Actual Cost of Extracorporeal Cardiopulmonary Resuscitation: A Time-Driven Activity-Based Costing Study.

OBJECTIVES: To determine the actual cost and drivers of the cost of an extracorporeal cardiopulmonary resuscitation (E-CPR) care cycle. PERSPECTIVE: A time-driven activity-based costing study conducted from a healthcare provider perspective. SETTING: A quaternary care ICU providing around-the-clock E-CPR service for out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA) in Australia. METHODS: The E-CPR care cycle was defined as the time from initiating E-CPR to hospital discharge or death of the patient. Detailed process maps with discrete steps and probabilistic decision nodes accounting for the complex trajectories of E-CPR patients were developed. Data about clinical and nonclinical resources and timing of activities was collected multiple times for each process . Total direct costs were calculated using the time estimates and unit costs per resource for all clinical and nonclinical resources. The total direct costs were combined with indirect costs to obtain the total cost of E-CPR. RESULTS: From 10 E-CPR care cycles observed during the study period, a minimum of 3 observations were obtained per process. The E-CPR care cycle's mean (95% CI) cost was $75,014 ($66,209-83,222). Initiation of extracorporeal membrane oxygenation (ECMO) and ECMO management constituted 18% of costs. The ICU management (35%) and surgical costs (20%) were the primary cost determinants. IHCA had a higher mean (95% CI) cost than OHCA ($87,940 [75,372-100,570] vs. 62,595 [53,994-71,890], p < 0.01), mainly because of the increased survival and ICU length of stay of patients with IHCA. The mean cost for each E-CPR survivor was $129,503 ($112,422-147,224). CONCLUSIONS: Significant costs are associated with E-CPR for refractory cardiac arrest. The cost of E-CPR for IHCA was higher compared with the cost of E-CPR for OHCA. The major determinants of the E-CPR costs were ICU and surgical costs. These data can inform the cost-effectiveness analysis of E-CPR in the future.

What Is the Potential Value of a Randomized Trial of Different Thresholds to Initiate Invasive Ventilation? A Health Economic Analysis.

OBJECTIVES: To estimate the expected value of undertaking a future randomized controlled trial of thresholds used to initiate invasive ventilation compared with usual care in hypoxemic respiratory failure. PERSPECTIVE: Publicly funded healthcare payer. SETTING: Critical care units capable of providing invasive ventilation and unconstrained by resource limitations during usual (nonpandemic) practice. METHODS: We performed a model-based cost-utility estimation with individual-level simulation and value-of-information analysis focused on adults, admitted to critical care, receiving noninvasive oxygen. In the primary scenario, we compared hypothetical threshold A to usual care, where threshold A resulted in increased use of invasive ventilation and improved survival compared with usual care. In the secondary scenario, we compared hypothetical threshold B to usual care, where threshold B resulted in decreased use of invasive ventilation and similar survival compared with usual care. We assumed a willingness-to-pay of 100,000 Canadian dollars (CADs) per quality-adjusted life year. RESULTS: In the primary scenario, threshold A was cost-effective compared with usual care due to improved hospital survival (78.1% vs. 75.1%), despite more use of invasive ventilation (62% vs. 30%) and higher lifetime costs (86,900 vs. 75,500 CAD). In the secondary scenario, threshold B was cost-effective compared with usual care due to similar survival (74.5% vs. 74.6%) with less use of invasive ventilation (20.2% vs. 27.6%) and lower lifetime costs (71,700 vs. 74,700 CAD). Value-of-information analysis showed that the expected value to Canadian society over 10 years of a 400-person randomized trial comparing a threshold for invasive ventilation to usual care in hypoxemic respiratory failure was 1.35 billion CAD or more in both scenarios. CONCLUSIONS: It would be highly valuable to society to identify thresholds that, in comparison to usual care, either increase survival or reduce invasive ventilation without reducing survival.

Intensive care unit improves dialysis care quality while reducing costs.

AIMS AND BACKGROUND: The current report details transition of outsourced conventional dialysis therapy in the ICU services to an in-house prolonged intermittent renal replacement therapy (PIRRT) service model as a quality improvement project using the Tablo Hemodialysis System, Outset Medical, Inc. The goals were aimed at maintaining or improving clinical outcomes, while also reducing dialysis-related nursing staff burden and dialysis-related treatment costs. METHODS: A descriptive comparative analysis was conducted of renal replacement therapy (RRT) of ≥6 hours in duration performed in the 1 year prior and 1 year after the ICU's in-house program launch using a PIRRT model including sequential 24-h treatments when medically necessary. RESULTS: Overall, there were 145 intensive care unit (ICU) stays among 145 patients with 13,641 h of conventional ICU dialysis in the year prior to program transition. In the year post, there were 116 ICU stays among 116 patients with 5,098 h of PIRRT. By employing a PIRRT and sequential 24-h treatment strategy vs. the prior outsourced model, the mean dialysis treatment hours per patient were reduced (Pre, 94.1 h with 214 treatment starts; Post, 43.9 h with 370 treatment starts), increasing ICU nurse productivity by 50.2 h per patient. Overall, ICU length of stay and ICU mortality declined post-service transition by 4.8 days and 9.8 percentage points (pp), respectively, overall, and in the non-COVID subset by 1.6 days and 3.1 pp, respectively. CONCLUSIONS: Insourcing RRT with an innovative technology that can provide both PIRRT and 24-h sequential treatments can maintain or improve clinical outcomes in critically ill patients requiring RRT in the ICU, while reducing dialysis-related costs.

Associations between BMI and hospital resource use in patients hospitalised for COVID-19 in England: a community-based cohort study.

BACKGROUND: Excess weight is a major risk factor for severe disease after infection with SARS-CoV-2. However, the effect of BMI on COVID-19 hospital resource use has not been fully quantified. This study aimed to identify the association between BMI and hospital resource use for COVID-19 admissions with the intention of informing future national hospital resource allocation. METHODS: In this community-based cohort study, we analysed patient-level data from 57 415 patients admitted to hospital in England with COVID-19 between April 1, 2020, and Dec 31, 2021. Patients who were aged 20-99 years, had been registered with a general practitioner (GP) surgery that contributed to the QResearch database for the whole preceding year (2019) with at least one BMI value measured before April 1, 2020, available in their GP record, and were admitted to hospital for COVID-19 were included. Outcomes of interest were duration of hospital stay, transfer to an intensive care unit (ICU), and duration of ICU stay. Costs of hospitalisation were estimated from these outcomes. Generalised linear and logit models were used to estimate associations between BMI and hospital resource use outcomes. FINDINGS: Patients living with obesity (BMI >30·0 kg/m2) had longer hospital stays relative to patients in the reference BMI group (18·5-25·0 kg/m2; IRR 1·07, 95% CI 1·03-1·10); the reference group had a mean length of stay of 8·82 days (95% CI 8·62-9·01). Patients living with obesity were more likely to be admitted to ICU than the reference group (OR 2·02, 95% CI 1·86-2·19); the reference group had a mean probability of ICU admission of 5·9% (95% CI 5·5-6·3). No association was found between BMI and duration of ICU stay. The mean cost of COVID-19 hospitalisation was £19 877 (SD 17 918) in the reference BMI group. Hospital costs were estimated to be £2736 (95% CI 2224-3248) higher for patients living with obesity. INTERPRETATION: Patients admitted to hospital with COVID-19 with a BMI above the healthy range had longer stays, were more likely to be admitted to ICU, and had higher health-care costs associated with hospital treatment of COVID-19 infection as a result. This information can inform national resource allocation to match hospital capacity to areas where BMI profiles indicate higher demand. FUNDING: National Institute for Health Research.

Use of Early Ketamine Sedation and Association With Clinical and Cost Outcomes Among Mechanically Ventilated Patients With COVID-19: A Retrospective Cohort Study.

OBJECTIVES: To describe the utilization of early ketamine use among patients mechanically ventilated for COVID-19, and examine associations with in-hospital mortality and other clinical outcomes. DESIGN: Retrospective cohort study. SETTING: Six hundred ten hospitals contributing data to the Premier Healthcare Database between April 2020 and June 2021. PATIENTS: Adults with COVID-19 and greater than or equal to 2 consecutive days of mechanical ventilation within 5 days of hospitalization. INTERVENTION: The exposures were early ketamine use initiated within 2 days of intubation and continued for greater than 1 day. MEASUREMENTS: Primary was hospital mortality. Secondary outcomes included length of stay (LOS) in the hospital and ICUs, ventilator days, vasopressor days, renal replacement therapy (RRT), and total hospital cost. The propensity score matching analysis was used to adjust for confounders. MAIN RESULTS: Among 42,954 patients, 1,423 (3.3%) were exposed to early ketamine use. After propensity score matching including 1,390 patients in each group, recipients of ketamine infusions were associated with higher hospital mortality (52.5% vs. 45.9%, risk ratio: 1.14, [1.06-1.23]), longer median ICU stay (13 vs. 12 d, mean ratio [MR]: 1.15 [1.08-1.23]), and longer ventilator days (12 vs. 11 d, MR: 1.19 [1.12-1.27]). There were no associations for hospital LOS (17 [10-27] vs. 17 [9-28], MR: 1.05 [0.99-1.12]), vasopressor days (4 vs. 4, MR: 1.04 [0.95-1.14]), and RRT (22.9% vs. 21.7%, RR: 1.05 [0.92-1.21]). Total hospital cost was higher (median $72,481 vs. $65,584, MR: 1.11 [1.05-1.19]). CONCLUSIONS: In a diverse sample of U.S. hospitals, about one in 30 patients mechanically ventilated with COVID-19 received ketamine infusions. Early ketamine may have an association with higher hospital mortality, increased total cost, ICU stay, and ventilator days, but no associations for hospital LOS, vasopressor days, and RRT. However, confounding by the severity of illness might occur due to higher extracorporeal membrane oxygenation and RRT use in the ketamine group. Further randomized trials are needed to better understand the role of ketamine infusions in the management of critically ill patients.

Reducing low-value interhospital transfers for mild traumatic brain injury.

BACKGROUND: The modified Brain Injury Guidelines (mBIG) were developed to stratify traumatic brain injuries (TBIs) and improve health care utilization by selectively requiring repeat imaging, intensive care unit admission, and neurosurgical (NSG) consultation. The goal of this study is to assess safety and potential resource savings associated with the application of mBIG on interhospital patient transfers for TBI. METHODS: Adult patients with TBI transferred to our Level I trauma center from January 2017 to December 2022 meeting mBIG inclusion criteria were retrospectively stratified into mBIG1, mBIG2, and mBIG3 based on initial clinicoradiological factors. At the time, our institution routinely admitted patients with TBI and intracranial hemorrhage (ICH) to the intensive care unit and obtained a repeat head computed tomography with NSG consultation, independent of TBI severity or changes in neurological examination. The primary outcome was progression of ICH on repeat imaging and/or NSG intervention. Secondary outcomes included length of stay and financial charges. Subgroup analysis on isolated TBI without significant extracranial injury was performed. RESULTS: Over the 6-year study period, 289 patients were classified into mBIG1 (61; 21.1%), mBIG2 (69; 23.9%), and mBIG3 (159; 55.0%). Of mBIG1 patients, 2 (2.9%) had radiological progression to mBIG2 without clinical decline, and none required NSG intervention. Of mBIG2, 2 patients (3.3%) progressed to mBIG3, and both required NSG intervention. More than 35% of transferred patients had minor isolated TBI. For mBIG1 and mBIG2, the median hospitalization charges per patient were $152,296 and $149,550, respectively, and the median length of stay was 4 and 5 days, respectively, with the majority downgraded from the intensive care unit within 48 hours. CONCLUSION: Clinically significant progression of ICH occurred infrequently in 1.5% of patients with mBIG1 and mBIG2 injuries. More than 35% of interfacility transfers for minor isolated TBI meeting mBIG1 and 2 criteria are low value and may potentially be safely deferred in an urban health care setting. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.

Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure.

Rationale: Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. Objective: To identify risk factors, in particular whether an early goals-of-care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. Methods: We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ⩾48 h of mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (⩾$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Results: Patients in the sample had a median age of 71 (IQR, 62-79) years. Approximately half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. More than half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had a 50% lower risk of a high-cost hospitalization (risk ratio, 0.50; 95% confidence interval, 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with a lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU compared with a medical ICU were associated with a higher likelihood of high-cost hospitalization. Conclusions: Early GOCDs for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.

Price for waiting: the adverse outcomes of boarding critically ill elderly medical patients in the emergency department.

PURPOSE: Boarding, the period in which a patient spends in the emergency department (ED) before admission, may be hazardous to critically ill patients, particularly the elderly. This study investigated the associations of boarding with hospital course, prognosis, and medical expenditure in older patients. METHODS: From January 2019 to December 2021, the medical records of older patients (age ≥ 65) visiting the ED of a tertiary referral hospital who were admitted to the medical intensive care unit (ICU) were retrospectively reviewed. Eligible patients were categorized into two groups according to boarding time with a cutoff set at 6 h. Primary outcomes were in-hospital mortality, ICU/hospital length of stay, and total/average hospitalization cost. Subgroup analyses considered age and disease type. RESULTS: Among 1318 ICU admissions from the ED, 36% were subjected to boarding for over 6 h. Prolonged boarding had a longer ICU (8.9 ± 8.8 vs. 11.2 ± 12.2 days, P < .001) and hospital (17.8 ± 20.1 vs. 22.8 ± 23.0 days, P < .001) stay, higher treatment cost (10.4 ± 13.9 vs. 13.2 ± 16.5 thousands of USD, P = .001), and hospital mortality (19% vs. 25% P = .020). Multivariate regression analysis showed a longer ICU stay in patients aged 65-79 (8.3 ± 8.4 vs. 11.8 ± 14.2 days, P < .001) and cardiology patients (6.9 ± 8.4 vs. 8.8 ± 9.7 days, P = .001). Besides, the treatment cost was also higher for both groups (10.4 ± 14.6 vs. 13.7 ± 17.7 thousands of USD, P = .004 and 8.4 ± 14.0 vs. 11.7 ± 16.6 thousands of USD, P < .001, respectively). CONCLUSION: Extended ED boarding for critically ill medical patients over 65 years old was associated with negative outcomes, including longer ICU/hospital stays, higher treatment costs, and hospital mortality.

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given the financial pressure on healthcare budgets, this study assessed whether PC has the potential to be cost-effective compared with standard care, without the use of PC, for Dutch patients in the ICU from a societal perspective. METHODS: A 1-year, 7-state Markov model reflecting the ICU care pathway and incorporating the PC decision tool was developed. A hypothetical cohort of 1000 adult Dutch patients admitted in the ICU was entered in the model. We used the literature, expert opinion, and data from Amsterdam University Medical Center for model parameters. The uncertainty surrounding the incremental cost-effectiveness ratio was assessed using deterministic and probabilistic sensitivity analyses and scenario analyses. RESULTS: PC was a cost-effective strategy with an incremental cost-effectiveness ratio of €18 507 per quality-adjusted life-year. PC remained cost-effective over standard care in multiple scenarios and sensitivity analyses. The likelihood that PC will be cost-effective was 71% at a willingness-to-pay threshold of €30 000 per quality-adjusted life-year. The key driver of the results was the parameter "reduction in ICU length of stay." CONCLUSIONS: We showed that PC has the potential to be cost-effective for Dutch ICUs in a time horizon of 1 year. This study is one of the first cost-effectiveness analyses of a machine learning device. Further research is needed to validate the effectiveness of PC, thereby focusing on the key parameter "reduction in ICU length of stay" and potential spill-over effects.

Proportional-assist ventilation with load-adjustable gain factors for mechanical ventilation: a cost-utility analysis.

BACKGROUND: Mechanical ventilation is an important component of patient critical care, but it adds expense to an already high-cost setting. This study evaluates the cost-utility of 2 modes of ventilation: proportional-assist ventilation with load-adjustable gain factors (PAV+ mode) versus pressure-support ventilation (PSV). METHODS: We adapted a published Markov model to the Canadian hospital-payer perspective with a 1-year time horizon. The patient population modelled includes all patients receiving invasive mechanical ventilation who have completed the acute phase of ventilatory support and have entered the recovery phase. Clinical and cost inputs were informed by a structured literature review, with the comparative effectiveness of PAV+ mode estimated via pragmatic meta-analysis. Primary outcomes of interest were costs, quality-adjusted life years (QALYs) and the (incremental) cost per QALY for patients receiving mechanical ventilation. Results were reported in 2017 Canadian dollars. We conducted probabilistic and scenario analyses to assess model uncertainty. RESULTS: Over 1 year, PSV had costs of $50 951 and accrued 0.25 QALYs. Use of PAV+ mode was associated with care costs of $43 309 and 0.29 QALYs. Compared to PSV, PAV+ mode was considered likely to be cost-effective, having lower costs (-$7642) and increased QALYs (+0.04) after 1 year. In cost-effectiveness acceptability analysis, 100% of simulations would be cost-effective at a willingness-to-pay threshold of $50 000 per QALY gained. INTERPRETATION: Use of PAV+ mode is expected to benefit patient care in the intensive care unit (ICU) and be a cost-effective alternative to PSV in the Canadian setting. Canadian hospital payers may therefore consider how best to optimally deliver mechanical ventilation in the ICU as they expand ICU capacity.

Cost-Effectiveness in Perioperative Care: Application of Markov Modeling to Pathways of Perioperative Care.

OBJECTIVES: This study aimed to evaluate the application of cost-effectiveness modeling to redesign of perioperative care pathways, from a hospital perspective. METHODS: A Markov cost-effectiveness model of patient transition between care locations, each with different characteristics and cost, was developed. Inputs were derived from clinical trials piloting a preoperative call center and a postoperative medium-acuity care unit. The effect chosen was days at home (DAH) after surgery, reflecting quality of in-hospital care, acknowledged financially by fundholders, and relevant to consumers. Cost was from the hospital's perspective. A model cycle time of 4 hours for 30 days reflected relevant timelines and costs. RESULTS: A Markov model was successfully created, accounting for the care locations in the 2 pathways as model states and accounting for consequences and costs. Cost-effectiveness analysis allowed the calculation of an incremental cost-effectiveness ratio comparing these pathways, providing a mean incremental cost-effectiveness ratio of -$427 per additional DAH, where incremental costs and DAH were -$644 and +1.51, respectively. Probabilistic sensitivity analysis suggested the new pathway had a 61% probability of reduced costs and a 74% probability of increased DAH and a 58% probability this pathway was dominant. Tornado analysis revealed the major contributor to increased costs as intensive care unit stay and the major contributor to decreased costs as ward stay. For the new pathway, the probability of transfer from ward to home and the probability of staying at home had the greatest impact on DAH. CONCLUSIONS: These data suggest Markov modeling may be a useful tool for the cost-effectiveness analysis of initiatives in perioperative care.

Sustainable Laboratory-Driven Method to Decrease Repeat, Same-Day WBC Differentials at a Tertiary Care Center.

OBJECTIVES: A CBC with WBC differential is often ordered when a CBC alone would be sufficient for patient care. Performing unnecessary WBC differentials adds to costs in the laboratory. Our objective was to implement a laboratory middleware algorithm to cancel repeat, same-day WBC differentials to achieve lasting improvements in laboratory resource allocation. METHODS: Repeat same-day WBC differentials were first canceled only on intensive care unit samples; after a successful trial period, the algorithm was applied hospital-wide. We retrospectively reviewed CBC with differential orders from pre- and postimplementation periods to estimate the reduction in WBC differentials and potential cost savings. RESULTS: The algorithm led to a monthly WBC differential cancellation rate of 5.40% for a total of 10,195 canceled WBC differentials during the cumulative postimplementation period (September 25, 2019, to December 31, 2020). Nearly all (99.94%) differentials remained canceled. Most patients only had one WBC differential canceled (range, 1-38). Savings estimates showed savings of $0.99 CAD per canceled differential and 1,060 minutes (17.7 hours) of technologist time. CONCLUSIONS: A middleware algorithm to cancel repeat, same-day WBC differentials is a simple and sustainable way to achieve lasting improvements in laboratory utilization.

A Population-Based Cohort Study on Chronic Comorbidity Risk Factors for Adverse Dengue Outcomes.

The global burden of dengue is increasing against a background of rising global prevalence of chronic noncommunicable diseases (NCDs) and an epidemiological shift of dengue toward older age groups. The contribution of NCDs toward risk for adverse clinical and healthcare utilization outcomes was assessed in a national linked-database study. About 51,433 adult dengue cases between 2014 and 2015 were assessed for outpatient and inpatient claims data in Taiwan's National Health Insurance Research Database for the 30 days after their dengue diagnosis. A multivariable logistic regression with generalized estimating equations was used to estimate the probability of adverse dengue outcomes in patients with NCDs compared with dengue patients without underlying diseases. Rheumatoid arthritis and related disease were associated with the highest risk of hospitalization after dengue diagnosis (odds ratio: 1.78; 95% CI: 1.37-2.30), followed by stroke, chronic kidney disease (CKD), liver cirrhosis, asthma, coronary artery disease, chronic obstructive pulmonary disease, diabetes, congestive heart failure, hypertension, and malignancy. Chronic kidney disease and diabetes were associated with higher risks of hospitalization, intensive care unit (ICU) use, and all-cause mortality. After adjusting for socioeconomic status and other variables, the number of coexisting chronic diseases was associated with increasing risk of adverse dengue outcomes. Specific NCDs were associated with longer hospitalizations, ICU admission, and higher healthcare costs. Quantifying the risks of adverse dengue outcomes and health expenditures among dengue patients with preexisting NCDs provides insights for improved clinical management and essential inputs for health economic analyses on the cost-benefit of risk-based routine or catch-up immunization programs.

Treatment of moderate to severe respiratory COVID-19: a cost-utility analysis.

Despite COVID-19's significant morbidity and mortality, considering cost-effectiveness of pharmacologic treatment strategies for hospitalized patients remains critical to support healthcare resource decisions within budgetary constraints. As such, we calculated the cost-effectiveness of using remdesivir and dexamethasone for moderate to severe COVID-19 respiratory infections using the United States health care system as a representative model. A decision analytic model modelled a base case scenario of a 60-year-old patient admitted to hospital with COVID-19. Patients requiring oxygen were considered moderate severity, and patients with severe COVID-19 required intubation with intensive care. Strategies modelled included giving remdesivir to all patients, remdesivir in only moderate and only severe infections, dexamethasone to all patients, dexamethasone in severe infections, remdesivir in moderate/dexamethasone in severe infections, and best supportive care. Data for the model came from the published literature. The time horizon was 1 year; no discounting was performed due to the short duration. The perspective was of the payer in the United States health care system. Supportive care for moderate/severe COVID-19 cost $11,112.98 with 0.7155 quality adjusted life-year (QALY) obtained. Using dexamethasone for all patients was the most-cost effective with an incremental cost-effectiveness ratio of $980.84/QALY; all remdesivir strategies were more costly and less effective. Probabilistic sensitivity analyses showed dexamethasone for all patients was most cost-effective in 98.3% of scenarios. Dexamethasone for moderate-severe COVID-19 infections was the most cost-effective strategy and would have minimal budget impact. Based on current data, remdesivir is unlikely to be a cost-effective treatment for COVID-19.

Determinants of hospital inefficiency. The case of Polish county hospitals.

Local hospitals play a crucial role in the healthcare system. In this study, the efficiency of Polish county hospitals is assessed by considering characteristics of hospitals that may determine their performance, such as the form of ownership, size, and staff structure. The main goal was to analyze the effect of three possible determinants on efficiency: ownership, the presence of an Emergency Department, and the presence of an Intensive Care Unit. The study covered different subgroups of hospitals and different approaches of inputs and outputs. An input-oriented radial super-efficiency DEA model under variable returns to scale was used for the efficiency analysis, and then differences between distributions of efficient and inefficient units were evaluated using a Chi-square test. A Kruskal-Wallis test was also used to analyze differences in mean efficiency. Inefficiency scores were regressed with hospital characteristics to test for other determinants. These results did not confirm differences in efficiency concerning ownership. However, in some subgroups of hospitals, running an Emergency Department or an Intensive Care Unit had a significant effect. Tobit regression results provided additional insight into how an Emergency Department or Intensive Care Unit can affect efficiency. Both cases had an effect of increasing inefficiency, and the data suggested that the department/unit size plays an important role.

Assessing the Cost Burden of Pediatric Neurosurgery in Kaduna, Nigeria.

BACKGROUND: Few studies have evaluated the cost burden borne by neurosurgical patients in the developing world and their potential implications for efficient and effective delivery of care. This study aims to assess the cost associated with obtaining pediatric neurosurgical care in a hospital in Kaduna. METHODS: All patients younger than 15 years who had a neurosurgical operation from July to December 2019 were included in the study. The characteristics of the patients were obtained using a proforma while the cost data were retrieved from the accounts unit of the hospital. The direct cost was obtained from the billing records of the hospital. Indirect cost was obtained using a questionnaire. The data obtained were analyzed using SPSS version 25 for Windows. RESULTS: A total of 27 patients were included in the study with a mean age of 7.2 years and a standard deviation of 4.95 years. The 2 most common procedures done were craniotomy for trauma and ventriculoperitoneal shunt insertion for hydrocephalus. The mean total cost of a neurosurgical procedure was $895.99. Intensive care unit length of stay was found to have a significant influence on the direct cost. The cost of surgery and investigation were the main contributors to the total cost of care with a mean of $618.3 and a standard deviation of $248.67. CONCLUSIONS: The mean cost of pediatric neurosurgical procedures in our setting is $895.99, which is 40.18% of our gross domestic product per capita. The main drivers of cost are the cost of operation, investigations, and intensive care unit length of stay.

Using decision trees to determine participation in bundled payments in sepsis cases.

RATIONALE: The purpose of this research is to determine and develop a valid analytical method that can be easily implemented by providers to evaluate whether they should join the bundled payments for care improvement (BPCI) advanced bundled payment program, and analyze the projected impacts of BPCI advanced payment on their margins. METHODS: We have developed a decision tree model that incorporates the types of sepsis encountered and the resultant typical complications and associated costs. RESULTS: The initial cost of a sepsis episode was $30,386. Since Medicare requires that there is a 3% cost reduction under BPCI, we applied the model with a 3% cost reduction across the board. Since the model considers probabilities of the complications and readmission, there was actually a 3.36% reduction in costs when the 3% reduction was added to the model. We applied 2-way sensitivity analysis to the intensive care unit (ICU) long and short costs. We used the unbundled cost at the high end, and a 10% reduction at the low end. Per patient episode cost varied between $28,117 and $29,658. This is a 5.2% difference between low and high end. Next, we looked at varying the hospital bed (non-ICU) costs. Here the resultant cost varied between $28,708 and $29,099. This is only a 1.34% difference between low and high ends. Finally, we applied a sensitivity analysis varying the attending physician and the intensivist reimbursement fees. The result was a cost that varied between $29,191 and $29,366 which is a difference of only 0.595%. CONCLUSION: This is the precise environment where decision tree analysis modeling is essential. This analysis can guide the hospital in just how to allocate resources in light of the new BPCI advanced payment model.