A retrospective analysis was conducted using prescription claims data from the SNDS (Système National de Données de Santé), a French administrative healthcare database covering 99% of the French population (66 million inhabitants, 3.5 million with diabetes). Patients who had initiated basal insulin therapy ± OAD or GLP-1 RA from January 2016 to December 2017 were included in order to document treatment persistence without discontinuation.
The SNDS is the main French prescription claims database and includes information from other systems, such as the national hospital discharge database (PMSI). It is one of the largest health databases in the world, with data on more than 1.2 billion reimbursed care entries, 500 million medical procedures and 11 million hospital stays per year. The SNDS database contains data on all reimbursed healthcare expenditure (inpatient, outpatient and cash payments) for the entire population living in France. It also includes sociodemographic, medical and administrative data on these beneficiaries (age, gender, diagnoses of long-term diseases eligible for 100% reimbursement, diagnoses reported during hospitalizations, town of residence, date of death) [18]. This study was authorized through two French legal Ethic Committees: Expertise Committee for Research, Studies and Evaluations in the field of Health (CEREES Dossier TPS 37634bis, approval on 12 April 2018) and the National Commission for Data Protection and Liberties (CNIL-France No. 918140 approval on 31 July 2020). Informed consent was not required due to the retrospective anonymized nature of this study.
Population
An algorithm was used to qualify a patient as having diabetes if and only if this patient had received at least three reimbursements for antidiabetic drugs (oral or insulin) in 2015 (at least two reimbursements if at least one large pack size was dispensed) or in 2016, or when this patient had been hospitalized at least once with a diagnostic (International Classification of Diseases, Tenth Revision [ICD-10]) code: E10 [Type 1 diabetes mellitus (T1DM); E11 (T2DM) or E14 (Unspecified diabetes)]. A decision algorithm described by Charbonnel et al. [19] was then used to distinguish people with T2DM from those with T1DM. This algorithm was based on the ICD-10 codes associated with long-standing condition status or with hospitalizations reported as the primary or related diagnosis, and on the prescription of insulin.
Eligible participants were aged ≥ 18 years, had a diagnosis of T2DM and had initiated a basal insulin therapy during the period 2016–2017.
Persistence
A first initiation of basal insulin (Gla-300, Gla-100 and IDet) was defined as the index date without any prescription of insulin 1 year prior to the index date. Persistence was defined as remaining on any basal insulin or on the same insulin without discontinuation from the index date to the last prescription and was reported in months. A therapy was deemed discontinued when it was interrupted for a period of 6 months.
Biosimilar Gla-100 and Gla-300 were marketed in the course of 2016; thus, the length of time during which treatment persistence was assessed was not identical for all basal insulins, but this variation was adjusted for in the survival analysis. Duration of treatment before intensification was also conducted in the basal insulin-only group ± OAD or glucagon-like peptide-1 receptor agonist (GLP-1 RA). Treatment intensification was defined as any addition of a non-basal insulin or a GLP-1 RA to the treatment regimen, if not present at the time or within 3 months of the initiation of insulin treatment.
Changes in doses were not considered in this analysis. Discontinuation of basal insulin was further investigated to ascertain if this was followed by a prescription for other types of insulins.
Persistence data, in the basal insulin-only group, were assessed using a Kaplan–Meier survival analysis. Events were censored at the end of the observation period or with death of the patient. Survival curves were compared using adjusted Cox models or the log-rank test and non-parametric tests. Adjusted variables were age, gender, diabetes history, geographical area, health insurance coverage, insulin scheme and Charlson Comorbidity Index.
Severe Hypoglycemia
Hospitalizations for severe hypoglycemia and associated diagnoses in the study population were identified with ICD-10 codes: E160 (Drug-induced hypoglycemia without coma), E161 (Other hypoglycemia), E162 (Hypoglycemia, unspecified) and T383 (Poisoning by, adverse effect of, and underdosing of insulin and OADs). In a secondary analysis, ICD-10 codes related to diabetic comas were also considered, given that these conditions in France are often the consequence of hypoglycemia: E110 (T2DM with coma) and E140 (Unspecified diabetes mellitus with coma). Several hospitalizations for hypoglycemia events could be recorded for the same patient. This analysis was completed using data on the frequency of Emergency Room (ER) visits whatever the reason and regardless of the insulin group.
Unadjusted and adjusted analysis were conducted to compare differences between insulins. Adjusted variables were age, gender, diabetes history, geographical area, health insurance coverage, insulin scheme and Charlson Comorbidity Index.
Statistical Analysis
Data were analyzed using SAS® V9.3 software (SAS Institute; Cary, NC, USA). Statistical significance was defined as p < 0.05.