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| Name | Class |
|---|---|
| Sana Salah | UNKNOWN |
| Amr Chaabeni | UNKNOWN |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention group | Experimental | Participants in the intervention group will use a smartphone application which will provide an individualized exercises program. |
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| Control group | No Intervention | Participants in the control group will receive a rehabilitation program delivered on a paper sheet containing pictures of exercises with written explanations in French, including the number of sets and repetitions |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smartphone application guided exercises | Other | Participants in the intervention group will use a smartphone application to execute a self-rehabilitation program. The app will integrate:
|
| Measure | Description | Time Frame |
|---|---|---|
| Pain intensity | Pain intensity assessed using a Visual Analog Scale on a scale from 0 to 100. | Pain intensity will be assessed at baseline, and at 4, and 8 weeks of follow-up. |
| Measure | Description | Time Frame |
|---|---|---|
| Function | 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 | Function will be assessed at baseline, and at 4, and 8 weeks of follow-up. |
| Measure | Description | Time Frame |
|---|---|---|
| Gender | Gender: Female, Male. | Assessed at baseline |
| Age | Age in terms of years | Assessed at baseline |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anis Jellad, Professor | Contact | 98210626 | anisjellad@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Sana Salah, Professor | University of Monastir | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40971708 | Derived | Salah S, Jellad A, Mili M, Chaabeni A, Bedoui MH, Ben Saad H. Comparing efficacy and adherence of smartphone-guided exercises to conventional self-directed exercises for neck pain in office workers: A randomized controlled trial protocol. PLoS One. 2025 Sep 19;20(9):e0329863. doi: 10.1371/journal.pone.0329863. eCollection 2025. |
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| ID | Term |
|---|---|
| D019547 | Neck Pain |
| D010349 | Patient Compliance |
| ID | Term |
|---|---|
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| Quality of life measure |
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. |
| Quality of life will be assessed at baseline, and at 4, and 8 weeks of follow-up. |
| Patient adherence | 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) | Patient adherence will be assessed at 4, and 8 weeks of follow-up. |
| Body mass index (BMI) | BMI is calculated as follows: BMI = kg/m2 where kg is a person's weight in kilograms and m2 is their height (in metres) squared. | Assessed at baseline |
| Comorbidities | Comorbidities comprise: Diabetes, Hypertension, Thyroid disorders, Cardiovascular and Lung diseases, and Cancer history. | Assessed at baseline |
| Musculoskeletal disorders | Musculoskeletal disorders comprise: Osteoarthrities, Rheumatic arthritis, Osteoporosis, and Tendinopathies. | Assessed at baseline |
| Work seniority | Work seniority: Length of work service (years). | Assessed at baseline |
| Time spent in front of computer | Time spent in front of computer: average number of daily hours spent in front of computer. | Assessed at baseline |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |