Cost Of Antimicrobial Resistance Research Articles

Budget impact analysis on the use of Sysmex PA-100 AST system as a point of care for uncomplicated urinary tract infections detection and treatment in Spanish females

Objective Efficient diagnostic methods, such as the Sysmex PA-100, provide rapid antimicrobial susceptibility test results directly from urine samples with high sensitivity and specificity, and improve treatment recommendations. Our study analyzes the economic impact of integrating the Sysmex PA-100 to assess its potential benefits and cost implications for uncomplicated urinary tract infection (uUTI) management in Spain. Methodology A budget impact model was developed using a decision tree framework to compare current UTI management practices with a new scenario incorporating the Sysmex PA-100. The clinical inputs were extracted from published literature. The model, representing adult females with uUTIs, assessed direct medical and indirect costs over three years, including diagnostic procedures, treatment costs, staff time costs, and productivity loss. The cost data was captured from two Spanish hospitals. Two scenario analyses were conducted in the model: scenario A included costs for antimicrobial resistance (AMR) emergence in patients receiving unnecessary empirical antibiotics, whereas scenario B assumed no AMR costs. Results In scenario A, 100% implementation of PA-100 within various Spanish healthcare settings over one year resulted in total cost savings of EUR 323,657,712 (EUR 119.10 per patient per year). The total overall cost savings attributable to the implementation of PA-100 over three years were EUR 970,973,137. In scenario B, the total annual savings were EUR 4,254,795 (EUR 1.57 per patient per year), and the 3-year savings were EUR 12,764,385. Conclusion The adoption of this point-of-care system results in overall cost savings, driven by reductions in direct and indirect costs related to UTI management. The model highlights potential savings over three years owing to appropriate rapid management (reduction in time to diagnosis and treatment, which leads to fewer complications and secondary infections) and reduced staff time and productivity loss costs. These findings support the potential benefits of adopting the Sysmex PA-100 to enhance UTI management and allocate healthcare resource utilization in Spain.

Economic evaluation of antimicrobial resistance in curable sexually transmitted infections; a systematic review and a case study.

To provide a summary of the economic and methodological evidence on capturing antimicrobial resistance (AMR) associated costs for curable sexually transmitted infections (STIs). To explore approaches for incorporating the cost of AMR within an economic model evaluating different treatment strategies for gonorrhoea, as a case study. A systematic review protocol was registered on PROSPERO (CRD42022298232). MEDLINE, EMBASE, CINAHL, Cochrane Library, International Health Technology Assessment Database, National Health Service Economic Evaluation Database, and EconLit databases were searched up to August 2022. Included studies were analysed, quality assessed and findings synthesised narratively. Additionally, an economic evaluation which incorporated AMR was undertaken using a decision tree model and primary data from a randomised clinical trial comparing gentamicin therapy with standard treatment (ceftriaxone). AMR was incorporated into the evaluation using three approaches-integrating the additional costs of treating resistant infections, conducting a threshold analysis, and accounting for the societal cost of resistance for the antibiotic consumed. Twelve studies were included in the systematic review with the majority focussed on AMR in gonorrhoea. The cost of ceftriaxone resistant gonorrhoea and the cost of ceftriaxone sparing strategies were significant and related to the direct medical costs from persistent gonorrhoea infections, sequelae of untreated infections, gonorrhoea attributable-HIV transmission and AMR testing. However, AMR definition, the collection and incorporation of AMR associated costs, and the perspectives adopted were inconsistent or limited. Using the review findings, different approaches were explored for incorporating AMR into an economic evaluation comparing gentamicin to ceftriaxone for gonorrhoea treatment. Although the initial analysis showed that ceftriaxone was the cheaper treatment, gentamicin became cost-neutral if the clinical efficacy of ceftriaxone reduced from 98% to 92%. By incorporating societal costs of antibiotic use, gentamicin became cost-neutral if the cost of ceftriaxone treatment increased from £4.60 to £8.44 per patient. Inclusion of AMR into economic evaluations may substantially influence estimates of cost-effectiveness and affect subsequent treatment recommendations for gonorrhoea and other STIs. However, robust data on the cost of AMR and a standardised approach for conducting economic evaluations for STI treatment which incorporate AMR are lacking, and requires further developmental research.

A trial-based cost-effectiveness analysis of antibiotic prescription strategies for non-complicated respiratory tract infections in children

BackgroundAntibiotic prescription for respiratory tract infections (RTIs) in children attending primary care centres is almost double that predicted according to bacterial prevalence. Delayed antibiotic prescription (DAP) is designed to deploy a more rational use of antibiotics. While studies have evaluated DAP efficacy and safety for children with RTIs, little research has been conducted on the economic implications.MethodsOur trial compared cost-effectiveness for DAP, immediate antibiotic prescription (IAP), and no antibiotic prescription (NAP) for children aged 2–14 years with acute uncomplicated RTIs attended to in 39 primary care centres in Spain. The main outcome was the incremental cost-effectiveness ratio (ICER), measured in euros per gained quality-adjusted life days (QALDs). Net monetary benefit (NMB) was also calculated as a tool for decision making. The analysis was performed from a societal perspective for a time horizon of 30 days, and included healthcare direct costs, non-healthcare direct and indirect costs, and the antimicrobial resistance (AMR) cost.ResultsDAP was the most cost-effective strategy, even when the cost of AMR was included. QALD values for the three strategies were very similar. IAP compared to DAP was more costly (109.68 vs 100.90 euros) and similarly effective (27.88 vs 27.94 QALDs). DAP compared to NAP was more costly (100.90 vs 97.48 euros) and more effective (27.94 vs. 27.82 QALDs). The ICER for DAP compared to NAP was 28.84 euros per QALD. The deterministic sensitivity analysis indicated that non-healthcare indirect costs had the greatest impact on the ICER. The cost-effectiveness acceptability curve showed that DAP was the preferred option in approximately 81.75% of Monte Carlo iterations, assuming a willingness-to-pay value of 82.2 euros per gained QALD.ConclusionsWhen clinicians are in doubt about whether an antibiotic is needed for children with RTIs attending PC centres, those treated with the DAP strategy will have slightly better efficiency outcomes than those treated with IAP because its costs are lower than those of IAP. DAP is also the most cost-effective strategy over a time horizon of 30 days if AMR is considered, despite higher short-term costs than NAP. However, if in the long term the costs of AMR are larger than estimated, NAP could also be an alternative strategy.Trial registrationThis trial has been registered at www.clinicaltrials.gov (identifier NCT01800747; Date: 28/02/2013 (retrospectively registered).

The fitness cost of horizontally transferred and mutational antimicrobial resistance in Escherichia coli.

Antimicrobial resistance (AMR) in bacteria implies a tradeoff between the benefit of resistance under antimicrobial selection pressure and the incurred fitness cost in the absence of antimicrobials. The fitness cost of a resistance determinant is expected to depend on its genetic support, such as a chromosomal mutation or a plasmid acquisition, and on its impact on cell metabolism, such as an alteration in an essential metabolic pathway or the production of a new enzyme. To provide a global picture of the factors that influence AMR fitness cost, we conducted a systematic review and meta-analysis focused on a single species, Escherichia coli. By combining results from 46 high-quality studies in a multilevel meta-analysis framework, we find that the fitness cost of AMR is smaller when provided by horizontally transferable genes such as those encoding beta-lactamases, compared to mutations in core genes such as those involved in fluoroquinolone and rifampicin resistance. We observe that the accumulation of acquired AMR genes imposes a much smaller burden on the host cell than the accumulation of AMR mutations, and we provide quantitative estimates of the additional cost of a new gene or mutation. These findings highlight that gene acquisition is more efficient than the accumulation of mutations to evolve multidrug resistance, which can contribute to the observed dominance of horizontally transferred genes in the current AMR epidemic.

Economic evaluation of antimicrobial stewardship in primary care: a systematic review and quality assessment

BackgroundPrimary care accounts for 80%–90% of antimicrobial prescriptions, making this setting an important focus for antimicrobial stewardship (AMS) interventions.ObjectivesTo collate the findings and critically appraise the qualities of economic evaluation studies of AMS or related interventions aimed at reducing inappropriate antimicrobial prescribing in primary care.MethodsA systematic review of economic evaluations of interventions aimed at reducing inappropriate antimicrobial prescribing in primary care was performed. Published literature were retrieved through a search of Medline, Embase, EconLit and Web of Science databases for the period 2010 to 2020. The quality of the studies was assessed using the Consensus on Health Economic Criteria checklist and Good Practice Guidelines for Decision-Analytic Modelling in Health Technology Assessment.ResultsOf the 2722 records identified, 12 studies were included in the review (8 trial-based and 4 modelled evaluations). The most common AMS interventions were communication skills training for health professionals and C-reactive protein point-of-care testing (CRP-POCT). Types of economic evaluations included in the review were cost-effectiveness (7 studies), cost-utility (1), cost-benefit (2), cost-effectiveness and cost-utility (1) and cost analysis (1). While six of the studies found AMS interventions to be cost-effective, the other six reported them as not cost-effective or inconclusive. The quality of the studies ranged from good to low.ConclusionsThere were significant variations in cost-effectiveness of AMS interventions across studies and depending on the inclusion of cost components such as the cost of antimicrobial resistance. However, communication skills training and CRP-POCT were frequently cost-effective or cost-beneficial for reducing inappropriate antimicrobial prescribing.

Cost-effectiveness of point-of-care C-Reactive Protein test compared to current clinical practice as an intervention to improve antibiotic prescription in malaria-negative patients in Afghanistan.

Antimicrobial resistance (AMR) is a global health problem requiring a reduction in inappropriate antibiotic prescribing. Point-of-Care C-Reactive Protein (POCCRP) tests could distinguish between bacterial and non-bacterial causes of fever in malaria-negative patients and thus reduce inappropriate antibiotic prescribing. However, the cost-effectiveness of POCCRP testing is unclear in low-income settings. A decision tree model was used to estimate cost-effectiveness of POCCRP versus current clinical practice at primary healthcare facilities in Afghanistan. Data were analysed from healthcare delivery and societal perspectives. Costs were reported in 2019 USD. Effectiveness was measured as correctly treated febrile malaria-negative patient. Cost, effectiveness and diagnostic accuracy parameters were obtained from primary data from a cost-effectiveness study on malaria rapid diagnostic tests in Afghanistan and supplemented with POCCRP-specific data sourced from the literature. Incremental cost-effectiveness ratios (ICERs) reported the additional cost per additional correctly treated febrile malaria-negative patient over a 28-day time horizon. Univariate and probabilistic sensitivity analyses examined the impact of uncertainty of parameter inputs. Scenario analysis included economic cost of AMR per antibiotic prescription. The model predicts that POCCRP intervention would result in 137 fewer antibiotic prescriptions (6%) with a 12% reduction (279 prescriptions) in inappropriate prescriptions compared to current clinical practice. ICERs were $14.33 (healthcare delivery), $11.40 (societal), and $9.78 (scenario analysis) per additional correctly treated case. POCCRP tests could improve antibiotic prescribing among malaria-negative patients in Afghanistan. Cost-effectiveness depends in part on willingness to pay for reductions in inappropriate antibiotic prescribing that will only have modest impact on immediate clinical outcomes but may have long-term benefits in reducing overuse of antibiotics. A reduction in the overuse of antibiotics is needed and POCCRP tests may add to other interventions in achieving this aim. Assessment of willingness to pay among policy makers and donors and undertaking operational trials will help determine cost-effectiveness and assist decision making.

The Requirement of Genetic Diagnostic Technologies for Environmental Surveillance of Antimicrobial Resistance

Antimicrobial resistance (AMR) is threatening modern medicine. While the primary cost of AMR is paid in the healthcare domain, the agricultural and environmental domains are also reservoirs of resistant microorganisms and hence perpetual sources of AMR infections in humans. Consequently, the World Health Organisation and other international agencies are calling for surveillance of AMR in all three domains to guide intervention and risk reduction strategies. Technologies for detecting AMR that have been developed for healthcare settings are not immediately transferable to environmental and agricultural settings, and limited dialogue between the domains has hampered opportunities for cross-fertilisation to develop modified or new technologies. In this feature, we discuss the limitations of currently available AMR sensing technologies used in the clinic for sensing in other environments, and what is required to overcome these limitations.

Potential Strategies to Improve Antimicrobial Utilisation in Hospitals in Bangladesh Building on Experiences Across Developing Countries

Abstract not available
 Bangladesh Journal of Medical Science Vol.20(3) 2021 p.469-477

A one health framework to estimate the cost of antimicrobial resistance

Objectives/purposeThe costs attributable to antimicrobial resistance (AMR) remain theoretical and largely unspecified. Current figures fail to capture the full health and economic burden caused by AMR across human, animal, and environmental health; historically many studies have considered only direct costs associated with human infection from a hospital perspective, primarily from high-income countries. The Global Antimicrobial Resistance Platform for ONE-Burden Estimates (GAP-ON€) network has developed a framework to help guide AMR costing exercises in any part of the world as a first step towards more comprehensive analyses for comparing AMR interventions at the local level as well as more harmonized analyses for quantifying the full economic burden attributable to AMR at the global level.MethodsGAP-ON€ (funded under the JPIAMR 8th call (Virtual Research Institute) is composed of 19 international networks and institutions active in the field of AMR. For this project, the Network operated by means of Delphi rounds, teleconferences and face-to-face meetings. The resulting costing framework takes a bottom-up approach to incorporate all relevant costs imposed by an AMR bacterial microbe in a patient, in an animal, or in the environment up through to the societal level.ResultsThe framework itemizes the epidemiological data as well as the direct and indirect cost components needed to build a realistic cost picture for AMR. While the framework lists a large number of relevant pathogens for which this framework could be used to explore the costs, the framework is sufficiently generic to facilitate the costing of other resistant pathogens, including those of other aetiologies.ConclusionIn order to conduct cost-effectiveness analyses to choose amongst different AMR-related interventions at local level, the costing of AMR should be done according to local epidemiological priorities and local health service norms. Yet the use of a common framework across settings allows for the results of such studies to contribute to cumulative estimates that can serve as the basis of broader policy decisions at the international level such as how to steer R&D funding and how to prioritize AMR amongst other issues. Indeed, it is only by building a realistic cost picture that we can make informed decisions on how best to tackle major health threats.

The cost-effectiveness of azithromycin in reducing exacerbations in uncontrolled asthma.

Add-on azithromycin (AZM) results in a significant reduction in exacerbations among adults with persistent uncontrolled asthma. The aim of this study was to assess the cost-effectiveness of add-on AZM in terms of healthcare and societal costs.The AMAZES trial randomly assigned 420 participants to AZM or placebo. Healthcare use and asthma exacerbations were measured during the treatment period. Healthcare use included all prescribed medicine and healthcare contacts. Costs of antimicrobial resistance (AMR) were estimated based on overall consumption and published estimates of costs. The value of an avoided exacerbation was based on published references. Differences in cost between the two groups were related to differences in exacerbations in a series of net monetary benefit estimates. Societal costs included lost productivity, over the counter medicines, steroid induced morbidity and AMR costs.Add-on AZM resulted in a reduction in healthcare costs (mean (95% CI)) including nights in hospital (AUD 433.70 (AUD 48.59-818.81) or EUR 260.22 (EUR 29.15-491.29)), unplanned healthcare visits (AUD 20.25 (AUD 5.23-35.27) or EUR 12.15 (EUR 3.14-21.16)), antibiotic costs (AUD 14.88 (AUD 7.55-22.21) or EUR 8.93 (EUR 4.53-13.33)) and oral corticosteroid costs (AUD 4.73 (AUD 0.82-8.64) or EUR 2.84 (EUR 0.49-5.18)); all p<0.05. Overall healthcare and societal costs were lower (AUD 77.30 (EUR 46.38) and AUD 256.22 (EUR 153.73) respectively) albeit not statistically significant. The net monetary benefit of add-on AZM was estimated to be AUD 2072.30 (95% CI AUD 1348.55-2805.23) or (EUR 1243.38 (EUR 809.13-1683.14) assuming a willingness to pay per exacerbation avoided of AUD 2651 (EUR 1590.60). Irrespective of the sensitivity analysis applied, the net monetary benefit for total, moderate and severe exacerbations remained positive and significant.Add-on AZM therapy in poorly controlled asthma was a cost-effective therapy. Costs associated with AMR did not influence estimated cost-effectiveness.

Impact of Antibiotic Resistance on Treatment of Pneumococcal Disease in Ethiopia: An Agent-Based Modeling Simulation

Antimicrobial resistance (AMR) is a growing threat to global health. Although AMR endangers continued effectiveness of antibiotics, the impact of AMR has been poorly estimated in low-income countries. This study sought to quantify the effect of AMR on treatments for pediatric pneumococcal disease in Ethiopia. We developed the DREAMR (Dynamic Representation of the Economics of AMR) model that simulate children younger than 5 years who acquire pneumococcal disease (pneumonia, meningitis, and acute otitis media) and seek treatment from various health facilities in Ethiopia over a year. We examined the AMR levels of three antibiotics (penicillin, amoxicillin, and ceftriaxone), treatment failures, and attributable deaths. We used the cost-of-illness method to assess the resulting economic impact of AMR from a societal perspective by estimating the direct and indirect treatment costs and productivity losses. Findings showed that AMR against antibiotics that were used to treat pneumococcal disease led to 195,763 treatment failures per year, which contributed to 2,925 child deaths annually in Ethiopia. Antimicrobial resistance resulted in a first-line treatment failure rate of 29.4%. In 1 year, the proportion of nonsusceptible Streptococcus pneumoniae bacteria increased by 2.1% and 0.5% for amoxicillin and penicillin, and reduced by 0.3% for less commonly used ceftriaxone. Annual costs of AMR to treat pneumococcal disease were around US$15.8 million, including US$3.3 million for ineffective first-line treatments, US$3.7 million for second-line treatments, and US$8.9 million for long-term productivity losses. Antibiotic stewardship to reduce misuse and overuse of antibiotics is essential to maintain the effectiveness of antibiotics, and lessen the health and economic burden of AMR.

PIN132 HEALTH-ECONOMIC MODELLING OF INFECTIOUS DISEASE DIAGNOSTICS: CURRENT APPROACHES AND FUTURE OPPORTUNITIES

Objectives: Antimicrobial resistance (AMR) is a public health threat; infections with resistant organisms are estimated to cause over 650.000 infections and over 30.000 deaths in Europe. AMR is associated with antibiotic consumption: appropriate prescribing of antibiotics is key in combating AMR. To fight this threat, it has been suggested that point-of-care diagnostics to inform antibiotics prescribing are an important tool in reducing antibiotics prescriptions. With the objective of knowing the state of the art, we reviewed diagnostic cost-effectiveness analyses (CEAs) for infectious disease, focussing on model types, effects on prescriptions and AMR. Methods: We searched the literature comprehensively through the PUBMED, Web of Science and EMBASE databases, as well as grey literature for the period 2000-2018. We included economic evaluations for diagnostic strategies for infectious disease in all geographic areas. Data extraction was based on the Consolidated Health Economic Evaluation Reporting Standards statement, with an additional focus on the modelling type and inclusion of AMR. Results: In general, CEAs of diagnostics for infectious disease fall in two categories: trial-based cost-effectiveness, focusing on short-term outcomes, and long-term models, focusing on outcomes extrapolated beyond the trial. Outcomes measured are for example prescriptions saved or hospitalizations saved. Cost-utility analyses seem to be difficult, as QALY differences between various diagnostic strategies are minor. Antimicrobial resistance is considered indirectly: as an ICER with prescriptions saved as an outcome; by calculating the threshold cost of resistance that would change the conclusion of cost-effectiveness; or as a point estimate; often, it is not considered at all. Conclusions: CEAs of diagnostic strategies for infectious disease are relatively scarce and it can be challenging to prove the cost-effectiveness of diagnostic strategies, especially in the context of relatively inexpensive treatments, such as antibiotics. However, there is an important opportunity of including the societal costs of AMR in future CEAs.

PIN43 THE ECONOMIC BURDEN OF ANTIMICROBIAL RESISTANCE: RESULTS FROM A TARGETED LITERATURE REVIEW

Antimicrobial resistance (AMR) is an urgent threat that impacts the ability to prevent and treat infections. Often, an economic case is required for adequate investment in AMR programs such as infection prevention and antimicrobial stewardship. This review aims to evaluate methodologies used to assess the economic burden of AMR and summarizes the published cost data. A targeted literature review on the economic burden of AMR was conducted in PubMed (2014-2018); relevant peer-reviewed, English language articles were included. Cost estimates were converted to 2018 US dollars. The targeted search yielded 24 relevant articles for final inclusion. These articles evaluated the economic impact of resistance in Acinetobacter, Enterobacteriaceae, Enterococcus, Pseudomonas, Staphylococcus, Streptococcus, and resistant infections, more broadly. Data originated from 15 different countries worldwide and examined costs from patient, payer, provider, and societal perspectives. The majority of articles (12/15) determined that resistance had a statistically significant impact on direct healthcare costs when compared to susceptible infections. However, the estimated costs of AMR had considerable variation due to heterogeneity in definitions, study populations, care settings, cost data, and methodology (e.g. matched case-control, multi-state modeling, regression analysis, etc.). Per case healthcare costs for patients with methicillin-resistant Staphylococcus aureus ranged from $2,733-290,483, resistant Acinetobacter ranged from $4,003-37,414, and carbapenem-resistant Enterobacteriaceae ranged from $11,361-39,291. At current rates of resistance, economic modelling estimates that AMR could cost the global economy over $500 billion per year by 2050. This review highlights AMR as a micro- and macro-economic burden impacting patients and healthcare systems across the world. Infection prevention and antimicrobial stewardship have been broadly recognized as strategies to control the burden of AMR. Tools to assess the economic burden of AMR could be valuable for countries, health care systems and facilities to prioritize these efforts to reduce AMR.

Using the best available data to estimate the cost of antimicrobial resistance: a systematic review

BackgroundValuation of the economic cost of antimicrobial resistance (AMR) is important for decision making and should be estimated accurately. Highly variable or erroneous estimates may alarm policy makers and hospital administrators to act, but they also create confusion as to what the most reliable estimates are and how these should be assessed. This study aimed to assess the quality of methods used in studies that quantify the costs of AMR and to determine the best available evidence of the incremental cost of these infections.MethodsIn this systematic review, we searched PubMed, Embase, Cinahl, Cochrane databases and grey literature sources published between January 2012 and October 2016. Articles reporting the additional burden of Enterococcus spp., Escherichia coli (E. coli), Klebsiella pneumoniae (K. pneumoniae), Pseudomonas aeruginosa (P. aeruginosa) and Staphylococcus aureus (S. aureus) resistant versus susceptible infections were sourced. The included studies were broadly classified as reporting oncosts from the healthcare/hospital/hospital charges perspective or societal perspective. Risk of bias was assessed based on three methodological components: (1) adjustment for length of stay prior to infection onset and consideration of time-dependent bias, (2) adjustment for comorbidities or severity of disease, and (3) adjustment for inappropriate antibiotic therapy.ResultsOf 1094 identified studies, we identified 12 peer-reviewed articles and two reports that quantified the economic burden of clinically important resistant infections. Two studies used multi-state modelling to account for the timing of infection minimising the risk of time dependent bias and these were considered to generate the best available cost estimates. Studies report an additional CHF 9473 per extended-spectrum beta-lactamases -resistant Enterobacteriaceae bloodstream infections (BSI); additional €3200 per third-generation cephalosporin resistant Enterobacteriaceae BSI; and additional €1600 per methicillin-resistant S. aureus (MRSA) BSI. The remaining studies either partially adjusted or did not consider the timing of infection in their analysis.ConclusionsImplementation of AMR policy and decision-making should be guided only by reliable, unbiased estimates of effect size. Generating these estimates requires a thorough understanding of important biases and their impact on measured outcomes. This will ensure that researchers, clinicians, and other key decision makers concerned with increasing public health threat of AMR are accurately guided by the best available evidence.

The cost of antimicrobial resistance.

A new report shows that investing in the prevention of antimicrobial resistance now will have a big pay-off in the future.

Excess annual economic burdens from nosocomial infections caused by multi-drug resistant bacteria in Thailand

ABSTRACT Background – Antimicrobial resistance (AMR) is a major health threat worldwide as it brings about poorer outcomes and places economic burdens to society. This study aims to estimate the economic burdens from nosocomial infections (NI) caused by multi-drug resistant (MDR) bacteria in Thailand. Research design and methods – A retrospective cohort study was conducted at a tertiary hospital over 2011–2012. A multivariate log-linear regression model was used to estimate the excess treatment costs of AMR to those non-AMR patients. Results – Switching from a non-AMR case to an AMR infection case, resulted in 42% increase in expected average treatment costs per patient. The annual treatment from hospital perspective and antibiotic costs associated with the management of AMR infections were estimated to be US$ 2.3 billion and US$ 262 million, respectively. The estimated annual benefit from eradicating AMR NI were US$ 4.2 billion from a societal perspective with the annual gains in quality-adjusted life years (QALYs) of 0.6 million due to the absence of 111,295 AMR cases each year. Conclusions – Large amount of money was spent on treatment and antibiotic costs to manage AMR infections. Benefit of eliminating these infections was estimated and it would be highly cost-effective.

PRM59 - DEVELOPING A MODELLING FRAMEWORK TO ASSESS THE COST-EFFECTIVENESS OF DIAGNOSTIC TESTS FOR DISTINGUISHING BETWEEN BACTERIAL AND VIRAL INFECTIONS

Bacterial and viral infections are often clinically indistinguishable, particularly in patients with respiratory tract infections. It is important to set a framework for evaluating diagnostic tests aiming to differentiate between these infections, since misdiagnosis can lead to antibiotic misuse and complications. The objective is to demonstrate the development of a cost-effectiveness model framework that integrates diagnostic pathways with antibiotic treatment decisions and its consequences, and accounts for the cost of antimicrobial resistance (AMR). A health-economic model was developed, which compares a new diagnostic test to standard-of-care (SoC), by simulating patients’ diagnostic and treatment pathways, quality-adjusted life years and associated costs. The model consists of three parts: 1.) A decision tree describing patients’ diagnostic pathways upon arrival at the emergency department; 2.) A Markov model simulating the therapeutic decision and its consequences, such as antibiotic adverse events; and 3.) An optional functionality that accounts for the cost of AMR. In a hypothetical scenario in which bacteria was the causative agent in 15% of pediatric patients and the new diagnostic had 15% higher sensitivity and specificity compared to SoC, holding all other model inputs equal, the antibiotic prescription rate was reduced by more than 30%, and costs due to antibiotic treatment plus related side effects, not including AMR, were reduced by approximately 30%. Additional results will be presented. This modelling framework is useful for comparing diagnostic tests to SoC, taking diagnostic accuracy, treatment decisions and treatment-related consequences into account, and for assessing the impact on antibiotic consumption. Furthermore, this framework accounts for the cost of AMR. Since this cost is a negative externality resulting from the consumption of antibiotics, it is usually not included in health economic evaluations. In the future the model will be used to assess the cost-effectiveness, and antibiotic-related aspects, of a new diagnostic in comparison to SoC.

Superbugs: An Arms Race Against Bacteria

Superbugs: An Arms Race Against Bacteria

Antimicrobial Resistance in Invasive Bacterial Infections in Hospitalized Children, Cambodia, 2007-2016.

To determine trends, mortality rates, and costs of antimicrobial resistance in invasive bacterial infections in hospitalized children, we analyzed data from Angkor Hospital for Children, Siem Reap, Cambodia, for 2007–2016. A total of 39,050 cultures yielded 1,341 target pathogens. Resistance rates were high; 82% each of Escherichia coli and Klebsiella pneumoniae isolates were multidrug resistant. Hospital-acquired isolates were more often resistant than community-acquired isolates; resistance trends over time were heterogeneous. K. pneumoniae isolates from neonates were more likely than those from nonneonates to be resistant to ampicillin–gentamicin and third-generation cephalosporins. In patients with community-acquired gram-negative bacteremia, third-generation cephalosporin resistance was associated with increased mortality rates, increased intensive care unit admissions, and 2.26-fold increased healthcare costs among survivors. High antimicrobial resistance in this setting is a threat to human life and the economy. In similar low-resource settings, our methods could be reproduced as a robust surveillance model for antimicrobial resistance.

Diabetic pregnancy.

<h3>Abstract</h3> <h3>Background</h3> – Antimicrobial resistance (AMR) poses a colossal threat to global health and incurs high economic costs to society. Economic evaluations of antimicrobials and interventions such as diagnostics and vaccines that affect their consumption rarely include the costs of AMR, resulting in sub-optimal policy recommendations. We estimate the economic cost of AMR per antibiotic consumed, stratified by drug class and national income level. <h3>Methods</h3> – The model is comprised of three components: correlation coefficients between human antibiotic consumption and subsequent resistance; the economic costs of AMR for five key pathogens; and consumption data for antibiotic classes driving resistance in these organisms. These were used to calculate the economic cost of AMR per antibiotic consumed for different drug classes, using data from Thailand and the United States (US) to represent low/middle and high-income countries. <h3>Results</h3> – The correlation coefficients between consumption of antibiotics that drive resistance in <i>S. aureus, E. coli, K. pneumoniae, A. baumanii</i>, and <i>P. aeruginosa</i> and resistance rates were 0.37, 0.27, 0.35, 0.45, and 0.52, respectively. The total economic cost of AMR due to resistance in these five pathogens was $0.5 billion and $2.8 billion in Thailand and the US, respectively. The cost of AMR associated with the consumption of one standard unit (SU) of antibiotics ranged from $0.1 for macrolides to $0.7 for quinolones, cephalosporins and broad-spectrum penicillins in the Thai context. In the US context, the cost of AMR per SU of antibiotic consumed ranged from $0.1 for carbapenems to $0.6 for quinolones, cephalosporins and broad spectrum penicillins. <h3>Conclusion</h3> – The economic costs of AMR per antibiotic consumed were considerable, often exceeding their purchase cost. Differences between Thailand and the US were apparent, corresponding with variation in the overall burden of AMR and relative prevalence of different pathogens. Notwithstanding their limitations, use of these estimates in economic evaluations can make better-informed policy recommendations regarding interventions that affect antimicrobial consumption and those aimed specifically at reducing the burden of AMR.