Evidence map›Paper›PMID 28190188›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2018

The economic burden of diabetes to French national health insurance: a new cost-of-illness method based on a combined medicalized and incremental approach.

Grégoire de Lagasnerie, Anne-Sophie Aguadé, Pierre Denis, Anne Fagot-Campagna, Christelle Gastaldi-Menager

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
35.7field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Inequalities in oral anticoagulant treatment patterns: a two-part model to estimate healthcare costs associated with atrial fibrillation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Grégoire de LagasnerieStrategy and Research Department, National Health Insurance (CNAMTS), 50 Avenue du Pr André Lemierre, 75986, Paris Cedex 20, France.
Anne-Sophie AguadéStrategy and Research Department, National Health Insurance (CNAMTS), 50 Avenue du Pr André Lemierre, 75986, Paris Cedex 20, France.
Pierre DenisStrategy and Research Department, National Health Insurance (CNAMTS), 50 Avenue du Pr André Lemierre, 75986, Paris Cedex 20, France.
Anne Fagot-CampagnaStrategy and Research Department, National Health Insurance (CNAMTS), 50 Avenue du Pr André Lemierre, 75986, Paris Cedex 20, France.
Christelle Gastaldi-MenagerStrategy and Research Department, National Health Insurance (CNAMTS), 50 Avenue du Pr André Lemierre, 75986, Paris Cedex 20, France. christelle.gastaldi-menager@cnamts.fr.
l'Assurance Maladie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of the economic burden of diabetes constitutes a major public health challenge in order to design new ways to curb diabetes health care expenditure. The aim of this study was to develop a new cost-of-illness method in order to assess the specific and nonspecific costs of diabetes from a public payer perspective. Using medical and administrative data from the major French national health insurance system covering about 59 million individuals in 2012, we identified people with diabetes and then estimated the economic burden of diabetes. Various methods were used: (a) global cost of patients with diabetes, (b) cost of treatment directly related to diabetes (i.e., 'medicalized approach'), (c) incremental regression-based approach, (d) incremental matched-control approach, and (e) a novel combination of the 'medicalized approach' and the 'incremental matched-control' approach. We identified 3 million individuals with diabetes (5% of the population). The total expenditure of this population amounted to €19 billion, representing 15% of total expenditure reimbursed to the entire population. Of the total expenditure, €10 billion (52%) was considered to be attributable to diabetes care: €2.3 billion (23% of €10 billion) was directly attributable, and €7.7 billion was attributable to additional reimbursed expenditure indirectly related to diabetes (77%). Inpatient care represented the major part of the expenditure attributable to diabetes care (22%) together with drugs (20%) and medical auxiliaries (15%). Antidiabetic drugs represented an expenditure of about €1.1 billion, accounting for 49% of all diabetes-specific expenditure. This study shows the economic impact of the assumption concerning definition of costs on evaluation of the economic burden of diabetes. The proposed new cost-of-illness method provides specific insight for policy-makers to enhance diabetes management and assess the opportunity costs of diabetes complications' management programs.

Indexed as

Cost of IllnessNational Health ProgramsAgedDiabetes ComplicationsDiabetes MellitusFemaleHealth Care CostsHealth ExpendituresHumansMaleCost of illnessDiabetesEconometricsHealth administrative databases

Identifiers

PMID28190188
PMCPMC5813074
OpenAlexW2587524148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.