ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2015
Cost of care for cystic fibrosis: an investigation of cost determinants using national registry data.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 21 citations in OpenAlex.
- Factors associated with frequent high-cost individuals with cystic fibrosis and their healthcare utilization and cost patterns.Scientific reports · 2023Article
- Evaluation of Food Insecurity in Adults and Children With Cystic Fibrosis: Community Case Study.Frontiers in public health · 2018Article
- Estimating Direct Cost of Cystic Fibrosis Care Using Irish Registry Healthcare Resource Utilisation Data, 2008-2012.PharmacoEconomics · 2017Article
- Economic Evaluation of Tobramycin Inhalation Powder for the Treatment of Chronic Pulmonary Pseudomonas aeruginosa Infection in Patients with Cystic Fibrosis.Clinical drug investigation · 2017Article
- 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 · 2017Article
- Social and economic costs and health-related quality of life in non-institutionalised patients with cystic fibrosis in the United Kingdom.BMC health services research · 2015Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cystic fibrosis (CF) is a progressive disease with treatments intensifying as patients get older and severity worsens. To inform policy makers about the cost burden in CF, it is crucial to understand what factors influence the costs and how they affect the costs. Based on 1,060 observations (from 731 patients) obtained from the Australian Data Registry, individual annual health care costs were calculated and a regression analysis was carried out to examine the impact of multiple variables on the costs. A method of retransformation and a hypothetical patient were used for cost analysis. We show that an additional one unit improvement of FEV1pp (i.e., forced expiratory volume in 1 s as a percentage of predicted volume) reduces the costs by 1.4%, or for a hypothetical patient whose FEV1pp is 73 the cost reduction is A$252. The presence of chronic infections increases the costs by 69.9-163.5% (A$12,852-A$30,047 for the hypothetical patient) depending on the type of infection. The type of CF genetic mutation and the patient's age both have significant effects on the costs. In particular, being homozygous for p.F508del increases the costs by 26.8% compared to all the other gene mutations. We conclude that bacterial infections have a very strong influence on the costs, so reducing both the infection rates and the severity of the condition may lead to substantial cost savings. We also suggest that the patient's genetic profile should be considered as an important cost determinant.
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