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Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups

BACKGROUND: Osteoporosis affects over 200 million people worldwide, and represents a significant cost burden. Although guidelines are available for best practice in osteoporosis, evidence indicates that patients are not receiving appropriate diagnostic testing or treatment according to guidelines. T...

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Autores principales: Kastner, Monika, Li, Jamy, Lottridge, Danielle, Marquez, Christine, Newton, David, Straus, Sharon E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914714/
https://www.ncbi.nlm.nih.gov/pubmed/20650007
http://dx.doi.org/10.1186/1472-6947-10-40
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author Kastner, Monika
Li, Jamy
Lottridge, Danielle
Marquez, Christine
Newton, David
Straus, Sharon E
author_facet Kastner, Monika
Li, Jamy
Lottridge, Danielle
Marquez, Christine
Newton, David
Straus, Sharon E
author_sort Kastner, Monika
collection PubMed
description BACKGROUND: Osteoporosis affects over 200 million people worldwide, and represents a significant cost burden. Although guidelines are available for best practice in osteoporosis, evidence indicates that patients are not receiving appropriate diagnostic testing or treatment according to guidelines. The use of clinical decision support systems (CDSSs) may be one solution because they can facilitate knowledge translation by providing high-quality evidence at the point of care. Findings from a systematic review of osteoporosis interventions and consultation with clinical and human factors engineering experts were used to develop a conceptual model of an osteoporosis tool. We conducted a qualitative study of focus groups to better understand physicians' perceptions of CDSSs and to transform the conceptual osteoporosis tool into a functional prototype that can support clinical decision making in osteoporosis disease management at the point of care. METHODS: The conceptual design of the osteoporosis tool was tested in 4 progressive focus groups with family physicians and general internists. An iterative strategy was used to qualitatively explore the experiences of physicians with CDSSs; and to find out what features, functions, and evidence should be included in a working prototype. Focus groups were conducted using a semi-structured interview guide using an iterative process where results of the first focus group informed changes to the questions for subsequent focus groups and to the conceptual tool design. Transcripts were transcribed verbatim and analyzed using grounded theory methodology. RESULTS: Of the 3 broad categories of themes that were identified, major barriers related to the accuracy and feasibility of extracting bone mineral density test results and medications from the risk assessment questionnaire; using an electronic input device such as a Tablet PC in the waiting room; and the importance of including well-balanced information in the patient education component of the osteoporosis tool. Suggestions for modifying the tool included the addition of a percentile graph showing patients' 10-year risk for osteoporosis or fractures, and ensuring that the tool takes no more than 5 minutes to complete. CONCLUSIONS: Focus group data revealed the facilitators and barriers to using the osteoporosis tool at the point of care so that it can be optimized to aid physicians in their clinical decision making.
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spelling pubmed-29147142010-08-04 Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups Kastner, Monika Li, Jamy Lottridge, Danielle Marquez, Christine Newton, David Straus, Sharon E BMC Med Inform Decis Mak Research Article BACKGROUND: Osteoporosis affects over 200 million people worldwide, and represents a significant cost burden. Although guidelines are available for best practice in osteoporosis, evidence indicates that patients are not receiving appropriate diagnostic testing or treatment according to guidelines. The use of clinical decision support systems (CDSSs) may be one solution because they can facilitate knowledge translation by providing high-quality evidence at the point of care. Findings from a systematic review of osteoporosis interventions and consultation with clinical and human factors engineering experts were used to develop a conceptual model of an osteoporosis tool. We conducted a qualitative study of focus groups to better understand physicians' perceptions of CDSSs and to transform the conceptual osteoporosis tool into a functional prototype that can support clinical decision making in osteoporosis disease management at the point of care. METHODS: The conceptual design of the osteoporosis tool was tested in 4 progressive focus groups with family physicians and general internists. An iterative strategy was used to qualitatively explore the experiences of physicians with CDSSs; and to find out what features, functions, and evidence should be included in a working prototype. Focus groups were conducted using a semi-structured interview guide using an iterative process where results of the first focus group informed changes to the questions for subsequent focus groups and to the conceptual tool design. Transcripts were transcribed verbatim and analyzed using grounded theory methodology. RESULTS: Of the 3 broad categories of themes that were identified, major barriers related to the accuracy and feasibility of extracting bone mineral density test results and medications from the risk assessment questionnaire; using an electronic input device such as a Tablet PC in the waiting room; and the importance of including well-balanced information in the patient education component of the osteoporosis tool. Suggestions for modifying the tool included the addition of a percentile graph showing patients' 10-year risk for osteoporosis or fractures, and ensuring that the tool takes no more than 5 minutes to complete. CONCLUSIONS: Focus group data revealed the facilitators and barriers to using the osteoporosis tool at the point of care so that it can be optimized to aid physicians in their clinical decision making. BioMed Central 2010-07-22 /pmc/articles/PMC2914714/ /pubmed/20650007 http://dx.doi.org/10.1186/1472-6947-10-40 Text en Copyright ©2010 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 Research Article
Kastner, Monika
Li, Jamy
Lottridge, Danielle
Marquez, Christine
Newton, David
Straus, Sharon E
Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title_full Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title_fullStr Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title_full_unstemmed Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title_short Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
title_sort development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914714/
https://www.ncbi.nlm.nih.gov/pubmed/20650007
http://dx.doi.org/10.1186/1472-6947-10-40
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