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Published in: BMC Medical Informatics and Decision Making 1/2010

Open Access 01-12-2010 | Research article

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

Authors: Monika Kastner, Jamy Li, Danielle Lottridge, Christine Marquez, David Newton, Sharon E Straus

Published in: BMC Medical Informatics and Decision Making | Issue 1/2010

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Abstract

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.
Appendix
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Metadata
Title
Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups
Authors
Monika Kastner
Jamy Li
Danielle Lottridge
Christine Marquez
David Newton
Sharon E Straus
Publication date
01-12-2010
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2010
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/1472-6947-10-40

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