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Background: Cystic fibrosis (CF) is a genetic disorder that is most common in white children and young adults. Long-term survival has improved steadily and will likely increase with the recent introduction of neonatal screening and causative treatment. However, these advances have substantial economic consequences for healthcare systems and payers., Objective: This study aims to determine the economic burden of CF and to elucidate the structure of costs and the distribution of resources for different subpopulations, treatment strategies and sites of care for CF in Germany., Methods: We conducted an observational cohort study to evaluate the economic burden of CF and the costs of treatment within different CF substrata from a payer perspective. Using claims data from a large German sickness fund, we identify the causal effect of CF on costs, service utilisation, and premature mortality. We compare the outcomes of a CF and a control group using entropy balancing and regression techniques, conduct further analyses for the CF group to gain insight into the economic burden associated with different levels of disease severity, and analyse pharmaceutical expenditures by collecting all CF-related expenses on outpatient drug treatment from the sickness fund database., Results: Direct medical costs caused by CF in Germany in 2016 average €17,551 per patient-year and appear to be mainly driven by the cost of outpatient drug prescriptions (€12,869). We estimate that the national burden of disease totals €159 million. Costs increase with disease severity and related complications. If all eligible CF patients in the German population were to receive CF mutation-specific drugs, the economic burden of disease would more than triple to €594 million., Conclusion: CF has a constant and wide-ranging economic impact on payers, with considerable differences in the distribution of costs and service utilisation between younger and older patients as well as mild vs. severe patients. Pharmaceutical expenses will increase in the future as causative treatment gains importance. We encourage the use of a control group approach for burden-of-disease studies to be able to identify causal effects and thus to obtain more precise estimates.

Importance: Differences in utilization and costs of end-of-life care among developed countries are of considerable policy interest., Objective: To compare site of death, health care utilization, and hospital expenditures in 7 countries: Belgium, Canada, England, Germany, the Netherlands, Norway, and the United States., Design, Setting, and Participants: Retrospective cohort study using administrative and registry data from 2010. Participants were decedents older than 65 years who died with cancer. Secondary analyses included decedents of any age, decedents older than 65 years with lung cancer, and decedents older than 65 years in the United States and Germany from 2012., Main Outcomes and Measures: Deaths in acute care hospitals, 3 inpatient measures (hospitalizations in acute care hospitals, admissions to intensive care units, and emergency department visits), 1 outpatient measure (chemotherapy episodes), and hospital expenditures paid by insurers (commercial or governmental) during the 180-day and 30-day periods before death. Expenditures were derived from country-specific methods for costing inpatient services., Results: The United States (cohort of decedents aged >65 years, N = 211,816) and the Netherlands (N = 7216) had the lowest proportion of decedents die in acute care hospitals (22.2.% and 29.4%, respectively). A higher proportion of decedents died in acute care hospitals in Belgium (N = 21,054; 51.2%), Canada (N = 20,818; 52.1%), England (N = 97,099; 41.7%), Germany (N = 24,434; 38.3%), and Norway (N = 6636; 44.7%). In the last 180 days of life, 40.3% of US decedents had an intensive care unit admission compared with less than 18% in other reporting nations. In the last 180 days of life, mean per capita hospital expenditures were higher in Canada (US $21,840), Norway (US $19,783), and the United States (US $18,500), intermediate in Germany (US $16,221) and Belgium (US $15,699), and lower in the Netherlands (US $10,936) and England (US $9342). Secondary analyses showed similar results., Conclusions and Relevance: Among patients older than 65 years who died with cancer in 7 developed countries in 2010, end-of-life care was more hospital-centric in Belgium, Canada, England, Germany, and Norway than in the Netherlands or the United States. Hospital expenditures near the end of life were higher in the United States, Norway, and Canada, intermediate in Germany and Belgium, and lower in the Netherlands and England. However, intensive care unit admissions were more than twice as common in the United States as in other countries.

Background: Cystic fibrosis (CF) is the most common life-shortening genetic disorder among Whites worldwide. Because many of these patients experience chronic endobronchial colonization and have to take antibiotics and be treated as inpatients, societal costs of CF may be high. As the disease severity varies considerably among patients, costs may differ between patients., Objectives: Our objectives were to calculate the average total costs of CF per patient and per year from a societal perspective; to include all direct medical and non-medical costs as well as indirect costs; to identify the main cost drivers; to investigate whether patients with CF can be grouped into homogenous cost groups; and to determine the influence of specific factors on different cost categories., Methods: Resource utilization data were collected for 87 patients admitted to an inpatient unit at a CF treatment centre during the first 6 months of 2004 and 125 patients who visited the centre's CF outpatient unit during the entire year. Fifty-four patients were admitted to the hospital and also visited the outpatient unit. Since all patients were exclusively treated at the centre, data could be aggregated. Costs that varied greatly between patients were measured per patient. The remaining costs were summarized as overhead costs and allocated on the basis of days of treatment or contacts per patient. Costs of the outpatient and inpatient units and costs for drugs patients received at the outpatient pharmacy were summarized as direct medical costs. Direct non-medical costs (i.e. travel expenses), as well as indirect costs (i. e. absence from work, productivity losses), were also included in the analysis. Main cost drivers were detected by the analysis of different cost categories. Patients were classified according to a diagnosis-related severity model, and median comparison tests (Wilcoxon-Mann-Whitney tests) were performed to investigate differences between the severity groups. Generalized least squares (GLS) regressions were used to identify variables influencing different cost categories. A sensitivity analysis using Monte Carlo simulation was performed., Results: The mean total cost per patient per year was &U20AC;41 468 (year 2004 values). Direct medical costs accounted for more than 90% of total costs and averaged &U20AC;38 869 (&U20AC;3876 to &U20AC;88 096), whereas direct non-medical costs were minimal. Indirect costs amounted to &U20AC;2491 (6% of total costs). Costs for drugs patients received at the outpatient pharmacy were the main cost driver. Costs rose with the degree of severity. Patients with moderate and severe disease had significantly higher direct costs than the relatively milder group. Regression analysis revealed that direct costs were mainly affected by the diagnosis-related severity level and the expiratory volume; the coefficient indicating the relationship between costs for mild CF patients and other patients rose with the degree of severity. A similar result was obtained for drug costs per patient as the dependent variable. Monte Carlo simulation suggests that there is a 90% probability that annual costs will be lower than &U20AC;37 300., Conclusions: The share of indirect costs as a percentage of total costs for CF was rather low in this study. However, the relevance of indirect costs is likely to increase in the future as the life expectancy of CF patients increases, which is likely to lead to a rising work disability rate and thus increase indirect costs. Moreover we found that infection with Pseudomonas aeruginosa increases costs substantially. Thus, a decrease of the prevalence of P. aeruginosa would lead to substantial savings for society.

Although the quality of administrative data of German health insurance is relatively good, administrative data are rarely used for the purpose of health economic evaluations in Germany. Health economic evaluations in Germany have so far mainly been performed based on primary data while in other countries the use of secondary data is quite common. The objective of the article is to give an introduction into the possibilities of performing health economic evaluations based on administrative data. First, we show that German health insurance have data sets that allow the follow-up of patients across all sectors of health care. Subsequently, characteristics of primary data and administrative data of health insurance for the purpose of health economic evaluations are compared. Finally we present an overview of recently performed health economic evaluations based on administrative data in Germany and conclude with lessons from other countries on the use of administrative data and implications for Germany.

International comparisons of healthcare costs are growing in importance for a number of different applications. The use of common approaches to converting costs such as GDP purchasing power parities (PPPs) often does not reflect price differences in healthcare in an appropriate manner. This means that new approaches need to be explored. The objective of this paper is to demonstrate the feasibility of using episode-specific PPPs (ESPPPs) to facilitate cross-country comparisons of healthcare costs and to compare this approach with other common approaches to conversion. Costs for five care episodes from hospitals in eight European countries were obtained from the EU HealthBASKET project. ESPPPs were created by using Fisher-type PPPs in combination with the Eltetö-Köves-Szulc method at the episode level. Differences in ESPPPs among the five care episodes were discussed and compared with other common conversion approaches. We found that ESPPPs-reflected prices and resource use more accurately than conventional conversion approaches such as GDP PPPs and medical care PPPs. This was particularly evident for labour-intensive care episodes in which other conversion approaches revealed problems in the way that labour input had not been considered appropriately. The results demonstrate that ESPPPs are preferable to other common conversion approaches when international healthcare cost comparisons are performed., (Copyright 2008 John Wiley & Sons, Ltd.)

Objective: To calculate per-case hospital costs for patients with cystic fibrosis under routine conditions from a healthcare provider's perspective; identify the impact of different cost categories; investigate whether cases with cystic fibrosis can be grouped into homogenous cost groups according to defined severity levels; and determine the value of specific factors as predictors of hospital cost variations., Methods: All data were collected from cases (n = 131) admitted to an inpatient cystic fibrosis unit under routine conditions during a period of 6 months in 2004. All costs were calculated for the year 2004 and divided into categories with high and low impact on variation in hospitalisation costs between patients. Staff costs for patient care, laboratory costs and drug costs were defined as categories with high impact, thus the individual resource utilisation for each case was measured. Cost categories that were classified as having a low impact were measured as overhead costs. Cases were classified according to two different severity models; within each model, patients were classified according to three severity levels. The diagnosis-related model classifies patients with pulmonary hypertension and global respiratory insufficiency as having severe disease, patients with Pseudomonas aeruginosa as having moderate disease, and patients with no colonisation of the lungs as having mild disease. The lung-function-related model differentiates patients as having mild, moderate and severe disease when patients have forced expiratory volumes in 1 second (FEV(1)) that are > or =70%, between > or =40% and <70%, and <40%, respectively. Analysis of variance tests were performed to investigate the differences of mean costs between the groups. Ordinary least squares regression analysis was used to determine predictors for cost variation., Results: The mean total costs per case were 7326 euro. Almost one-third of the total mean costs were attributable to drug costs (28% of total costs), while shares of staff costs for patient care and laboratory costs (both 9% of total costs) were relatively small. Most of the difference in costs between severity levels was attributable to the variation in overhead costs and drug costs. For both severity models differences in mean total costs of mild and severe cases were statistically significant (p < 0.01 and p < 0.05, respectively) when compared with the mean costs of non-mild and non-severe cases. However, in moderate cases, significant differences compared with cases that were not of moderate severity were only seen for certain cost categories. In the multiple regression model the variables 'diagnosis-related severity' and 'FEV(1)' explained 31% of the variance of 'Ln (total costs per case)' between severity levels (p < or = 0.01)., Conclusion: This study shows that to a large extent hospitalisation costs for patients with cystic fibrosis vary according to the severity of their disease; drug costs play a major role in these differences. In the light of this variation it seems plausible to create separate reimbursement rates for two or three severity groups. Diagnoses as well as FEV(1) seem suitable criteria for such a classification.

Objectives: The purpose of this study is to assess the cost-effectiveness (net costs per life year gained) of telemedical devices for pre-clinical traffic accident emergency rescue in Germany., Methods: Two equipment versions of a telemedical device are compared from a societal perspective with the baseline in Germany, i.e. the non-application of telemedicine in emergency rescues. The analysis is based on retrospective statistical data covering a period of 10 years with discounted costs not adjusted for inflation. Due to the uncertainty of data, certain assumptions and estimates were necessary. The outcome is measured in terms of "life years gained" by reducing therapy-free intervals and improvements in first-aid provided by laypersons., Results: The introduction of the basic equipment version, "Automatic Accident Alert", is associated with net costs per life year gained of euro 247,977 (at baseline assumptions). The full equipment version of the telemedical device would lead to estimated net costs of euro 239,524 per life year gained. Multi-way sensitivity-analysis with best and worst case scenarios suggests that decreasing system costs would disproportionately reduce total costs, and that rapid market penetration would largely increase the system's benefit, while simultaneously reducing costs., Conclusion: The net costs per life year gained in the application of the two versions of the telemedical device for pre-clinical emergency rescue of traffic accidents are estimated as quite high. However, the implementation of the device as part of a larger European co-ordinated initiative is more realistic.