Prevalence of chronic kidney disease in France: methodological considerations and pitfalls with the use of Health claims databases.

Background: Health policy-making require careful assessment of chronic kidney disease (CKD) epidemiology to develop efficient and cost-effective care strategies. The aim of the present study was to use the RENALGO-EXPERT algorithm to estimate the global prevalence of CKD in France. Methods: An expert group developed the RENALGO-EXPERT algorithm based on healthcare consumption. This algorithm has been applied to the French National Health claims database (SNDS), where no biological test findings are available to estimate a national CKD prevalence for the years 2018-2021. The CONSTANCES cohort (+219 000 adults aged 18-69 with one CKD-EPI eGFR) was used to discuss the limit of using health claims data. Results: Between 2018 and 2021, the estimated prevalence in the SNDS increased from 8.1% to 10.5%. The RENALGO-EXPERT algorithm identified 4.5% of the volunteers in the CONSTANCES as CKD. The RENALGO-EXPERT algorithm had a positive predictive value of 6.2% and negative predictive value of 99.1% to detect an eGFR<60 ml/min/1.73 m². Half of 252 false positive cases (ALGO+, eGFR > 90) had been diagnosed with kidney disease during hospitalization, and the other half based on healthcare consumption suggestive of a 'high-risk' profile; 95% of the 1661 false negatives (ALGO-, eGFR < 60) had an eGFR between 45 and 60 ml/min, half had medication and two-thirds had biological exams possibly linked to CKD. Half of them had a hospital stay during the period but none had a diagnosis of kidney disease. Conclusions: Our result is in accordance with other estimations of CKD prevalence in the general population. Analysis of diverging cases (FP and FN) suggests using health claims data have inherent limitations. Such an algorithm can identify patients whose care pathway is close to the usual and specific CKD pathways. It does not identify patients who have not been diagnosed or whose care is inappropriate or at early stage with stable GFR.

Prevalence and disparities in influenza vaccination among patients with COPD: A French nationwide population study.

INTRODUCTION: Despite concordant international recommendations, many surveys found disappointing rates of influenza vaccination in at-risk populations, ranging from 23% in overall COPD population to more than 70% in more severe COPD subjects. Therefore, we assessed the proportion of French COPD patients non-vaccinated for influenza and their clinical and socio-demographic factors. MATERIEL AND METHODS: This was a national retrospective study based on the French health insurance database. We identified "diagnosed COPD", defined as subjects hospitalized at least once in 2017 with a principal or associated diagnosis of COPD, and "suspected COPD" as those who were prescribed at least thrice long-acting bronchodilators (LAB), after exclusion of patients with a principal diagnosis or secondary associated diagnosis of asthma or cystic fibrosis, patients deceased before the influenza season and patients hospitalized in long-term or in palliative care unit. Multivariate logistic regression was used to assess the association between patients' characteristics and the lack of influenza vaccination. RESULTS: From the national database, 1 474 396 subjects were identified as "suspected COPD" of whom 528 114 were excluded because of previous diagnosis of asthma or cystic fibrosis, and 350 566 as "diagnosed COPD". Among the 1 296 848 patients included, 646 687 patients (53.3%) were vaccinated against influenza. Non-vaccinated subjects were significantly younger (62.1 vs 71.6 years old), more often women (47.9% vs 43.1%) and had fewer comorbidities assessed by Charlson's index (3.0 ± 2.2 vs 4.3 ± 2.1). Lack of vaccination was also associated with a lower LAB usage. Also, non-vaccinated subjects neither had severe exacerbation during the study period. Besides there was a significant heterogeneity in vaccination rate by geographic region, from 47% to 57%. In multivariate analysis, variables independently associated with the lack of influenza vaccination were female gender, younger age, fewer comorbidities and lower socio-economic level. CONCLUSIONS: This study using the French exhaustive health insurance database shows that influenza vaccination among COPD patients remains dramatically low and must become a high-priority public-health strategy.

Monitoring Breast Cancer Care Quality at National and Local Level Using the French National Cancer Cohort.

PURPOSE: The French National Cancer Institute has developed, in partnership with the French National Authority for Health, breast cancer-specific Care Quality, and Safety Indicators (BC QIs). With regard to the most common form of cancer, our aim is to support local and national quality initiatives, to improve BC pathways and outcomes, reduce heterogeneity of practice and regional inequities. In this study, we measure the BC QIs available in the French National medico-administrative cancer database, the French Cancer Cohort, for 2018. MATERIALS AND METHODS: BC QIs are developed according to the RAND method. QIs are based on good clinical practice and care pathway recommendations. QI computation should be automatable without any additional workload for data collection. They will be published annually for all stakeholders, and especially hospitals. RESULTS: Finally, ten feasible and pertinent QIs were selected. In France, BC care was found to be close to compliance with most QIs: proportion of patients undergoing biopsy prior to first treatment (94.5%), proportion of patients undergoing adjuvant radiotherapy after breast-conserving surgery for BC (94.5%), proportion of women undergoing radiotherapy within 12 weeks after surgery and without chemotherapy (86.2%), proportion of DCIS patients undergoing immediate breast reconstruction (54.3%) and proportion of women with NMIBC undergoing breast reintervention (14.4%). However, some are still far from their recommended rate. In particular, some QIs vary considerably from one region, or one patient, to another. CONCLUSION: Each result needs to be analyzed locally to find care quality leverage. This will strengthen transparency actions aimed at the public.