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AI Mobile App vs Self Exercises in Workers With Neck Pain

Comparing Efficacy and Adherence of Smartphone-guided Exercises to Conventional Self-directed Exercises for Neck Pain in Office Workers: A Randomized Controlled Trial Protocol

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06485804
Enrollment
34
Registered
2024-07-03
Start date
2024-07-15
Completion date
2024-10-31
Last updated
2024-07-03

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

Conditions

Neck Pain, Work-Related Condition

Keywords

Office Workers, Clinical trial Protocol, Exercise Therapy, Mobile Application, Neck Pain, Patient compliance, Self-management, Workplace

Brief summary

This study aims to compare the impact of two different methods to administer self-exercises in administrative workers with neck pain: an Artificial Intelligence embedded mobile application and written sheet.

Interventions

OTHERSmartphone application guided exercises

Participants in the intervention group will use a smartphone application to execute a self-rehabilitation program. The app will integrate: * Basic information about neck pain and ergonomic advice. * A series of evaluation questions on pain and function. * Appropriate sets of exercises with videos and instructions. * Daily reminders. * Evaluation reports providing feedback and adherence.

Sponsors

Sana Salah
CollaboratorUNKNOWN
Amr Chaabeni
CollaboratorUNKNOWN
University of Monastir
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
30 Years to 63 Years
Healthy volunteers
No

Inclusion criteria

* The presence of a chronic NP lasting for more than three months, and a pain level at baseline assessment ≥ 30 (VAS)

Exclusion criteria

* Acute neck pain, neck pain from specific causes (eg; Chronic inflammatory diseases), spine trauma or surgery, cervical radiculopathy or myelopathy, and physical therapy treatments in the last six months before baseline assessment.

Design outcomes

Primary

MeasureTime frameDescription
Pain intensityPain intensity will be assessed at baseline, and at 4, and 8 weeks of follow-up.Pain intensity assessed using a Visual Analog Scale on a scale from 0 to 100.

Secondary

MeasureTime frameDescription
FunctionFunction will be assessed at baseline, and at 4, and 8 weeks of follow-up.Patient function will be assessed using the neck disability index (NDI). The scale consists of a set of questions addressing various aspects of neck pain and its influence on activities such as personal care, lifting, reading, working, and recreation
Quality of life measureQuality of life will be assessed at baseline, and at 4, and 8 weeks of follow-up.The short form 12 (SF-12) will be used to measure health-related Quality of life. The SF-12 is a shorter version of the short form 36 (SF-36) and is used to assess individual's physical and mental well-being.
Patient adherencePatient adherence will be assessed at 4, and 8 weeks of follow-up.Adherence will be measured using a frequency-based response scale (ie; never, seldom, often, almost always, and always) adapted from the adherence scale of Sluijs et al. (Phys Ther 1993)

Other

MeasureTime frameDescription
Musculoskeletal disordersAssessed at baselineMusculoskeletal disorders comprise: Osteoarthrities, Rheumatic arthritis, Osteoporosis, and Tendinopathies.
GenderAssessed at baselineGender: Female, Male.
Time spent in front of computerAssessed at baselineTime spent in front of computer: average number of daily hours spent in front of computer.
Work seniorityAssessed at baselineWork seniority: Length of work service (years).
AgeAssessed at baselineAge in terms of years
Body mass index (BMI)Assessed at baselineBMI is calculated as follows: BMI = kg/m2 where kg is a person's weight in kilograms and m2 is their height (in metres) squared.
ComorbiditiesAssessed at baselineComorbidities comprise: Diabetes, Hypertension, Thyroid disorders, Cardiovascular and Lung diseases, and Cancer history.

Contacts

Primary ContactAnis Jellad, Professor
anisjellad@gmail.com98210626

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026