Evidence map›Paper›PMID 22690685›Full record

ArticlePharmacoEconomics2012

Cost of illness of cystic fibrosis in Germany: results from a large cystic fibrosis centre.

Mareike Heimeshoff, Helge Hollmeyer, Jonas Schreyögg, Oliver Tiemann, Doris Staab

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Health care costs in a randomized trial of antimicrobial duration among cystic fibrosis patients with pulmonary exacerbations.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2022
    Trial
  2. Estimation of care costs for individuals with cystic fibrosis at a referral center: cohort study, Salvador, 2005-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Reflections on the Importance of Cost of Illness Analysis in Rare Diseases: A Proposal.International journal of environmental research and public health · 2021
    Article
  8. Observational
  9. Article
  10. Cost-of-illness analysis and regression modeling in cystic fibrosis: a retrospective prevalence-based study.The European journal of health economics : HEPAC : health economics in prevention and care · 2017
    Article
  11. Social/economic costs and health-related quality of life in patients with cystic fibrosis in Europe.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    Article
  12. Article
  13. Cost of care for cystic fibrosis: an investigation of cost determinants using national registry data.The European journal of health economics : HEPAC : health economics in prevention and care · 2015
    Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mareike HeimeshoffInstitute for Health Care Management and Health Economics, Faculty of Economics and Business Administration, University of Hamburg, Germany. mareike.heimeshoff@wiso.uni-hamburg.de
Helge Hollmeyer
Jonas Schreyögg
Oliver Tiemann
Doris Staab

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic 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.

objectivesOur 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.

methodsResource 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Health Care CostsAdolescentAdultAmbulatory CareChildChild, PreschoolCystic FibrosisDrug CostsEconomics, PharmaceuticalFemaleGermanyHospitalizationHumansInfantInfant, NewbornMale

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.