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

BACKGROUND: Chronic low back pain is challenging to manage due to multidisciplinary considerations. It has substantial socioeconomic impacts and cannot be simply treated with pharmacotherapy, nonsurgical intervention, or spine surgery. Medical consensus recommends optimizing conservative self-manage...

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Autores principales: Browne, Jonathan D, Vaninetti, Michael, Giard, David, Kostas, Konstantinos, Dave, Ankur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614628/
https://www.ncbi.nlm.nih.gov/pubmed/36227637
http://dx.doi.org/10.2196/40869
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author Browne, Jonathan D
Vaninetti, Michael
Giard, David
Kostas, Konstantinos
Dave, Ankur
author_facet Browne, Jonathan D
Vaninetti, Michael
Giard, David
Kostas, Konstantinos
Dave, Ankur
author_sort Browne, Jonathan D
collection PubMed
description BACKGROUND: Chronic low back pain is challenging to manage due to multidisciplinary considerations. It has substantial socioeconomic impacts and cannot be simply treated with pharmacotherapy, nonsurgical intervention, or spine surgery. Medical consensus recommends optimizing conservative self-management therapies (eg, home exercise, wellness strategies, yoga, etc) as first-line treatment options for chronic low back pain. However, access to these modalities is often limited and secondary to cost, convenience, and ease of use. Mobile health apps have emerged as a cost-effective and accessible option for chronic low back pain self-management. Established in-person pain programs can provide the structure for an optimal mobile app adaptation. PainNavigator (PainNavigator, Inc) is an example of a mobile app that is based on an Ascension-Illinois group–based pain program—Pain Rehabilitation Outpatient-Camp. OBJECTIVE: This was a prospective pilot clinical trial that evaluated the PainNavigator platform’s utility in low back pain management to inform future trial development. METHODS: A total of 75 participants who used PainNavigator were studied. Pain, Enjoyment, and General Activity (PEG-3) scale scores and scores from a brief anxiety and depression scale based on the Patient Health Questionnaire-4 (PHQ-4) were obtained at baseline and following program completion. The PEG-3 total score was used, in addition to individual items—Average Pain, Pain Effect on Enjoyment, and Pain Effect on Activity. The PHQ-4 total score was also used, in addition to other individual items, including Felt Depressed, Loss of Interest, Felt Anxious, and Difficult to Control Worry. Paired sample t tests (2-tailed) compared mean differences in scores from 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 the completion of PainNavigator (P<.001 and P=.001, respectively). The findings showed a 36% reduction in PEG-3 total scores, a 40% reduction in pain intensity, and a 40% reduction in PHQ-4 total scores. Scores for individual PEG-3 scale and PHQ-4 items also significantly decreased. All PEG-3 measures had large effect sizes. The PHQ-4 total score and Difficult to Control Worry item had large effect sizes, while the other three measures had medium 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. All PEG-3 scale and PHQ-4 measures significantly improved following the use of the platform, supporting the multidimensional, biopsychosocial approach to low back pain management. Differences in effect sizes may inform quality improvement investigations, such as optimizing features that impact measures with only medium effect sizes. This feasibility study demonstrates an effective protocol, and it will inform future, more extensive randomized controlled trials.
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spelling pubmed-96146282022-10-29 An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study Browne, Jonathan D Vaninetti, Michael Giard, David Kostas, Konstantinos Dave, Ankur JMIR Form Res Original Paper BACKGROUND: Chronic low back pain is challenging to manage due to multidisciplinary considerations. It has substantial socioeconomic impacts and cannot be simply treated with pharmacotherapy, nonsurgical intervention, or spine surgery. Medical consensus recommends optimizing conservative self-management therapies (eg, home exercise, wellness strategies, yoga, etc) as first-line treatment options for chronic low back pain. However, access to these modalities is often limited and secondary to cost, convenience, and ease of use. Mobile health apps have emerged as a cost-effective and accessible option for chronic low back pain self-management. Established in-person pain programs can provide the structure for an optimal mobile app adaptation. PainNavigator (PainNavigator, Inc) is an example of a mobile app that is based on an Ascension-Illinois group–based pain program—Pain Rehabilitation Outpatient-Camp. OBJECTIVE: This was a prospective pilot clinical trial that evaluated the PainNavigator platform’s utility in low back pain management to inform future trial development. METHODS: A total of 75 participants who used PainNavigator were studied. Pain, Enjoyment, and General Activity (PEG-3) scale scores and scores from a brief anxiety and depression scale based on the Patient Health Questionnaire-4 (PHQ-4) were obtained at baseline and following program completion. The PEG-3 total score was used, in addition to individual items—Average Pain, Pain Effect on Enjoyment, and Pain Effect on Activity. The PHQ-4 total score was also used, in addition to other individual items, including Felt Depressed, Loss of Interest, Felt Anxious, and Difficult to Control Worry. Paired sample t tests (2-tailed) compared mean differences in scores from 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 the completion of PainNavigator (P<.001 and P=.001, respectively). The findings showed a 36% reduction in PEG-3 total scores, a 40% reduction in pain intensity, and a 40% reduction in PHQ-4 total scores. Scores for individual PEG-3 scale and PHQ-4 items also significantly decreased. All PEG-3 measures had large effect sizes. The PHQ-4 total score and Difficult to Control Worry item had large effect sizes, while the other three measures had medium 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. All PEG-3 scale and PHQ-4 measures significantly improved following the use of the platform, supporting the multidimensional, biopsychosocial approach to low back pain management. Differences in effect sizes may inform quality improvement investigations, such as optimizing features that impact measures with only medium effect sizes. This feasibility study demonstrates an effective protocol, and it will inform future, more extensive randomized controlled trials. JMIR Publications 2022-10-13 /pmc/articles/PMC9614628/ /pubmed/36227637 http://dx.doi.org/10.2196/40869 Text en ©Jonathan D Browne, Michael Vaninetti, David Giard, Konstantinos Kostas, Ankur Dave. Originally published in JMIR Formative Research (https://formative.jmir.org), 13.10.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Browne, Jonathan D
Vaninetti, Michael
Giard, David
Kostas, Konstantinos
Dave, Ankur
An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title_full An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title_fullStr An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title_full_unstemmed An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title_short An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
title_sort evaluation of a mobile app for chronic low back pain management: prospective pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614628/
https://www.ncbi.nlm.nih.gov/pubmed/36227637
http://dx.doi.org/10.2196/40869
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