol codes applied to patients with similar diagnostic and baseline profiles (IQR grouping), and Spearman correlation between protocol variation index and session 12 functional outcome.

  4. Feasibility: Clinician Acceptance

    Time frame: At 3 months and 12 months

    Clinician Acceptance Rate Proportion of clinicians a rating system usability as acceptable or above (≥4/5) on a structured 5-item Likert questionnaire. Success criterion: ≥80% acceptance rate.

  5. MCID Responder Rate

    Time frame: Monthly from baseline to 12 months

    Proportion Achieving MCID at Each Milestone Proportion of patients whose primary PROM change from baseline exceeds the established MCID threshold at each milestone (1, 2, 3, 6, 9, 12 months). Scale-specific MCID values: DASH=10.0; QuickDASH=15.9; PRWE=11.5; MHQ=12.8; Boston CTS=0.74; PSFS=2.0.

  6. Feasibility: Milestone Completion Rate

    Time frame: Throughout the 12-month study period

    Standardized Assessment Milestone Completion Rate Proportion of scheduled milestone assessments (baseline, 1, 2, 3, 6, 9, 12 months) completed within ±2 weeks of the target date. Success criterion: ≥80% completion rate.

Study contacts

Contact information is provided by the study sponsor or research team.

Cigdem Ayhan Kuru, Professor

CONTACT

[email protected]

00903123051576

Sponsors and collaborators

Lead sponsor

Hacettepe University

Other

Registry information

Official study title

Early Functional Response as a Predictor of Clinical Outcomes in Hand Rehabilitation: A Prospective Feasibility Study Using a Clinician-Developed Digital Monitoring System

Acronym: HANDREHPREDICT

Important dates

Study start
2026
Primary completion
2026
Study completion
2027
First posted
Apr 13, 2026
Registry last updated
Apr 13, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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