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Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol
BACKGROUND: Despite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predicto...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995645/ https://www.ncbi.nlm.nih.gov/pubmed/27553626 http://dx.doi.org/10.1186/s12891-016-1219-0 |
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author | Cherkin, Dan Balderson, Benjamin Brewer, Georgie Cook, Andrea Estlin, Katherine Talbert Evers, Sarah C. Foster, Nadine E. Hill, Jonathan C. Hawkes, Rene Hsu, Clarissa Jensen, Mark LaPorte, Anne-Marie Levine, Martin D. Piekara, Diane Rock, Pam Sherman, Karen Sowden, Gail Wellman, Rob Yeoman, John |
author_facet | Cherkin, Dan Balderson, Benjamin Brewer, Georgie Cook, Andrea Estlin, Katherine Talbert Evers, Sarah C. Foster, Nadine E. Hill, Jonathan C. Hawkes, Rene Hsu, Clarissa Jensen, Mark LaPorte, Anne-Marie Levine, Martin D. Piekara, Diane Rock, Pam Sherman, Karen Sowden, Gail Wellman, Rob Yeoman, John |
author_sort | Cherkin, Dan |
collection | PubMed |
description | BACKGROUND: Despite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predictors of poor outcomes for back pain. A promising new approach that matches treatments to the physical and psychosocial obstacles to recovery, the STarT Back risk stratification approach, improved patients’ physical function while reducing costs of care in the United Kingdom (UK). This trial evaluates implementation of this strategy in a United States (US) healthcare setting. METHODS: Six large primary care clinics in an integrated healthcare system in Washington State were block-randomized, three to receive an intensive quality improvement intervention for back pain and three to serve as controls for secular trends. The intervention included 6 one-hour training sessions for physicians, 5 days of training for physical therapists, individualized and group coaching of clinicians, and integration of the STarT Back tool into the electronic health record. This prognostic tool uses 9 questions to categorize patients at low, medium or high risk of persistent disabling pain with recommendations about evidence-based treatment options appropriate for each subgroup. Patients at least 18 years of age, receiving primary care for non-specific low back pain, were invited to provide data 1–3 weeks after their primary care visit and follow-up data 2 months and 6 months (primary endpoint) later. The primary outcomes are back-related physical function and pain severity. Using an intention to treat approach, intervention effects on patient outcomes will be estimated by comparing mean changes at the 2 and 6 month follow-up between the pre- and post-implementation periods. The inclusion of control clinics permits adjustment for secular trends. Differences in change scores by intervention group and time period will be estimated using linear mixed models with random effects. Secondary outcomes include healthcare utilization and adherence to clinical guidelines. DISCUSSION: This trial will provide the first randomized trial evidence of the clinical effectiveness of implementing risk stratification with matched treatment options for low back pain in a United States health care delivery system. TRIAL REGISTRATION: NCT02286141. Registered November 5, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-016-1219-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4995645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49956452016-08-25 Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol Cherkin, Dan Balderson, Benjamin Brewer, Georgie Cook, Andrea Estlin, Katherine Talbert Evers, Sarah C. Foster, Nadine E. Hill, Jonathan C. Hawkes, Rene Hsu, Clarissa Jensen, Mark LaPorte, Anne-Marie Levine, Martin D. Piekara, Diane Rock, Pam Sherman, Karen Sowden, Gail Wellman, Rob Yeoman, John BMC Musculoskelet Disord Study Protocol BACKGROUND: Despite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predictors of poor outcomes for back pain. A promising new approach that matches treatments to the physical and psychosocial obstacles to recovery, the STarT Back risk stratification approach, improved patients’ physical function while reducing costs of care in the United Kingdom (UK). This trial evaluates implementation of this strategy in a United States (US) healthcare setting. METHODS: Six large primary care clinics in an integrated healthcare system in Washington State were block-randomized, three to receive an intensive quality improvement intervention for back pain and three to serve as controls for secular trends. The intervention included 6 one-hour training sessions for physicians, 5 days of training for physical therapists, individualized and group coaching of clinicians, and integration of the STarT Back tool into the electronic health record. This prognostic tool uses 9 questions to categorize patients at low, medium or high risk of persistent disabling pain with recommendations about evidence-based treatment options appropriate for each subgroup. Patients at least 18 years of age, receiving primary care for non-specific low back pain, were invited to provide data 1–3 weeks after their primary care visit and follow-up data 2 months and 6 months (primary endpoint) later. The primary outcomes are back-related physical function and pain severity. Using an intention to treat approach, intervention effects on patient outcomes will be estimated by comparing mean changes at the 2 and 6 month follow-up between the pre- and post-implementation periods. The inclusion of control clinics permits adjustment for secular trends. Differences in change scores by intervention group and time period will be estimated using linear mixed models with random effects. Secondary outcomes include healthcare utilization and adherence to clinical guidelines. DISCUSSION: This trial will provide the first randomized trial evidence of the clinical effectiveness of implementing risk stratification with matched treatment options for low back pain in a United States health care delivery system. TRIAL REGISTRATION: NCT02286141. Registered November 5, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-016-1219-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-24 /pmc/articles/PMC4995645/ /pubmed/27553626 http://dx.doi.org/10.1186/s12891-016-1219-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Study Protocol Cherkin, Dan Balderson, Benjamin Brewer, Georgie Cook, Andrea Estlin, Katherine Talbert Evers, Sarah C. Foster, Nadine E. Hill, Jonathan C. Hawkes, Rene Hsu, Clarissa Jensen, Mark LaPorte, Anne-Marie Levine, Martin D. Piekara, Diane Rock, Pam Sherman, Karen Sowden, Gail Wellman, Rob Yeoman, John Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title | Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title_full | Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title_fullStr | Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title_full_unstemmed | Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title_short | Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol |
title_sort | evaluation of a risk-stratification strategy to improve primary care for low back pain: the match cluster randomized trial protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995645/ https://www.ncbi.nlm.nih.gov/pubmed/27553626 http://dx.doi.org/10.1186/s12891-016-1219-0 |
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