Inpatient clinicians’ approach to diagnosis of urinary tract infections in older adults using the COM-B model: a qualitative assessment Article Swipe
Sonali D. Advani
,
Nathan A. Boucher
,
Alison Smith
,
Connor R Deri
,
Jillian E Hayes
,
Rebekah Wrenn
,
Kenneth E. Schmader
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1017/ash.2024.401
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1017/ash.2024.401
Our interviews of inpatient clinicians (physicians, physician assistants) modeled after the Capability, Opportunity, and Motivation Model of Behavior model revealed opportunity and motivation as important drivers for overdiagnosis and overprescribing for asymptomatic bacteriuria in older adults. Understanding these barriers is an important step toward implementing age-friendly stewardship interventions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1017/ash.2024.401
- OA Status
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- References
- 10
- Related Works
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- OpenAlex ID
- https://openalex.org/W4402620304
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4402620304Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1017/ash.2024.401Digital Object Identifier
- Title
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Inpatient clinicians’ approach to diagnosis of urinary tract infections in older adults using the COM-B model: a qualitative assessmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Sonali D. Advani, Nathan A. Boucher, Alison Smith, Connor R Deri, Jillian E Hayes, Rebekah Wrenn, Kenneth E. SchmaderList of authors in order
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https://doi.org/10.1017/ash.2024.401Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1017/ash.2024.401Direct OA link when available
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Overdiagnosis, Psychological intervention, Bacteriuria, Medicine, Asymptomatic bacteriuria, Urinary system, Asymptomatic, Intensive care medicine, Psychology, Family medicine, Nursing, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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