Developing a Content Model of a Mobile-Based Application to Manage Patients with Low-Back and Neck Pain
Table 5
The final content model created in this study by 33 data elements.
Axis name
Number
Main data elements
Mean
CVR
Exercise-based book
1
Low-back pain exercise 1
4/83
0/83
2
Low-back pain exercise 2
4/83
0/83
3
Low-back pain exercise 3
4/83
0/67
4
Low-back pain exercise 4
4/92
0/67
5
Low-back pain exercise 5
4/92
0/67
6
Low-back pain exercise 6
4/92
0/67
7
Low-back pain exercise 7
4/92
0/67
8
Low-back pain exercise 8
4/92
0/67
9
Neck pain exercise 1
4/92
0/67
10
Neck pain exercise 2
4/92
0/67
11
Neck pain exercise 3
4/92
0/67
Total
4/89
0/79
Pain intensity rating based on FRI
1
Pain intensity
5
1
2
Sleeping
5
1
3
Personal care (washing, dressing, etc.)
5
1
4
Travel (driving, etc.)
5
1
5
Work
5
1
6
Recreation
5
1
7
Frequency of pain
5
1
8
Lifting
5
1
9
Walking
5
1
10
Standing
5
1
Total
5
1
Application capability-based app review
1
The daily exercise section and the exercises prescribed by the physiotherapist
5
1
2
Use animation to show exercises
5
1
3
Using an audio file to explain how to do exercises
5
1
4
Playing background music while doing exercises
4/83
0/66
5
Display the number of exercises performed in the application
4/75
0/83
6
Increase or decrease the number of exercises
4/83
0/66
7
Training for back pain and neck pain
5
1
8
Using text, audio, and video for daily activities
5
1
9
Pain intensity assessment with FRI scale
5
1
10
Report section (number of exercises performed and FRI score)
4/92
0/83
11
The ability to send warnings and reminders along with notes
5
1
12
Access to the application with username and password
5
1
Total
4/94
0/92
Mean: average responses of people regarding the necessity of the item (number between 1 and 5). CVR: the number of experts who declared the item important or very important (scores 4 and 5) divided by the total number of experts.
