School health in Europe: a review of workforce expenditure across five countries.

BACKGROUND: Most European countries have implemented a form of school health services (SHS) to provide young children and adolescents with various types of healthcare. No estimations on SHS expenditure for European countries have been published until now. We estimated SHS workforce expenditure in Europe, expected to serve as the main driver of school healthcare costs. METHODS: Using two networks of experts on healthcare provision for children we contacted various country representatives to provide data on the number of professionals working in SHS and salaries. These data were used, together with publicly available data, to estimate annual SHS workforce expenditure on the national level. RESULTS: We received sufficient data for five European countries, and estimated the SHS workforce expenditure. Nurses were the most widely reported professionals working in this field, followed by doctors and psychologists. Our SHS expenditure estimations ranged from €43,000 for Estonia to €195,300 in Norway (per 1000 pupils). For Norway, Estonia, Finland and Iceland, school nurses were the main drivers of SHS expenditure, mainly due to their large numbers, while in Austria, school doctors played the largest role in SHS expenditure. CONCLUSIONS: We estimated the spending on SHS workforce for five European countries, which comprises relatively minor parts of total healthcare spending (0.16 to 0.69%). Many questions regarding SHS spending in Europe remain, due to a general lack of data on national levels.

Economic Impact of Reducing Inappropriate Inhaled Corticosteroids Use in Patients With Chronic Obstructive Pulmonary Disease: ISPOR's Guidance on Budget Impact in Practice.

OBJECTIVES: To assess the budget impact of restricting inappropriate inhaled corticosteroids (ICS) use according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD)-guidelines indication for ICS use in the chronic obstructive pulmonary disease (COPD)-population, taking The Netherlands as a reference case. METHODS: A budget impact model was developed and closely aligned with the International Society for Pharmacoeconomics and Outcomes Research best-practice guidelines. The model estimates the impact of pharmacologic COPD maintenance treatments on clinical events (exacerbations and pneumonias) and associated healthcare utilization and costs. The current treatment mix included all maintenance treatments including long-acting muscarinic antagonists (LAMA), long-acting ß2-agonists (LABA), LABA/ICS, LABA/LAMA, and triple therapy (LABA/LAMA/ICS). We modeled a situation where 25% of patients would use ICS-containing treatments and compared this to the current Dutch situation with 60% ICS use. A 5-year time horizon with a Dutch healthcare payer's perspective was used. In sensitivity analyses, a range of values for absolute ICS reduction (20%-40%), relative risks of exacerbations and pneumonia events, and other input parameters were explored. RESULTS: Over a period of 5 years, the new treatment mix with Global Initiative for Chronic Obstructive Lung Disease guideline recommended ICS, and LABA/LAMA use resulted in potential avoidance of 17 405 exacerbations and 11 984 pneumonias and accompanied savings of €84 million in the base-case scenario. Savings were consistent in various sensitivity analyses, indicating cost savings between €30 and €200 million. CONCLUSION: Reducing inappropriate ICS use and increasing use of LABA/LAMA in COPD patients could result in a reduction of exacerbations and pneumonias, corresponding with a reduction in total costs for COPD in The Netherlands.

Cost-Effectiveness of Sacubitril/Valsartan in Germany: An Application of the Efficiency Frontier.

BACKGROUND: To assess the cost-effectiveness of new treatments in Germany, the efficiency frontier (EF) method has been developed. We compared the cost-effectiveness analysis using international standards and the German methodology, using the heart failure drug sacubitril/valsartan as an example. METHODS: A previously developed Markov model was adapted to include 4 treatment options: no treatment, enalapril, candesartan, and sacubitril/valsartan. The internationally used incremental cost-effectiveness ratio (ICER) was calculated, as well as cost-effectiveness acceptability curves. Additionally, EFs, net monetary benefits (NMBs), and price-acceptability curves were created according to German guidelines. All analyses were performed from the perspective of the German Statutory Health Insurance. RESULTS: The base-case ICER for sacubitril/valsartan compared to enalapril is €19 300/quality-adjusted life-year. On the cost-effectiveness acceptability curve, sacubitril/valsartan is most likely to be cost-effective, out of all included comparators, from a hypothetical willingness-to-pay threshold of €18 250/quality-adjusted life-year onward. No EF could be constructed for the base case. Taking the uncertainty of the input parameters into account for the probabilistic sensitivity analysis, a NMB of around -€14 000 was calculated, depending on the outcome considered, with the NMB being zero at a daily price for sacubitril/valsartan ranging from €1.52 to €1.67. CONCLUSION: We calculated an ICER for Germany, comparable to previously published cost-effectiveness analyses for Europe, which widely concluded sacubitril/valsartan to be cost-effective. Using the German EF approach, a considerable discount needs to be applied before sacubitril/valsartan can be considered cost-effective.

Perioperative bridging of vitamin K antagonist treatment in patients with atrial fibrillation: only a very small group of patients benefits.

AIMS: Bridging anticoagulation in atrial fibrillation (AF) patients who need to interrupt vitamin K antagonists for procedures is a clinical dilemma. Currently, guidelines recommend clinicians to take the stroke and bleeding risk into consideration, but no clear thresholds are advised. To aid clinical decision making, we aimed to develop a model in which periprocedural bridging therapy is compared with withholding anticoagulation in AF patients, for several bleeding and stroke risk groups. METHODS AND RESULTS: A model was developed to simulate both a bridge and a non-bridge cohort, using simulated international normalized ratio (INR) values for patients on warfarin, acenocoumarol, and phenprocoumon. For both clinical strategies, stroke and bleeding risks were included and outcomes were stratified by CHA2DS2-VASc or CHADS2 and HAS-BLED groups. Quality-adjusted life expectancy was the main outcome considered. Our analyses show bridging to only be beneficial for patients with HAS-BLED scores equal or lower to 2 and with CHA2DS2-VASc scores of 6 or higher. For patients using acenocoumarol bridging may be beneficial starting at a CHA2DS2-VASc score of 7. Post-procedural time to therapeutic INR has a significant influence on the results: no significant benefit of bridging was found for patients reaching therapeutic INR values within 5 days. CONCLUSION: When deciding whether to bridge anticoagulation, clinicians should consider the patient's individual stroke and bleeding risk, while also considering the patient's post-procedural INR management. In practice, only a small subset of patients is expected to benefit from bridging anticoagulation treatment.

An Economic Evaluation of Sacubitril/Valsartan for Heart Failure Patients in the Netherlands.

BACKGROUND: In September 2014, the PARADIGM-HF trial showed the heart failure drug combination sacubitril/valsartan to be superior to enalapril for patients with a reduced ejection fraction. OBJECTIVES: To determine the incremental cost-effectiveness of sacubitril/valsartan compared with enalapril in the Netherlands using the clinical data from the PARADIGM-HF trial. METHODS: To compare sacubitril/valsartan and enalapril in a cost-effectiveness study, a Markov model was developed using the effectiveness data from the PARADIGM-HF trial. A health care payer's perspective was applied in the economic evaluation. The developed model was used to evaluate the cost-effectiveness for sacubitril/valsartan at different per diem prices. RESULTS: The base-case analysis showed that sacubitril/valsartan can be cost-effective at maximum daily costs of €5.50 and €14.14 considering willingness-to-pay thresholds of €20,000 and €50,000 per quality-adjusted life-year (QALY), respectively. Sensitivity analysis demonstrated the robustness of the model, identifying only the price of sacubitril/valsartan and the mortality within the sacubitril/valsartan group as significant drivers of the cost-effectiveness ratio. Sacubitril/valsartan was cost-effective at a willingness-to-pay threshold of €20,000 per QALY (€50,000 per QALY) in more than 80% of the replications with certainty at the price point of €3 (€10). CONCLUSIONS: Sacubitril/valsartan can be considered a cost-effective treatment at a daily price of €5.25. Unless priced lower than enalapril (<€0.045 per day), sacubitril/valsartan is very unlikely to be cost-saving/dominant.

Antivirals to prepare for surges in influenza cases: an economic evaluation of baloxavir marboxil for the Netherlands.

OBJECTIVES: We perform a cost-effectiveness analysis (CEA) and budget impact analysis (BIA) of baloxavir marboxil compared to current care in the Netherlands for patients at risk of influenza-related complications, including patients with comorbidities and the elderly. METHODS: In the CEA, a decision tree model was developed to assess the cost-effectiveness of baloxavir marboxil for a cohort of 52-year-olds from a societal perspective. A lifetime horizon was taken by incorporating the quality-adjusted life expectancy. The BIA included different epidemiological scenarios, estimating different plausible epidemiological scenarios for seasonal influenza considering the whole Dutch population with an increased risk of influenza complications. RESULTS: The base-case ICER was estimated to be €8,300 per QALY. At the willingness-to-pay threshold of €20,000 per QALY, the probability of being cost effective was 58%. The base-case expected budget impact was €5.7 million on average per year, ranging from €1.5 million to €10.5 million based on the severity of the influenza epidemic and vaccine effectiveness. CONCLUSION: In the Netherlands, baloxavir is a cost-effective treatment option for seasonal influenza, with a base-case ICER of €8,300 per QALY for the population aged 60 years and over and patients at high risk of influenza-related complications. For a large part, this ICER is driven by the reduction of the illness duration of influenza and productivity gains in the working population.

Cost-effectiveness of high-dose influenza vaccination in the Netherlands: Incorporating the impact on both respiratory and cardiovascular hospitalizations.

OBJECTIVES: We assess the cost-effectiveness of switching from standard-dose quadrivalent influenza vaccination (SD-QIV) to high-dose vaccination (HD-QIV) for Dutch adults aged 60 years and older. METHODS: A health-economic model was used to compare the scenario where HD-QIV was implemented compared to the current standard, SD-QIV. This model used a lifetime horizon and assessed the cost-effectiveness from a societal perspective. A recently published meta-analysis was used to incorporate the benefits of HD-QIV, including cardiorespiratory hospitalizations, in analyses considering RCT only or combining RCT and RWE estimates in a scenario analysis. RESULTS: Implementing HD-QIV is cost effective at its list price, with an ICER of €5,400 per QALY gained. The main driver of these results is the prevention of cardiorespiratory hospitalizations. Other public health benefits are the prevention of GP consults and deaths. HD-QIV is highly likely to be cost-effective, reaching a 100% probability of being cost effective at the Dutch willingness-to-pay threshold of €20,000 per QALY. CONCLUSIONS: Implementing HD-QIV for adults aged 60 and over within the existing influenza vaccination campaign is highly cost effective. HD-QIV may support alleviating potential capacity issues in Dutch hospitals in the winter respiratory season.

Cost-Effectiveness of Test-and-Treat Strategies to Reduce the Antibiotic Prescription Rate for Acute Febrile Illness in Primary Healthcare Clinics in Africa.

BACKGROUND: Inappropriate antibiotic use increases selective pressure, contributing to antimicrobial resistance. Point-of-care rapid diagnostic tests (RDTs) would be instrumental to better target antibiotic prescriptions, but widespread implementation of diagnostics for improved management of febrile illnesses is limited. OBJECTIVE: Our study aims to contribute to evidence-based guidance to inform policymakers on investment decisions regarding interventions that foster more appropriate antibiotic prescriptions, as well as to address the evidence gap on the potential clinical and economic impact of RDTs on antibiotic prescription. METHODS: A country-based cost-effectiveness model was developed for Burkina Faso, Ghana and Uganda. The decision tree model simulated seven test strategies for patients with febrile illness to assess the effect of different RDT combinations on antibiotic prescription rate (APR), costs and clinical outcomes. The incremental cost-effectiveness ratio (ICER) was expressed as the incremental cost per percentage point (ppt) reduction in APR. RESULTS: For Burkina Faso and Uganda, testing all patients with a malaria RDT was dominant compared to standard-of-care (SoC) (which included malaria testing). Expanding the test panel with a C-reactive protein (CRP) test resulted in an ICER of $ 0.03 and $ 0.08 per ppt reduction in APR for Burkina Faso and Uganda, respectively. For Ghana, the pairwise comparison with SoC-including malaria and complete blood count testing-indicates that both testing with malaria RDT only and malaria RDT + CRP are dominant. CONCLUSION: The use of RDTs for patients with febrile illness could effectively reduce APR at minimal additional costs, provided diagnostic algorithms are adhered to. Complementing SoC with CRP testing may increase clinicians' confidence in prescribing decisions and is a favourable strategy.

The value of artificial intelligence for the treatment of mechanically ventilated intensive care unit patients: An early health technology assessment.

PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanically ventilated intensive care unit patients often remain unstudied. Early health technology assessments (HTA) can examine the potential impact of AI systems by using available data and simulations. Therefore, we developed a generic health-economic model suitable for early HTA of AI systems for mechanically ventilated patients. MATERIALS AND METHODS: Our generic health-economic model simulates mechanically ventilated patients from their hospitalisation until their death. The model simulates two scenarios, care as usual and care with the AI system, and compares these scenarios to estimate their cost-effectiveness. RESULTS: The generic health-economic model we developed is suitable for estimating the cost-effectiveness of various AI systems. By varying input parameters and assumptions, the model can examine the cost-effectiveness of AI systems across a wide range of different clinical settings. CONCLUSIONS: Using the proposed generic health-economic model, investors and innovators can easily assess whether implementing a certain AI system is likely to be cost-effective before an exact clinical impact is determined. The results of the early HTA can aid investors and innovators in deployment of AI systems by supporting development decisions, informing value-based pricing, clinical trial design, and selection of target patient groups.

Mechanical ventilation as a major driver of COVID-19 hospitalization costs: a costing study in a German setting.

BACKGROUND: While COVID-19 hospitalization costs are essential for policymakers to make informed health care resource decisions, little is known about these costs in western Europe. The aim of the current study is to analyze these costs for a German setting, track the development of these costs over time and analyze the daily costs. METHODS: Administrative costing data was analyzed for 598 non-Intensive Care Unit (ICU) patients and 510 ICU patients diagnosed with COVID-19 at the Frankfurt University hospital. Descriptive statistics of total per patient hospitalization costs were obtained and assessed over time. Propensity scores were estimated for length of stay (LOS) at the general ward and mechanical ventilation (MV) duration, using covariate balancing propensity score for continuous treatment. Costs for each additional day in the general ward and each additional day in the ICU with and without MV were estimated by regressing the total hospitalization costs on the LOS and the presence or absence of several treatments using generalized linear models, while controlling for patient characteristics, comorbidities, and complications. RESULTS: Median total per patient hospitalization costs were €3,010 (Q1 - Q3: €2,224-€5,273), €5,887 (Q1 - Q3: €3,054-€10,879) and €21,536 (Q1 - Q3: €7,504-€43,480), respectively, for non-ICU patients, non-MV and MV ICU patients. Total per patient hospitalization costs for non-ICU patients showed a slight increase over time, while total per patient hospitalization costs for ICU patients decreased over time. Each additional day in the general ward for non-ICU COVID-19 patients costed €463.66 (SE: 15.89). Costs for each additional day in the general ward and ICU without and with mechanical ventilation for ICU patients were estimated at €414.20 (SE: 22.17), €927.45 (SE: 45.52) and €2,224.84 (SE: 70.24). CONCLUSIONS: This is, to our knowledge, the first study examining the costs of COVID-19 hospitalizations in Germany. Estimated costs were overall in agreement with costs found in literature for non-COVID-19 patients, except for higher estimated costs for mechanical ventilation. These estimated costs can potentially improve the precision of COVID-19 cost effectiveness studies in Germany and will thereby allow health care policymakers to provide better informed health care resource decisions in the future.

Costs of two vancomycin-resistant enterococci outbreaks in an academic hospital.

Objective: In early 2017, the University Medical Center Groningen, the Netherlands, had an outbreak of 2 strains of vancomycin-resistant enterococci (VRE) that spread to various wards. In the summer of 2018, the hospital was again hit by a VRE outbreak, which was detected and controlled early. However, during both outbreaks, fewer patients were admitted to the hospital and various costs were incurred. We quantified the costs of the 2017 and 2018 VRE outbreaks. Design: Using data from various sources in the hospital and interviews, we identified and quantified the costs of the 2 outbreaks, resulting from tests, closed beds (opportunity costs), cleaning, additional personnel, and patient isolation. Setting: The University Medical Center Groningen, an academic hospital in the Netherlands. Results: The total costs associated with the 2017 outbreak were estimated to be €335,278 (US $356,826); the total costs associated with the 2018 outbreak were estimated at €149,025 (US $158,602). Conclusions: The main drivers of the costs were the opportunity costs due to the reduction in admitted patients, testing costs, and cleaning costs. Although the second outbreak was considerably shorter, the costs per day were similar to those of the first outbreak. Major investments are associated with the VRE control measures, and an outbreak of VRE can lead to considerable costs for a hospital. Aggressively screening and isolating patients who may be involved in an outbreak of VRE may reduce the overall costs and improve the continuity of care within the hospital.

The Opportunity of Point-of-Care Diagnostics in General Practice: Modelling the Effects on Antimicrobial Resistance.

OBJECTIVES: Antimicrobial resistance (AMR) is a public health threat associated with antibiotic consumption. Community-acquired acute respiratory tract infections (CA-ARTIs) are a major driver of antibiotic consumption in primary care. We aimed to quantify the investments required for a large-scale rollout of point-of care (POC) diagnostic testing in Dutch primary care, and the impact on AMR due to reduced use of antibiotics. METHODS: We developed an individual-based model that simulates consultations for CA-ARTI at GP practices in the Netherlands and compared a scenario where GPs test all CA-ARTI patients with a hypothetical diagnostic strategy to continuing the current standard-of-care for the years 2020-2030. We estimated differences in costs and future AMR rates caused by testing all patients consulting for CA-ARTI with a hypothetical diagnostic strategy, compared to the current standard-of-care in GP practices. RESULTS: Compared to the current standard-of-care, the diagnostic algorithm increases the total costs of GP consultations for CA-ARTI by 9% and 19%, when priced at €5 and €10, respectively. The forecast increase in Streptococcus pneumoniae resistance against penicillins can be partly restrained by the hypothetical diagnostic strategy from 3.8 to 3.5% in 2030, albeit with considerable uncertainty. CONCLUSIONS: Our results show that implementing a hypothetical diagnostic strategy for all CA-ARTI patients in primary care raises the costs of consultations, while lowering antibiotic consumption and AMR. Novel health-economic methods to assess and communicate the potential benefits related to AMR may be required for interventions with limited gains for individual patients, but considerable potential related to antibiotic consumption and AMR.

Evaluations of training and education interventions for improved infectious disease management in low-income and middle-income countries: a systematic literature review.

OBJECTIVES: To identify most vital input and outcome parameters required for evaluations of training and education interventions aimed at addressing infectious diseases in low-income and middle-income countries. DESIGN: Systematic review. DATA SOURCES: PubMed/Medline, Web of Science and Scopus were searched for eligible studies between January 2000 and November 2021. STUDY SELECTION: Health economic and health-outcome studies on infectious diseases covering an education or training intervention in low-income and middle-income countries were included. RESULTS: A total of 59 eligible studies covering training or education interventions for infectious diseases were found; infectious diseases were categorised as acute febrile infections (AFI), non-AFI and other non-acute infections. With regard to input parameters, the costs (direct and indirect) were most often reported. As outcome parameters, five categories were most often reported including final health outcomes, intermediate health outcomes, cost outcomes, prescription outcomes and health economic outcomes. Studies showed a wide range of per category variables included and a general lack of uniformity across studies. CONCLUSIONS: Further standardisation is needed on the relevant input and outcome parameters in this field. A more standardised approach would improve generalisability and comparability of results and allow policy-makers to make better informed decisions on the most effective and cost-effective interventions.

Health-Economic Analyses of Diagnostics: Guidance on Design and Reporting.

Cost-effectiveness analyses (CEAs) can be used to assess the value of diagnostics in clinical practice. Due to the introduction of the European in vitro diagnostic and medical devices regulations, more clinical data on new diagnostics may become available, which may improve the interest and feasibility of performing CEAs. We present eight recommendations on the reporting and design of CEAs of diagnostics. The symptoms patients experience, the clinical setting, locations of test sampling and analysis, and diagnostic algorithms should be clearly reported. The used time horizon should reflect the time horizon used to model the treatment after the diagnostic pathway. Quality-adjusted life-years (QALYs) or disability-adjusted life-years (DALYs) should be used as the clinical outcomes but may be combined with other relevant outcomes, such as real options value. If the number of tests using the same equipment can vary, the economy of scale should be considered. An understandable graphical representation of the various diagnostic algorithms should be provided to understand the results, such as an efficiency frontier. Finally, the budget impact and affordability should be considered. These recommendations can be used in addition to other, more general, recommendations, such as the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) or the reference case for economic evaluation by the international decision support initiative.

Economic evaluation of orphan drug Lutetium-Octreotate vs. Octreotide long-acting release for patients with an advanced midgut neuroendocrine tumour in the Netherlands.

OBJECTIVES: Multiple studies showed positive effects of Lutetium-Octreotate (LO) treatment in neuroendocrine tumours. LO has been used in the Netherlands since the 1980s and recently received the orphan status shortly after the acquisition by Novartis. Since then, the official list price has increased sixfold. From a value-based pricing perspective, we analysed the impact of the increase in price on the incremental cost-effectiveness ratio (ICER) of LO treatment compared to optimal best supportive care, a high dose of Octreotide long-acting release (O-LAR), using the clinical data of the NETTER-1 trial. METHODS: A Markov model was developed to evaluate the costs per quality-adjusted life-year (QALY) for LO treatment compared to O-LAR from the healthcare perspective. A scenario analysis was conducted to compare the cost-effectiveness with the initial and increased price level of the LO-treatment. RESULTS: At the increased price level, the cost-effectiveness analysis rendered a deterministic ICER of €53,500 per QALY, while at the initial pricing, the ICER was €19,000 per QALY. The probabilistic sensitivity analysis (PSA) showed that LO had a high probability of being cost-effective at both the increased and initial price level, considering a cost-effectiveness threshold of €80,000. CONCLUSIONS: Even at the increased price level, LO treatment can still be considered cost-effective using the applicable Dutch willingness-to-pay threshold of 80,000 euro per QALY. Considering the public scrutiny in relation to this price increase, these outcomes raise the question whether traditional cost-effectiveness methods are sufficient in fully capturing the societal acceptance of prices of new medicines.

Economic Analyses of Respiratory Tract Infection Diagnostics: A Systematic Review.

BACKGROUND: Diagnostic testing for respiratory tract infections is a tool to manage the current COVID-19 pandemic, as well as the rising incidence of antimicrobial resistance. At the same time, new European regulations for market entry of in vitro diagnostics, in the form of the in vitro diagnostic regulation, may lead to more clinical evidence supporting health-economic analyses. OBJECTIVE: The objective of this systematic review was to review the methods used in economic evaluations of applied diagnostic techniques, for all patients seeking care for infectious diseases of the respiratory tract (such as pneumonia, pulmonary tuberculosis, influenza, sinusitis, pharyngitis, sore throats and general respiratory tract infections). METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, articles from three large databases of scientific literature were included (Scopus, Web of Science and PubMed) for the period January 2000 to May 2020. RESULTS: A total of 70 economic analyses are included, most of which use decision tree modelling for diagnostic testing for respiratory tract infections in the community-care setting. Many studies do not incorporate a generally comparable clinical outcome in their cost-effectiveness analysis: fewer than half the studies (33/70) used generalisable outcomes such as quality-adjusted life-years. Other papers consider outcomes related to the accuracy of the test or outcomes related to the prescribed treatment. The time horizons of the studies generally are limited. CONCLUSIONS: The methods to economically assess diagnostic tests for respiratory tract infections vary and would benefit from clear recommendations from policy makers on the assessed time horizon and outcomes used.

The tripartite insurance model (TIM): a financial incentive to prevent outbreaks of infections due to multidrug-resistant microorganisms in hospitals.

Healthcare-associated infections caused by multidrug-resistant organisms (MDROs) constitute a major challenge worldwide, but care providers are often not sufficiently incentivized to implement recommended infection prevention measures to prevent the spread of such infections. We propose a new approach which creates incentives for hospitals, external laboratories and insurers to collaborate on preventing MDRO outbreaks by testing more and implementing infection prevention measures. This tripartite insurance model (TIM) redistributes the costs of preventing and combating MDRO outbreaks in a way that all parties benefit from reducing the number of outbreaks.

Efficiency of Diagnostic Testing for Helicobacter pylori Infections-A Systematic Review.

BACKGROUND: The most recommended treatment for a Helicobacter pylori infection is high doses of combined antibiotics. The objective of this article is to perform a systematic review of the economic evaluation studies applied to assess the efficiency of diagnostic testing for H. pylori infections, so that their main characteristics can be identified and to learn from the literature how the antimicrobial resistance (AMR) issue is incorporated into these economic evaluations. METHODS: We conducted a systematic review to compare the costs and clinical effectiveness of diagnostic strategies for H. pylori infections. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and extracted the items from the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. RESULTS: We found thirteen articles that were of good quality according to CHEERS: six studies focused on diagnostics of Helicobacter pylori infections associated with dyspepsia and four on duodenal ulcers. Testing was found to be the most cost-effective strategy in eight articles. Four studies considered AMR. CONCLUSIONS: Testing was more cost-effective than empirical treatment, except in cases of high prevalence (as with developing countries) or when patients could be stratified according to their comorbidities. The introduction of AMR into the model may change the efficiency of the testing strategy.