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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jul 8, 2022
Date Accepted: Sep 2, 2022

The final, peer-reviewed published version of this preprint can be found here:

An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study

Browne JD, Vaninetti M, Giard D, Kostas K, Dave A

An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study

JMIR Form Res 2022;6(10):e40869

DOI: 10.2196/40869

PMID: 36227637

PMCID: 9614628

Evaluation of a Mobile Application for Chronic Low Back Pain Management: Prospective Pilot Study

  • Jonathan D. Browne; 
  • Michael Vaninetti; 
  • David Giard; 
  • Konstantinos Kostas; 
  • Ankur Dave

ABSTRACT

Background:

Chronic low back pain is challenging to manage due to multidisciplinary considerations. It bears substantial socioeconomic impact and cannot be simply treated with pharmacotherapy, nonsurgical intervention, or spine surgery. Medical consensus recommends optimizing conservative, self-management therapies (e.g., home exercise, wellness strategies, yoga, etc.) as first-line treatment options for chronic low back pain. However, access to these modalities is often limited secondary to cost, convenience, and ease of use. Mobile health applications have emerged as a cost-effective and accessible option for chronic low back pain self-management.

Objective:

This was a pilot study evaluating the PainNavigator platform to inform future trial development.

Methods:

75 participants using PainNavigator were studied. PEG-3 and a brief anxiety and depression scale based on the PHQ-4 scores were obtained at baseline and following program completion. PEG-3 total score was used, in addition to individual items, Average Pain, Pain Effect on Enjoyment, and Pain Effect on Activity. PHQ-4 total score was also used, in addition to the individual items including, Felt Depressed, Loss of Interest, Felt Anxious, and Difficult to Control Worry. Paired sample t-tests compared mean differences before and after participants received the intervention.

Results:

The analysis found that PEG-3 (n=27) and PHQ-4 (n=27) total scores were significantly lower upon completion of PainNavigator (P<.001 and P=.001, respectively). The findings show a 36% reduction in PEG-3 total score, 40% reduction in Pain Intensity, and a 40% reduction in PHQ-4 total score. Individual PEG-3 and PHQ-4 items were also significantly decreased. All measures had medium to large effect sizes.

Conclusions:

These findings show that PainNavigator has clinical significance in managing chronic low back pain and can be easily utilized to improve patient care. This study will also inform future randomized controlled trials and quality improvement.


 Citation

Please cite as:

Browne JD, Vaninetti M, Giard D, Kostas K, Dave A

An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study

JMIR Form Res 2022;6(10):e40869

DOI: 10.2196/40869

PMID: 36227637

PMCID: 9614628

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