OBJECTIVE: To determine the actual cost and drivers of the cost of an extracorporeal cardiopulmonary resuscitation (E-CPR) care cycle.
CONCLUSIONS: A time-driven activity-based costing study conducted from a healthcare provider perspective.
METHODS: 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.

OBJECTIVE: To determine the budget impact of implementing multidisciplinary complex pain clinics (MCPCs) for Veterans Health Administration (VA) patients living with complex chronic pain and substance use disorder comorbidities who are on risky opioid regimens.
METHODS: We measured implementation costs for three MCPCs over 2 years using micro-costing methods. Intervention and downstream costs were obtained from the VA Managerial Cost Accounting System from 2 years prior to 2 years after opening of MCPCs.
METHODS: Staff at the three VA sites implementing MCPCs were supported by Implementation Facilitation. The intervention cohort was patients at MCPC sites who received treatment based on their history of chronic pain and risky opioid use. Intervention costs and downstream costs were estimated with a quasi-experimental study design using a propensity score-weighted difference-in-difference approach. The healthcare utilization costs of treated patients were compared with a control group having clinically similar characteristics and undergoing the standard route of care at neighboring VA medical centers. Cancer and hospice patients were excluded.
METHODS: Activity-based costing data acquired from MCPC sites were used to estimate implementation costs. Intervention and downstream costs were extracted from VA administrative data.
RESULTS: Average Implementation Facilitation costs ranged from $380 to $640 per month for each site. Upon opening of three MCPCs, average intervention costs per patient were significantly higher than the control group at two intervention sites. Downstream costs were significantly higher at only one of three intervention sites. Site-level differences were due to variation in inpatient costs, with some confounding likely due to the COVID-19 pandemic. This evidence suggests that necessary start-up investments are required to initiate MCPCs, with allocations of funds needed for implementation, intervention, and downstream costs.
CONCLUSIONS: Incorporating implementation, intervention, and downstream costs in this evaluation provides a thorough budget impact analysis, which decision-makers may use when considering whether to expand effective programming.

Introduction Few mandatory community-based attachments for postgraduate year two doctors (PGY2s) in Aotearoa New Zealand are hosted in general practices, due to space, time and remuneration barriers. Aim This study aimed to explore the costs, barriers and enablers to general practices of hosting PGY2s. Methods A cost analysis for four general practices beginning to host PGY2s was undertaken, including time spent supervising and supporting PGY2s, revenue impact including subsidies and cost of providing clinical space. Interviews with these practices and seven experienced PGY2 host practices were conducted and analysed thematically. Results The estimated mean cost of hosting PGY2s excluding room cost was NZ$4907 per 13-week placement (range $890-$9183), increasing to $13 727 per placement (range $5750-$24 715) when room rental was included. Four themes were identified: working within a small business model; a new learning environment for PGY2s; providing positive experiences for the PGY2s; the relationship between practices and district hospitals that employed the PGY2s, including job sizing. Discussion Tension exists between the small business model of general practice and providing positive experiences for PGY2s in a new learning environment. Guidance and support structures for PGY2 hosting should be developed nationally, and communication and cooperation between practices and employing hospitals needs improvement. Out-of-hours work should be included in community-based attachments so PGY2s\' remuneration is consistent. General practice teams are willing to be part of creating a sustainable workforce. However, the time taken to host and costs of providing training in primary care are barriers. There is urgent need to increase funding to general practices for hosting PGY2s.

UNASSIGNED: This paper aims to provide a better understanding of the different engagement, cost, and resource considerations in developing and implementing mHealth solutions in the Philippines during the COVID-19 pandemic.
UNASSIGNED: First, six participants completed a form to document the estimated costs of developing a pseudo mobile application with features to mitigate the pandemic. Second, ten key informant interviews determined the facilitators, barriers, and resource requirements in developing mHealth tools.
UNASSIGNED: The average cost estimate to develop and roll out a mobile application with public health and epidemiology features is Php 4,018,907 (US $78,650). The analysis of the interviews resulted in 12 themes organized in three domains: 1) facilitators and barriers in developing and sustaining mHealth solutions; 2) costs of sustaining mHealth technologies; and 3) factors affecting the costs of development and maintenance of mHealth technologies.
UNASSIGNED: While differences in the cost estimates are evident, it provides a ballpark figure and the different factors that implementers need to sustain and maintain an mHealth solution. This paper hopes to inform policies and practices in engaging technology solution partners and in scaling up mHealth technologies.

Few studies have examined variability in OR utilization across weekdays. We conducted a retrospective analysis to determine OR utilization differences by day of the week and the source and financial effects of any variability. We extracted 55 months of data from a surgical data repository to calculate OR utilization, late starts, idle times, and delays for each weekday. Declines in OR utilization occurred as the week progressed and were attributed to compounding changes in late start, delay, and idle time. The average weekly cost for each OR associated with unused staffed minutes below a target OR utilization of 85% was $19,383, and the comparable lost weekly revenue was $60,256. Perioperative leaders should identify sources of OR utilization variability when developing strategies that enhance outcomes for patients, minimize costs, and maximize revenue.

BACKGROUND: The organisational care needs involved in accessing kidney transplant have not been described in the literature and therefore a detailed analysis thereof could help to establish a framework (including appropriate timing, investment, and costs) for the management of this population. The main objective of this study is to analyse the profile and care needs of kidney transplant candidates in a tertiary hospital and the direct costs of studying them.
METHODS: A descriptive, cross-sectional study was conducted using data on a range of variables (sociodemographic and clinical characteristics, study duration, and investment in visits and supplementary tests) from 489 kidney transplant candidates evaluated in 2020.
RESULTS: The comorbidity index was high (> 4 in 64.3%), with a mean of 5.6 ± 2.4. Part of the study population had certain characteristics that could hinder their access a kidney transplant: physical dependence (9.4%), emotional distress (33.5%), non-adherent behaviours (25.2%), or language barriers (9.4%). The median study duration was 6.6[3.4;14] months. The ratio of required visits to patients was 5.97:1, meaning an investment of €237.10 per patient, and the ratio of supplementary tests to patients was 3.5:1, meaning an investment of €402.96 per patient.
CONCLUSIONS: The study population can be characterised as complex due to their profile and their investment in terms of time, visits, supplementary tests, and direct costs. Management based on our results involves designing work-adaptation strategies to the needs of the study population, which can lead to increased patient satisfaction, shorter waiting times, and reduced costs.

UNASSIGNED: Little is known about replacement costs of care provided by informal carers during the last year of life for people dying of cancer and non-cancer diseases.
UNASSIGNED: To estimate informal caregiving costs and explore the relationship with carer and decedent characteristics.
UNASSIGNED: National observational study of bereaved carers. Questions included informal end-of-life caregiving into the 2017 Health Survey for England including estimated recalled frequency, duration and intensity of care provision. We estimated replacement costs for a decedent\'s last year of life valuing time at the price of a substitutable activity. Spearman rank correlations and multivariable linear regression were used to explore relationships with last year of life costs.
UNASSIGNED: Adult national survey respondents - England.
UNASSIGNED: A total of 7997 adults were interviewed from 5767/9612 (60%) of invited households. Estimated replacement costs of personal care and other help were £27,072 and £13,697 per carer and a national cost of £13.2 billion and £15.5 billion respectively. Longer care duration and intensity, older age, death at home (lived together), non-cancer cause of death and greater deprivation were associated with increased costs. Female sex, and not accessing \'other care services\' were related to higher costs for other help only.
UNASSIGNED: We provide a first adult general population estimate for replacement informal care costs in the last year of life of £41,000 per carer per decedent and highlight characteristics associated with greater costs. This presents a major challenge for future universal care coverage as the pool of people providing informal care diminish with an ageing population.

OBJECTIVE: The direct cost of diabetes to the UK health system was estimated at around £10 billion in 2012. This analysis updates that estimate using more recent and accurate data sources.
METHODS: A pragmatic review of relevant data sources for UK nations was conducted, including population-level data sets and published literature, to generate estimates of costs separately for Type 1, Type 2 and gestational diabetes. A comprehensive cost framework, developed in collaboration with experts, was used to create a population-based cost of illness model. The key driver of the analysis was prevalence of diabetes and its complications. Estimates were made of the excess costs of diagnosis, treatment and diabetes-related complications compared with the general UK population. Estimates of the indirect costs of diabetes focused on productivity losses due to absenteeism and premature mortality.
RESULTS: The direct costs of diabetes in 2021/22 for the UK were estimated at £10.7 billion, of which just over 40% related to diagnosis and treatment, with the rest relating to the excess costs of complications. Indirect costs were estimated at £3.3 billion.
CONCLUSIONS: Diabetes remains a considerable cost burden in the UK, and the majority of those costs are still spent on potentially preventable complications. Although rates of some complications are reducing, prevalence continues to increase and effective approaches to primary and secondary prevention continue to be needed. Improvements in data capture, data quality and reporting, and further research on the human and financial implications of increasing incidence of Type 2 diabetes in younger people are recommended.

The efficiency and responsiveness of supply chains are vitally dependent on inventory replenishment and transportation decisions. In this paper, we study a supply chain consisting of a single retailer ordering seasonal products within the newsvendor framework. The primary objective of the paper is to investigate the retailer\'s decision-making process, aimed at determining the optimal replenishment quantities and selecting the appropriate mix and size of the truck fleet. Initially, we formulate a mathematical model where the retailer exclusively manages a limited fleet of its own trucks for inbound transportation of a single seasonal product. In this context, we determine a lower breakeven point for the fixed transportation cost than what has been previously proposed in the literature. Subsequently, we examine a commonly encountered transportation scenario where the retailer has the opportunity to expand its fleet size by leasing trucks from the external market. The outcomes of the numerical example indicates that the flexibility resulting from the utilization of different types of trucks can lead to reduced overall costs. We also address the practical transportation problem of efficiently shipping various seasonal products solely with the retailer\'s own trucks. For this complex problem, we propose an optimal solution procedure based on Lagrangian method. We show that the joint replenishment of multiple products results in cost savings and enhances utilization of the trucks\' capacities.

OBJECTIVE: Excess weight, measured by a high body mass index (BMI), is associated with the onset of many diseases, which can, in turn, lead to disability and premature death, subsequently placing a significant burden on healthcare services. This study analysed the burden of disease and the direct costs to the Brazilian Unified Health System (Sistema Único de Saúde [SUS]) attributable to high BMI in the Brazilian population.
METHODS: Ecological study.
METHODS: This ecological study had two components: (1) a time-series assessment to analyse the burden of diseases attributable to high BMI from 1990 to 2019 in Brazil; and (2) a cross-sectional design to estimate the direct costs of SUS hospitalisations and outpatient procedures attributable to high BMI in 2019. Estimates from the Global Burden of Disease study and the costs of hospital admissions and outpatient procedures from the Department of Informatics of the Brazilian Unified Health System were used. Deaths, years of life lost to premature death (YLLs), years lived with disability (YLDs), and years of life lost adjusted for disability (DALYs) were analysed. The direct health cost was obtained in Brazilian Real (R$) and converted in international Dollars (INT$).
RESULTS: The current study found a reduction in the number of DALYs, YLLs, and deaths per 100,000 population of cardiovascular disease (CVD) attributable to high BMI and an increase in YLD due to diabetes and cardiovascular disease attributable to high BMI from 1990 to 2019. In 2019, high BMI resulted in 2404 DALYs, 658 YLDs, 1746 YLLs, and 76 deaths per 100,000 inhabitants. In the same year, INT$377.30 million was spent on hospitalisations and high- and medium-complexity procedures to control non-communicable diseases attributable to high BMI. The states in the South and Southeast regions of Brazil presented the highest total cost per 10,000 inhabitants. CVDs and chronic kidney disease showed the highest costs per hospital admission, whereas neoplasms and CVDs presented the highest costs for outpatient procedures.
CONCLUSIONS: High BMI causes significant disease burden and financial costs. The highest expenses observed were not in locations with the highest burden of disease attributable to high BMI. These findings highlight the need to improve current public policies and apply cost-effective intervention packages, focussing on equity and the promotion of healthier lifestyles to reduce overweight/obesity, especially in localities with low socioeconomic status.