Academic Journal
Awareness, use, attitudes, and implementation challenges of Bayesian dose prediction software in clinical practice: a multi-organizational survey.
| Τίτλος: | Awareness, use, attitudes, and implementation challenges of Bayesian dose prediction software in clinical practice: a multi-organizational survey. |
|---|---|
| Συγγραφείς: | Alghanem, Sarah S., Downes, Kevin J., Desai, Amit, Avedissian, Sean N., Awad, Abdelmoneim |
| Πηγή: | Frontiers in Pharmacology; 2026, p1-11, 11p |
| Θεματικοί όροι: | Vancomycin, Aminoglycosides, Computer software execution, Medical practice, Drug monitoring, Pharmacists |
| Περίληψη: | Background: Bayesian dose prediction software supports model-informed precision dosing to improve therapeutic outcomes. This study evaluated clinicians' awareness, usage, attitudes, and perceived barriers related to Bayesian dosing software. Methods: A cross-sectional study was conducted using a validated electronic questionnaire distributed through eight international professional organizations. Descriptive statistics, non-parametric tests, and logistic regression analyses were performed using SPSS version 29. Results: Of 234 respondents, 190 (81.2%) were eligible and completed the survey. Most were from North America (67.4%), pharmacists (76.3%), and worked in academic hospitals (78.4%). Awareness of Bayesian dosing software was high (82.6%) among respondents, yet only 65% reported its use in clinical practice. The most used software included InsightRx (40.2%), DoseMe (22.5%), and MWPharm (18.6%), mainly for vancomycin (94.1%) and aminoglycosides (50%). The overall median attitude score (IQR) was 4.0 (2.0), indicating positive attitudes, whereas the barrier score was 3.0 (2.0), reflecting high implementation challenges. The most frequently reported barriers were prohibitive licensing costs (65%), lack of institutional support for use and maintenance (50.3%), and limited awareness of its use (49.7%). In multivariable analysis, "region" was the sole predictor of awareness with participants from the Middle East significantly less aware (AOR = 0.14; 95% CI: 0.05–0.42; p = 0.002). Software type was significantly associated with professional role, with pharmacists more likely to select commonly used tools (AOR = 7.2; 95% CI: 1.4–17.9; p = 0.003). A non-significant negative correlation was observed between overall attitude and barrier scores (r = −0.49; p = 0.072). Conclusion: Despite high awareness and positive attitudes toward Bayesian dosing software, its clinical use remains limited, primarily focused on vancomycin and aminoglycosides, mostly restricted to three commercial tools. Targeted interventions are required to address key implementation barriers related to licensing costs, institutional support, and awareness. [ABSTRACT FROM AUTHOR] |
| Copyright of Frontiers in Pharmacology is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=16639812&ISBN=&volume=&issue=&date=20260512&spage=1&pages=1-11&title=Frontiers in Pharmacology&atitle=Awareness%2C%20use%2C%20attitudes%2C%20and%20implementation%20challenges%20of%20Bayesian%20dose%20prediction%20software%20in%20clinical%20practice%3A%20a%20multi-organizational%20survey.&aulast=Alghanem%2C%20Sarah%20S.&id=DOI:10.3389/fphar.2026.1770100 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Awareness, use, attitudes, and implementation challenges of Bayesian dose prediction software in clinical practice: a multi-organizational survey. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alghanem%2C+Sarah+S%2E%22">Alghanem, Sarah S.</searchLink><br /><searchLink fieldCode="AR" term="%22Downes%2C+Kevin+J%2E%22">Downes, Kevin J.</searchLink><br /><searchLink fieldCode="AR" term="%22Desai%2C+Amit%22">Desai, Amit</searchLink><br /><searchLink fieldCode="AR" term="%22Avedissian%2C+Sean+N%2E%22">Avedissian, Sean N.</searchLink><br /><searchLink fieldCode="AR" term="%22Awad%2C+Abdelmoneim%22">Awad, Abdelmoneim</searchLink> – Name: TitleSource Label: Source Group: Src Data: Frontiers in Pharmacology; 2026, p1-11, 11p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Vancomycin%22">Vancomycin</searchLink><br /><searchLink fieldCode="DE" term="%22Aminoglycosides%22">Aminoglycosides</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+execution%22">Computer software execution</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+practice%22">Medical practice</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+monitoring%22">Drug monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmacists%22">Pharmacists</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Bayesian dose prediction software supports model-informed precision dosing to improve therapeutic outcomes. This study evaluated clinicians' awareness, usage, attitudes, and perceived barriers related to Bayesian dosing software. Methods: A cross-sectional study was conducted using a validated electronic questionnaire distributed through eight international professional organizations. Descriptive statistics, non-parametric tests, and logistic regression analyses were performed using SPSS version 29. Results: Of 234 respondents, 190 (81.2%) were eligible and completed the survey. Most were from North America (67.4%), pharmacists (76.3%), and worked in academic hospitals (78.4%). Awareness of Bayesian dosing software was high (82.6%) among respondents, yet only 65% reported its use in clinical practice. The most used software included InsightRx (40.2%), DoseMe (22.5%), and MWPharm (18.6%), mainly for vancomycin (94.1%) and aminoglycosides (50%). The overall median attitude score (IQR) was 4.0 (2.0), indicating positive attitudes, whereas the barrier score was 3.0 (2.0), reflecting high implementation challenges. The most frequently reported barriers were prohibitive licensing costs (65%), lack of institutional support for use and maintenance (50.3%), and limited awareness of its use (49.7%). In multivariable analysis, "region" was the sole predictor of awareness with participants from the Middle East significantly less aware (AOR = 0.14; 95% CI: 0.05–0.42; p = 0.002). Software type was significantly associated with professional role, with pharmacists more likely to select commonly used tools (AOR = 7.2; 95% CI: 1.4–17.9; p = 0.003). A non-significant negative correlation was observed between overall attitude and barrier scores (r = −0.49; p = 0.072). Conclusion: Despite high awareness and positive attitudes toward Bayesian dosing software, its clinical use remains limited, primarily focused on vancomycin and aminoglycosides, mostly restricted to three commercial tools. Targeted interventions are required to address key implementation barriers related to licensing costs, institutional support, and awareness. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Frontiers in Pharmacology is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fphar.2026.1770100 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Subjects: – SubjectFull: Vancomycin Type: general – SubjectFull: Aminoglycosides Type: general – SubjectFull: Computer software execution Type: general – SubjectFull: Medical practice Type: general – SubjectFull: Drug monitoring Type: general – SubjectFull: Pharmacists Type: general Titles: – TitleFull: Awareness, use, attitudes, and implementation challenges of Bayesian dose prediction software in clinical practice: a multi-organizational survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alghanem, Sarah S. – PersonEntity: Name: NameFull: Downes, Kevin J. – PersonEntity: Name: NameFull: Desai, Amit – PersonEntity: Name: NameFull: Avedissian, Sean N. – PersonEntity: Name: NameFull: Awad, Abdelmoneim IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16639812 Titles: – TitleFull: Frontiers in Pharmacology Type: main |
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