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Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results
BACKGROUND: Even though modern concepts of disease management of unspecific low back pain (LBP) postulate active participation of patients, this strategy is difficult to adapt unless multidisciplinary pain therapy is applied. Recently, mobile health solutions have proven to be effective aides to fos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735251/ https://www.ncbi.nlm.nih.gov/pubmed/29203460 http://dx.doi.org/10.2196/rehab.9032 |
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author | Huber, Stephan Priebe, Janosch A Baumann, Kaja-Maria Plidschun, Anne Schiessl, Christine Tölle, Thomas R |
author_facet | Huber, Stephan Priebe, Janosch A Baumann, Kaja-Maria Plidschun, Anne Schiessl, Christine Tölle, Thomas R |
author_sort | Huber, Stephan |
collection | PubMed |
description | BACKGROUND: Even though modern concepts of disease management of unspecific low back pain (LBP) postulate active participation of patients, this strategy is difficult to adapt unless multidisciplinary pain therapy is applied. Recently, mobile health solutions have proven to be effective aides to foster self-management of many diseases. OBJECTIVE: The objective of this paper was to report on the retrospective short-term results of a digital multidisciplinary pain app for the treatment of LBP. METHODS: Kaia is a mobile app that digitalizes multidisciplinary pain treatment and is in the market as a medical product class I. For the current study, the data of anonymized Kaia users was retrospectively analyzed. User data were evaluated for 12 weeks regarding duration of use and effect on in-app user reported pain levels, using the numerical rating scale (NRS), depending on whether LBP was classified as acute, subacute, or chronic back pain according to current guidelines. RESULTS: Data of 180 users were available. The mean age of the users was 33.9 years (SD 10.9). Pain levels decreased from baseline NRS 4.8 to 3.75 for all users at the end of the observation period. Users who completed 4, 8, or 12 weeks showed an even more pronounced decrease in pain level NRS (baseline 4.9 [SD 1.7] versus 3.6 [SD 1.5] at 4 weeks; baseline 4.7 [SD 1.8] versus 3.2 [SD [2.0] at 8 weeks; baseline 4.6 [SD 2.2] versus 2.6 [SD 2.0] at 12 weeks). In addition, subgroup analysis of acute, subacute, or chronic classification revealed no significant main effect of group (P>.30) on the reduction of pain. Conclusions: This retrospective study showed that in a pre-selected population of app users, an app digitalizing multidisciplinary rehabilitation for the self-management of LBP reduced user-reported pain levels significantly. The observed effect size was clinically relevant. Ongoing prospective randomized controlled trials (RCTs) will adjust for potential bias and selection effects. CONCLUSIONS: This retrospective study showed that in a pre-selected population of app users, an app digitalizing multidisciplinary rehabilitation for the self-management of LBP reduced user-reported pain levels significantly. The observed effect size was clinically relevant. Ongoing prospective RCTs will adjust for potential bias and selection effects. |
format | Online Article Text |
id | pubmed-5735251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-57352512017-12-22 Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results Huber, Stephan Priebe, Janosch A Baumann, Kaja-Maria Plidschun, Anne Schiessl, Christine Tölle, Thomas R JMIR Rehabil Assist Technol Original Paper BACKGROUND: Even though modern concepts of disease management of unspecific low back pain (LBP) postulate active participation of patients, this strategy is difficult to adapt unless multidisciplinary pain therapy is applied. Recently, mobile health solutions have proven to be effective aides to foster self-management of many diseases. OBJECTIVE: The objective of this paper was to report on the retrospective short-term results of a digital multidisciplinary pain app for the treatment of LBP. METHODS: Kaia is a mobile app that digitalizes multidisciplinary pain treatment and is in the market as a medical product class I. For the current study, the data of anonymized Kaia users was retrospectively analyzed. User data were evaluated for 12 weeks regarding duration of use and effect on in-app user reported pain levels, using the numerical rating scale (NRS), depending on whether LBP was classified as acute, subacute, or chronic back pain according to current guidelines. RESULTS: Data of 180 users were available. The mean age of the users was 33.9 years (SD 10.9). Pain levels decreased from baseline NRS 4.8 to 3.75 for all users at the end of the observation period. Users who completed 4, 8, or 12 weeks showed an even more pronounced decrease in pain level NRS (baseline 4.9 [SD 1.7] versus 3.6 [SD 1.5] at 4 weeks; baseline 4.7 [SD 1.8] versus 3.2 [SD [2.0] at 8 weeks; baseline 4.6 [SD 2.2] versus 2.6 [SD 2.0] at 12 weeks). In addition, subgroup analysis of acute, subacute, or chronic classification revealed no significant main effect of group (P>.30) on the reduction of pain. Conclusions: This retrospective study showed that in a pre-selected population of app users, an app digitalizing multidisciplinary rehabilitation for the self-management of LBP reduced user-reported pain levels significantly. The observed effect size was clinically relevant. Ongoing prospective randomized controlled trials (RCTs) will adjust for potential bias and selection effects. CONCLUSIONS: This retrospective study showed that in a pre-selected population of app users, an app digitalizing multidisciplinary rehabilitation for the self-management of LBP reduced user-reported pain levels significantly. The observed effect size was clinically relevant. Ongoing prospective RCTs will adjust for potential bias and selection effects. JMIR Publications 2017-12-04 /pmc/articles/PMC5735251/ /pubmed/29203460 http://dx.doi.org/10.2196/rehab.9032 Text en ©Stephan Huber, Janosch A Priebe, Kaja-Maria Baumann, Anne Plidschun, Christine Schiessl, Thomas R Tölle. Originally published in JMIR Rehabilitation and Assistive Technology (http://rehab.jmir.org), 04.12.2017. 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 Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on http://rehab.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Huber, Stephan Priebe, Janosch A Baumann, Kaja-Maria Plidschun, Anne Schiessl, Christine Tölle, Thomas R Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title | Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title_full | Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title_fullStr | Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title_full_unstemmed | Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title_short | Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results |
title_sort | treatment of low back pain with a digital multidisciplinary pain treatment app: short-term results |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735251/ https://www.ncbi.nlm.nih.gov/pubmed/29203460 http://dx.doi.org/10.2196/rehab.9032 |
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