Association Between Antibiotic Receipt and Provider Rating Within a National Telemedicine Practice.

This retrospective cohort study estimated the association between prescription receipt and provider 5-star rating for adult visits with upper respiratory infections in a national telemedicine practice with active antibiotic stewardship initiatives. The odds of a 5-star rating were higher for visits with an antibiotic or nonantibiotic prescription and longer visits.

Duration from start of antibiotic exposure to onset of Clostridioides difficile infection for different antibiotics in a non-outbreak setting.

BACKGROUND: Antibiotic treatment is a well-known risk factor for Clostridioides difficile infection (CDI). The time from start of antibiotic exposure to onset of CDI for different antibiotics is sparsely studied. CDI with onset in the community is often treatable without in-hospital care while CDI patients treated in hospital need isolation, resulting in higher costs and infection control measures. OBJECTIVES: To determine the time from start of antibiotic exposure to onset of healthcare facility-associated CDI for different antibiotics. METHODS: Time between antibiotic exposure and disease onset was evaluated retrospectively with chart reading in a two-centre Swedish setting. A case was attributed to an antibiotic group if this represented more than 2/3 of total antibiotic exposure 30 days before onset of CDI. RESULTS: Cephalosporins caused CDI faster (mean 7.6 days), and more often during ongoing antibiotic therapy (81% of the cases) than any other antibiotic group. All other common agents had between 2-3 times longer period between start of exposure to onset of CDI (quinolones more than 3 times). CONCLUSIONS: The time gap between antibiotic exposure and onset of CDI is markedly different between different antibiotics. Decreased cephalosporin use could delay onset of healthcare facility-associated CDI and limit infections with onset within the hospital. This might decrease costs for inpatient care, need of infection control measures and shortage of beds in the hospital.

A Bayesian Model Based on Local Phenotypic Resistance Data to Inform Empiric Antibiotic Escalation Decisions.

INTRODUCTION: Clinicians commonly escalate empiric antibiotic therapy due to poor clinical progress without microbiology guidance. When escalating, they should take account of how resistance to an initial antibiotic affects the probability of resistance to subsequent options. The term "escalation antibiogram" (EA) has been coined to describe this concept. One difficulty when applying the EA concept to clinical practice is understanding the uncertainty in results and how this changes for specific patient subgroups. METHODS: A Bayesian model was developed to estimate antibiotic resistance rates in Gram-negative bloodstream infections based on phenotypic resistance data. The model generates a series of "credible" curves to fit the resistance data, each with the same probability of representing the true rate given the inherent uncertainty. To avoid overfitting, an integrated penalisation term adaptively smooths the curves given the level of evidence. RESULTS: Rates of resistance to empiric first-choice and potential escalation antibiotics were calculated for the whole hospitalised population based on 10,486 individual bloodstream infections, and for a range of specific patient groups, including ICU (intensive care unit), haematolo-oncology, and paediatric patients. The model generated an expected value (posterior mean) with 95% credible interval to illustrate uncertainty, based on the size of the patient subgroup. For example, the posterior means of piperacillin/tazobactam resistance rates in Gram-negative bloodstream infection are different between patients on ICU and the general hospital population: 27.3% (95% CI 18.1-37.2 vs. 13.4% 95% CI 11.0-16.1) respectively. The model can also estimate the probability of inferiority between two antibiotics for a specific patient population. Differences in optimal escalation antibiotic options between specific patient groups were noted. CONCLUSIONS: EA analysis informed by our Bayesian model is a useful tool to support empiric antibiotic switches, providing an estimate of local resistance rates, and a comparison of antibiotic options with a measure of the uncertainty in the data. We demonstrate that EAs calculated for the whole hospital population cannot be assumed to apply to specific patient group.

Impact of Selective Reporting of Antibiotic Susceptibility Test Results on Antibiotic Use in Patients with Bloodstream Infection with Streptococcus pneumoniae.

Introduction: Invasive pneumococcal disease is a major cause of morbidity and mortality in infectious diseases. Selective reporting of antibiotic susceptibility test results might lead to a tailored antibiotic therapy and could therefore be an important antibiotic stewardship program intervention. The aim of this study was to analyse whether a switch to selective reporting of antibiotic test results leads to a more focused antibiotic therapy in patients with a bloodstream infection with Streptococcus pneumoniae. Methods: This study was performed as a retrospective cohort study at the University Hospital Regensburg, Germany. All blood cultures positive for Streptococcus pneumoniae between 2006 and 2021 were analysed. In 2014, a switch to selective reporting of antibiotic susceptibility test results omitting sensitivity results for agents not recommended was introduced. Results: Twenty-four hours after final antibiotic susceptibility test results were available, 20.9% before (BI) versus 15.4% after implementation (AI) of selective reporting of antibiotic test results received a narrow-spectrum penicillin, while only 2.3% BI versus 5.8% AI received a narrow-spectrum penicillin from the beginning. Conclusion: Selective reporting of antibiotic susceptibility test results without further antimicrobial stewardship interventions did not lead to a higher use of a narrow-spectrum penicillin in this study.

Artificial Intelligence-Clinical Decision Support System in Infectious Disease Control: Combatting Multidrug-Resistant Klebsiella pneumoniae with Machine Learning.

Purpose: The World Health Organization has identified Klebsiella pneumoniae (KP) as a significant threat to global public health. The rising threat of carbapenem-resistant Klebsiella pneumoniae (CRKP) leads to prolonged hospital stays and higher medical costs, necessitating faster diagnostic methods. Traditional antibiotic susceptibility testing (AST) methods demand at least 4 days, requiring 3 days on average for culturing and isolating the bacteria and identifying the species using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), plus an extra day for interpreting AST results. This lengthy process makes traditional methods too slow for urgent clinical situations requiring rapid decision-making, potentially hindering prompt treatment decisions, especially for fast-spreading infections such as those caused by CRKP. This research leverages a cutting-edge diagnostic method that utilizes an artificial intelligence-clinical decision support system (AI-CDSS). It incorporates machine learning algorithms for the swift and precise detection of carbapenem-resistant and colistin-resistant strains. Patients and Methods: We selected 4307 KP samples out of a total of 52,827 bacterial samples due to concerns about multi-drug resistance using MALDI-TOF MS and Vitek-2 systems for AST. It involved thorough data preprocessing, feature extraction, and machine learning model training fine-tuned with GridSearchCV and 5-fold cross-validation, resulting in high predictive accuracy, as demonstrated by the receiver operating characteristic and area under the curve (AUC) scores, laying the groundwork for our AI-CDSS. Results: MALDI-TOF MS analysis revealed distinct intensity profiles differentiating CRKP and susceptible strains, as well as colistin-resistant Klebsiella pneumoniae (CoRKP) and susceptible strains. The Random Forest Classifier demonstrated superior discriminatory power, with an AUC of 0.96 for detecting CRKP and 0.98 for detecting CoRKP. Conclusion: Integrating MALDI-TOF MS with machine learning in an AI-CDSS has greatly expedited the detection of KP resistance by approximately 1 day. This system offers timely guidance, potentially enhancing clinical decision-making and improving treatment outcomes for KP infections.

Incidence of drug-resistant pathogens in community-acquired pneumonia at a safety net hospital.

The 2019 Infectious Diseases Society of America guideline for the management of community-acquired pneumonia (CAP) emphasizes the need for clinician to understand local epidemiological data to guide selection of appropriate treatment. Currently, the local distribution of causative pathogens and their associated resistance patterns in CAP is unknown. A retrospective observational study was performed of patients admitted to an 870-bed safety net hospital between March 2016 and March 2021 who received a diagnosis of CAP or healthcare-associated pneumonia within the first 48 hours of admission. The primary outcome was the incidence of CAP caused by methicillin-resistant Staphylococcus aureus (MRSA) or Pseudomonas aeruginosa (PsA) as determined by comparing the number of satisfactory sputum cultures or blood cultures with these drug-resistant organisms to the total number of reviewed patients. Secondary outcomes studied included risk factors associated with CAP caused by drug-resistant organisms, utilization of broad-spectrum antibiotics, appropriate antibiotic de-escalation within 72 hours, and treatment duration. In this 220-patient cohort, MRSA or PsA was isolated from three sputum cultures and no blood cultures. The local incidence of drug-resistant pathogens among the analyzed sample of CAP patients was 1.4% (n = 3/220). The overall incidence of CAP caused by MRSA or PsA among admitted patients is low at our safety-net county hospital. Future research is needed to identify local risk factors associated with the development of CAP caused by drug-resistant pathogens.IMPORTANCEThis study investigates the incidence of drug-resistant pathogens including methicillin-resistant Staphylococcus aureus and Pseudomonas aeruginosa among community-acquired pneumonia (CAP) patients at a safety net hospital. Understanding local bacteria resistance patterns when treating CAP is essential and supported by evidence-based guidelines. Our findings empower other clinicians to investigate resistance patterns at their own institutions and identify methods to improve antibiotic use. This has the potential to reduce the unnecessary use of broad-spectrum antibiotic agents and combat the development of antibiotic resistance.

A survey of patient practices regarding leftover antibiotics reveals a potential source of antibiotic overuse.

Taking leftover prescribed antibiotics without consulting a healthcare professional is problematic for the efficacy, safety, and antibiotic stewardship. We conducted a cross-sectional survey of adult patients in English and Spanish between January 2020 and June 2021 in six safety-net primary care clinics and two private emergency departments. We assessed the reasons for stopping prescribed antibiotics early and what was done with the leftover antibiotics. Additionally, we determined 1) prior leftover antibiotic use, 2) intention for future use of leftover antibiotics, and 3) sociodemographic factors. Of 564 survey respondents (median age of 51), 45% (251/564) reported a history of stopping antibiotics early, with 171/409 (42%) from safety net and 80/155 (52%) from the private clinics. The most common reason for stopping prescribed antibiotics early was "because you felt better" (194/251, 77%). Among survey participants, prior use of leftover antibiotics was reported by 149/564 (26%) and intention for future use of leftover antibiotics was reported by 284/564 (51%). In addition, higher education was associated with a higher likelihood of prior leftover use. Intention for future use of leftover antibiotics was more likely for those with transportation or language barriers to medical care and less likely for respondents with private insurance. Stopping prescribed antibiotics early was mostly ascribed to feeling better, and saving remaining antibiotics for future use was commonly reported. To curb nonprescription antibiotic use, all facets of the leftover antibiotic use continuum, from overprescribing to hoarding, need to be addressed.

DDD-costs have a strong influence on antibacterial drug prescription in Germany: a differentiated correlation analysis from 1985 to 2022.

Antibacterial drugs are vital in modern medicine, and understanding the factors influencing their prescriptions is essential for maintaining their effectiveness and accessibility. This study investigates the hypothesis that costs significantly impact the prescriptions of antibacterial drugs, a factor previously underrecognized. To investigate this, we conducted correlation analyses on defined daily dose (DDD-) prescriptions and DDD-costs for the 15 most prescribed antibacterial drugs in Germany in 2022, using data from the Arzneimittelverordnungsreport (Drug Prescription Report) (1985-2022). The analysis focused on the periods 1985-2022, 1985-2011, and 2012-2022. Our findings revealed significant correlations between DDD-prescriptions and -costs for nearly all drugs over the entire period (1985-2022), with strong negative correlations for amoxicillin (- 0.941), cefuroxime axetil (- 0.900), clindamycin (- 0.800), nitrofurantoin (- 0.895), and cefaclor (- 0.819). From 1985 to 2011, only significant negative correlations were observed. In 2012-2022, significant correlations included both negative and positive, with strong positive correlations for ciprofloxacin (0.950) and clarithromycin (0.962). Overall, DDD-costs showed a persistent and strong correlation with DDD-prescriptions, particularly in the earlier period. This influence appears to diminish slightly in recent years, suggesting other factors might become more significant as DDD-costs plateau. Notably, amoxicillin, amoxicillin clavulanic acid, and nitrofurantoin consistently exhibited strong cost-prescription correlations throughout the entire period. While correlation does not imply causation, the significant and strong correlations, coupled with logical explanations, support the hypothesis that costs are a primary factor in prescribing patterns. Further research is needed to establish causality and examine other potential systemic factors affecting antibacterial drug prescriptions.

Antibiotic Use at the End of Life: Current Practice and Ways to Optimize.

Infections are common complications in end of life (EOL). However, clinicians have minimal guidance regarding antibiotic decision-making in EOL care, leading to the overuse of antibiotics. While symptom relief is frequently cited as a major reason for antibiotic use in EOL, antibiotics have not been shown to provide significant improvement in symptoms outside of urinary tract infections. In addition, when prognosis is expected to be in the range of days to weeks, antibiotics have not been shown to provide significant survival benefit. Antibiotics can be beneficial in EOL care in appropriate scenarios, but the current widespread use of antibiotics in EOL requires reevaluation. There needs to be broader efforts to think about antibiotics like other invasive medical procedures in which benefits and risks are weighed, recognizing that not all patients in EOL who receive antibiotics will benefit. In addition, during care planning process, discussing and documenting antibiotic preferences will be beneficial. Non-antibiotic symptom management should be incorporated to plan of care when infection is suspected. Ultimately, the use of antibiotics at EOL should be for the clear benefit for the recipient and should be guided by the type of infection and its clinical course, patients' primary disease and its prognosis, and the preferences of patients or surrogate decision makers.

Mapping the evidence about the natural history of acute infections commonly seen in primary care and managed with antibiotics: a scoping review.

BACKGROUND: Knowing the natural history of acute infections in primary care, defined as the course of a disease over time in the absence of specific therapy or treatment, can inform clinicians' and patients' expectations about illness recovery, but this evidence is fragmented across the literature. This scoping review aimed to map existing research and research gaps relevant to the natural history of acute infections. METHODS: We searched MEDLINE, Embase and CENTRAL using a 2-phase hierarchical search approach. In Phase A, we focused on identifying systematic reviews synthesising natural history data for eligible infections (acute respiratory, urinary, and skin and soft tissue) and systematic reviews of treatment effectiveness (of RCTs with placebo or no treatment arm, or cohort studies). For infections without existing reviews, in Phase B, we searched for primary studies (placebo-controlled RCTs or cohort studies). Two reviewers independently screened and extracted the data (study characteristics, outcome data - e.g., symptom duration, proportion with resolution at various time points). RESULTS: We identified 40 systematic reviews, reporting on 45 infections, most commonly (90%) respiratory tract infections. Six (15%) of these aimed to synthesise natural history information. Most reviews reported the proportion of participants with symptom resolution at various time point/s, with 58% providing data on mean symptom duration. Recovery data show the spontaneous resolution of some infections in some people. We found no eligible studies for cellulitis, ecthyma, carbuncle, and erysipelas. CONCLUSIONS: Our review has shown that natural history evidence exists for many common acute infections. It can be utilised by clinicians in implementing patient-centred antibiotic stewardship strategies in primary care. Future research should focus on generating natural history evidence for skin and soft tissue infections and urinary tract infections.

Antibiotic Stewardship in the Management of Infected Diabetic Foot Ulcer Disease in Less Developed Countries.

BACKGROUND: Diabetic foot ulcers in developing countries often become infected. The healthcare systems are often not equipped to conduct the culture and the sensitivity tests required for prescribing a targeted antibiotic treatment for diabetic foot infection (DFI). METHODS: We evaluate antibiotic stewardship programmes for DFIs, at every level of health care, with an emphasis on resource-poor settings such as in Africa. RESULTS: The management of DFI very often is adapted to the financial and practical realities of the resource-poor regions. The application of the point-of-care Gram stain of deep tissue samples is efficient, rapid, low cost and ubiquitously available. Upon the identification of the predominant pathogen in the Gram stain, a semi-quantitative preemptive antibiotic treatment can be started in accordance with the World Health Organization Aware, Watch and Restrict Essential Medicine List. This list is catered to every country and is a powerful tool. However, some basic knowledge of the local microbiological epidemiology is necessary to choose the most appropriate agent. We report our experience on using the rapidly available Gram stain for narrowing the preemptive choice of listed antibiotic agents, as an economic tool for antibiotic stewardship in DFIs. CONCLUSIONS: In the practical and resource-saving management of DFI, the 'therapeutic' use of Gram stains is not common in resource-rich countries but should be added to the arsenal of the general efforts for antibiotic stewardship.

[Penicillin allergy-Truth or duty?] / Penicillinallergie ­ Wahrheit oder Pflicht?

The beta-lactam antibiotics are some of the safest and best-tolerated antibiotic agents; however, many patients have reported allergies against penicillin. All beta-lactam antibiotics are only restrictively prescribed for these patients and alternative antibiotics are increasingly given, which carries the risk of negative clinical results and socioeconomic sequelae; however, over 95% of patients who reported an allergy to penicillin show a negative result in the allergy tests for penicillin and this antibiotic can safely be prescribed. The use of sensitive and specific instruments for identification of false penicillin allergies should be an important topic within the framework of antibiotic stewardship. Anesthesists can play a central role in the reduction of the enormous individual and public health burden associated with the classification of penicillin allergy by taking an appropriate medical history and a risk stratification for the identification of patients with a penicillin allergy. This overview article presents a possible delabelling algorithm within the framework of the clarification of a beta-lactam antibiotic allergy. The focus is on a structured allergy anamnesis using the penicillin allergy, five or fewer years ago, anaphylaxis/angioedema, severe cutaneous adverse reaction (SCAR) and treatment required for allergy episode (PEN-FAST) score.

Study of the Practice of Surgical Antibiotic Prophylaxis Use for Elective Neurosurgical Cases in a Tertiary Hospital and Understanding the Rationale.

BACKGROUND: This study aims to evaluate the adherence to surgical antibiotic prophylaxis (SAP) guidelines in elective neurosurgery and assess the impact on surgical site infection (SSI) rates in a tertiary teaching hospital in Malaysia. METHOD: A retrospective review was conducted on patients who underwent elective neurosurgical procedures from January 1, 2021, to December 31, 2021, in a 1600-bed tertiary teaching hospital. The study assessed adherence to national and hospital SAP guidelines, focusing on the choice of antibiotic, dosage, timing, and duration. Additionally, a survey was conducted among neurosurgeons to evaluate their knowledge, attitudes and practices (KAP) regarding SAP. RESULT: Out of 202 patients included, there was a 99% compliance rate with antibiotic choice and 69.8% with the antibiotic duration. The SSI rate was identified at 6.4%. The KAP survey highlighted a strong awareness of SAP guidelines among surgeons, albeit with variations in practice, particularly in antibiotic duration and choice of antibiotics. CONCLUSION: While there is high adherence to the correct choice of antibiotic for SAP in elective neurosurgery, there are gaps in compliance with the recommended duration of antibiotic use. The study highlights the need for targeted interventions to improve adherence to SAP guidelines, which could potentially reduce the incidence of SSI in neurosurgery. Ongoing education and auditing are essential to optimize SAP practices and enhance patient outcomes in neurosurgery.

Improving Antibiotic Prescribing for Children with Community-acquired Pneumonia in Outpatient Settings.

OBJECTIVE: To assess whether a two-phase intervention was associated with improvements in antibiotic prescribing among nonhospitalized children with community-acquired pneumonia. STUDY DESIGN: In a large health care organization, a first intervention phase was implemented in September 2020 directed at antibiotic choice and duration for children 2 months through 17 years of age with pneumonia. Activities included clinician education and implementation of a pneumonia-specific order set in the electronic health record. In October 2021, a second phase comprised additional education and order set revisions. A narrow spectrum antibiotic (eg, amoxicillin) was recommended in most circumstances. Electronic health record data were used to identify pneumonia cases and antibiotics ordered. Using interrupted time series analyses, antibiotic choice and duration after phase one (September 2020-September 2021) and after phase two (October 2021-October 2022) were compared with a preintervention prepandemic period (January 2016-early March 2020). RESULTS: Overall, 3570 cases of community-acquired pneumonia were identified: 3246 cases preintervention, 98 post-phase one, and 226 post-phase two. The proportion receiving narrow spectrum monotherapy increased from 40.6% preintervention to 68.4% post-phase one to 69.0% post-phase two (P < .001). For children with an initial narrow spectrum antibiotic, duration decreased from preintervention (mean duration 9.9 days, SD 0.5 days) to post-phase one (mean 8.2, SD 1.9) to post-phase two (mean 6.8, SD 2.3) periods (P < .001). CONCLUSIONS: A two-phase intervention with educational sessions combined with clinical decision support was associated with sustained improvements in antibiotic choice and duration among children with community-acquired pneumonia.

Safe Penicillin Allergy Delabeling in Primary Care: A Systematic Review and Meta-Analysis.

BACKGROUND: Ten percent of the population is labeled as allergic to penicillin(s), when in fact 90% of these labels are inappropriate. Recent studies have shown that inpatient delabeling by a direct drug challenge (dDC) is safe in low-risk patients. However, there is a need for outpatient and nonallergist delabeling. OBJECTIVE: To assess the safety of delabeling low-risk adults by means of dDC in primary care. METHODS: We searched the MEDLINE, Embase, and Cochrane Library databases from inception to March 15, 2022 (updated June 5, 2023) for studies performing dDC in adults in primary care or other outpatient settings. Two researchers independently screened studies for eligibility. The data extraction and critical appraisal were performed by 1 reviewer, and we pooled the results in a meta-analysis. RESULTS: Of 2138 results, 12 studies (1070 participants) were eligible for inclusion. Three studies evaluated delabeling in primary care and 9 studies in an outpatient hospital setting. There were no critical adverse events during dDC. No reaction occurred in 97.13% of the 1070 patients, who previously labeled as penicillin-allergic, and were safely delabeled. Ten patients (<1%) developed an immediate reaction: 3 had self-limiting reactions and 7 needed antihistaminics, steroids, epinephrine, and/or salbutamol. CONCLUSIONS: No serious allergic reactions are observed during direct amoxicillin challenge in adults in an outpatient setting. However, with the exception of 1 recent report, these studies are of low to moderate quality. Nonspecialist delabeling is promising, but further research is required on correct risk stratification and safety assessment in large cohort studies evaluating dDC in primary care.

A Transperineal Biopsy of the Prostate Does Not Require Routine Antibiotic Cover.

Introduction A transperineal ultrasound-guided prostate biopsy (TPB) under local anaesthetics (LA) after a prostate MRI scan is the gold standard for performing a prostate biopsy in patients with suspected prostate cancer. It has superseded transrectal ultrasound-guided prostate biopsy (TRUSB). Historically, TRUSB by definition was performed in a contaminated environment and was routinely covered with antibiotics to reduce the risks of infection. Despite this, the rate of post-biopsy urosepsis has been documented to be as high as 5% in some series. In the transition from TRUSB to the establishment of a TPB under LA service in our unit, we continued to use a single dose of oral antibiotics for all patients attending for biopsy. The aim of this study is to establish whether the use of single-dose antibiotics has any effect on morbidity rates post-TPB. Methods A retrospective analysis of complications was carried out on 326 consecutive patients, who underwent TPB over a six-month period. One cohort of patients were biopsied with no antibiotic cover (n=149, 45.7%) as compared to another cohort who were given a single dose of oral antibiotics (n=177, 54.3%). Those patients in the group receiving antibiotics received either a single dose of co-amoxiclav or a single dose of ciprofloxacin. Patients with indwelling urethral catheters or with a urinary tract infection (UTI) were excluded from the analyses. All patients were followed- up after a multidisciplinary team meeting discussion (MDT) with either a telephone or a face-to-face consultation. Results A total of 324 (99.4%) patients did not report post-procedural complications. Two patients from the antibiotic group presented with infectious complications (1.1%); one patient was admitted with a prostate abscess and required drainage under general anaesthesia, and another was admitted with urosepsis requiring intravenous antibiotics. In the group who did not receive antibiotics, there were no complications reported, which was not significantly different compared to the antibiotic group (p=0.50). Conclusion Our results demonstrate that the routine use of single-dose antibiotics with TPB does not affect morbidity rates. On the basis of this investigation, we have now stopped using routine antibiotic cover for patients undergoing an LA TPB.

Assessment of challenges and opportunities in antibiotic stewardship program implementation in Northwest Ethiopia.

Background: Indiscriminate use of antibiotics leads to antibiotic resistance (AMR) and results in mortality, morbidity, and financial burden. Antibiotic stewardship programs (ASPs) with education can resolve a number of barriers recognized in the implementation of successful ASPs. The aim of this study was to assess health professionals' perceptions and status of ASPs in hospitals in 2022. Methods: A cross-sectional study was conducted from September 1, 2022 to October 30, 2022. A total of 181 health professionals were included, and a self-administered questionnaire was used to collect data. The status of hospitals was assessed using a checklist. The data were analyzed using SPSS version 23, and descriptive statistics and Chi-square tests (X2) at a P-value of <0.05 were used. Results: Of the 181 respondents, 163 (90.1 %), and 161 (89.0 %) believed that AMR is a significant problem in Ethiopia and globally, respectively. Easy access to antibiotics 155 (85.6 %), and inappropriate use 137 (75.7 %) were perceived as key contributors to AMR. Antibiotics were believed to be prescribed/dispensed without laboratory results 86 (47.5 %), and antibiotic susceptibility patterns were not considered to guide empiric therapy 81 (44.8 %). ASP was believed to reduce the duration of hospital stays and associated costs 137 (75.7 %), and improve the quality of patient care 133 (73.5 %), whereas 151 (83.4 %), 143 (79 %), and 142 (78.5 %) suggested education, institutional guidelines, and prospective audits with feedback interventions to combat AMR in their hospitals, respectively. There were significant differences in perception among professionals based on professional category and attempts by hospitals to implement ASPs. Although ASPs were not functioning according to standard, there have been attempts to implement it in three hospitals. The issue of ASP had never been heard in general hospitals. Currently, it is feasible to implement ASPs in four hospitals. Conclusion: The status of ASP in hospitals was very poor. Despite a lack of prior knowledge on ASPs, most respondents do have a positive perception of AMR and the implementation of ASPs. Pharmacist-led prospective audits and feedback with education and institutional guidelines for empiric antibiotic use can be better implemented in hospitals. Involvement of representatives from infection prevention and control, and collaboration among hospitals in ASP implementation will help establish a strong ASP in the area.