Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study
Abstract
1. Introduction
2. Results
2.1. Proportion of Inpatients on Antibiotics
2.2. Proportion of Appropriate Use of Audited Antibiotics
2.3. Number of Pharmacist-Led Interventions
3. Discussion
3.1. ABxSG Reduces the Proportion of Patients on Antibiotics
3.2. ABxSG Improved the Appropriateness of Piperacillin-Tazobactam and Ceftriaxone
3.3. ABxSG Empowered Pharmacists to Optimize Antibiotic Doses
3.4. Success of ABxSG
3.5. Study Limitations
4. Methods
4.1. Developing ABxSG Using the Behavioral Design Thinking Approach
4.1.1. Institution-Specific Prescribing Guidelines
4.1.2. Drug Monographs
4.1.3. Medical Calculators
4.1.4. Learning Corner
4.2. Study Design
4.3. Information Collected
4.4. Outcomes
4.5. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Pre-Slope | Change in Slope † | Level Effect at Respective Timepoints | ||||
---|---|---|---|---|---|---|
1 Month | 6 Months | 12 Months | 18 Months | |||
Proportion of inpatients on antibiotics (%) | 0.17 (p < 0.01) | −0.09 (p < 0.05) | −1.66 (p < 0.01) | −2.09 (p < 0.01) | −2.60 (p < 0.01) | −3.12 (p < 0.01) |
Proportion of appropriate prescriptions of antibiotics ‡ | ||||||
Piperacillin-tazobactam (%) | −0.07 (p = 0.53) | 0.26 (p = 0.11) | 2.76 (p = 0.11) | 4.04 (p < 0.05) | 5.56 (p < 0.05) | 7.10 (p < 0.05) |
Ceftriaxone (%) | 0.17 (p = 0.39) | −0.21 (p = 0.44) | 5.74 (p < 0.05) | 4.66 (p = 0.15) | 3.38 (p = 0.43) | 2.09 (p = 0.71) |
Meropenem (%) | 0.065 (p = 0.43) | −0.08 (p = 0.50) | −0.68 (p = 0.57) | 1.01 (p = 0.43) | −1.54 (p = 0.39) | −2.01 (p = 0.40) |
Number of antibiotic-related interventions by pharmacists | ||||||
Drug choice | 1.94 (p < 0.05) | −1.46 (p = 0.18) | −20.24 (p = 0.08) | −27.56 (p < 0.05) | −36.34 (p < 0.05) | −45.11 (p < 0.05) |
Dose regimen | 9.12 (p < 0.01) | 14.18 (p = 0.11) | 9.65 (p = 0.77) | 34.97 (p = 0.35) | 65.35 (p = 0.18) | 95.74 (p = 0.14) |
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Lee, L.W.; Lim, S.Y.C.; Zhou, Y.P.; Chung, S.J.; Chin, D.Z.; Kwa, A.L.H.; Lee, W.H.L. Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study. Antibiotics 2025, 14, 933. https://doi.org/10.3390/antibiotics14090933
Lee LW, Lim SYC, Zhou YP, Chung SJ, Chin DZ, Kwa ALH, Lee WHL. Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study. Antibiotics. 2025; 14(9):933. https://doi.org/10.3390/antibiotics14090933
Chicago/Turabian StyleLee, Lai Wei, Shena Yun Chun Lim, Yvonne Peijun Zhou, Shimin Jasmine Chung, De Zhi Chin, Andrea Lay Hoon Kwa, and Winnie Hui Ling Lee. 2025. "Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study" Antibiotics 14, no. 9: 933. https://doi.org/10.3390/antibiotics14090933
APA StyleLee, L. W., Lim, S. Y. C., Zhou, Y. P., Chung, S. J., Chin, D. Z., Kwa, A. L. H., & Lee, W. H. L. (2025). Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study. Antibiotics, 14(9), 933. https://doi.org/10.3390/antibiotics14090933