Understanding the complexities of antibiotic prescribing behaviour in acute hospitals: a systematic review and meta-ethnography

Capturing the complexity of veterinarians' antibiotic prescribing practices in the livestock sector: a meta-ethnography across contexts: Veterinarians' antibiotic prescribing in different contexts

Strategies and policies to tackle the global public health threat of antimicrobial resistance are increasingly addressing antimicrobial use prescribing practices in both the human and animal health sectors. Veterinarians' antibiotic prescribing practices are influenced by different factors and conditioned by the context within which antibiotic prescribing decisions are made, complexifying the implementation of behaviour change interventions. A better understanding of these factors could therefore help in the design and application of such interventions. Meta-ethnography was used to explore the antibiotic prescribing behaviour of veterinarians in different contexts and to construct a new conceptual framework. A search was conducted in PubMed, Web of Science Core Collection and SciELO Citation Index between 2016 and 2024. The final sample consisted of 29 articles, 27 of which were selected from the 561 articles identified in the search and 2 of which were added by the authors. The results were synthesized and presented through four contextual situations influencing antibiotic prescribing by livestock veterinarians: priorities and pressures, uncertain field conditions, systemic challenges and an enabling environment. The results are presented as a conceptual framework that views veterinarians' antibiotic prescribing behaviour as dynamic, adapting in response to the different contextual situations they encounter. The findings provide an integrated and contextualized understanding of veterinarians' antibiotic prescribing behaviours, which could be implemented to facilitate the development and application of future antimicrobial stewardship interventions.

Improving antibiotic use in hospitals: development of a digital antibiotic review tracking toolkit (DARTT) using the behaviour change wheel

OBJECTIVE

To develop a theory-informed behaviour change intervention to promote appropriate hospital antibiotic use, guided by the Medical Research Council's complex interventions framework.

METHODS

A phased approach was used, including triangulation of data from meta-ethnography and two qualitative studies. Central to intervention design was the generation of a robust theoretical basis using the Behaviour Change Wheel to identify relevant determinants of behaviour change and intervention components. Intervention content was guided by APEASE (Acceptability, Practicability, Effectiveness, Affordability, Side-effects, and Equity) criteria and coded using a Behaviour Change Technique Taxonomy. Stakeholders were involved throughout.

RESULTS

From numerous modifiable prescribing behaviours identified, active 'antibiotic time-out' was selected as the target behaviour to help clinicians safely initiate antibiotic reassessment. Prescribers' capability, opportunity, and motivation were potential drivers for changing this behaviour. The design process resulted in the selection of 25 behaviour change techniques subsequently translated into intervention content. Integral to this work was the development and refinement of a Digital Antibiotic Review Tracking Toolkit.

CONCLUSION

This novel work demonstrates how the Behaviour Change Wheel can be used with the Medical Research Council framework to develop a theory-based behaviour change intervention targeting barriers to timely hospital antibiotic reassessment. Future research will evaluate the Antibiotic Toolkit's feasibility and effectiveness.

Do vaginal swabs alter empirical clinical management in obstetrics and gynaecology: A retrospective case-series and activity-based costing of the vaginal swab

BACKGROUND

Vaginal swab microbiological testing is commonly performed as routine clinical management for various obstetric and gynaecological presentations. The clinical utility and cost-effectiveness of vaginal swab microscopy, culture and susceptibilities (MCS) in altering empirical management is ill-defined.

AIMS

To describe the clinical use of vaginal swabs in a tertiary women's hospital emergency department (ED), measure the impact of vaginal swabs on altering empirical clinical management, and to determine the economic cost of vaginal swab MCS.

MATERIALS AND METHODS

Retrospective case-series of vaginal swabs collected at a single, tertiary women's ED between January 2021 and July 2021. Symptomatology, clinical diagnosis, test results, and pre-swab and post-swab clinical management were determined upon medical record review. Economic costs of vaginal swab MCS were retrospectively determined via internal accounting records, permitting unit-level activity-based costing.

RESULTS

A total of 660 vaginal swabs from 584 clinical episodes were included. Vulvovaginitis was the most common indication for swab collection (34.5%, 167 samples). Altered empirical management was observed in 9.8% of all swabs (95% CI 7.4-12.2%), with marked variability between clinical indications. Antimicrobial initiation was the most common alteration in management (8.9%, 95% CI 8.7-9.1%). The estimated cost of vaginal swab MCS was $29.71 AUD; labour, consumables and disposal costs accounted for 69.3, 29.8 and 0.9%, respectively.

CONCLUSIONS

The impact of vaginal swab MCS on empirical clinical management is context-specific and variable. The majority of swabs performed do not impact upon empirical management. Antimicrobial initiation is appreciably more common than antimicrobial cessation with vaginal swab results.

Antibiotic Prescribing Behavior of Physicians in Outpatient Departments in Hospitals in Northwest Ethiopia: Structural Equation Modeling Approach

BACKGROUND

Antibiotic resistance, fueled by irrational prescribing, is a global threat associated with health, social, and economic consequences. Understanding antibiotic prescribing behavior and associated factors is important to promote good prescribing practice.

OBJECTIVE

This study aimed to determine the factors affecting antibiotic prescribing behaviors of physicians based on the theory of planned behavior in hospitals in northwest Ethiopia in 2022.

METHODS

A cross-sectional study was conducted from September 2022 to October 2022. A total of 185 health professionals were included, and a self-administered questionnaire was used to collect data. A structural equation model based on the modified theory of planned behavior was used to determine factors affecting antibiotic prescribing behavior. The percentages of physicians' estimated prescriptions for patients with upper respiratory tract infections (URTIs) and during weekly outpatient visits were used to predict antibiotic prescribing behavior and finally linked with behavioral constructs. A P value <.05 was considered significant.

RESULTS

Physicians estimated that they prescribed antibiotics for 54.8% (9896/18,049) of weekly outpatient encounters, and 178 (96.2%) of the 185 physicians estimated they prescribed antibiotics for patients who presented with symptoms of a URTI. Physicians aged ≤30 years were less likely to prescribe antibiotics (48/100, 48%) for patients who presented with a URTI than physicians older than 30 years (51/100, 51%; P=.004), and general practitioners were less likely to prescribe antibiotics (47/100, 47%) for patients who presented with a URTI than residents (51/100, 51%; P=.03). Similarly, during outpatient visits, physicians ≤30 years old were less likely to prescribe antibiotics (54/100, 54%) than physicians older than 30 years (57/100, 57%; P<.001), male physicians were less likely to prescribe antibiotics (53/100, 53%) than female physicians (64/100, 64%; P=.03), and general practitioners were less likely to prescribe antibiotics (53/100, 53%) than residents (57/100, 57%; P=.02). Physicians with good knowledge were less affected by perceived social pressure (mean 4.4, SD 0.6) than those with poor knowledge (mean 4.0, SD 0.9; P<.001) and felt it was easy to make rational decisions (mean 4.1, SD 1.1) compared with those with poor knowledge (mean 3.8, SD 1; P<.001). However, intentions to reduce and prescribe antibiotics were not affected by attitudes, subjective norms, or perceived behavioral control, and perceived antibiotic prescribing behavior was not related to intentions to reduce or prescribe antibiotics.

CONCLUSIONS

Antibiotic prescribing behavior was not under the volitional control of physicians. This calls for a systematic approach to change antibiotic prescribing practices in hospital.

Qualitative drivers of postoperative prophylactic antibiotics use and resistance in Ethiopia

BACKGROUND

The World Health Organization (WHO) cautions against unnecessary prolongation of postoperative antibiotics to prevent surgical site infections (SSI), however this practice is still common in many countries. This study aims to describe drivers of prolonged postoperative antibiotic prescribing and clinicians' perspectives on antibiotics resistance and stewardship in Ethiopia.

METHODS

We conducted semi-structured interviews of 16 surgeons and nine surgical ward nurses at three academic referral hospitals in Addis Ababa. Audio recordings were transcribed verbatim and coded. Codes were inductively and iteratively derived between two researchers, tested for inter-rater reliability (IRR), and the codebook was consistently applied to all transcripts. Thematic analysis was performed to understand drivers of prolonged prophylactic antibiotic use in surgical patients.

RESULTS

Interviews revealed factors contributing to postoperative prophylactic antibiotics overprescribing, including inadequate infection prevention and control (IPC) practices, wide variability in local prescribing practices, and distrust in the applicability of WHO guidelines. Antimicrobial resistance was also identified as a major concern by staff. Barriers to improving stewardship included a lack of multidisciplinary teamwork to inform prescribing decisions, while solutions included constructing appropriate context-specific guidelines and improving evidence-based practices through input from local stakeholders, including surgeons, clinical pharmacists, and nurses.

CONCLUSIONS

Study participants perceived that existing evidence and guidelines did not apply in their settings due to high rates of surgical site infections and gaps in perioperative IPC practices (e.g., availability of water for handwashing, sterility breaches). These gaps were a key contributor to prophylactic antibiotic overprescribing, reinforcing the need to strengthen upstream and perioperative surgical antisepsis processes. The findings of this study underscore the importance of engaging multidisciplinary teams in strengthening antimicrobial stewardship efforts, aligning processes to achieve compliance with best practices, and the need for rigorous, contextually appropriate studies from these settings to inform policy.

Understanding hospital antimicrobial prescribing decisions and determinants of uptake of new local antimicrobial prescribing guidelines in Laos

Background

Antimicrobial use in Laos is among the highest in Southeast Asia. The first Lao comprehensive antimicrobial prescribing guidelines have been available since 2021. This study explored the determinants of antibiotic prescribing decisions and how the new prescribing guidelines were being used.

Methods

In August 2022, in-depth interviews were conducted with 16 Lao prescribers from two hospitals. Participants were questioned about their prescribing behaviours, attitudes to guidelines, how they learned about the guidelines and factors influencing their uptake. The interviews were audio-recorded, transcribed, and translated into English. Thematic analysis of the transcripts was conducted.

Results

Lao prescribers considered multiple factors before deciding to prescribe antibiotics to their patients. The most common factor was based on the clinical judgement of the prescribers. Lack of certain antibiotics and turnaround times of laboratory results were the main challenges to prescribing antibiotics appropriately. The majority of participants were satisfied with the guidelines, regarding them as comprehensive, simple and convenient. However, most participants admitted that they did not access the guidelines very often. The main reason was that they could remember the treatment recommendations because they treat similar diseases on a daily basis. Improving antibiotic knowledge was the most common recommendation in order to improve the appropriate use of antibiotics. Raising awareness of the guidelines and promoting their use should also be considered. In addition, heads of the wards, and policy and implementation leaders, should support, monitor and feedback their use to encourage all prescribers to follow the guidelines.

Conclusions

Several factors contribute to enhancing appropriate antibiotic prescription. Key factors for improving antibiotic prescription include enhancing prescribers' clinical knowledge, ensuring access to essential antibiotics, and updating guidelines regularly. Health leaders must get involved to promote their use.

Patient and public understanding of antimicrobial resistance: a systematic review and meta-ethnography

Objectives

To further develop an understanding of laypeople's (adult patients and public) beliefs and attitudes toward antimicrobial resistance (AMR) by developing a conceptual model derived from identifying and synthesizing primary qualitative research.

Methods

A systematic search of 12 electronic databases, including CINAHL, MEDLINE, PsycINFO, PubMed and Web of Science to identify qualitative primary studies exploring patient and public understanding of AMR published between 2012 and 2022. Included studies were quality appraised and synthesized using Noblit and Hare's meta-ethnographic approach and reported using eMERGe guidance.

Results

Thirteen papers reporting 12 qualitative studies were synthesized. Studies reported data from 466 participants aged 18-90 years. Five themes were identified from these original studies: the responsible patient; when words become meaningless; patient-prescriber relationship; past experience drives antibiotic use; and reframing public perception. These themes supported the development of a conceptual model that illustrates the tension between two different assumptions, that is, how can antibiotics be used for the collective good whilst balancing the immediate needs of individual patients.

Conclusions

Findings suggest that AMR is a distinct ethical issue and should not be viewed purely as a prescribing problem. The meta-ethnography-generated conceptual model illustrates many factors affecting the public's perception of AMR. These include laypeople's own knowledge, beliefs and attitudes around antibiotic use, the relationship with the healthcare provider and the wider context, including the overwhelming influence of the media and public health campaigns. Future research is needed to explore effective health messaging strategies to increase laypeople's baseline awareness of AMR as a public threat.

A quality improvement intervention on surgical prophylaxis impact in antibiotic consumption and cost in selected surgical procedures

BACKGROUND

Improper compliance with antibiotic prophylaxis (AP) in surgery is associated with an increased risk of surgical site infection (SSI), and impacts the efficiency of healthcare.

OBJECTIVE

Evaluate the impact of an intervention in compliance with AP in selected surgical procedures and its effect on antibiotic consumption and cost.

METHODS

A prospective interventional study was performed in a community hospital from January to December 2022. The baseline period was considered January-April 2022 and the intervention period May-December 2022. All patients who underwent cesarean section, appendectomies, hernia surgery, open reduction and internal fixation (ORIF), abdominoplasty, and cholecystectomy during the study period were selected. The intervention includes staff education, pharmacy interventions, monitoring the quality of prescriptions and feedback, and improved role of anesthesia staff, and department champions.

RESULTS

The study involved 192 and 617 surgical procedures in the baseline and intervention periods respectively. The compliance with timing, selection, dose, and discontinuation achieved 100%, 99.2%, and 97.6% from baseline figures of 92.7%, 95.8%, and 81.3%, respectively. The antibiotic consumption was reduced by 55.1% during the intervention with a higher contribution of other antibiotics (94.1% reduction) in comparison with antibiotics as per policy (31.2% reduction). The cost was reduced by 47.2% (antibiotic as per policy 31.9%, other antibiotics 94.2%).

CONCLUSION

The implemented strategy was effective in improving the quality of antibiotic prophylaxis with a significant impact in reducing antibiotic consumption and cost.

Stewardship Prompts to Improve Antibiotic Selection for Pneumonia: The INSPIRE Randomized Clinical Trial

Importance

Pneumonia is the most common infection requiring hospitalization and is a major reason for overuse of extended-spectrum antibiotics. Despite low risk of multidrug-resistant organism (MDRO) infection, clinical uncertainty often drives initial antibiotic selection. Strategies to limit empiric antibiotic overuse for patients with pneumonia are needed.

Objective

To evaluate whether computerized provider order entry (CPOE) prompts providing patient- and pathogen-specific MDRO infection risk estimates could reduce empiric extended-spectrum antibiotics for non-critically ill patients admitted with pneumonia.

Design, Setting, and Participants

Cluster-randomized trial in 59 US community hospitals comparing the effect of a CPOE stewardship bundle (education, feedback, and real-time MDRO risk-based CPOE prompts; n = 29 hospitals) vs routine stewardship (n = 30 hospitals) on antibiotic selection during the first 3 hospital days (empiric period) in non-critically ill adults (≥18 years) hospitalized with pneumonia. There was an 18-month baseline period from April 1, 2017, to September 30, 2018, and a 15-month intervention period from April 1, 2019, to June 30, 2020.

Intervention

CPOE prompts recommending standard-spectrum antibiotics in patients ordered to receive extended-spectrum antibiotics during the empiric period who have low estimated absolute risk (<10%) of MDRO pneumonia, coupled with feedback and education.

Main Outcomes and Measures

The primary outcome was empiric (first 3 days of hospitalization) extended-spectrum antibiotic days of therapy. Secondary outcomes included empiric vancomycin and antipseudomonal days of therapy and safety outcomes included days to intensive care unit (ICU) transfer and hospital length of stay. Outcomes compared differences between baseline and intervention periods across strategies.

Results

Among 59 hospitals with 96 451 (51 671 in the baseline period and 44 780 in the intervention period) adult patients admitted with pneumonia, the mean (SD) age of patients was 68.1 (17.0) years, 48.1% were men, and the median (IQR) Elixhauser comorbidity count was 4 (2-6). Compared with routine stewardship, the group using CPOE prompts had a 28.4% reduction in empiric extended-spectrum days of therapy (rate ratio, 0.72 [95% CI, 0.66-0.78]; P < .001). Safety outcomes of mean days to ICU transfer (6.5 vs 7.1 days) and hospital length of stay (6.8 vs 7.1 days) did not differ significantly between the routine and CPOE intervention groups.

Conclusions and Relevance

Empiric extended-spectrum antibiotic use was significantly lower among adults admitted with pneumonia to non-ICU settings in hospitals using education, feedback, and CPOE prompts recommending standard-spectrum antibiotics for patients at low risk of MDRO infection, compared with routine stewardship practices. Hospital length of stay and days to ICU transfer were unchanged.

Trial Registration

ClinicalTrials.gov Identifier: NCT03697070.

Stewardship Prompts to Improve Antibiotic Selection for Urinary Tract Infection: The INSPIRE Randomized Clinical Trial

Importance

Urinary tract infection (UTI) is the second most common infection leading to hospitalization and is often associated with gram-negative multidrug-resistant organisms (MDROs). Clinicians overuse extended-spectrum antibiotics although most patients are at low risk for MDRO infection. Safe strategies to limit overuse of empiric antibiotics are needed.

Objective

To evaluate whether computerized provider order entry (CPOE) prompts providing patient- and pathogen-specific MDRO risk estimates could reduce use of empiric extended-spectrum antibiotics for treatment of UTI.

Design, Setting, and Participants

Cluster-randomized trial in 59 US community hospitals comparing the effect of a CPOE stewardship bundle (education, feedback, and real-time and risk-based CPOE prompts; 29 hospitals) vs routine stewardship (n = 30 hospitals) on antibiotic selection during the first 3 hospital days (empiric period) in noncritically ill adults (≥18 years) hospitalized with UTI with an 18-month baseline (April 1, 2017-September 30, 2018) and 15-month intervention period (April 1, 2019-June 30, 2020).

Interventions

CPOE prompts recommending empiric standard-spectrum antibiotics in patients ordered to receive extended-spectrum antibiotics who have low estimated absolute risk (<10%) of MDRO UTI, coupled with feedback and education.

Main Outcomes and Measures

The primary outcome was empiric (first 3 days of hospitalization) extended-spectrum antibiotic days of therapy. Secondary outcomes included empiric vancomycin and antipseudomonal days of therapy. Safety outcomes included days to intensive care unit (ICU) transfer and hospital length of stay. Outcomes were assessed using generalized linear mixed-effect models to assess differences between the baseline and intervention periods.

Results

Among 127 403 adult patients (71 991 baseline and 55 412 intervention period) admitted with UTI in 59 hospitals, the mean (SD) age was 69.4 (17.9) years, 30.5% were male, and the median Elixhauser Comorbidity Index count was 4 (IQR, 2-5). Compared with routine stewardship, the group using CPOE prompts had a 17.4% (95% CI, 11.2%-23.2%) reduction in empiric extended-spectrum days of therapy (rate ratio, 0.83 [95% CI, 0.77-0.89]; P < .001). The safety outcomes of mean days to ICU transfer (6.6 vs 7.0 days) and hospital length of stay (6.3 vs 6.5 days) did not differ significantly between the routine and intervention groups, respectively.

Conclusions and Relevance

Compared with routine stewardship, CPOE prompts providing real-time recommendations for standard-spectrum antibiotics for patients with low MDRO risk coupled with feedback and education significantly reduced empiric extended-spectrum antibiotic use among noncritically ill adults admitted with UTI without changing hospital length of stay or days to ICU transfers.

Trial Registration

ClinicalTrials.gov Identifier: NCT03697096.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review

BACKGROUND

Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings.

METHODS

This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies.

RESULTS

Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability.

CONCLUSION

Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Low-risk penicillin allergy delabeling: a scoping review of direct oral challenge practice, implementation, and multi-disciplinary approaches

INTRODUCTION

Penicillin allergy is common, and there is increased clinician interest in direct oral challenge (DOC) as a testing strategy for low-risk penicillin allergy. To aid wider implementation of DOC, consensus definitions of low-risk penicillin allergy phenotypes, and standardized approaches to assessment, DOC procedures, and evaluation, are required.

AREAS COVERED

This review systematically reviews studies that have utilized penicillin DOC in healthcare settings to identify heterogeneity in implementation approaches and synthesize low-risk definitions, procedures, and evaluation.

EXPERT OPINION

Opportunity exists to standardize penicillin DOC procedures in patients with a low-risk penicillin allergy to optimize antimicrobial prescribing and reduce the burden of penicillin allergy. Standardizing the definitions of 'low-risk' and 'positive challenge,' and improving the evaluation of patient safety, alongside the development of a unified approach to the structure of undertaking an oral challenge, is likely to increase uptake and confidence among non-allergist clinicians.

Game changer or gimmick: inflammatory markers to guide antibiotic treatment decisions in neonatal early-onset sepsis

BACKGROUND

The diagnosis of neonatal early-onset sepsis (EOS) is challenging, and inflammatory markers are widely used to guide decision-making and therapies.

OBJECTIVES

This narrative review presents the current state of knowledge regarding the diagnostic value and potential pitfalls in the interpretation of inflammatory markers for EOS.

SOURCES

PubMed until October 2022 and searched references in identified articles using the search terms: neonatal EOS, biomarker or inflammatory marker, and antibiotic therapy or antibiotic stewardship.

CONTENT

In situations with a high or low probability of sepsis, the measurements of inflammatory markers have no impact on the decision to start or stop antibiotics and are just gimmick, whereas they may be a game changer for neonates with intermediate risk and therefore an unclear situation. There is no single or combination of inflammatory markers that can predict EOS with high probability, allowing us to make decisions regarding the start of antibiotics based only on inflammatory markers. The main reason for the limited accuracy is most probably the numerous noninfectious conditions that influence the levels of inflammatory markers. However, there is evidence that C-reactive protein and procalcitonin have good negative predictive accuracy to rule out sepsis within 24 to 48 hours. Nevertheless, several publications have reported more investigations and prolonged antibiotic treatments with the use of inflammatory markers. Given the limitations of current strategies, using an algorithm with only moderate diagnostic accuracy may have a positive impact, as reported for the EOS calculator and the NeoPInS algorithm.

IMPLICATIONS

As the decision regarding the start of antibiotic therapy is different from the process of stopping antibiotics, the accuracy of inflammatory markers needs to be evaluated separately. Novel machine learning-based algorithms are required to improve accuracy in the diagnosis of EOS. In the future, inflammatory markers included in algorithms may be a game changer reducing bias and noise in the decision-making process.

Etiquette of the antibiotic decision-making process for surgical prophylaxis in Ethiopia: a triangulated ethnographic study

Background

Prophylactic antibiotics reduce surgery-associated infections and healthcare costs. While quantitative methods have been widely used to evaluate antibiotic use practices in surgical wards, they fall short of fully capturing the intricacies of antibiotic decision-making in these settings. Qualitative methods can bridge this gap by delving into the often-overlooked healthcare customs that shape antibiotic prescribing practices.

Aim

This study aimed to explore the etiquette of the antibiotic decision-making process of surgical prophylaxis antibiotic use at Tikur Anbessa Specialized Hospital (TASH).

Methods

The observational study was carried out at TASH, a teaching and referral hospital in Addis Ababa, Ethiopia, from 26 August 2021 to 1 January 2022. Overall, 21 business ward rounds, 30 medical record reviews, and 11 face-to-face interviews were performed sequentially to triangulate and cross-validate the qualitative observation. The data were collected until saturation. The data were cleaned, coded, summarized, and analyzed using the thematic analysis approach.

Result

Surgical antibiotic prophylaxis (SAP) discussions were infrequent during surgical ward rounds in TASH, leading to practices that deviated from established recommendations. Clear documentation differentiating SAP from other antibiotic uses was also lacking, which contributed to unjustified extended SAP use in the postoperative period. Missed SAP documentation was common for emergency surgeries, as well as initial dose timing and pre-operative metronidazole administration. Importantly, there was no standardized facility guideline or clinical protocol for SAP use. Furthermore, SAP prescriptions were often signed by junior residents and medical interns, and administration was typically handled by anesthesiologists/anesthetists at the operating theater and by nurses in the wards. This suggests a delegation of SAP decision-making from surgeons to senior residents, then to junior residents, and finally to medical interns. Moreover, there was no adequate representation from pharmacy, nursing, and other staff during ward rounds.

Conclusion

Deeply ingrained customs hinder evidence-based SAP decisions, leading to suboptimal practices and increased surgical site infection risks. Engaging SAP care services and implementing antimicrobial stewardship practices could optimize SAP usage and mitigate SSI risks.

Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore

OBJECTIVES

Artificial intelligence (AI)-driven clinical decision support systems (CDSSs) can augment antibiotic decision-making capabilities, but physicians' hesitancy in adopting them may undermine their utility. We conducted a cross-country comparison of physician perceptions on the barriers and facilitators in accepting an AI-enabled CDSS for antibiotic prescribing.

METHODS

We conducted in-depth interviews with physicians from the National Centre for Infectious Diseases (NCID), Singapore, and Christian Medical College Vellore (CMCV), India, between April and December 2022. Our semi-structured in-depth interview guides were anchored on Venkatesh's UTAUT model. We used clinical vignettes to illustrate the application of AI in clinical decision support for antibiotic prescribing and explore medico-legal concerns.

RESULTS

Most NCID physicians felt that an AI-enabled CDSS could facilitate antibiotic prescribing, while most CMCV physicians were sceptical about the tool's utility. The hesitancy in adopting an AI-enabled CDSS stems from concerns about the lack of validated and successful examples, fear of losing autonomy and clinical skills, difficulty of use, and impediment in work efficiency. Physicians from both sites felt that a user-friendly interface, integration with workflow, transparency of output, a guiding medico-legal framework, and training and technical support would improve the uptake of an AI-enabled CDSS.

CONCLUSION

In conclusion, the acceptance of AI-enabled CDSSs depends on the physician's confidence with the tool's recommendations, perceived ease of use, familiarity with AI, the organisation's digital culture and support, and the presence of medico-legal governance of AI. Progressive implementation and continuous feedback are essential to allay scepticism around the utility of AI-enabled CDSSs.

Health Equity and Antibiotic Prescribing in the United States: A Systematic Scoping Review

We performed a scoping review of articles published from 1 January 2000 to 4 January 2022 to characterize inequities in antibiotic prescribing and use across healthcare settings in the United States to inform antibiotic stewardship interventions and research. We included 34 observational studies, 21 cross-sectional survey studies, 4 intervention studies, and 2 systematic reviews. Most studies (55 of 61 [90%]) described the outpatient setting, 3 articles were from dentistry, 2 were from long-term care, and 1 was from acute care. Differences in antibiotic prescribing were found by patient's race and ethnicity, sex, age, socioeconomic factors, geography, clinician's age and specialty, and healthcare setting, with an emphasis on outpatient settings. Few studies assessed stewardship interventions. Clinicians, antibiotic stewardship experts, and health systems should be aware that prescribing behavior varies according to both clinician- and patient-level markers. Prescribing differences likely represent structural inequities; however, no studies reported underlying drivers of inequities in antibiotic prescribing.

Physician antimicrobial prescribing and patient outcomes on general medical wards: a multicentre retrospective cohort study

BACKGROUND

Variability in antimicrobial prescribing may indicate an opportunity for improvement in antimicrobial use. We sought to measure physician-level antimicrobial prescribing in adult general medical wards, assess the contribution of patient-level factors to antimicrobial prescribing and evaluate the association between antimicrobial prescribing and clinical outcomes.

METHODS

Using the General Medicine Inpatient Initiative (GEMINI) database, we conducted a retrospective cohort study of physician-level volume and spectrum of antimicrobial prescribing in adult general medical wards in 4 academic teaching hospitals in Toronto, Ontario, between April 2010 and December 2019. We stratified physicians into quartiles by hospital site based on volume of antimicrobial prescribing (days of therapy per 100 patient-days and antimicrobial-free days) and antibacterial spectrum (modified spectrum score). The modified spectrum score assigns a value to each antibacterial agent based on the breadth of coverage. We assessed patient-level differences among physician quartiles using age, sex, Laboratory-based Acute Physiology Score, discharge diagnosis and Charlson Comorbidity Index. We evaluated the association of clinical outcomes (in-hospital 30-day mortality, length of stay, intensive care unit [ICU] transfer and hospital readmission) with antimicrobial volume and spectrum using multilevel modelling.

RESULTS

The cohort consisted of 124 physicians responsible for 124 158 hospital admissions. The median physician-level volume of antimicrobial prescribing was 56.1 (interquartile range 51.7-67.5) days of therapy per 100 patient-days. We did not find any differences in baseline patient characteristics by physician prescribing quartile. The difference in mean prescribing between quartile 4 and quartile 1 was 15.8 days of therapy per 100 patient-days (95% confidence interval [CI] 9.6-22.0), representing 30% higher antimicrobial prescribing in the fourth quartile than the first quartile. Patient in-hospital deaths, length of stay, ICU transfer and hospital readmission did not differ by physician quartile. In-hospital mortality was higher among patients cared for by prescribers with higher modified spectrum scores (odds ratio 1.13, 95% CI 1.04-1.24).

INTERPRETATION

We found that physician-level variability in antimicrobial prescribing was not associated with differences in patient characteristics or outcomes in academic general medicine wards. These findings provide support for considering the lowest quartile of physician antimicrobial prescribing within each hospital as a target for antimicrobial stewardship.

Management of sleep disorder by preceptors in a family medicine residency program in Calgary, Alberta: a mixed-methods study

BACKGROUND

Most prescriptions for sedative-hypnotics are written by family physicians. Given the influence of preceptors on residents' prescribing, this study explored how family physician preceptors manage sleeping problems.

METHODS

Family physician preceptors affiliated with a postgraduate training program in Alberta were invited to participate in this mixed-methods study, conducted from January to October 2021. It included a quantitative survey of preceptors' attitudes to treatment options for sleep disorder, perceptions of patient expectations and self-efficacy beliefs. Participants indicated their responses on a 5-point Likert scale ranging from "strongly disagree" to "strongly agree." Respondents were then asked whether they were interested in participating in a semistructured qualitative interview that elicited preceptors' management of sleep disorder in response to a series of vignettes. We analyzed the quantitative data using descriptive statistics and the qualitative interviews using thematic analysis.

RESULTS

Of the 76 preceptors invited to participate, 47 (62%) completed the survey, and 10 were interviewed. Thirty-two survey respondents (68%) were in academic teaching clinics, and 15 (32%) were from community clinics. The majority of participants (34 [72%]) agreed they had sufficient expertise to use nondrug treatment. Most (43 [91%]) had made efforts to reduce prescribing, and 45 (96%) felt able to support patients empathically when not using sleeping medication. The qualitative data showed that management of sleeping disorder was emotionally challenging. Participants hesitated to prescribe sedatives and reported "exceptions" to prescribing, many of which included indications within guideline recommendations. Participants were reluctant to change a colleague's management.

INTERPRETATION

Preceptors were confident using nonpharmacologic management to treat sleep disorder and hesitant to use sedative-hypnotics, presenting legitimate use of sedatives as exceptional behaviour. Acknowledging social norms and affective aspects involved in prescribing may support balanced prescribing of sedative-hypnotics for sleep disorder and reduce physician anxiety.

"What brought you in today?": Modeling patient-provider clinic visits to characterize rural providers' antibiotic treatment decisions

BACKGROUND

Designing clinical decision support (CDS) tools is challenging because clinical decision-making must account for an invisible task load: incorporating non-linear objective and subjective factors to make an assessment and treatment plan. This calls for a cognitive task analysis approach.

OBJECTIVES

The objectives of this study were to 1.) understand healthcare providers' decision making during a typical clinic visit, and 2.) explore how antibiotic treatment decisions are made when they arise.

METHODS

Two cognitive task analysis methods were applied - Hierarchical Task Analysis (HTA) and Operations Sequence Diagramming (OSD) - to 39 h of observational data collected at family medicine, urgent care, and emergency medicine clinical sites.

RESULTS

The resulting HTA models included a coding taxonomy detailing ten cognitive goals and associated sub-goals and demonstrated how the goals occur as interactions between the provider and electronic health record, the patient, and the physical clinic environment. Although the HTA detailed resources for antibiotic treatment decisions, antibiotics were a minority of drug classes ordered. The OSD shows the sequence of events and when decisions are made solely at the provider level and when shared decision making occurs with the patient. Qualitative data from the observations informed a constructed vignette case example portraying select tasks from the HTA.

CONCLUSIONS

These findings emphasize that the scope of disease states presenting to a generalist clinical setting is broad and could include acute exacerbations of rare diseases within a time-pressured environment. CDS must be accessible, time efficient, and fit within the resource gathering task before treatment decisions are made.

Prediction of ciprofloxacin resistance in hospitalized patients using machine learning

BACKGROUND

Ciprofloxacin is a widely used antibiotic that has lost efficiency due to extensive resistance. We developed machine learning (ML) models that predict the probability of ciprofloxacin resistance in hospitalized patients.

METHODS

Data were collected from electronic records of hospitalized patients with positive bacterial cultures, during 2016-2019. Susceptibility results to ciprofloxacin (n = 10,053 cultures) were obtained for Escherichia coli, Klebsiella pneumoniae, Morganella morganii, Pseudomonas aeruginosa, Proteus mirabilis and Staphylococcus aureus. An ensemble model, combining several base models, was developed to predict ciprofloxacin resistant cultures, either with (gnostic) or without (agnostic) information on the infecting bacterial species.

RESULTS

The ensemble models' predictions are well-calibrated, and yield ROC-AUCs (area under the receiver operating characteristic curve) of 0.737 (95%CI 0.715-0.758) and 0.837 (95%CI 0.821-0.854) on independent test-sets for the agnostic and gnostic datasets, respectively. Shapley additive explanations analysis identifies that influential variables are related to resistance of previous infections, where patients arrived from (hospital, nursing home, etc.), and recent resistance frequencies in the hospital. A decision curve analysis reveals that implementing our models can be beneficial in a wide range of cost-benefits considerations of ciprofloxacin administration.

CONCLUSIONS

This study develops ML models to predict ciprofloxacin resistance in hospitalized patients. The models achieve high predictive ability, are well calibrated, have substantial net-benefit across a wide range of conditions, and rely on predictors consistent with the literature. This is a further step on the way to inclusion of ML decision support systems into clinical practice.

Does poverty increase antibiotic prescribing rates through underlying health conditions? Ecological study using parallel mediation analysis

Objective

Effect of social determinants on antibiotic prescribing rates is poorly studied in modern literature. The objective of this study was to explore the effect of the prevalence of poverty (annual household income <$24,999) in each state on antibiotic prescribing rates in outpatient settings per 1,000 population through chronic health conditions (ie, prevalence of obesity, diabetes, and chronic obstructive pulmonary disease) while also adjusting for confounders (ie, prevalence of population aged ≥65 years and physician density in each state).

Design

Ecological study.

Participants

Entire US population.

Methods

Prevalence estimates from all 51 states were used to calculate direct, indirect, and total effects of poverty on the rates of antibiotic prescribing through parallel mediation analysis using linear regression with chronic health conditions (obesity, diabetes, and chronic obstructive pulmonary disease) as mediators. I obtained these data from point-prevalence estimates of 2020 survey results from the Behavioral Risk Factor Surveillance System for rates on poverty, obesity, diabetes, chronic obstructive pulmonary disease, and population aged ≥ 65 years. I also used the Antibiotic Resistance & Patient Safety Portal for antibiotic prescribing rates per 1,000 population and the Association of American Medical Colleges database for the physician density per 100,000 population.

Results

For every percentage increase in prevalence of poverty in each state, the antibiotic prescribing rate increased by 17.4 courses per 1,000 population (95% bootstrap confidence interval, 9.2-24.9) using indirect effects of poverty through mediators.

Conclusions

Antibiotic stewardship programs should consider targeting social determinants of health along with underlying health conditions of patients being treated with antibiotics.

Antibiofilm Potential of Coelomic Fluid and Paste of Earthworm Pheretima posthuma (Clitellata, Megascolecidae) against Pathogenic Bacteria

Antibiotic drug resistance is a global public health issue that demands new and novel therapeutic molecules. To develop new agents, animal secretions or products are used as an alternative agent to overcome this problem. In this study, earthworm (Pheretima posthuma) coelomic fluid (PCF), and body paste (PBP) were used to analyze their effects as antibiofilm agents against four bacterial isolates MH1 (Pseudomonas aeruginosa MT448672), MH2 (Escherichia coli MT448673), MH3 (Staphylococcus aureus MT448675), and MH4 (Klebsiella pneumoniae MT448676). Coelomic fluid extraction and body paste formation were followed by minimum inhibitory concentrations (MICs), biofilm formation time kinetics, and an antibiofilm assay, using heat and cold shock, sunlight exposure auto-digestion, and test tube methods. The results showed that the MIC values of PCF and PBP against S. aureus, P. aeruginosa, K. pneumoniae, and E. coli bacterial isolates ranged from 50 to 100 μg/mL, while, the results related to biofilm formation for P. aeruginosa, S. aureus, and K. pneumoniae strains were observed to be highly significantly increased (p < 0.005) after 72 h. E. coli produced a significant (p < 0.004) amount of biofilm after 48 h. Following time kinetics, the antibiofilm activity of PCF and PBP was tested at different concentrations (i.e., 25-200 μg/mL) against the aforementioned four strains (MH1-MH4). The findings of this study revealed that both PBP (5.61 ± 1.0%) and PCF (5.23 ± 1.5%) at the lowest concentration (25 μg/mL) showed non-significant (p > 0.05) antibiofilm activity against all the selected strains (MH1-MH4). At 50 μg/mL concentration, both PCF and PBP showed significant (p < 0.05) biofilm inhibition (<40%) for all isolates. Further, the biofilm inhibitory potential was also found to be more significant (p < 0.01) at 100 μg/mL of PCF and PBP, while it showed highly significant (p < 0.001) biofilm inhibition at 150 and 200 μg/mL concentrations. Moreover, more than 90% biofilm inhibition was observed at 200 μg/mL of PCF, while in the case of the PBP, <96% biofilm reduction (i.e., 100%) was also observed by all selected strains at 200 μg/mL. In conclusion, earthworm body fluid and paste have biologically active components that inhibit biofilm formation by various pathogenic bacterial strains. For future investigations, there is a need for further study to explore the potential bioactive components and investigate in depth their molecular mechanisms from a pharmaceutical perspective for effective clinical utilization.

Tailoring Antimicrobial Stewardship (AMS) Interventions to the Cultural Context: An Investigation of AMS Programs Operating in Northern Italian Acute-Care Hospitals

Antibiotic misuse and overuse are important contributors to the development of antimicrobial resistance (AMR). Antimicrobial stewardship (AMS) programs are coordinated sets of actions aiming to promote appropriate antibiotic use, improving patient outcomes whilst reducing AMR. Two main organizational models for AMS programs have been described: restrictive strategies (RS) vs. enabling strategies (ES). Evaluating and understanding social and cultural influences on antibiotic decision-making are critical for the development of successful and sustainable context-specific AMS programs. Characteristics and surrogate outcomes of AMS programs operating in acute-care hospitals of Piedmont in north-western Italy were investigated. The aim of this study was assessing whether RS vs. ES operating in our context were associated with different outcomes in terms of total antimicrobial usage and percentage of methicillin-resistant Staphylococcus aureus (MRSA) and carbapenem-resistant enterobacteria (CRE) over invasive isolates. In total, 24 AMS programs were assessed. ES were more frequently chosen compared to RS, with the latter being implemented only in broader AMS programs involving enabling components (combined strategy, CS). This study found no difference in evaluated outcomes among hospitals implementing ES vs. CS, suggesting both approaches could be equally valid in our context.

Tipping the balance: A systematic review and meta-ethnography to unfold the complexity of surgical antimicrobial prescribing behavior in hospital settings

Surgical specialties account for a high proportion of antimicrobial use in hospitals, and misuse has been widely reported resulting in unnecessary patient harm and antimicrobial resistance. We aimed to synthesize qualitative studies on surgical antimicrobial prescribing behavior, in hospital settings, to explain how and why contextual factors act and interact to influence practice. Stakeholder engagement was integrated throughout to ensure consideration of varying interpretive repertoires and that the findings were clinically meaningful. The meta-ethnography followed the seven phases outlined by Noblit and Hare. Eight databases were systematically searched without date restrictions. Supplementary searches were performed including forwards and backwards citation chasing and contacting first authors of included papers to highlight further work. Following screening, 14 papers were included in the meta-ethnography. Repeated reading of this work enabled identification of 48 concepts and subsequently eight overarching concepts: hierarchy; fear drives action; deprioritized; convention trumps evidence; complex judgments; discontinuity of care; team dynamics; and practice environment. The overarching concepts interacted to varying degrees but there was no consensus among stakeholders regarding an order of importance. Further abstraction of the overarching concepts led to the development of a conceptual model and a line-of-argument synthesis, which posits that social and structural mediators influence individual complex antimicrobial judgements and currently skew practice towards increased and unnecessary antimicrobial use. Crucially, our model provides insights into how we might ‘tip the balance’ towards more evidence-based antimicrobial use. Currently, healthcare workers deploy antimicrobials across the surgical pathway as a safety net to allay fears, reduce uncertainty and risk, and to mitigate against personal blame. Our synthesis indicates that prescribing is unlikely to change until the social and structural mediators driving practice are addressed. Furthermore, it suggests that research specifically exploring the context for effective and sustainable quality improvement stewardship initiatives in surgery is now urgent.

Perspectives on the Ethics of Antibiotic Overuse and on the Implementation of (New) Antibiotics

The continuing rise in global antimicrobial resistance is seen by many governments and international organizations as a major threat to worldwide health. This means that many publications have already described the problems concerning the overuse of currently available antibiotics and potential solutions to this crisis, including the development of new alternatives to antibiotics. However, in this manuscript, the authors approach the subject of increasing global antimicrobial resistance from two perspectives not normally covered by previous publications, namely the ethical use of antibiotics and potential issues relating to the implementation of new antibiotics.

Exploration of Primary Care Clinician Attitudes and Cognitive Characteristics Associated With Prescribing Antibiotics for Asymptomatic Bacteriuria

Importance

Antibiotic treatment for asymptomatic bacteriuria is not recommended in guidelines but is a major driver of inappropriate antibiotic use.

Objective

To evaluate whether clinician culture and personality traits are associated with a predisposition toward inappropriate prescribing.

Design, Setting, and Participants

This survey study involved secondary analysis of a previously completed survey. A total of 723 primary care clinicians in active practice in Texas, the Mid-Atlantic, and the Pacific Northwest, including physicians and advanced practice clinicians, were surveyed from June 1, 2018, to November 26, 2019, regarding their approach to a hypothetical patient with asymptomatic bacteriuria. Clinician culture was represented by training background and region of practice. Attitudes and cognitive characteristics were represented using validated instruments to assess numeracy, risk-taking preferences, burnout, and tendency to maximize care. Data were analyzed from November 8, 2021, to March 29, 2022.

Interventions

The survey described a male patient with asymptomatic bacteriuria and changes in urine character. Clinicians were asked to indicate whether they would prescribe antibiotics.

Main Outcomes and Measures

The main outcome was self-reported willingness to prescribe antibiotics for asymptomatic bacteriuria. Willingness to prescribe antibiotics was hypothesized to be associated with clinician characteristics, background, and attitudes, including orientation on the Medical Maximizer-Minimizer Scale. Individuals with a stronger orientation toward medical maximizing prefer treatment even when the value of treatment is ambiguous.

Results

Of the 723 enrolled clinicians, 551 (median age, 32 years [IQR, 29-44 years]; 292 [53%] female; 296 [54%] White) completed the survey (76% response rate), including 288 resident physicians, 202 attending physicians, and 61 advanced practice clinicians. A total of 303 respondents (55%) were from the Mid-Atlantic, 136 (25%) were from Texas, and 112 (20%) were from the Pacific Northwest. A total of 392 clinicians (71% of respondents) indicated that they would prescribe antibiotic treatment for asymptomatic bacteriuria in the absence of an indication. In multivariable analyses, clinicians with a background in family medicine (odds ratio [OR], 2.93; 95% CI, 1.53-5.62) or a high score on the Medical Maximizer-Minimizer Scale (indicating stronger medical maximizing orientation; OR, 2.06; 95% CI, 1.38-3.09) were more likely to prescribe antibiotic treatment for asymptomatic bacteriuria. Resident physicians (OR, 0.57; 95% CI, 0.38-0.85) and clinicians in the Pacific Northwest (OR, 0.49; 95% CI, 0.33-0.72) were less likely to prescribe antibiotics for asymptomatic bacteriuria.

Conclusions and Relevance

The findings of this survey study suggest that most primary care clinicians prescribe inappropriate antibiotic treatment for asymptomatic bacteriuria in the absence of risk factors. This tendency is more pronounced among family medicine physicians and medical maximizers and is less common among resident physicians and clinicians in the US Pacific Northwest. Clinician characteristics should be considered when designing antibiotic stewardship interventions.

Prescribing Patterns for Upper Respiratory Tract Infections: A Prescription-Review of Primary Care Practice in Quetta, Pakistan and the Implications

Background: To identify and address the potential overuse of antibiotics, it is important to ascertain the prescribing practices of physicians. We, therefore, conducted this prescription analysis to document URTI-specific antibiotic prescription frequency in a public primary healthcare setting of Quetta city, Pakistan.

Methods: A retrospective record review was conducted of all prescriptions for URTIs in Combined Military Hospital, Quetta from 1 March to 31st May 2021. The Mann-Whitney U and Jonckheere–Terpstra test was used to evaluate the association between the tendencies of a different group of prescribers. p-value of <0.05 was of statistical significance.

Results: Over the 3 months, 50,705 prescriptions were screened and analyzed according to the established inclusion and exclusion criteria. A total of 4,126 (8.13%) URTI prescriptions met the inclusion criteria, of which 2,880 (69.80%) prescriptions contained antibiotics. Among all antibiotics, penicillins (Amoxicillin + Clavulanate) were the most prescribed antibiotic, constituting 1,323 (45.9%) of total antibiotics prescribed for all cases, followed by the Macrolide group 527 (18.2%). The Jonckheere–Terpstra test revealed a statistically significant association between the status of the prescriber and the diagnosis (p = 0.002). Furthermore, a moderate positive trend was reported with specialists being more competent in antibiotic prescribing based on their diagnosis, followed by postgraduates and house officers (τ = 0.322).

Conclusion: The prescribing patterns for the management of URTIs in the hospital were inconsistent with current guidelines. Strict adherence to guidelines must be ensured and antibiotic prescribing for URTIs should be discouraged.