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A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up
BACKGROUND: Very few of the publicly available apps directed towards self-management of low back pain (LBP) have been rigorously tested and their theoretical underpinnings seldom described. The selfBACK app was developed in collaboration with end-users and clinicians and its content is supported by...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245029/ https://www.ncbi.nlm.nih.gov/pubmed/32489674 http://dx.doi.org/10.1186/s40814-020-00604-2 |
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author | Sandal, Louise Fleng Øverås, Cecilie K. Nordstoga, Anne Lovise Wood, Karen Bach, Kerstin Hartvigsen, Jan Søgaard, Karen Mork, Paul Jarle |
author_facet | Sandal, Louise Fleng Øverås, Cecilie K. Nordstoga, Anne Lovise Wood, Karen Bach, Kerstin Hartvigsen, Jan Søgaard, Karen Mork, Paul Jarle |
author_sort | Sandal, Louise Fleng |
collection | PubMed |
description | BACKGROUND: Very few of the publicly available apps directed towards self-management of low back pain (LBP) have been rigorously tested and their theoretical underpinnings seldom described. The selfBACK app was developed in collaboration with end-users and clinicians and its content is supported by best evidence on self-management of LBP. The objectives of this pilot study were to investigate the basis for recruitment and screening procedures for the subsequent randomized controlled trial (RCT), to test the inclusion process in relation to questionnaires and app installation, and finally to investigate the change in primary outcome over time. METHODS: This single-armed pilot study enrolled 51 participants who had sought help for LBP of any duration from primary care (physiotherapy, chiropractic, or general practice) within the past 8 weeks. Participants were screened for eligibility using the PROMIS-Physical-Function-4a questionnaire. Participants were asked to use the selfBACK app for 6 weeks. The app provided weekly tailored self-management plans targeting physical activity, strength and flexibility exercises, and education. The construction of the self-management plans was achieved using case-based reasoning (CBR) methodology to capture and reuse information from previous successful cases. Participants completed the primary outcome pain-related disability (Roland-Morris Disability Questionnaire [RMDQ]) at baseline and 6-week follow-up along with a range of secondary outcomes. Metrics of app use were collected throughout the intervention period. RESULTS: Follow-up data at 6 weeks was obtained for 43 participants. The recruitment procedures were feasible, and the number needed to screen was acceptable (i.e., 1.6:1). The screening questionnaire was altered during the pilot study. The inclusion process, answering questionnaires and app installation, were feasible. The primary outcome (RMDQ) improved from 8.6 (SD 5.1) at baseline to 5.9 (SD 4.0) at 6-week follow-up (change score 1.8, 95% CI 0.7 to 2.9). Participants spent on average 134 min (range 0–889 min) using the app during the 6-week period. CONCLUSION: The recruitment, screening, and inclusion procedures were feasible for the subsequent RCT with a small adjustment. The improvement on the RMDQ from baseline to follow-up was small. Time pattern of app usage varied considerably between the participants. TRIAL REGISTRATION: NCT03697759. Registered on August 10, 2018. https://clinicaltrials.gov/ct2/show/NCT03697759 |
format | Online Article Text |
id | pubmed-7245029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72450292020-06-01 A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up Sandal, Louise Fleng Øverås, Cecilie K. Nordstoga, Anne Lovise Wood, Karen Bach, Kerstin Hartvigsen, Jan Søgaard, Karen Mork, Paul Jarle Pilot Feasibility Stud Research BACKGROUND: Very few of the publicly available apps directed towards self-management of low back pain (LBP) have been rigorously tested and their theoretical underpinnings seldom described. The selfBACK app was developed in collaboration with end-users and clinicians and its content is supported by best evidence on self-management of LBP. The objectives of this pilot study were to investigate the basis for recruitment and screening procedures for the subsequent randomized controlled trial (RCT), to test the inclusion process in relation to questionnaires and app installation, and finally to investigate the change in primary outcome over time. METHODS: This single-armed pilot study enrolled 51 participants who had sought help for LBP of any duration from primary care (physiotherapy, chiropractic, or general practice) within the past 8 weeks. Participants were screened for eligibility using the PROMIS-Physical-Function-4a questionnaire. Participants were asked to use the selfBACK app for 6 weeks. The app provided weekly tailored self-management plans targeting physical activity, strength and flexibility exercises, and education. The construction of the self-management plans was achieved using case-based reasoning (CBR) methodology to capture and reuse information from previous successful cases. Participants completed the primary outcome pain-related disability (Roland-Morris Disability Questionnaire [RMDQ]) at baseline and 6-week follow-up along with a range of secondary outcomes. Metrics of app use were collected throughout the intervention period. RESULTS: Follow-up data at 6 weeks was obtained for 43 participants. The recruitment procedures were feasible, and the number needed to screen was acceptable (i.e., 1.6:1). The screening questionnaire was altered during the pilot study. The inclusion process, answering questionnaires and app installation, were feasible. The primary outcome (RMDQ) improved from 8.6 (SD 5.1) at baseline to 5.9 (SD 4.0) at 6-week follow-up (change score 1.8, 95% CI 0.7 to 2.9). Participants spent on average 134 min (range 0–889 min) using the app during the 6-week period. CONCLUSION: The recruitment, screening, and inclusion procedures were feasible for the subsequent RCT with a small adjustment. The improvement on the RMDQ from baseline to follow-up was small. Time pattern of app usage varied considerably between the participants. TRIAL REGISTRATION: NCT03697759. Registered on August 10, 2018. https://clinicaltrials.gov/ct2/show/NCT03697759 BioMed Central 2020-05-23 /pmc/articles/PMC7245029/ /pubmed/32489674 http://dx.doi.org/10.1186/s40814-020-00604-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sandal, Louise Fleng Øverås, Cecilie K. Nordstoga, Anne Lovise Wood, Karen Bach, Kerstin Hartvigsen, Jan Søgaard, Karen Mork, Paul Jarle A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title | A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title_full | A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title_fullStr | A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title_full_unstemmed | A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title_short | A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up |
title_sort | digital decision support system (selfback) for improved self-management of low back pain: a pilot study with 6-week follow-up |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245029/ https://www.ncbi.nlm.nih.gov/pubmed/32489674 http://dx.doi.org/10.1186/s40814-020-00604-2 |
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