Evidence map›Paper›PMID 25106736›Full record

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.

Yuanyuan Gu, Sonia García-Pérez, John Massie, Kees van Gool

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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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
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

4 authors at 4 institutions in 2 countries.

Yuanyuan GuCentre for Health Economics, Monash University, Level 2, Building 75, Clayton, Melbourne, VIC, 3800, Australia, yuanyuan.gu@monash.edu.
Sonia García-Pérez
John Massie
Kees van Gool
Australian Regenerative Medicine Institute · AUCentro de Investigación Biomédica en Red · ESMurdoch Children's Research Institute · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Care CostsAdultAge FactorsAustraliaBacterial InfectionsChronic DiseaseComputer SimulationCystic FibrosisFemaleForced Expiratory VolumeHospitalizationHumansMaleMethicillin-Resistant Staphylococcus aureusRegistriesRegression Analysis

Identifiers

PMID25106736
OpenAlexW2037678691

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.