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Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design

BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines on assessing and managing osteoporosis are available, many patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteopo...

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Autores principales: Kastner, Monika, Sawka, Anna, Thorpe, Kevin, Chignel, Mark, Marquez, Christine, Newton, David, Straus, Sharon E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3152529/
https://www.ncbi.nlm.nih.gov/pubmed/21781318
http://dx.doi.org/10.1186/1748-5908-6-77
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author Kastner, Monika
Sawka, Anna
Thorpe, Kevin
Chignel, Mark
Marquez, Christine
Newton, David
Straus, Sharon E
author_facet Kastner, Monika
Sawka, Anna
Thorpe, Kevin
Chignel, Mark
Marquez, Christine
Newton, David
Straus, Sharon E
author_sort Kastner, Monika
collection PubMed
description BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines on assessing and managing osteoporosis are available, many patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions, a series of mixed-methods studies, and advice from experts in osteoporosis and human-factors engineering were used collectively to develop a multicomponent tool (targeted to family physicians and patients at risk for osteoporosis) that may support clinical decision making in osteoporosis disease management at the point of care. METHODS: A three-phased approach will be used to evaluate the osteoporosis tool. In phase 1, the tool will be implemented in three family practices. It will involve ensuring optimal functioning of the tool while minimizing disruption to usual practice. In phase 2, the tool will be pilot tested in a quasi-experimental interrupted time series (ITS) design to determine if it can improve osteoporosis disease management at the point of care. Phase 3 will involve conducting a qualitative postintervention follow-up study to better understand participants' experiences and perceived utility of the tool and readiness to adopt the tool at the point of care. DISCUSSION: The osteoporosis tool has the potential to make several contributions to the development and evaluation of complex, chronic disease interventions, such as the inclusion of an implementation strategy prior to conducting an evaluation study. Anticipated benefits of the tool may be to increase awareness for patients about osteoporosis and its associated risks and provide an opportunity to discuss a management plan with their physician, which may all facilitate patient self-management.
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spelling pubmed-31525292011-08-09 Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design Kastner, Monika Sawka, Anna Thorpe, Kevin Chignel, Mark Marquez, Christine Newton, David Straus, Sharon E Implement Sci Study Protocol BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines on assessing and managing osteoporosis are available, many patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions, a series of mixed-methods studies, and advice from experts in osteoporosis and human-factors engineering were used collectively to develop a multicomponent tool (targeted to family physicians and patients at risk for osteoporosis) that may support clinical decision making in osteoporosis disease management at the point of care. METHODS: A three-phased approach will be used to evaluate the osteoporosis tool. In phase 1, the tool will be implemented in three family practices. It will involve ensuring optimal functioning of the tool while minimizing disruption to usual practice. In phase 2, the tool will be pilot tested in a quasi-experimental interrupted time series (ITS) design to determine if it can improve osteoporosis disease management at the point of care. Phase 3 will involve conducting a qualitative postintervention follow-up study to better understand participants' experiences and perceived utility of the tool and readiness to adopt the tool at the point of care. DISCUSSION: The osteoporosis tool has the potential to make several contributions to the development and evaluation of complex, chronic disease interventions, such as the inclusion of an implementation strategy prior to conducting an evaluation study. Anticipated benefits of the tool may be to increase awareness for patients about osteoporosis and its associated risks and provide an opportunity to discuss a management plan with their physician, which may all facilitate patient self-management. BioMed Central 2011-07-22 /pmc/articles/PMC3152529/ /pubmed/21781318 http://dx.doi.org/10.1186/1748-5908-6-77 Text en Copyright ©2011 Kastner et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Kastner, Monika
Sawka, Anna
Thorpe, Kevin
Chignel, Mark
Marquez, Christine
Newton, David
Straus, Sharon E
Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title_full Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title_fullStr Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title_full_unstemmed Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title_short Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
title_sort evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3152529/
https://www.ncbi.nlm.nih.gov/pubmed/21781318
http://dx.doi.org/10.1186/1748-5908-6-77
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