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Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol

BACKGROUND: Low back pain is one of the most common and disabling health problems in Canada and internationally. In most cases, low back pain is a benign, self-limiting condition that can be managed with little diagnostic investigation or treatment. Yet contrary to clinical practice guideline recomm...

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Autores principales: Hayden, Jill A., Ogilvie, Rachel, Stewart, Samuel Alan, French, Simon, Campbell, Samuel, Magee, Kirk, Slipp, Patrick, Wells, George, Stiell, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460553/
https://www.ncbi.nlm.nih.gov/pubmed/31093571
http://dx.doi.org/10.1186/s41512-019-0047-8
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author Hayden, Jill A.
Ogilvie, Rachel
Stewart, Samuel Alan
French, Simon
Campbell, Samuel
Magee, Kirk
Slipp, Patrick
Wells, George
Stiell, Ian
author_facet Hayden, Jill A.
Ogilvie, Rachel
Stewart, Samuel Alan
French, Simon
Campbell, Samuel
Magee, Kirk
Slipp, Patrick
Wells, George
Stiell, Ian
author_sort Hayden, Jill A.
collection PubMed
description BACKGROUND: Low back pain is one of the most common and disabling health problems in Canada and internationally. In most cases, low back pain is a benign, self-limiting condition that can be managed with little diagnostic investigation or treatment. Yet contrary to clinical practice guideline recommendations, diagnostic imaging (here meaning X-ray, MRI, CT) is commonly used in the assessment of low back pain. Diagnostic imaging is of limited value in most cases, exposing patients to unnecessary radiation and leading to increased health services use and worse patient health outcomes. The Choosing Wisely campaign has highlighted the need to reduce diagnostic imaging for low back pain; however, no clinical decision rules are available. METHODS: This project will develop a clinical decision support tool for appropriate use of diagnostic imaging for patients with low back pain in the emergency department. We will conduct a prospective cohort study at five Canadian emergency departments. The study will follow recommendations for prediction model development and testing. The study population will be 4000 patients presenting to the emergency department with low back pain. We will assess potential clinical indications of emergent-cause (i.e., “red flag” items), including clinical characteristics and past history. Our outcome, emergent-cause for low back pain such as fracture, cancer, infection, or cauda equina syndrome, will be assessed at discharge and at 1-, 3-, and 12-month follow-up periods using information from self-report and health administrative data. We will construct and assess the performance of a multivariable prediction model that has strong measurement properties, presented as a clinical decision support tool acceptable to knowledge users. DISCUSSION: Practice guidelines describe “red flags” for which diagnostic imaging is likely appropriate. However, recommendations across guidelines are discordant, and few studies have evaluated these criteria to determine which characteristics best predict emergent etiology that warrant diagnostic imaging. A clinical decision support tool, that recommends diagnostic imaging where appropriate, has the potential to improve clinical care and patient outcomes and reduce costs associated with managing low back pain patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41512-019-0047-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-64605532019-05-15 Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol Hayden, Jill A. Ogilvie, Rachel Stewart, Samuel Alan French, Simon Campbell, Samuel Magee, Kirk Slipp, Patrick Wells, George Stiell, Ian Diagn Progn Res Protocol BACKGROUND: Low back pain is one of the most common and disabling health problems in Canada and internationally. In most cases, low back pain is a benign, self-limiting condition that can be managed with little diagnostic investigation or treatment. Yet contrary to clinical practice guideline recommendations, diagnostic imaging (here meaning X-ray, MRI, CT) is commonly used in the assessment of low back pain. Diagnostic imaging is of limited value in most cases, exposing patients to unnecessary radiation and leading to increased health services use and worse patient health outcomes. The Choosing Wisely campaign has highlighted the need to reduce diagnostic imaging for low back pain; however, no clinical decision rules are available. METHODS: This project will develop a clinical decision support tool for appropriate use of diagnostic imaging for patients with low back pain in the emergency department. We will conduct a prospective cohort study at five Canadian emergency departments. The study will follow recommendations for prediction model development and testing. The study population will be 4000 patients presenting to the emergency department with low back pain. We will assess potential clinical indications of emergent-cause (i.e., “red flag” items), including clinical characteristics and past history. Our outcome, emergent-cause for low back pain such as fracture, cancer, infection, or cauda equina syndrome, will be assessed at discharge and at 1-, 3-, and 12-month follow-up periods using information from self-report and health administrative data. We will construct and assess the performance of a multivariable prediction model that has strong measurement properties, presented as a clinical decision support tool acceptable to knowledge users. DISCUSSION: Practice guidelines describe “red flags” for which diagnostic imaging is likely appropriate. However, recommendations across guidelines are discordant, and few studies have evaluated these criteria to determine which characteristics best predict emergent etiology that warrant diagnostic imaging. A clinical decision support tool, that recommends diagnostic imaging where appropriate, has the potential to improve clinical care and patient outcomes and reduce costs associated with managing low back pain patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41512-019-0047-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-14 /pmc/articles/PMC6460553/ /pubmed/31093571 http://dx.doi.org/10.1186/s41512-019-0047-8 Text en © The Author(s) 2019 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 Protocol
Hayden, Jill A.
Ogilvie, Rachel
Stewart, Samuel Alan
French, Simon
Campbell, Samuel
Magee, Kirk
Slipp, Patrick
Wells, George
Stiell, Ian
Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title_full Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title_fullStr Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title_full_unstemmed Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title_short Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
title_sort development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460553/
https://www.ncbi.nlm.nih.gov/pubmed/31093571
http://dx.doi.org/10.1186/s41512-019-0047-8
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