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Cost of Illness of Cystic Fibrosis in Germany

Results from a Large Cystic Fibrosis Centre

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Abstract

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 €41468 (year 2004 values). Direct medical costs accounted for more than 90% of total costs and averaged €38 869 (€3876 to €88 096), whereas direct non-medical costs were minimal. Indirect costs amounted to €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 €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.

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Acknowledgements

This work was planned and written by Mareike Heimeshoff, Helge Hollmeyer, Jonas Schreyögg, Oliver Tiemann and Doris Staab, and the final version was approved by all the authors. There was no external funding for this study, and none of the authors have any potential conflicts of interests that are directly relevant to the content of this paper.

The conceptual work was mainly done by Jonas Schreyögg and Oliver Tiemann. Doris Staab and Helge Hollmeyer were responsible for the data collection process and provided all medical information. Helge Hollmeyer calculated part of the costs. Mareike Heimeshoff was responsible for the data analysis and for the preparation of a draft of the paper, which was supported by Jonas Schreyögg and Oliver Tiemann. Results were interpreted and written by all authors. The guarantor for the overall content of this paper is Mareike Heimeshoff.

The authors would like to thank the Munich Center of Health Sciences, based at Ludwig-Maximilians University of Munich, for their support.

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Heimeshoff, M., Hollmeyer, H., Schreyögg, J. et al. Cost of Illness of Cystic Fibrosis in Germany. PharmacoEconomics 30, 763–777 (2012). https://doi.org/10.2165/11588870-000000000-00000

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