ClinicalTrials.gg
Not yet recruitingNCT07522060HANDREHPREDICTUpdated Apr 13, 2026

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

An observational study in Hand, Hand Therapy and Upper Extremity, sponsored by Hacettepe University. Not yet recruiting at 1 site in Turkey (Türkiye). Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-04-13.

Primary conditionFinger InjuriesRegistry: Hand InjuriesReclassifiedWhy we changed it
Registry
Hand Injuries — the first condition term the registry derived for this study.
ClinicalTrials.gg
Finger Injuries
Why
  1. The study's listed conditions name Finger Injuries, a narrower term within Hand Injuries.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Hacettepe University · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
60
Ages
18 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

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.

02

Conditions studied

  • Hand
  • Hand Therapy
  • Upper Extremity
  • Prediction Models
  • Hand Injuries
  • Hand Injuries and Disorders
  • Hand Arthritis
  • Tendon Injuries
  • Wrist Fractures
  • Carpal Tunnel Syndrome (CTS)
  • Peripheral Nerve Injuries
  • Upper Extremity Injuries
  • Wrist Injuries
  • Finger Injuries
  • Trigger Finger
  • Trapeziometacarpal (TMC) Arthrosis
  • DeQuervain's Tenosynovitis
  • Cubital Tunnel Syndrome
  • Postoperative Rehabilitation

Keywords

  • digital health monitoring
  • real-world evidence
  • clinical decision support
  • upper extremity rehabilitation
  • early response prediction
03

In context

Finger Injuries Reclassified

24 studies on the registry are indexed under Finger Injuries; 4 are open to participants now.

Browse Finger Injuries studies →

Lead sponsor

Hacettepe University is the lead sponsor of 1,007 studies on the registry; 214 are open to participants now.

Compared within Finger Injuries, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Hand Injuries. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults with hand and upper extremity pathologies under the clinical responsibility of the principal investigator at Hacettepe University Faculty of Physical Therapy and Rehabilitation, Ankara, Turkey. Consecutive, non-probability sampling applied: all eligible patients enrolled in order of presentation until minimum n=60 is reached

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion criteria

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
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
60 participants (estimated)
Patient registry
No

Groups and cohorts

  • Hand Rehabilitation Cohort

    Adults with hand and upper extremity pathologies undergoing rehabilitation under the clinical responsibility of the principal investigator at Hacettepe University Faculty of Physical Therapy and Rehabilitation. Consecutive sampling: all eligible patients enrolled in order of presentation until minimum sample size is reached.

06

What researchers measure

Primary outcomes

  1. Feasibility: PROM Data Completeness

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

    Time frame: Throughout the 12-month study period

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

    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.

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

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

    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.

    Time frame: Baseline to 3-month standardized assessment

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

    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.

    Time frame: Baseline to 6-month standardized assessment

Secondary outcomes

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

    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).

    Time frame: Baseline to 6-month standardized assessment

  2. Recovery Profile Classification

    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.

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

  3. Clinical Decision Variation

    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.

    Time frame: Throughout the 12-month study period

  4. Feasibility: Clinician Acceptance

    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.

    Time frame: At 3 months and 12 months

  5. MCID Responder Rate

    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.

    Time frame: Monthly from baseline to 12 months

  6. Feasibility: Milestone Completion Rate

    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.

    Time frame: Throughout the 12-month study period

07

Study locations

1 site
08

References and documents

Individual participant data

Plan to share: No — Individual participant data will not be publicly shared to protect privacy. Aggregate data and complete R analysis code will be made available as supplementary material upon publication. De-identified study data may be made available upon reasonable written request to the corresponding author following publication.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Jun 2026; primary completion for Dec 2026, 6 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Apr 3, 2026
First posted
Apr 13, 2026
StartEst.
Jun 15, 2026
Primary completionEst.
Dec 30, 2026
CompletionEst.
Jun 1, 2027
Last update
Apr 13, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 13, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07522060
Responsible party
Cigdem Ayhan (Professor, Hacettepe University) — Principal investigator
First posted
Apr 13, 2026
Start date
Jun 15, 2026 (estimated)
Primary completion
Dec 30, 2026 (estimated)
Completion
Jun 1, 2027 (estimated)
Last update
Apr 13, 2026

Study contacts

Cigdem Ayhan Kuru, Professor
Contact
cayhan@hacettepe.edu.tr
00903123051576

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.

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