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Virtual Hand-Arm Assessments for Children With Cerebral Palsy

Virtual Hand-Arm Assessments for Children With Cerebral Palsy: Helping Us to Achieve Equity in Rehabilitation Care and Research

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07383753
Enrollment
100
Registered
2026-02-03
Start date
2025-10-22
Completion date
2027-01-01
Last updated
2026-02-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cerebral Palsy (CP)

Keywords

Virtual assessment, Tele-rehabilitation, Remote upper limb assessment, Virtual care, Pediatric rehabilitation

Brief summary

Cerebral palsy (CP) affects approximately 1 in 500 Canadian children, and the majority experience hand and arm limitations that impact independence, participation in daily activities, and overall quality of life. Many children require ongoing clinical assessments and therapy delivered in specialized centres, creating significant burden related to travel, scheduling, and interruptions to school and work. Barriers such as geography, socioeconomic factors, and pandemic-related service disruptions have further limited equitable access to in-person care. Although virtual care has expanded rapidly and families have expressed strong interest in hybrid care models, there is currently no validated approach for conducting comprehensive virtual hand-arm assessments for children with CP. Virtual administration of standardized assessments, individualized goal-based evaluations, and naturalistic observation tools has not been systematically studied. Evidence is urgently needed to determine which assessments can be administered virtually, how acceptable and feasible they are for families, and whether virtual and in-person assessment methods produce equivalent results.

Detailed description

Cerebral Palsy (CP) impacts 1 in 500 Canadian children and most (60-83%) have hand/arm limitations that adversely affect independence in daily activities, school, leisure, and social participation. Optimizing hand/arm abilities via therapeutic, surgical and pharmaceutical interventions is a key focus of CP management for children, parents, and clinicians and can involve many clinic appointments for assessments, therapeutic interventions, and follow-up. At best, this introduces a significant family burden with children missing school and potentially other extra-curricular activities and parents juggling work, scheduling and costs. At worst, it means that many children with CP do not receive rehabilitation services and are systemically underrepresented in clinical research studies that could positively impact their lives. Barriers to in-person care include geographic considerations, time/scheduling, availability, socioeconomic factors, not to mention COVID-19-related interruptions. One potential solution to promote equitable and family-focused access to care is to grow capacity for virtual care that can be managed remotely (e.g. via phone/video). There is a growing movement "not to return to normal" post-COVID, but rather to use the technological advances and learnings to "expand the range, nature and locations of our services for children with developmental disabilities and their families." Many organizations, including our knowledge partner Holland Bloorview Kids Rehabilitation Hospital (HB), have committed to continuing and expanding virtual care options in response to positive family feedback that supports hybrid (virtual/in-person) models of care. This research priority is shared by the wider community of pediatric rehabilitation. Importantly, the goal is not to displace in-person care; rather it is to understand when virtual options can and cannot be offered. It is essential that virtual care, like in-person care, be evidence-based and aligned with current best research findings, clinical expertise and patient/client preferences. While novel ways of delivering hand-arm therapy via videoconferencing and caregiver engagement have been innovated, it is still difficult to assess hand-arm skills virtually. Hand-arm rehabilitation must be guided by reliable assessment via a combination of patient-reported outcome measures (PROMs), direct measurement, and therapist observations to capture the function, activity, and participation domains of the World Health Organization's International Classification of Function, Disability, and Health (WHO ICF). Outside of PROMs, there are no validated tools for virtual hand-arm assessment of children with CP. This project will focus on direct- and therapist-observed tools to complement digitally-based PROMs that are already suitable for use in virtual assessment. It will address critical issues in need of systematic research as identified in the literature, specifically: What hand-arm assessments can be done virtually? And, what do families want and need in virtual assessments? This study aims to validate well-established standardized measures for virtual administration to support current research and clinical practice, while also exploring individualized measures that can capture the child engaging in their own environment. The ability to observe children in their natural context is seen as an added advantage of virtual assessment. This critical and timely work is needed to ensure continuation/expansion of the positive practice changes made to overcome access-to-care barriers. Promoting equity, diversity and inclusion in the healthcare system is an urgent priority of health agencies across Canada. Advancing virtual assessment is a complementary and foundational step towards research and practice of evidence-based virtual interventions. This research will quickly generate evidence on the use of existing tools for virtual assessment and what is achievable in the home context. It will contribute new learnings on assessments that can capture the child more naturally in their own environment. This study will identify areas where virtual assessment may not be advisable with currently available tools and provide family-directed learnings for future work. This study will adopt a convergent mixed methods design including a test-retest approach to compare the feasibility, acceptability, and equivalence of virtual and in-person hand/arm assessments. 100 children and their caregivers will complete the 1 - 1.5 hour assessment protocol twice, once in clinic and once virtually at home via Zoom video-conferencing. A therapist will oversee both assessments. The virtual assessment will occur first. One week later, families will do a second virtual assessment with the same therapist to establish test-retest reliability and to capture any changes in their experience of or perspectives on virtual assessments. The virtual assessment will occur 1 - 3 days after the re-test. Feasibility, acceptability, and equivalence of in-person and virtual assessment will be investigated through quantitative and qualitative methods. For the latter, this study will purposefully recruit (i.e. with diversity as a focus) 25 parents and 25 children for follow-up interviews. All 6 research therapists will also be interviewed after their final session on the risks, opportunities and challenges of virtual assessment.

Interventions

OTHERUpper-Limb Virtual and In-Person Assessment

Participants complete a standardized upper-limb assessment protocol that includes two virtual videoconference assessments-delivered one week apart to evaluate test-retest reliability-and one in-person clinic assessment with the same research therapist to enable within-participant comparison of virtual and in-person scores. After each session, children, caregivers, and therapists complete brief surveys assessing feasibility, ease of completion, acceptability, and preferences. Participants also wear bilateral wrist-worn inertial sensors for five consecutive days at home to collect continuous data on naturalistic upper-limb activity. Families also provide caregiver-recorded videos of the child performing two preselected meaningful activities in their home environment. These videos are later scored using the Perceived Quality Rating Scale (PQRS) to evaluate individualized functional performance.

Sponsors

Holland Bloorview Kids Rehabilitation Hospital
Lead SponsorOTHER
Canadian Institutes of Health Research (CIHR)
CollaboratorOTHER_GOV

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
6 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

* Have a diagnosis of Cerebral Palsy * Are between 6 to 17 years old with sufficient cognitive capacity and cooperation to sit without a break for 30 minutes at a time * MACS levels I (handles objects easily) to III (handles objects with difficulty) * No visual limitations that would interfere with video conferencing * Has a caregiver willing to participate and can questions about preferences * Have an appropriate device and internet access for video conferencing

Exclusion criteria

\- Active treatments (e.g. Botulinum Toxin injections or constraint therapy in the last two months, or upper extremity surgery in the last 6 months) that might impact upper limb function stability over the study period.

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of Virtual Upper-Limb Assessments: Completion Rate of Virtual aROMFrom enrollment through completion of the 2 virtual assessments (approximately 2 weeks).The percentage of enrolled participants who complete the virtually administered active range of motion (aROM) assessment. Feasibility success is defined a priori as \>70% completion.
Feasibility of Virtual Upper-Limb Assessments: Completion Rate of Virtual Box and Block Test (BBT)From enrollment through completion of the 2 virtual assessments (approximately 2 weeks).The percentage of enrolled participants who complete the virtually administered Box and Block Test (BBT). Feasibility success is defined a priori as \>70% completion.
Feasibility of Virtual Upper-Limb Assessments: Completion Rate of Virtual Quality of Upper Extremity Skills Test (QUEST)From enrollment through completion of the 2 virtual assessments (approximately 2 weeks).The percentage of enrolled participants who complete the virtually administered Quality of Upper Extremity Skills Test (QUEST). Feasibility success is defined a priori as \>70% completion.
Feasibility of Virtual Upper-Limb Assessments: Completion Rate of Virtual SHUEE Spontaneous Functional Analysis (SHUEE-SFA)From enrollment through completion of the 2 virtual assessments (approximately 2 weeks).The percentage of enrolled participants who complete the virtually administered SHUEE Spontaneous Functional Analysis (SHUEE-SFA). Feasibility success is defined a priori as \>70% completion.
Feasibility of Virtual Upper-Limb Assessments: Recruitment and Attrition MetricsFrom enrollment through completion of participation (approximately 3-4 weeks).Recruitment rate (number of participants enrolled over the recruitment period), attrition rate (percentage of enrolled participants who do not complete the virtual assessment component), and documented reasons for non-eligibility, non-participation, or withdrawal.
Feasibility of Virtual Upper-Limb Assessments: Ability to Obtain Required Household Materials for Virtual AssessmentPrior to commencement of virtual assessments (Week 1)The percentage of families who report successfully obtaining all required household materials needed to complete the virtual standardized assessments from home.
Feasibility of Virtual Upper-Limb Assessments: Technical, Environmental, Behavioral, and Cognitive Challenges During Virtual SessionsDuring Virtual Assessment 1 and Virtual Assessment 2 (approximately 2 weeks)The number of technical (e.g., dropped connection), video quality (e.g., lighting, camera angle), behavioral (e.g., distraction), and cognitive (e.g., confusion) challenges observed during virtual assessment sessions, coded from session videos using the standardized Observational Checklist and Behavioural Observation Research Interactive Software (BORIS).
Feasibility of Virtual Upper-Limb Assessments: Duration of Virtual and In-Person aROMDuring Virtual Assessment #1, Virtual Assessment #2 and In-Person Assessment Session #1 (approximately 3 weeks)Time required to complete the active range of motion (aROM) when administered virtually compared to in person, as recorded using the standardized Observational Checklist.
Feasibility of Virtual Upper-Limb Assessments: Duration of Virtual and In-Person BBTDuring Virtual Assessment #1, Virtual Assessment #2 and In-Person Assessment Session #1 (approximately 3 weeks)Time required to complete the Box and Blocks Test (BBT) when administered virtually compared to in person, as recorded using the standardized Observational Checklist.
Feasibility of Virtual Upper-Limb Assessments: Duration of Virtual and In-Person QUESTDuring Virtual Assessment #1, Virtual Assessment #2 and In-Person Assessment Session #1 (approximately 3 weeks)Time required to complete the QUEST when administered virtually compared to in person, as recorded using the standardized Observational Checklist.
Feasibility of Virtual Upper-Limb Assessments: Duration of Virtual and In-Person SHUEE-SFADuring Virtual Assessment #1, Virtual Assessment #2 and In-Person Assessment Session #1 (approximately 3 weeks)Time required to complete the SHUEE-SFA when administered virtually compared to in person, as recorded using the standardized Observational Checklist.
Acceptability of Virtual aROM (Caregiver and Therapist)Immediately after each virtual and in-person assessment (weeks 1-3).Acceptability of virtual administration of the active range of motion (aROM) assessment will be measured using a post-session Acceptability Survey administered via REDCap. After each assessment session, caregivers and the occupational therapist will each rate whether the virtual administration of the aROM was comparable or preferable to in-person administration. Acceptability success is defined a priori as \>70% comparable or preferable ratings.
Acceptability of Virtual Box and Block Test (Caregiver and Therapist)Immediately after each virtual and in-person assessment (weeks 1-3).Acceptability of virtual administration of the Box and Block Test will be measured using a post-session Acceptability Survey administered via REDCap. After each assessment session, caregivers and the occupational therapist will each rate whether the virtual administration of the BBT was comparable or preferable to in-person administration. Acceptability success is defined a priori as \>70% comparable or preferable ratings.
Acceptability of Virtual QUEST (Caregiver and Therapist)Immediately after each virtual and in-person assessment (weeks 1-3).Acceptability of virtual administration of the QUEST will be measured using a post-session Acceptability Survey administered via REDCap. After each assessment session, caregivers and the occupational therapist will each rate whether the virtual administration of the QUEST was comparable or preferable to in-person administration. Acceptability success is defined a priori as \>70% comparable or preferable ratings.
Acceptability of Virtual SHUEE-SFA (Caregiver and Therapist)Immediately after each virtual and in-person assessment (weeks 1-3).Acceptability of virtual administration of the SHUEE-SFA will be measured using a post-session Acceptability Survey administered via REDCap. After each assessment session, caregivers and the occupational therapist will each rate whether the virtual administration of the SHUEE-SFA was comparable or preferable to in-person administration. Acceptability success is defined a priori as \>70% comparable or preferable ratings.
Equivalence of Virtual and In-Person aROM ScoresAcross the two virtual assessments and subsequent in-person assessment (approximately 3 weeks).Agreement between virtual and in-person assessment aROM scores (scored live, 2-3 days apart) will be examined using mean absolute differences, intraclass correlation coefficients (ICCs; target ICC ≥0.90, lower 95% CI \>0.60), Bland-Altman limits of agreement, and coefficient of variation (\<10%). Equivalence is met if 80% confidence limits fall within each test's minimally important change or smallest detectable difference. Factors contributing to low agreement (e.g., internet quality, scope of view) will be explored using session videos.
Equivalence of Virtual and In-Person BBT ScoresAcross the two virtual assessments and subsequent in-person assessment (approximately 3 weeks).Agreement between virtual and in-person assessment BBT scores (scored live, 2-3 days apart) will be examined using mean absolute differences, intraclass correlation coefficients (ICCs; target ICC ≥0.90, lower 95% CI \>0.60), Bland-Altman limits of agreement, and coefficient of variation (\<10%). Equivalence is met if 80% confidence limits fall within each test's minimally important change or smallest detectable difference. Factors contributing to low agreement (e.g., internet quality, scope of view) will be explored using session videos.
Equivalence of Virtual and In-Person QUEST ScoresAcross the two virtual assessments and subsequent in-person assessment (approximately 3 weeks).Agreement between virtual and in-person assessment QUEST scores (scored live, 2-3 days apart) will be examined using mean absolute differences, intraclass correlation coefficients (ICCs; target ICC ≥0.90, lower 95% CI \>0.60), Bland-Altman limits of agreement, and coefficient of variation (\<10%). Equivalence is met if 80% confidence limits fall within each test's minimally important change or smallest detectable difference. Factors contributing to low agreement (e.g., internet quality, scope of view) will be explored using session videos.
Equivalence of Virtual and In-Person SHUEE-SFA ScoresAcross the two virtual assessments and subsequent in-person assessment (approximately 3 weeks).Agreement between virtual and in-person assessment SHUEE-SFA scores (scored live, 2-3 days apart) will be examined using mean absolute differences, intraclass correlation coefficients (ICCs; target ICC ≥0.90, lower 95% CI \>0.60), Bland-Altman limits of agreement, and coefficient of variation (\<10%). Equivalence is met if 80% confidence limits fall within each test's minimally important change or smallest detectable difference. Factors contributing to low agreement (e.g., internet quality, scope of view) will be explored using session videos.
Test-Retest Reliability of Virtual aROMBetween Virtual Assessment 1 and Virtual Assessment 2 (1-week interval).Reliability will be evaluated using ICCs for (a) the two virtual assessments performed one week apart (live scoring), and (b) live scoring versus video-based scoring. Paired t-tests will examine systematic differences across repeated sessions.
Test-Retest Reliability of Virtual BBTBetween Virtual Assessment 1 and Virtual Assessment 2 (1-week interval).Reliability will be evaluated using ICCs for (a) the two virtual assessments performed one week apart (live scoring), and (b) live scoring versus video-based scoring. Paired t-tests will examine systematic differences across repeated sessions.
Test-Retest Reliability of Virtual QUESTBetween Virtual Assessment 1 and Virtual Assessment 2 (1-week interval).Reliability will be evaluated using ICCs for (a) the two virtual assessments performed one week apart (live scoring), and (b) live scoring versus video-based scoring. Paired t-tests will examine systematic differences across repeated sessions.
Test-Retest Reliability of Virtual SHUEE-SFABetween Virtual Assessment 1 and Virtual Assessment 2 (1-week interval).Reliability will be evaluated using ICCs for (a) the two virtual assessments performed one week apart (live scoring), and (b) live scoring versus video-based scoring. Paired t-tests will examine systematic differences across repeated sessions.
Predictors of Feasibility, Acceptability, and EquivalenceFrom enrollment through completion of participation (approximately 3-4 weeks).Logistic regression analyses will examine whether participant characteristics (age, disability level \[MACS\], gender, sex, ethnicity, socioeconomic status) predict three dichotomized outcomes: (1) completion of virtual standardized assessments (yes/no), (2) willingness to participate in future virtual assessments (yes/no), and (3) acceptable agreement between virtual and in-person assessment scores (yes/no).

Secondary

MeasureTime frameDescription
Feasibility of Caregiver-Recorded Activity Videos (PQRS)During weeks 1-3.Proportion of families who successfully produce two scorable activity videos following (a) in-person therapist instruction and (b) virtual therapist instruction. Success defined as \>70% scorable videos.
Acceptability of Caregiver-Recorded VideosImmediately after video submission (weeks 1-3).Percentage of families reporting satisfaction with video recording as a component of assessment, using an a priori threshold of \>70% satisfaction.
Test-Retest Reliability of Perceived Quality Rating Scale (PQRS) ScoresAcross two video-recording periods separated by approximately 1 weekTest-retest reliability of caregiver-recorded activity videos will be evaluated using intraclass correlation coefficients (ICCs), a unitless reliability statistic, calculated across two sets of videos recorded approximately one week apart for the same individualized activities and scored using the Perceived Quality Rating Scale (PQRS).
Feasibility of Gamified Assessment TasksDuring the in-person assessment (week 3).Percentage of participants who successfully complete all gamified tasks.
Acceptability of Gamified Assessment TasksIn-person assessment (Week 3).Measured by the caregiver using a post-session Acceptability Survey administered via REDCap following the in-person assessment session.
Convergent Validity of Gamified Movement MetricsDuring in-person assessment (week 3).Correlations will be computed between kinematic outputs (e.g., smoothness, peak velocity, reach envelope, symmetry) and established clinical assessments (e.g., aROM, AHA symmetry scores).
Feasibility of Wrist-Worn Inertial Sensors5-day home monitoring period (week 2).Percentage of participants who successfully collect \>15 hours of usable sensor data over 5 days, and the proportion who wear sensors during in-person assessment when appropriate.
Acceptability of Inertial SensorsImmediately after sensor-wear period (week 2).Measured as the percentage of children who report willingness to wear the sensors again following completion of the sensor wear period.
Convergent Validity of Inertial Sensor Activity CountsDuring the 5-day sensor-wear period and in-person assessment session (weeks 2-3).Assessed using correlation analyses between SHUEE Spontaneous Functional Analysis (SHUEE-SFA) scores and acceleration-derived activity counts and activity-count ratios for the dominant and hemiplegic limb. Activity counts will be derived using (i) an established threshold-based method and (ii) a machine-learning-based classifier, with activity counts from the best-performing classifier used in the correlation analysis.
Performance of Machine-Learning Classifier for Functional Arm UseDuring data analysis following completion of inertial sensor data collectionPerformance of the machine-learning classifier used to classify functional and non-functional arm movements will be evaluated using precision, recall, and F1-score, based on Leave-One-Subject-Out cross-validation.

Countries

Canada

Contacts

CONTACTSelvi Sert, MEng
ssert@hollandbloorview.ca416-425-6220
CONTACTGloria Lee, MSc
glee@hollandbloorview.ca416-425-6220
PRINCIPAL_INVESTIGATORElaine Biddiss, PhD

Holland Bloorview Kids Rehabilitation Hospital, Bloorview Research Institute

PRINCIPAL_INVESTIGATORVirginia Wright, PhD

Holland Bloorview Kids Rehabilitation Hospital, Bloorview Research Institute

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026