Remdesivir and dexamethasone as tools to relieve hospital care systems stressed by COVID-19: A modelling study on bed resources and budget impact.

Remdesivir and dexamethasone are the only drugs providing reductions in the lengths of hospital stays for COVID-19 patients. We assessed the impacts of remdesivir on hospital-bed resources and budgets affected by the COVID-19 outbreak. A stochastic agent-based model was combined with epidemiological data available on the COVID-19 outbreak in France and data from two randomized control trials. Strategies involving treating with remdesivir only patients with low-flow oxygen and patients with low-flow and high-flow oxygen were examined. Treating all eligible low-flow oxygen patients during the entirety of the second wave would have decreased hospital-bed occupancy in conventional wards by 4% [2%; 7%] and intensive care unit (ICU)-bed occupancy by 9% [6%; 13%]. Extending remdesivir use to high-flow-oxygen patients would have amplified reductions in ICU-bed occupancy by up to 14% [18%; 11%]. A minimum remdesivir uptake of 20% was required to observe decreases in bed occupancy. Dexamethasone had effects of similar amplitude. Depending on the treatment strategy, using remdesivir would, in most cases, generate savings (up to 722€) or at least be cost neutral (an extra cost of 34€). Treating eligible patients could significantly limit the saturation of hospital capacities, particularly in ICUs. The generated savings would exceed the costs of medications.

How Many Intensive Care Beds are Justifiable for Hospital Pandemic Preparedness? A Cost-effectiveness Analysis for COVID-19 in Germany.

INTRODUCTION: Germany is experiencing the second COVID-19 pandemic wave. The intensive care unit (ICU) bed capacity is an important consideration in the response to the pandemic. The purpose of this study was to determine the costs and benefits of maintaining or expanding a staffed ICU bed reserve capacity in Germany. METHODS: This study compared the provision of additional capacity to no intervention from a societal perspective. A decision model was developed using, e.g. information on age-specific fatality rates, ICU costs and outcomes, and the herd protection threshold. The net monetary benefit (NMB) was calculated based upon the willingness to pay for new medicines for the treatment of cancer, a condition with a similar disease burden in the near term. RESULTS: The marginal cost-effectiveness ratio (MCER) of the last bed added to the existing ICU capacity is €21,958 per life-year gained assuming full bed utilization. The NMB decreases with an additional expansion but remains positive for utilization rates as low as 2%. In a sensitivity analysis, the variables with the highest impact on the MCER were the mortality rates in the ICU and after discharge. CONCLUSIONS: This article demonstrates the applicability of cost-effectiveness analysis to policies of hospital pandemic preparedness and response capacity strengthening. In Germany, the provision of a staffed ICU bed reserve capacity appears to be cost-effective even for a low probability of bed utilization.

The Impact of Halting Elective Admissions in Anticipation of a Demand Surge Due to the Coronavirus Pandemic (COVID-19).

BACKGROUND: In anticipation of a demand surge for hospital beds attributed to the coronavirus pandemic (COVID-19) many US states have mandated that hospitals postpone elective admissions. OBJECTIVES: To estimate excess demand for hospital beds due to COVID-19, the net financial impact of eliminating elective admissions in order to meet demand, and to explore the scenario when demand remains below capacity. RESEARCH DESIGN: An economic simulation to estimate the net financial impact of halting elective admissions, combining epidemiological reports, the US Census, American Hospital Association Annual Survey, and the National Inpatient Sample. Deterministic sensitivity analyses explored the results while varying assumptions for demand and capacity. SUBJECTS: Inputs regarding disease prevalence and inpatient utilization were representative of the US population. Our base case relied on a hospital admission rate reported by the Center for Disease Control and Prevention of 137.6 per 100,000, with the highest rates in people aged 65 years and older (378.8 per 100,000) and 50-64 years (207.4 per 100,000). On average, elective admissions accounted for 20% of total hospital admissions, and the average rate of unoccupied beds across hospitals was 30%. MEASURES: Net financial impact of halting elective admissions. RESULTS: On average, hospitals COVID-19 demand for hospital bed-days fell well short of hospital capacity, resulting in a substantial financial loss. The net financial impact of a 90-day COVID surge on a hospital was only favorable under a narrow circumstance when capacity was filled by a high proportion of COVID-19 cases among hospitals with low rates of elective admissions. CONCLUSIONS: Hospitals that restricted elective care took on a substantial financial risk, potentially threatening viability. A sustainable public policy should therefore consider support to hospitals that responsibly served their communities through the crisis.

Efficiency and profitability in US not-for-profit hospitals.

This article examines the relationship between hospital profitability and efficiency. A cross-section of 1317 U.S. metropolitan, acute care, not-for-profit hospitals for the year 2015 was employed. We use a frontier method, stochastic frontier analysis, to estimate hospital efficiency. Total margin and operating margin were used as profit variables in OLS regressions that were corrected for heteroskedacity. In addition to estimated efficiency, control variables for internal and external correlates of profitability were included in the regression models. We found that more efficient hospitals were also more profitable. The results show a positive relationship between profitability and size, concentration of output, occupancy rate and membership in a multi-hospital system. An inverse relationship was found between profits and academic medical centers, average length of stay, location in a Medicaid expansion state, Medicaid and Medicare share of admissions, and unemployment rate. The results of a Hausman test indicates that efficiency is exogenous in the profit equations. The findings suggest that not-for-profit hospitals will be responsive to incentives for increasing efficiency and use market power to increase surplus to pursue their objectives.

Cold bed: A challenge for an academic medical center in San Luis Potosi, Mexico.

OBJECTIVE: The objective of this study was to identify the time period during which a hospital bed could be virtually available according to the informatics and administrative hospital system while still being physically occupied by a patient in a hospital in Mexico. MATERIALS AND METHODS: A cross-sectional study was conducted in a 250-bed Academic Medical Center located in Central Northern Mexico during February 2015. Both administrative and real patient discharges were registered in a hospital format. Central tendency measures were used to present collected data and bed/day costs were obtained from official national published costs. RESULTS: Nine hundred and forty-three patients were followed up during their hospital discharge process. Overall, 2.4% of hospital beds were occupied by discharged patients. The annual cost only for cold beds was $959,220.00 US$ ($14,348,304.00 MNX), without bringing about any benefits for patients. Cold beds represented 1.31% of the 2015 annual hospital budget. CONCLUSIONS: Quality improvement initiatives must be implemented to allocate beds to patients more efficiently. The discharge process must be standardized to reduce bed/day direct hospital costs and strengthen the supervision of medical residents during this process.

OBJETIVO: Identificar el periodo de tiempo durante el cual una cama hospitalaria está virtualmente disponible en el sistema informático, mientras está ocupada por un paciente, en un hospital de México. MÉTODO: Se realizó un estudio transversal en un centro médico académico de 250 camas, localizado en el centro-norte de México, en febrero de 2015. El alta administrativa y real del paciente fueron registradas en un formato institucional. Se utilizaron medidas de tendencia central para presentar los datos. El costo del día/cama se obtuvo de lo oficial publicado para la nación. RESULTADOS: 943 pacientes fueron seguidos durante el proceso de egreso. El 2.4% del total de las camas estuvo ocupada por pacientes egresados. El costo anual por las camas frías/muertas fue de $959,220.00 US$ ($14,348,304.00 MNX), sin beneficio para los pacientes. Las camas frías/muertas representaron el 1.31% del presupuesto hospitalario anual en el año 2015. CONCLUSIONES: Es necesario implementar iniciativas de mejora para asignar eficientemente las camas a los pacientes. El proceso de egreso debe estandarizarse para reducir el costo directo hospitalario por día/cama. Hay que fortalecer la supervisión de médicos residentes que participan en este proceso.

Peripherally Inserted Central Catheters (PICCs) and Potential Cost Savings and Shortened Bed Stays In an Acute Hospital Setting.

Peripheral inserted central catheters (PICCs) have increasingly become the mainstay of patients requiring prolonged treatment with antibiotics, transfusions, oncologic IV therapy and total parental nutrition. They may also be used in delivering a number of other medications to patients. In recent years, bed occupancy rates have become hugely pressurized in many hospitals and any potential solutions to free up beds is welcome. Recent introductions of doctor or nurse led intravenous (IV) outpatient based treatment teams has been having a direct effect on early discharge of patients and in some cases avoiding admission completely. The ability to deliver outpatient intravenous treatment is facilitated by the placement of PICCs allowing safe and targeted treatment of patients over a prolonged period of time. We carried out a retrospective study of 2,404 patients referred for PICCs from 2009 to 2015 in a university teaching hospital. There was an exponential increase in the number of PICCs requested from 2011 to 2015 with a 64% increase from 2012 to 2013. The clear increase in demand for PICCs in our institution is directly linked to the advent of outpatient intravenous antibiotic services. In this paper, we assess the impact that the use of PICCs combined with intravenous outpatient treatment may have on cost and hospital bed demand. We advocate that a more widespread implementation of this service throughout Ireland may result in significant cost savings as well as decreasing the number of patients on hospital trollies.

Data envelopment analysis for estimating efficiency of intensive care units: a case study in Iran.

Purpose As hospitals are the most costly service providers in every healthcare systems, special attention should be given to their performance in terms of resource allocation and consumption. The purpose of this paper is to evaluate technical, allocative and economic efficiency in intensive care units (ICUs) of hospitals affiliated by Yazd University of Medical Sciences (YUMS) in 2015. Design/methodology/approach This was a descriptive, analytical study conducted in ICUs of seven training hospitals affiliated by YUMS using data envelopment analysis (DEA) in 2015. The number of physicians, nurses, active beds and equipment were regarded as input variables and bed occupancy rate, the number of discharged patients, economic information such as bed price and physicians' fees were mentioned as output variables of the study. Available data from study variables were retrospectively gathered and analyzed through the Deap 2.1 software using the variable returns to scale methodology. Findings The study findings revealed the average scores of allocative, economic, technical, managerial and scale efficiency to be relatively 0.956, 0.866, 0.883, 0.89 and 0.913. Regarding to latter three types of efficiency, five hospitals had desirable performance. Practical implications Given that additional costs due to an extra number of manpower or unnecessary capital resources impose economic pressure on hospitals also the fact that reduction of surplus production plays a major role in reducing such expenditures in hospitals, it is suggested that departments with low efficiency reduce their input surpluses to achieve the optimal level of performance. Originality/value The authors applied a DEA approach to measure allocative, economic, technical, managerial and scale efficiency of under-study hospitals. This is a helpful linear programming method which acts as a powerful and understandable approach for comparative performance assessment in healthcare settings and a guidance for healthcare managers to improve their departments' performance.

First Come, First Served in the Intensive Care Unit: Always?

Because the demand for intensive care unit (ICU) beds exceeds the supply in general, and because of the formidable costs of that level of care, clinicians face ethical issues when rationing this kind of care not only at the point of admission to the ICU, but also after the fact. Under what conditions-if any-may patients be denied admission to the ICU or removed after admission? One professional medical group has defended a rule of "first come, first served" in ICU admissions, and this approach has numerous moral considerations in its favor. We show, however, that admission to the ICU is not in and of itself guaranteed; we also show that as a matter of principle, it can be morally permissible to remove certain patients from the ICU, contrary to the idea that because they were admitted first, they are entitled to stay indefinitely through the point of recovery, death, or voluntary withdrawal. What remains necessary to help guide these kinds of decisions is the articulation of clear standards for discontinuing intensive care, and the articulation of these standards in a way consistent with not only fiduciary and legal duties that attach to clinical care but also with democratic decision making processes.

Improving the Hospital Quality of Care during Winter Periods by Optimizing Budget Allocation Between Rotavirus Vaccination and Bed Expansion.

BACKGROUND: During each winter the hospital quality of care (QoC) in pediatric wards decreases due to a surge in pediatric infectious diseases leading to overcrowded units. Bed occupancy rates often surpass the good hospital bed management threshold of 85%, which can result in poor conditions in the workplace. This study explores how QoC-scores could be improved by investing in additional beds and/or better vaccination programs against vaccine-preventable infectious diseases. METHODS: The Cobb-Douglas model was selected to define the improvement in QoC (%) as a function of two strategies (rotavirus vaccination coverage [%] and addition of extra hospital beds [% of existing beds]), allowing improvement-isocurves to be produced. Subsequently, budget minimization was applied to determine the combination of the two strategies needed to reach a given QoC improvement at the lowest cost. Data from Jessa Hospital (Hasselt, Belgium) were chosen as an example. The annual population in the catchment area to be vaccinated was 7000 children; the winter period was 90 days with 34 pediatric beds available. Rotavirus vaccination cost per course was €118.26 and the daily cost of a pediatric bed was €436.53. The target QoC increase was fixed at 50%. The model was first built with baseline parameter values. RESULTS: The model predicted that a combination of 64% vaccine coverage and 39% extra hospital beds (≈ 13 extra beds) in winter would improve QoC-scores by 50% for the minimum budget allocation. CONCLUSION: The model allows determination of the most efficient allocation of the healthcare budget between rotavirus vaccination and bed expansion for improving QoC-scores during the annual epidemic winter seasons.

Estimating the opportunity costs of bed-days.

Opportunity costs of bed-days are fundamental to understanding the value of healthcare systems. They greatly influence burden of disease estimations and economic evaluations involving stays in healthcare facilities. However, different estimation techniques employ assumptions that differ crucially in whether to consider the value of the second-best alternative use forgone, of any available alternative use, or the value of the actually chosen alternative. Informed by economic theory, this paper provides a taxonomic framework of methodologies for estimating the opportunity costs of resources. This taxonomy is then applied to bed-days by classifying existing approaches accordingly. We highlight differences in valuation between approaches and the perspective adopted, and we use our framework to appraise the assumptions and biases underlying the standard approaches that have been widely adopted mostly unquestioned in the past, such as the conventional use of reference costs and administrative accounting data. Drawing on these findings, we present a novel approach for estimating the opportunity costs of bed-days in terms of health forgone for the second-best patient, but expressed monetarily. This alternative approach effectively re-connects to the concept of choice and explicitly considers net benefits. It is broadly applicable across settings and for other resources besides bed-days.

The Effects of Multiple Chronic Conditions on Adult Patient Readmissions and Hospital Finances: A Management Case Study.

Medicare and other payers have launched initiatives to reduce hospital utilization, especially targeting readmissions within 30 days of discharge. Hospital managers have traditionally contended that hospitals would prosper better by ignoring the penalties for high readmission rates and keeping the beds more full. We aimed to test the financial effects of admissions and readmissions by persons with and without specified chronic conditions in one regional hospital. This is a management case study with a descriptive brief report. This study was conducted at Winchester Memorial Hospital, a general hospital in a largely rural area of Virginia, 2010-2015. The total margin per admission varied by diagnosis, with the average patient diagnosed with chronic obstructive pulmonary disease, heart failure, pneumonia, or chronic renal disease having negative margins. The largest per-patient losses were in diagnostic categories coinciding with the highest readmission rates. The margin declined into substantial losses with an increasing number of chronic conditions, which also corresponded with higher readmission rates. Patients with 5 or more clinical conditions had highest risk of readmission within 30 days (24.8%) and had an average total loss of $865 per admission in 2015. The adverse financial effects worsened between 2010 and 2015. This hospital might improve its finances by investing in strategies to reduce chronic illness hospitalizations, especially those with multiple chronic conditions and high risk of readmission. These findings counter the common claim that the hospital would do better to fill beds rather than to work on efficient utilization. Other hospitals could replicate these analyses to understand their situations.

The Milieu Manager: A Nursing Staffing Strategy to Reduce Observer Use in the Acute Psychiatric Inpatient Setting.

BACKGROUND: Rising acuity levels in inpatient settings have led to growing reliance on observers and increased the cost of care. OBJECTIVES: Minimizing use of observers, maintaining quality and safety of care, and improving bed access, without increasing cost. DESIGN: Nursing staff on two inpatient psychiatric units at an academic medical center pilot-tested the use of a "milieu manager" to address rising patient acuity and growing reliance on observers. Nursing cost, occupancy, discharge volume, unit closures, observer expense, and incremental nursing costs were tracked. Staff satisfaction and reported patient behavioral/safety events were assessed. RESULTS: The pilot initiatives ran for 8 months. Unit/bed closures fell to zero on both units. Occupancy, patient days, and discharges increased. Incremental nursing cost was offset by reduction in observer expense and by revenue from increases in occupancy and patient days. Staff work satisfaction improved and measures of patient safety were unchanged. CONCLUSIONS: The intervention was effective in reducing observation expense and improved occupancy and patient days while maintaining patient safety, representing a cost-effective and safe approach for management of acuity on inpatient psychiatric units.

The Impact of Mortality on Total Costs Within the ICU.

OBJECTIVES: The high cost of critical care has engendered research into identifying influential factors. However, existing studies have not considered patient vital status at ICU discharge. This study sought to determine the effect of mortality upon the total cost of an ICU stay. DESIGN: Retrospective cohort study. SETTING: Twenty-six ICUs at 13 hospitals in the United States. PATIENTS: 58,344 admissions from January 1, 2012, to June 30, 2016, obtained from a commercial ICU database. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The median observed cost of a unit stay was $9,619 (mean = $16,353). A multivariable regression model was developed on the log of total costs for a unit stay, using severity of illness, unit admitting diagnosis, mortality in the unit, daily unit occupancy (occupying a bed at midnight), and length of mechanical ventilation. This model had an r of 0.67 and a median difference between observed and expected costs of $437. The first few days of care and the first day receiving mechanical ventilation had the largest effect on total costs. Patients dying before unit discharge had 12.4% greater costs than survivors (p < 0.01; 99% CI = 9.3-15.5%) after multivariable adjustment. This effect was most pronounced for patients with an extended ICU stay who were receiving mechanical ventilation. CONCLUSIONS: While the largest drivers of ICU costs at the patient level are day 1 room occupancy and day 1 mechanical ventilation, mortality before unit discharge is associated with substantially higher costs. The increase was most evident for patients with an extended ICU stay who were receiving mechanical ventilation. Studies evaluating costs among ICUs need to take mortality into account.

An evaluation of the costs and consequences of Children Community Nursing teams.

AIMS: Recent years have seen an increasing shift towards providing care in the community, epitomised by the role of Children's Community Nursing (CCN) teams. However, there have been few attempts to use robust evaluative methods to interrogate the impact of such services. This study sought to evaluate whether reduction in secondary care costs, resulting from the introduction of 2 CCN teams, was sufficient to offset the additional cost of commissioning. METHODS: Among the potential benefits of the CCN teams is a reduction in the burden placed on secondary care through the delivery of care at home; it is this potential reduction which is evaluated in this study via a 2-part analytical method. Firstly, an interrupted time series analysis used Hospital Episode Statistics data to interrogate any change in total paediatric bed days as a result of the introduction of 2 teams. Secondly, a costing analysis compared the cost savings from any reduction in total bed days with the cost of commissioning the teams. This study used a retrospective longitudinal study design as part of the transforming children's community services trial, which was conducted between June 2012 and June 2015. RESULTS: A reduction in hospital activity after introduction of the 2 nursing teams was found, (9634 and 8969 fewer bed days), but this did not reach statistical significance. The resultant cost saving to the National Health Service was less than the cost of employing the teams. CONCLUSION: The study represents an important first step in understanding the role of such teams as a means of providing a high quality of paediatric care in an era of limited resource. While the cost saving from released paediatric bed days was not sufficient to demonstrate cost-effectiveness, the analysis does not incorporate wider measures of health care utilisation and nonmonetary benefits resulting from the CCN teams.

What is a hospital bed day worth? A contingent valuation study of hospital Chief Executive Officers.

BACKGROUND: Decreasing hospital length of stay, and so freeing up hospital beds, represents an important cost saving which is often used in economic evaluations. The savings need to be accurately quantified in order to make optimal health care resource allocation decisions. Traditionally the accounting cost of a bed is used. We argue instead that the economic cost of a bed day is the better value for making resource decisions, and we describe our valuation method and estimations for costing this important resource. METHODS: We performed a contingent valuation using 37 Australian Chief Executive Officers' (CEOs) willingness to pay (WTP) to release bed days in their hospitals, both generally and using specific cases. We provide a succinct thematic analysis from qualitative interviews post survey completion, which provide insight into the decision making process. RESULTS: On average CEOs are willing to pay a marginal rate of $216 for a ward bed day and $436 for an Intensive Care Unit (ICU) bed day, with estimates of uncertainty being greater for ICU beds. These estimates are significantly lower (four times for ward beds and seven times for ICU beds) than the traditional accounting costs often used. Key themes to emerge from the interviews include the importance of national funding and targets, and their associated incentive structures, as well as the aversion to discuss bed days as an economic resource. CONCLUSIONS: This study highlights the importance for valuing bed days as an economic resource to inform cost effectiveness models and thus improve hospital decision making and resource allocation. Significantly under or over valuing the resource is very likely to result in sub-optimal decision making. We discuss the importance of recognising the opportunity costs of this resource and highlight areas for future research.

Reducing the length of postnatal hospital stay: implications for cost and quality of care.

BACKGROUND: UK health services are under pressure to make cost savings while maintaining quality of care. Typically reducing the length of time patients stay in hospital and increasing bed occupancy are advocated to achieve service efficiency. Around 800,000 women give birth in the UK each year making maternity care a high volume, high cost service. Although average length of stay on the postnatal ward has fallen substantially over the years there is pressure to make still further reductions. This paper explores and discusses the possible cost savings of further reductions in length of stay, the consequences for postnatal services in the community, and the impact on quality of care. METHOD: We draw on a range of pre-existing data sources including, national level routinely collected data, workforce planning data and data from national surveys of women's experience. Simulation and a financial model were used to estimate excess demand, work intensity and bed occupancy to explore the quantitative, organisational consequences of reducing the length of stay. These data are discussed in relation to findings of national surveys to draw inferences about potential impacts on cost and quality of care. DISCURSIVE ANALYSIS: Reducing the length of time women spend in hospital after birth implies that staff and bed numbers can be reduced. However, the cost savings may be reduced if quality and access to services are maintained. Admission and discharge procedures are relatively fixed and involve high cost, trained staff time. Furthermore, it is important to retain a sufficient bed contingency capacity to ensure a reasonable level of service. If quality of care is maintained, staffing and bed capacity cannot be simply reduced proportionately: reducing average length of stay on a typical postnatal ward by six hours or 17% would reduce costs by just 8%. This might still be a significant saving over a high volume service however, earlier discharge results in more women and babies with significant care needs at home. Quality and safety of care would also require corresponding increases in community based postnatal care. Simply reducing staffing in proportion to the length of stay increases the workload for each staff member resulting in poorer quality of care and increased staff stress. CONCLUSIONS: Many policy debates, such as that about the length of postnatal hospital-stay, demand consideration of multiple dimensions. This paper demonstrates how diverse data sources and techniques can be integrated to provide a more holistic analysis. Our study suggests that while earlier discharge from the postnatal ward may achievable, it may not generate all of the anticipated cost savings. Some useful savings may be realised but if staff and bed capacity are simply reduced in proportion to the length of stay, care quality may be compromised.

Critical Care Medicine Beds, Use, Occupancy, and Costs in the United States: A Methodological Review.

This article is a methodological review to help the intensivist gain insights into the classic and sometimes arcane maze of national databases and methodologies used to determine and analyze the ICU bed supply, use, occupancy, and costs in the United States. Data for total ICU beds, use, and occupancy can be derived from two large national healthcare databases: the Healthcare Cost Report Information System maintained by the federal Centers for Medicare and Medicaid Services and the proprietary Hospital Statistics of the American Hospital Association. Two costing methodologies can be used to calculate U.S. ICU costs: the Russell equation and national projections. Both methods are based on cost and use data from the national hospital datasets or from defined groups of hospitals or patients. At the national level, an understanding of U.S. ICU bed supply, use, occupancy, and costs helps provide clarity to the width and scope of the critical care medicine enterprise within the U.S. healthcare system. This review will also help the intensivist better understand published studies on administrative topics related to critical care medicine and be better prepared to participate in their own local hospital organizations or regional critical care medicine programs.

Overcrowding in emergency department: an international issue.

Overcrowding in the emergency department (ED) has become an increasingly significant worldwide public health problem in the last decade. It is a consequence of simultaneous increasing demand for health care and a deficit in available hospital beds and ED beds, as for example it occurs in mass casualty incidents, but also in other conditions causing a shortage of hospital beds. In Italy in the last 12-15 years, there has been a huge increase in the activity of the ED, and several possible interventions, with specific organizational procedures, have been proposed. In 2004 in the United Kingdom, the rule that 98 % of ED patients should be seen and then admitted or discharged within 4 h of presentation to the ED ('4 h rule') was introduced, and it has been shown to be very effective in decreasing ED crowding, and has led to the development of further acute care clinical indicators. This manuscript represents a synopsis of the lectures on overcrowding problems in the ED of the Third Italian GREAT Network Congress, held in Rome, 15-19 October 2012, and hopefully, they may provide valuable contributions in the understanding of ED crowding solutions.

Valuation of hospital bed-days released by infection control programs: a comparison of methods.

We performed a contingent valuation survey to elicit the opportunity cost of bed-days consumed by healthcare-associated infections in 11 European hospitals. The opportunity cost of a bed-day was significantly lower than the accounting cost; median values were €72 and €929, respectively (P < .001). Accounting methods overestimate the opportunity cost of bed-days.