سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Farjami Rad, Yasaman, Shahmoradi, Leila, Nakhostin Ansari, Noureddin, Hasson, Scott, Rakhshan, Amir, Ebrahimi, Maryam, Rahmani, Meysam. (1404). The Mobile Applications for Low Back and Neck Pain Therapy: App Review. , 13(12), 788-799. doi: 10.22038/abjs.2024.81799.3724
Yasaman Farjami Rad; Leila Shahmoradi; Noureddin Nakhostin Ansari; Scott Hasson; Amir Rakhshan; Maryam Ebrahimi; Meysam Rahmani. "The Mobile Applications for Low Back and Neck Pain Therapy: App Review". , 13, 12, 1404, 788-799. doi: 10.22038/abjs.2024.81799.3724
Farjami Rad, Yasaman, Shahmoradi, Leila, Nakhostin Ansari, Noureddin, Hasson, Scott, Rakhshan, Amir, Ebrahimi, Maryam, Rahmani, Meysam. (1404). 'The Mobile Applications for Low Back and Neck Pain Therapy: App Review', , 13(12), pp. 788-799. doi: 10.22038/abjs.2024.81799.3724
Farjami Rad, Yasaman, Shahmoradi, Leila, Nakhostin Ansari, Noureddin, Hasson, Scott, Rakhshan, Amir, Ebrahimi, Maryam, Rahmani, Meysam. The Mobile Applications for Low Back and Neck Pain Therapy: App Review. , 1404; 13(12): 788-799. doi: 10.22038/abjs.2024.81799.3724

The Mobile Applications for Low Back and Neck Pain Therapy: App Review

The Archives of Bone and Joint Surgery
مقاله 4، دوره 13، شماره 12، اسفند 2025، صفحه 788-799    اصل مقاله (1 M)
نوع مقاله: CURRENT CONCEPTS REVIEW
شناسه دیجیتال (DOI): 10.22038/abjs.2024.81799.3724
نویسندگان
Yasaman Farjami Rad1؛ Leila Shahmoradi* 2؛ Noureddin Nakhostin Ansari3؛ Scott Hasson4؛ Amir Rakhshan5؛ Maryam Ebrahimi6؛ Meysam Rahmani* 7
1Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran - Health Professions Education Research Center, Tehran University of Medical Sciences, Tehran, Iran - Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
3Department of Physiotherapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran - Research Center for War-affected People, Tehran University of Medical Sciences, Tehran, Iran
4Department of Physical Therapy, Augusta University, Augusta, Georgia, USA
5Department of Foreign Languages, Tehran University of Medical Sciences, Tehran, Iran
6Department of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran- Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran - Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
7Department of Health Information Technology, Saveh University of Medical Sciences, Saveh, Iran
چکیده
This study aimed to assess mobile applications (apps) designed for physiotherapy targeting low back pain (LBP) and neck pain (NP) using the Mobile Application Rating Scale (MARS). The study employed an evaluation design, in which three reviewers conducted searches in English and Persian on Google Play in October 2024 to identify apps related to LBP and NP. After initial screening, the included apps were downloaded and installed on smartphones for further evaluation. The MARS questionnaire was utilized to evaluate apps. The total score obtained from the MARS questionnaire, along with the rating on the Google Play Store, was used to assess the quality and effectiveness of the apps. Eighteen apps, consisting of eight for NP and ten for LBP, were included in this study. Among LBP apps, the application "Back Pain Relief Exercises at Home" received the highest score (3.79/5). Moreover, the app "Lia – AI Posture Trainer" achieved the highest score among NP apps at 4.25/5. The findings showed that the apps available for NP and LBP are limited and low-quality. Given the increasing number of individuals suffering from these conditions, there is a clear need for up-to-date and high-quality software to provide daily patient support. These apps must be developed based on scientific studies and incorporate user feedback.
        Level of evidence: IV
کلیدواژه‌ها
Back pain؛ Digital health؛ Mobile applications؛ Neck pain؛ Software validation
مراجع
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