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

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Summary

Mobile apps for low back pain (LBP) and neck pain (NP) physiotherapy are limited and low-quality. New, evidence-based apps are needed to support patients with these common conditions.

Keywords:
Back painDigital healthMobile applicationsNeck painSoftware validation

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Area of Science:

  • Digital health
  • Physiotherapy applications
  • Musculoskeletal pain management

Background:

  • Low back pain (LBP) and neck pain (NP) are prevalent conditions requiring accessible management solutions.
  • Mobile applications offer a potential platform for delivering physiotherapy interventions.
  • Assessing the quality of existing digital health tools is crucial for patient care.

Purpose of the Study:

  • To evaluate the quality and effectiveness of mobile applications for LBP and NP physiotherapy.
  • To identify high-scoring apps for LBP and NP management.
  • To highlight the need for improved digital health resources in physiotherapy.

Main Methods:

  • A systematic search of Google Play Store was conducted for LBP and NP physiotherapy apps.
  • The Mobile Application Rating Scale (MARS) was used by three reviewers to assess app quality.
  • App ratings from the Google Play Store were also considered.

Main Results:

  • Eighteen apps (10 for LBP, 8 for NP) were included in the evaluation.
  • "Back Pain Relief Exercises at Home" scored highest for LBP (3.79/5).
  • "Lia - AI Posture Trainer" scored highest for NP (4.25/5).

Conclusions:

  • Current mobile applications for LBP and NP physiotherapy are generally limited and of low quality.
  • There is a significant need for high-quality, evidence-based mobile health applications to support patients.
  • Future app development should prioritize scientific validity and user feedback for LBP and NP management.