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Long-Term Impact of Antimicrobial Stewardship Strategies on Antibiotic Prescribing and Gram-Negative Bacilli Susceptibility: A 17-Year Experience

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10 November 2025

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11 November 2025

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Abstract
Background/objectives: Studies evaluating the longitudinal impact (beyond a decade) of Antibiotic stewardship programs (ASP) strategies on the volume/quality of antibiotic prescriptions, as well as impact on antimicrobial resistance are lacking. Since 2008, the ASP at Singapore General Hospital had implemented various strategies in the following phases: 1) initiation; 2) expansion; 3) optimisation; and 4) innovation. In this study, we aim to evaluate the impact of ASP on the volume/quality of antibiotic prescribing and susceptibility trends of clinically significant Gram-negative bacilli (GNB). Methods: We conducted a single-center, retrospective observational study from 2011 to 2024. Antibiotic consumption, appropriateness and susceptibility trends of 6 GNBs to 7 commonly used antibiotics were analysed using Kendall tau test. Results: We demonstrated sustained improvement in appropriateness of 7 broad-spectrum IV antibiotics, accompanied by significant reductions in IV ciprofloxacin, cefepime and, ertapenem use (p < 0.05). Hospital-wide susceptibility of 6 GNBs to all evaluated antibiotics improved significantly (p < 0.05), except for E. coli susceptibility to ertapenem and Enterobacterales susceptibility to ciprofloxacin. Conclusion: An evolving multi-pronged antibiotic stewardship approach improved antibiotic prescribing and GNB susceptibility towards majority of the antibiotics. In a rapidly evolving healthcare landscape, ASPs must remain agile, continually refining priorities and employing innovative strategies.
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1. Introduction

Antibiotic stewardship program (ASP) is advocated in all healthcare institutions to combat rising bacteria resistance [1,2]. Globally, ASP implementation has reduced antibiotic consumption and hence, improved Gram-negative bacilli (GNB) susceptibility rates, including P. aeruginosa and ESBL-producing Enterobacterales towards broad-spectrum antibiotics across various healthcare settings [3,4,5,6,7,8,9]. Despite the growing body of literature on ASP, there remains a notable scarcity of longitudinal studies extending beyond a decade evaluating sustained impact of ASP on the volume and quality of antibiotic prescribing, along with antimicrobial susceptibility trends.
At Singapore General Hospital (SGH), an 1800-bedded quaternary care hospital in Singapore, with diverse medical and surgical specialties (including haematology, oncology, and transplant), the ASP team, comprising infectious diseases physicians and clinical pharmacists was officially established in 2008. Since its inception, multi-pronged antibiotic stewardship strategies have evolved over 17 years to address the gaps in prescribing patterns. The growth of the ASP can be mainly categorised into the following 4 phases: 1) initiation; 2) advancement; 3) optimisation; and 4) innovation [Table 1, Figure 1].

1.1. Initiation Phase (2008-2014)

In the initiation phase, our priority was to promote appropriate use of carbapenems (ertapenem/meropenem) and anti-pseudomonal agents (IV ciprofloxacin/ piperacillin-tazobactam) through hospital-wide prospective audit and feedback (PAF). When antibiotics were deemed inappropriate based on institution guidelines, ASP pharmacists/physicians make recommendations to the attending physicians, which included antibiotic discontinuation, de-escalation, escalation, intravenous (IV) to oral switch, dose adjustments, and infectious diseases consult. With PAF, we demonstrated shorter length of stay, lower 14-day re-infection and infection-related readmission rates in cases where ASP recommendations were adopted [10,11,12].

1.2. Advancement Phase (2015-2018)

Next, we leveraged technology to influence antibiotic prescribing. In 2015, computerized decision support system (CDSS) was integrated into the electronic medical records and made mandatory for select broad-spectrum antibiotics. In 2018, entry of treatment duration during electronic prescribing was made compulsory for select antibiotics to enhance physician accountability. Concurrently, we strengthened the visibility and branding of the ASP team, positioning ASP team as collaborative partners in patient care rather than “law enforcers”. For example, ASP pharmacists participated in ward rounds in high antibiotic use departments to engage and support prescribers.

1.3. Optimisation Phase (2019-2023)

Serial in-house studies revealed high prevalence of antibiotic use (~50% of admitted patients received antibiotics, substantially higher than in healthcare systems across Europe and North America (11%-33%)) [13]; and our strategies pivoted. We expanded in scope from solely infection management to include surgical prophylaxis, targeting instances where narrower-spectrum agents may be misused. For example, PAF was expanded to ceftriaxone across surgical wards, accompanied by collaborative efforts with surgical departments to shorten post-surgery prophylaxis [14].
Strong support from hospital senior leadership facilitated key stewardship initiatives, including enhancing analytical capabilities, fostering collaboration between ASP and clinical departments, promoting ASP awareness hospital-wide, and linking antibiotic stewardship metrics to hospital incentives.

1.4. Innovation Phase (2023 Till Current)

In the era of digital transformation, we continued to enhance our digital capacity to advance antibiotic stewardship. In 2023, we launched the first antibiotic mobile application, ABxSG, in Singapore as an antimicrobial stewardship tool that empowers physicians and pharmacists to use antibiotics optimally [15]. Concurrently, we developed an augmented intelligence model to predict the presence of lower respiratory tract infections, which we integrated into our PAF workflow, enabling expansion of our purview to all antibiotics [16]. In the arena of precision medicine, β-lactam therapeutic drug monitoring (TDM) to guide individualised drug dosing for optimal outcomes was introduced for critically ill patients and also to curb resistance emergence [17,18].

1.5. Study Objectives

The primary objective of this study is to evaluate how the evolution of ASP strategies over time has impacted the volume (i.e. consumption) and quality (i.e. appropriateness) of antibiotic prescribing. The secondary objective is to examine the longitudinal susceptibility trends of common Gram-negative bacilli (GNB) over time.

2. Methods

2.1. Data Collection

Data on IV antibiotic consumption was obtained from the hospital data warehouse and converted into defined daily doses per 1,000 inpatient days according to the definitions by the 2024 World Health Organisation (WHO) Anatomical Therapeutic Chemical (ATC) classification system [19]. Appropriate use of antibiotics (i.e. IV ciprofloxacin, ceftriaxone, piperacillin-tazobactam, ertapenem, and meropenem) under PAF were obtained from SGH antimicrobial stewardship electronic audit system. Appropriateness of antibiotic use was evaluated based on antibiotic indication, choice, duration, route, and dose upon antibiotic initiation and discontinuation.
Susceptibility data which was only available from 2011 onwards (and 2014 onwards for carbapenems), was derived from the antibiogram constructed by the institution microbiology laboratory based on definitions by Clinical & Laboratory Standards Institute (CLSI) [20]. The antibiogram was compiled annually using clinical samples and for GNB with ≥30 isolates; including only the first isolate per patient within the same calendar year. The antibiogram of 6 clinically significant GNBs [i.e. Acinetobacter baumannii, Pseudomonas aeruginosa, E. coli, Klebsiella spp. (excluding Klebsiella aerogenes), Enterobacter spp./Klebsiella aerogenes, Citrobacter freundii] towards the commonly used antibiotics (ciprofloxacin, ceftriaxone, amoxicillin-clavulanate, cefepime, piperacillin-tazobactam, ertapenem, and meropenem) was generated. Klebsiella aerogenes was classified alongside with Enterobacter spp. as it was formerly known as Enterobacter aerogenes. Susceptibility was interpreted based on CLSI breakpoints that were recommended for the respective years. Notably, there was a reduction in susceptible breakpoint for piperacillin-tazobactam (≤64/4 to ≤16/4μg/ml) for P. aeruginosa and Enterobacterales (≤16/4 to ≤8/4μg/ml) in 2012 and 2022 respectively [21,22]. Susceptible breakpoint was also reduced for cefepime (≤8 to ≤2μg/ml) towards Enterobacterales in 2014 [23].

2.2. Statistical Analysis

Statistical tests were conducted using SPSS (Version 26.0 Armonk, NY: IBM Corp.). The trend of antibiotic consumption, appropriateness, and susceptibility data over time were analysed using kendall tau test. Continuous data are presented in median (interquartile range), unless stated otherwise.

3. Results

3.1. Antibiotic Consumption

From 2011 to 2024, a significant reduction in consumption was shown for IV ciprofloxacin [11.0 (2011) to 4.9 (2024) DDD/1,000 patient-days], cefepime [41.1 (2011) to 11.9 (2024) DDD/1,000 patient-days], and ertapenem [13.8 (2011) to 7.5 (2024) DDD/1,000 patient-days] (p<0.05). On the contrary, there was a significant increase in consumption of IV amoxicillin-clavulanate [32.9 (2011) to 48.5 (2024) DDD/1,000 patient-days and piperacillin-tazobactam [47.8 (2011) to 82.0 (2024) DDD/1,000 patient-days] (p<0.05) [Table 2, Figure 2]. There were no significant changes in overall trends for ceftriaxone and meropenem consumption.
In the initial phase, following hospital-wide PAF for carbapenems and IV ciprofloxacin/piperacillin-tazobactam in 2011 and 2013 respectively, there was no apparent reduction in consumption of these antibiotics. Ironically, there was a noticeable decline of non-PAF antibiotics, where ceftriaxone and cefepime consumption reduced consistently from 105 to 74.8 DDD/1,000 patient-days and 20.5 to 12.9 DDD patient-days respectively from 2011 to 2015. Interestingly, with the implementation of CDSS and mandatory entry of antibiotic duration in 2015 and 2018 respectively during the advancement phase, meropenem consumption reduced substantially —from 50.2 (2015) to 20.9 (2018) DDD per 1,000 patient-days. This reduction was coupled with an apparent increase in IV co-amoxiclav and piperacillin-tazobactam consumption following 2015 [Figure 2].
During the optimisation/innovation phase, ASP expanded its focus to narrower-spectrum antibiotics, including ciprofloxacin, co-amoxiclav, and ceftriaxone that were often used inappropriately in extended surgical prophylaxis. This approach led to modest reduction in IV ciprofloxacin, while stabilising IV co-amoxiclav and ceftriaxone consumption. The reduction in IV ciprofloxacin could also be attributed to the concurrent decline in susceptibility of E. coli, Klebsiella spp. and Enterobacter spp., rendering it less suitable for culture-directed therapy. Notably, there was a modest reduction in cefepime and ertapenem after 2019, which corresponds to an increase in meropenem consumption thereafter [Figure 2].

3.2. Antibiotic Appropriateness

Overall, there was significant improvement in appropriateness trends of PAF antibiotics; 72% (2013) to 82.6% (2024) for IV ciprofloxacin, 75.9% (2011) to 93.8% (2024) for ertapenem, and 72.2% (2011) to 86.1% (2024) for meropenem. Although not statistically significant, ceftriaxone and piperacillin-tazobactam appropriateness increase from [77.5% (2019) to 82.2% (2024), (p=0.851)] and [67.9% in 2013 to 82.7% in 2024; p = 0.411], respectively [Figure 3].
In the initiation phase, we observed a pronounced improvement in appropriateness of ertapenem [75.9% (2011) to 83.3% (2015)], meropenem [72.7% (2011) to 84.3% (2015)], and piperacillin-tazobactam [72.0% (2013) to 83.5% (2015)] following hospital-wide PAF. With CDSS implementation in 2015 during the advancement phase, there was an appreciable increase in IV ciprofloxacin [75.5% (2015) to 83.2% (2017)] and ertapenem [83.3% (2015) to 90.6% (2017)]. Of note, CDSS provided no recommendations for the empiric use of ertapenem and only limited recommendations for IV ciprofloxacin. Hence, suggesting a possible shift away from empiric use of IV ciprofloxacin/ertapenem to culture-directed prescribing.
During the optimisation/innovation phase, the appropriateness of carbapenems largely remained stable. This prompted the multi-pronged ASP strategies to shift focus from carbapenems to narrower-spectrum antibiotics, along with the expansion of ASP activities from infection management to surgical prophylaxis. This change in focus had led sustained improvements in the appropriate use of ceftriaxone [77.5% (2019) to 82.2% (2024)], IV ciprofloxacin [76.9% (2019) to 82.7% (2024)], and piperacillin-tazobactam [76.7% (2019) to 82.6% (2024)].

3.3. GNB Susceptibility

From 2011 to 2024, hospital-wide susceptibility trends of all six GNBs showed significant increase (p < 0.05), except for E. coli susceptibility to ertapenem and Enterobacterales susceptibility to ciprofloxacin [Table 3 and Figure 4].
A. baumannii and P. aeruginosa, both commonly associated with nosocomial infections, showed a significant increase in susceptibility to ciprofloxacin, cefepime, piperacillin-tazobactam, and meropenem over time (p<0.05). Notably, the most rapid improvement in susceptibility was observed between 2011 and 2016. Susceptibility of E. coli and Klebsiella spp. to ceftriaxone [often used as surrogate for resistance due to extended-spectrum β-lactamase (ESBL)] and cefepime increased significantly (p<0.05) from 2011 to 2024. Enterobacter spp./Klebsiella aerogenes and Citrobacter freundii, which are Enterobacterales that possesses AmpC β-lactamase enzymes, also showed improved susceptibility trends to cefepime, ertapenem, and meropenem (p<0.05). The most rapid improvement in susceptibility of the Enterobacterales was observed after 2018, where it was preceded with a noticeable reduction in ceftriaxone and cefepime consumption from 2011 to 2016.
Interestingly, despite a marked increase in IV amoxicillin-clavulanate and piperacillin-tazobactam consumption, particularly after 2016, E. coli and Klebsiella spp. exhibited a pronounced increase in susceptibility to these antibiotics.

4. Discussion

To date, this is the first study to describe the evolution of antibiotic stewardship strategies over a 17-year period and evaluate their impact on the volume/quality of antibiotic prescribing, and susceptibility trends of commonly seen GNB in a quaternary healthcare institution. We demonstrated sustained improvement in appropriate prescribing of 7 commonly used broad-spectrum IV antibiotics. Additionally, there was an overall reduction in consumption for IV ciprofloxacin, cefepime and ertapenem from 2011 to 2024 (p<0.05), and a steep reduction in ceftriaxone consumption in the initial phase of ASP. Importantly, we demonstrated significant increase in hospital-wide susceptibility trends for all 6 commonly seen GNBs to all 6 β-lactam antibiotics (p < 0.05), except for E. coli susceptibility to ertapenem (which remained stable). Furthermore, susceptibility of A. baumanni and P. aeruginosa to ciprofloxacin improved significantly over time (p<0.05).
Reducing antibiotic consumption to mitigate antimicrobial resistance is a core objective of ASP [1,2]. In the initial phase, ceftriaxone and cefepime consumption declined markedly from 2011 to 2016, after which usage plateaued [Figure 2]. Although PAF targeted carbapenems and piperacillin–tazobactam rather than ceftriaxone then, recommendations for antibiotic cessation when therapy was no longer indicated likely influenced overall prescribing behaviour. This contrasted with pre-PAF practices, where clinicians often preferred antibiotic de-escalation instead of discontinuation. The combination of PAF and rolling out of institutional antibiotic guidelines likely fostered a behavioural shift among prescribers, promoting greater awareness and adherence to judicious use of narrower-spectrum antibiotics.
Interestingly, reductions in cephalosporin consumption coincided with pronounced improvements in A. baumannii susceptibility from 2011 to 2016, consistent with previous evidence linking ceftriaxone use to the selection of multidrug-resistant A. baumannii [24]. A subsequent improvement in Enterobacterales susceptibility to cephalosporins (reflecting declining ESBL prevalence) occurred from 2018 onwards, albeit after a lag of > 3 years following reduced cephalosporin use—an ecological delay similarly reported by Livermore et al. [25]. The persistence of resistance despite reduced selective pressure may be attributable to the efficient horizontal transfer of ESBL-encoding plasmids through conjugation, maintaining resistance within bacterial populations [26]. Furthermore, we postulate that the decline in IV ciprofloxacin use from 2019 contributed to the sustained reduction in ESBL prevalence [27], likely driven by ASP initiatives targeting ciprofloxacin use in surgical prophylaxis and the known reduced susceptibility of Enterobacterales to ciprofloxacin nationally [28]. On the contrary, our data showed improved ciprofloxacin susceptibility in hospital-acquired pathogens such as P. aeruginosa and A. baumannii, supporting judicious use of ciprofloxacin use within the institution for nosocomial infections [29].
Unlike cephalosporins and ciprofloxacin, an association between antibiotic consumption and GNB susceptibility rates was not consistently observed across all antibiotics in our study. Despite increased consumption of IV amoxicillin-clavulanate and piperacillin-tazobactam over time (p<0.05), a trend similarly observed nation-wide [28], there was significant improvement in GNB susceptibility to amoxicillin-clavulanate and piperacillin-tazobactam over time (p<0.05). Similarly, Lee et al. observed that increased piperacillin–tazobactam utilization did not correspond with higher resistance rates in E. coli, suggesting a higher threshold for resistance acquisition [30]. The same study also found no rise in AmpC-β-lactamase producing E. coli or K. pneumoniae. Additionally, Marquet et al. reported that amoxicillin–clavulanate use was protective against third-generation cephalosporin non-susceptibility in K. pneumoniae, supporting its role as a potential alternative to cephalosporins or fluoroquinolones to mitigate resistance [31].
In practice, some degree of the “balloon-squeezing” effect is unavoidable, particularly in quaternary healthcare settings where managing complex and critically ill patients is the norm. At our institution, a reduction in meropenem consumption following implementation of CDSS in 2015 was accompanied by an increased use of IV amoxicillin-clavulanate and piperacillin-tazobactam, likely indicating the effectiveness of CDSS in assisting doctors in choosing narrower-spectrum antibiotics as empiric therapy. Therefore, ASPs should avoid self-penalization based solely on antibiotic usage matrix, recognizing that the rise of consumption of selected antibiotics may be deemed clinically reasonable within acceptable boundaries.
Similarly, following 2019, meropenem consumption increased slowly along with a further reduction in cefepime and ertapenem use. The rise in meropenem was likely influenced by emerging evidence and local experience of cefepime/ertapenem induced neurotoxicity [32,33], which led the ASP team to permit meropenem for infections caused by AmpC- or ESBL-producing Enterobacterales in patients with severe renal impairment. Additionally, the incorporation of evidence supporting higher β-lactam dosing in critically ill or obese patients into our institutional antibiotic guidelines has likely contributed to the increased consumption of not only meropenem but also piperacillin-tazobactam [34,35]. In 2023, β-lactam therapeutic drug monitoring (TDM) was introduced to optimise pharmacokinetic/pharmacodynamic targets with the aim to improve both patient outcomes and suppress emergence of antibiotic resistance [17,18]. Although this coincided with a slight increase in consumption of piperacillin-tazobactam and meropenem in 2023-2024, no deterioration in GNB susceptibility was observed through 2024.
Antibiotic consumption trend may not always align with appropriate prescribing trends, and effective antibiotic stewardship requires balancing evaluation of both indicators. A major achievement of our 17-year ASP has been the sustained improvement in appropriate antibiotic prescribing across all antibiotics evaluated in our study. PAF, which was our cornerstone ASP strategy during the initial phase had led to improved appropriateness of IV ciprofloxacin, piperacillin-tazobactam, and carbapenems. Interestingly, it took 2 years of PAF before carbapenem appropriateness improved. This delayed improvement suggests that building prescriber rapport through ongoing handshake stewardship requires time. Compared to restrictive measures, enabling strategies like PAF allows real-time feedback to prescribers, which provides opportunities to engage, educate, and empower [36].
A coordinated approach with strong senior leadership support is critical for the success and sustainability of ASPs [2]. Provision of financial and manpower resources to develop technology enablers during the optimisation/innovation phase, including CDSS which had driven improvements in carbapenem appropriateness in our study, was also proven effective in other healthcare settings [37,38]. As our ASP matures, real-time surveillance dashboards and analytics have enabled the team to promptly identify prescribing gaps in narrower-spectrum antibiotics. For example, several surgical departments were found to use unnecessarily prolonged antibiotics for surgical prophylaxis. In response, targeted strategies were implemented, including the expansion of PAF to ceftriaxone in surgical departments and collaborations with high-usage teams to optimize antibiotic duration [14]. Furthermore, the launch of an in-house antibiotic mobile application (ABxSg) in 2023, which provides physicians with on-the-go access to antibiotic prescribing guidelines and resources, was designed to promote appropriate antibiotic use across all antibiotics. This strategy had reduced the proportion of hospitalised patients prescribed antibiotics in our institution [15]. Additionally, substantial financial investment supported the development of an augmented intelligence model (AI²D) with an accuracy of 80% in identifying patients at low risk for acute bacterial lower respiratory tract infection. Integration of AI²D into PAF enhanced its effectiveness; antibiotics prescribed to such patients were nearly 4 times more likely to be discontinued within two days compared with cases managed without AI²D [16].
During the advancement phase, significant efforts were directed towards concurrent upskilling of workforce, including supporting clinical pharmacists through national residency programmes and relevant postgraduate studies. Clinically advanced pharmacists are then better equipped to manage complex patients and lead advanced ASP strategies, which strengthened the identity and visibility of ASP team within the hospital. Beyond participating in ward rounds, ASP pharmacists and physicians were actively involved in multiple quality improvement projects, including projects pertaining to diagnostic stewardship with major departments as part of handshake stewardship initiatives. The consistent presence and collaboration of a capable ASP team positioned us as trusted partners in patient care rather than mere “enforcers” of appropriate antibiotic use. This branding improved rapport with prescribers, making them more receptive to ASP recommendations and strategies, thereby contributing to sustained improvements in antibiotic prescribing appropriateness. Notably, appropriate ertapenem and meropenem prescribing increased substantially from 75.9% (2011) to 93.8% (2024) and from 72.7% (2011) to 86.1% (2024) respectively. These results represent an exceptional achievement when compared with reports from hospitals in other parts of Asia, Europe, and North America, where carbapenem appropriateness rates typically range between 50% and 60% [39,40,41].

4.1. Study Limitations

Firstly, in the initial phase, hospital’s electronic system lacked the functionality to capture several critical data types, limiting the ability to comprehensively evaluate the impact of early ASP strategies. For example, complete antibiotic consumption/appropriateness data and carbapenem susceptibility data were not available before 2011 and 2014 respectively. Secondly, susceptibility trends are used as a surrogate measure to assess the impact of the ASP; however, based on the available data, we are unable to distinguish between clinical isolates originating from community-acquired and hospital-acquired infections. Improved susceptibility trends may possibly reflect increased awareness of antibiotic stewardship among community prescribers over time; however, causality cannot be accounted for in our study. This highlights the need to enhance the capabilities of our analytical dashboards to allow segregation of infection origin. Thirdly, although enhanced infection control measures over time likely reduced the spread of drug-resistant organisms, this effect could not be incorporated into our analysis.

5. Conclusion

A multi-pronged ASP approach implemented over 17 years has successfully improved antibiotic prescribing and susceptibility of GNBs towards majority of the antibiotics at our institution. Beyond PAF, technology enablers and handshake stewardship have further advanced our efforts and yielded measurable results. Equally important, is strengthening the visibility and branding of the ASP, with sustained support from hospital leadership, which is critical for long-term success. In a rapidly evolving healthcare landscape, ASPs must remain agile, continually refining priorities and employing innovative strategies. Incorporating diagnostic stewardship alongside advances in rapid diagnostics, immunoprofiling, and machine learning can further enhance judicious use of antibiotics [42,43,44,45,46].

Author Contributions

Conceptualization: Y.P.Z, S.J.C., A.L.H.K., W.H.L.L.; methodology: Y.P.Z., , S.Y.C.L, T.Y.E; formal analysis: Y.P.Z.; data curation: Y.P.Z., W.Y.B, S.Y.C.L, T.Y.E; writing: original draft: Y.P.Z.; review and editing: Y.P.Z., S.J.C., A.L.H.K., W.H.L.L W.Y.B, S.Y.C.L, T.Y.E.; visualization: Y.P.Z.; project administration: Y.P.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was exempted from our institutional ethics board review (SingHealth Institutional Review Board Reference 2022/2560). It was deemed that the activities conducted by the ASP do not require further ethical deliberation because it mainly involves a series of quality improvement initiatives.

Informed Consent Statement

Patient consent was not required as per study exemption from our institutional ethics board review. Deidentified data was used for analysis in this study.

Data Availability Statement

The original contributions presented in this study are included in the article.

Acknowledgments

We would like to express our sincere gratitude to the SGH ASP physicians (Benjamin Cherng, Cherie Gan, Piotr Chlebicki, Siew Yee Thien) and pharmacists (Boon San Teoh, Daphne Yah Chieh Yii, Jia Le Lim, Jun Jie Tan, Kai Chee Hung, Li Wen Loo, Narendran Koomanan, Nathalie Chua, Sarah Tang, Trevina Lee, Yixin Liew) for their support in various ASP strategies. Additionally, we would like to thank the SGH microbiology laboratory for provision of the antibiogram. Lastly, we would like to thank our SingHealth DGCEO Kenneth Kwek, GCDSO Benedict Tan and the Office of Digital Empowerment for their unwavering support.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Antibiotic stewardship strategies implemented at Singapore General Hospital from 2008 to 2024. PAF: Prospective audit feedback. *All ASP strategies listed in the timeline above are ongoing since initiation in the respective year.
Figure 1. Antibiotic stewardship strategies implemented at Singapore General Hospital from 2008 to 2024. PAF: Prospective audit feedback. *All ASP strategies listed in the timeline above are ongoing since initiation in the respective year.
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Figure 2. Consumption of antibiotics (Defined daily doses/10,000 patient days) from 2011 to 2024.
Figure 2. Consumption of antibiotics (Defined daily doses/10,000 patient days) from 2011 to 2024.
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Figure 3. Appropriateness of PAF Antibiotics (2011 to 2024).
Figure 3. Appropriateness of PAF Antibiotics (2011 to 2024).
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Figure 4. Hospital-wide susceptibility of 6 Gram-negative bacilli towards 7 antibiotics (from 2011 to 2024). Klebsiella spp. excludes Klebsiella aerogenes. The y-axis for A. baumannii susceptibility data begins at 20%, whereas for other Gram-negative bacilli starts at 50%.
Figure 4. Hospital-wide susceptibility of 6 Gram-negative bacilli towards 7 antibiotics (from 2011 to 2024). Klebsiella spp. excludes Klebsiella aerogenes. The y-axis for A. baumannii susceptibility data begins at 20%, whereas for other Gram-negative bacilli starts at 50%.
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Table 1. Four phases of Antimicrobial Stewardship Strategies and Corresponding Key Strategies.
Table 1. Four phases of Antimicrobial Stewardship Strategies and Corresponding Key Strategies.
Phase Approx. Years Key Stewardship Strategies
Initiation 2008-2014
  • Development of in-house antibiotic guidelines
  • Implementing prospective audit feedback (PAF)
  • 2008-2011: PAF of meropenem, ertapenem, piperacillin tazobactam from selected departments
  • 2011 onwards: Expansion to hospital-wide PAF of meropenem, ertapenem
  • 2013 onwards: Expansion to hospital-wide PAF of piperacillin-tazobactam and IV ciprofloxacin
  • Feedback to physicians Initiation of handshake stewardship
  • Feedback reports sent to head of departments to improve appropriate prescribing every 3 months
Advancement 2015-2018
  • Harnessing technology to improve antibiotic prescribing
  • 2015: Hospital-wide computerized decision support system
  • 2018: Mandatory entry of antibiotic duration for select broad-spectrum antibiotics during prescribing
  • Enhancing identity and visibility of ASP team
  • Pharmacists participated in ward rounds with departments identified to have high antibiotic use
  • Electronic documentation of PAF interventions
  • Rapid expansion of training of highly competent clinical pharmacists with expertise in infectious diseases
  • Trainings include national residency programmes and relevant postgraduate studies
Optimization 2019-2023
  • Garnering support from senior management
  • Incorporating proportion of hospitalized patients prescribed antibiotics as bonus matrix in 2020
  • Strengthening analytics capabilities
  • Building of real-time dashboards and reports to facilitate surveillance of antibiotics use and identification of prescribing gaps
  • Expansion of ASP focus to include narrower-spectrum antibiotics
  • Expansion of focus beyond antibiotics used for treatment to surgical prophylaxis
  • Expansion of PAF to include IV ceftriaxone use in surgical departments in 2019
  • Reinforcing handshake stewardship
  • Enhanced collaboration through quality improvement projects with major surgical departments
  • Conducting regular roadshow to major departments to promote appropriate antibiotic prescribing
  • Enhancing identity and visibility of ASP team by leveraging on corporate social media
  • Leveraged corporate social media to showcase endorsements of ASP initiatives by hospital leaders and senior clinicians
  • Highlighted recognition and awards presented to physicians acknowledged as ASP champions
  • Shared best practices promoting appropriate antibiotic use
Innovation 2023-current
  • Launched antibiotic mobile application (ABxSG)
  • Initiated therapeutic drug monitoring of β-lactams
  • Integrated augmented intelligence model (AI2D) into PAF workflow to improve antibiotic use of respiratory infections
  • Collaborate with select departments to improve diagnostic stewardship on ordering of urine cultures
Table 2. Defined daily doses per 10,000 patient days of 7 commonly used antibiotics (2011 to 2024).
Table 2. Defined daily doses per 10,000 patient days of 7 commonly used antibiotics (2011 to 2024).
Antibiotic DDD/1,000 PD (2011) DDD/1,000 PD (2024) DDD Trend
(2011-2024)
Kendall Tau coefficient p-value
IV Ciprofloxacin 11.0 4.9 7.8 (4.4-9.4) Decreasing -0.853 0.000
Ceftriaxone 105.0 90.0 77.2 (73.7-82.9) Stable -0.165 0.412
IV amoxicillin-clavulanate 32.9 48.5 39.8 (34.2-43.4) Increasing 0.780 0.000
Cefepime 41.1 11.9 25.8 (12.8-30.2) Decreasing -0.641 0.001
Piperacillin-tazobactam 47.8 82.0 70.9 (63.8-78.5) Increasing 0.780 0.000
Ertapenem 13.8 7.5 9.0 (7.7-10.2) Decreasing -0.751 0.000
Meropenem 38.3 47.8 40.3 (38.3-44.7) Stable -0.011 0.956
DDD: Defined daily dose; PD: patient days. DDD expressed in median (IQR).
Table 3. Hospital -wide susceptibility trend of the 10 Gram-negative bacilli towards 7 antibiotics (from 2011 to 2024).
Table 3. Hospital -wide susceptibility trend of the 10 Gram-negative bacilli towards 7 antibiotics (from 2011 to 2024).
Gram-negative bacilli No. of isolates a year Antibiotic % Susceptibility
(As of 2011 or 2014 for carbapenems)
% Susceptibility
(As of 2024)
Susceptibility Trend Kendall Tau coefficient
p-value
Acinetobacter baumannii 254 (216-378) Ciprofloxacin 33.6 74.4 Increasing 0.58 <0.01
Cefepime 35.9 81.5 Increasing 0.56 <0.01
Piperacillin-tazobactam 32.4 74.1 Increasing 0.66 <0.01
Meropenem 48.5 79.8 Increasing 0.48 <0.05
Citrobacter freundii 99 (88-110) Ciprofloxacin 70.2 74.6 stable 0.22 0.273
Cefepime 79.2 90.7 Increasing 0.53 <0.05
Ertapenem 79.7 96.2 Increasing 0.65 <0.01
Meropenem 80.6 99.2 Increasing 0.67 <0.01
Enterobacter spp.(including Klebsiella aerogenes) 805 (747-885) Ciprofloxacin 78.2 77.6 Stable -0.17 0.412
Cefepime 82.8 88.6 Increasing 0.47 <0.05
Ertapenem 86.7 92.7 Increasing 0.60 <0.05
Meropenem 91.1 97.2 Increasing 0.52 <0.05
E. Coli 4282 (3924-4738) Ciprofloxacin 51.4 53.1 Stable -0.10 0.622
Ceftriaxone 69.9 75.1 Increasing 0.59 <0.01
Amoxicillin-clavulanate 66.0 79.6 Increasing 0.77 <0.01
Cefepime 74.7 86.6 Increasing 0.73 <0.01
Piperacillin-tazobactam 91.1 93.9 Increasing 0.49 <0.05
Ertapenem 97.0 98.9 Stable 0.45 0.059
Meropenem 97.9 99.2 Increasing 0.55 <0.05
Klebsiella spp 2323 (2180-2767) Ciprofloxacin 57.6 66.1 Stable 0.08 0.702
Ceftriaxone 60.5 76.7 Increasing 0.77 <0.01
Amoxicillin-clavulanate 57.9 74.5 Increasing 0.76 <0.01
Cefepime 63.0 84.1 Increasing 0.84 <0.01
Piperacillin-tazobactam 73.0 84.6 Increasing 0.69 <0.01
Ertapenem 94.3 95.9 Increasing 0.62 <0.01
Meropenem 95.1 96.9 Increasing 0.53 <0.05
Pseudomonas
aeruginosa
1522 (1380-1831) Ciprofloxacin 76.3 91.3 Increasing 0.93 <0.01
Cefepime 84.5 96.4 Increasing 0.93 <0.01
Piperacillin-tazobactam 90.7 92.9 Increasing 0.65 <0.01
Meropenem 87.5 93.8 Increasing 0.86 <0.01
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