[Algorithms based on medico-administrative data in the field of endocrine, nutritional and metabolic diseases, especially diabetes]. / Algorithmes basés sur les données médico-administratives dans le champ des maladies endocriniennes, nutritionnelles et métaboliques, et en particulier du diabète.

BACKGROUND: Medico-administrative databases represent a very interesting source of information in the field of endocrine, nutritional and metabolic diseases. The objective of this article is to describe the early works of the Redsiam working group in this field. METHODS: Algorithms developed in France in the field of diabetes, the treatment of dyslipidemia, precocious puberty, and bariatric surgery based on the National Inter-schema Information System on Health Insurance (SNIIRAM) data were identified and described. RESULTS: Three algorithms for identifying people with diabetes are available in France. These algorithms are based either on full insurance coverage for diabetes or on claims of diabetes treatments, or on the combination of these two methods associated with hospitalizations related to diabetes. Each of these algorithms has a different purpose, and the choice should depend on the goal of the study. Algorithms for identifying people treated for dyslipidemia or precocious puberty or who underwent bariatric surgery are also available. CONCLUSION: Early work from the Redsiam working group in the field of endocrine, nutritional and metabolic diseases produced an inventory of existing algorithms in France, linked with their goals, together with a presentation of their limitations and advantages, providing useful information for the scientific community. This work will continue with discussions about algorithms on the incidence of diabetes in children, thyroidectomy for thyroid nodules, hypothyroidism, hypoparathyroidism, and amyloidosis.

Impact of socio-economic position on health and quality of care in adults with Type 2 diabetes in France: the Entred 2007 study.

AIM: To describe the association between socio-economic position, health status and quality of diabetes care in people with Type 2 diabetes in France, where people may receive full healthcare coverage for chronic disease. METHODS: Data from a national cross-sectional survey performed in people pharmacologically treated for diabetes were used. They combined data from medical claims, hospital discharge, questionnaires for patients (n = 3894 with Type 2 diabetes) and their physicians (n = 2485). Socio-economic position was assessed using educational level (low, intermediate, high) and ability to make ends meet (financial difficulties vs. financially comfortable). RESULTS: People with diabetes reporting financial difficulties were more likely to be smokers (adjusted odds ratio 1.4; 95% CI 1.1-1.6) and obese (adjusted odds ratio 1.3; 95% CI 1.2-1.6) and to have poorer glycaemic control (HbA1c > 64 mmol/mol (8%); adjusted odds ratio 1.4; 95% CI 1.1-1.8), than those who were financially comfortable. They were more likely to have their diabetes diagnosed because of complications (adjusted odds ratio 1.6; 95% CI 1.3-2.0). They were also more likely to have coronary and podiatric complications (adjusted odds ratios 1.3; 95% CI 1.1-1.6 and 1.7; 95% CI 1.4-2.2, respectively). They benefited more often from full coverage (adjusted odds ratio 1.3; 95% CI 1.1-1.6), visited general practitioners more often (ratio of estimated marginal means 1.2; 95% CI 1.1-1.2) but specialists less often (adjusted odds ratio 0.7; 95% CI 0.6-0.8 for a visit to private ophthalmologist). They also felt less well informed about their condition. CONCLUSIONS: Despite frequent access to full healthcare coverage, socio-economic position has an impact on the diagnosis of diabetes, health status and quality of diabetes care in France.

Is the type 2 diabetes epidemic plateauing in France? A nationwide population-based study.

AIM: Nationwide data on the evolution of diabetes incidence and prevalence are scarce in France. For this reason, our objectives were to determine type 2 diabetes prevalence and incidence rates between 2010 and 2017, stratified by gender, age and region, and to assess annual time trends over the study period in adults aged≥45 years. METHODS: Diabetes cases in the National Health Data System (SNDS), which covers the entire French population (66 million people), were identified through a validated algorithm. Gender- and age-specific prevalence and incidence rates were estimated. Negative binomial models, adjusted for gender, age and region, were used to assess annual time trends for prevalence and incidence throughout the study period. RESULTS: During 2017, 3,144,225 diabetes cases aged≥45 years were identified. Over the study period, prevalence increased slightly (men from 11.5% to 12.1%, women from 7.9% to 8.4%) whereas incidence decreased (men from 11 to 9.7, women from 7.2 to 6.2 per 1000 person-years). In only four groups did prevalence rates decrease: men aged 45-65 years; women aged 45-60 years; women in Reunion; and women in Martinique. An increasing annual time trend was observed for prevalence (men: +0.9% [95% CI: +0.7%, +1%]; women: +0.4% [95% CI: +0.2%, +0.6%]) with a decreasing annual time trend for incidence in both genders (men: -2.6% [95% CI: -3.1%, -2.0%]; women: -3.9% [95% CI: -4.5%, -3.4%]). CONCLUSION: Further efforts towards diabetes prevention are required to ensure that incidence rates in France continue to diminish, as the disorder continues to represent an important public-health burden.

Type 2 diabetes prevalence, health status and quality of care among the North African immigrant population living in France.

AIM: This report is an overview of type 2 diabetes (DT2) in the North African immigrant population living in France. METHODS: Data were collected in two separate cross-sectional national surveys. DT2 prevalence was estimated using a population-based survey involving 13 959 people aged ≥ 45 years (EDS), while health status and quality of care were evaluated using a sample of 3894 DT2 patients (ENTRED). RESULTS: Prevalence of DT2 and obesity was 14.0% [CI 95%: 9.9; 18.0] and 20.5% [15.7; 25.3], respectively, in participants born in North Africa (BNA) and 7.5% [7.0; 8.0] and 15.8% [14.7; 16.8], respectively, in those born in France (BIF). DT2 was associated with region of birth in women after adjusting for age, body mass index and income or occupation, but not after adjusting for education level. In men, DT2 was not associated with region of birth. BNA and BIF patients with diabetes frequently benefited from free medical coverage (88% vs. 84%, respectively), although BNA diabetic patients visited a general practitioner less frequently than BIF (8.5 vs. 9.0 visits/year, respectively). The percentage of BNA vs. BIF diabetes patients tested three times a year for HbA1c was lower (39% vs. 44%), while HbA1c was higher in BNA vs. BIF diabetics (> 8%: 30% vs. 15%). Ophthalmological complications were also more frequent in BNA vs. BIF patients with diabetes (25% vs. 18%, respectively). CONCLUSION: The greater prevalence of DT2 in BNA women and the poorer glycaemic control observed in the BNA population overall both probably contribute to disparity in diabetes mortality compared with BIF diabetics, a fact that has been observed in previous studies.