This study was a retrospective analysis of a sample of patients with T2DM documented in a French national prescription claims database [Échantillon Généraliste de Bénéficiaires, (EGB)] performed in 2014. The study included a cross-sectional phase to document initiation of insulin therapy, and a longitudinal phase to document treatment persistence.
Data Source
The EGB database [18] represents a 1/97 random sample of individuals selected from all beneficiaries of the three main public health insurance funds and provides data of around 600,000 individuals representative of the French population. The sample of the general population is renewed every 3 months, is anonymous and is representative of healthcare expenditure at the national level. The EGB database is updated every month. All information in the database is anonymous.
The insurance funds contributing to the EGB are the Caisse Nationale d’Assurance Maladie des Travailleurs Salariés (CNAMTS), the Mutualité Sociale Agricole (MSA) and the Régime Social des Indépendants (RSI). The CNAMTS is the French health insurance fund for salaried workers, which includes all salaried workers and their relatives and covers 77% of the French population in 2011 (almost 50 million people). The MSA covers agricultural workers and the RSI self-employed people. Individuals remain covered by the same fund if they stop working for any reason, including retirement, unemployment, invalidity or long-term sick leave. If nearly all the population is covered with insurance funds in France, 87% of the population covered is considered in the EGB, as the information system is different for some population sub-groups mainly government workers and students.
This database contains comprehensive reimbursement records of all items of community and hospital healthcare consumption in the public or private sectors eligible for reimbursement by public health insurance. All eligible medical expenditure reimbursed for a given individual is linked through a unique patient identifier. Documented expenditure includes hospitalisations [identified by diagnosis-related group (DRG)], consultations, paraclinical tests, medical devices, medical procedures, medication [identified by Anatomical Therapeutic Chemical classification (ATC)], auxiliary care (for example, nursing care and physiotherapy) and healthcare transport. For each prescribed or reimbursed service, the date of implementation is specified, together with the date of prescription and the healthcare provider. No explicit information is provided for the reason for which the service was prescribed, for example, the diagnosis. No sociodemographic information is available, with the exception of age and gender. Items which are not eligible for reimbursement, such as over-the-counter drugs, are not documented in the database and cannot be identified. In addition, information on inpatient rehabilitation is not available.
The only types of data in the EGB database associated with an explicit diagnosis are hospitalization and eligibility for full insurance coverage due to a severe chronic disease (Long-standing condition status). In the case of hospitalisations, the diagnosis can be identified since each hospital stay is valued on the basis of a unique DRG which is coded using the international classification of disease (ICD-10) codes [19]. The reasons for hospitalization are coded either as primary diagnoses (PD; the condition for which the patient was hospitalized), related diagnoses (RD; any underlying condition which may have been related to the PD) or as associated diagnoses (AD; comorbidities which may affect the course or cost of hospitalization). In the case of long-standing condition status, eligible diseases are identified on a restrictive list established by the CNAMTS which specifies the equivalent ICD-10 disease code.
Study Periods
For the description of initiation of insulin therapy, all new insulin prescriptions documented in the EGB database between January 2012 and December 2013 were considered. A new insulin prescription was defined as an index insulin prescription during the reporting period with no such prescription in the 12 months preceding the index prescription. For the description of treatment persistence, all new index insulin prescriptions documented in the EGB database between January 2011 and December 2012 were considered and insulin prescription followed longitudinally until December 2013.
Selection of the Study Patients
The study aimed to identify all patients with diabetes and treated with insulin documented in the EGB database during the study period. In a first step, these patients were identified by three prescription claims for antidiabetic medication (including insulin products; two when large packaging was used) within two consecutive years. Only adult patients ≥18 years of age were included. A decision tree was used to distinguish patients with T1DM from those with T2DM [20] (Fig. 1). This was based on the identification of hospitalizations with diabetes as an identified diagnosis (PD, RD or AD), the identification of long-standing condition status for diabetes through the associated ICD-10 code (E10 for T1DM and E11 for T2DM), as well as insulin treatment history.
For the purposes of this study, only patients with T2DM (as defined by the decision tree) and starting insulin therapy (index insulin prescription) during the two study periods described above were retained for analysis.
Patients fulfilling the selection criteria were divided into three groups: patients delivered basal insulins only, patients delivered basal and rapid acting insulins, and patients under other insulin treatment regimens.
Data Collection
For each participant, data were retrieved from the EGB database relating to the age and gender of the patient, antidiabetic medication prescribed during the study period and during the year preceding initiation of insulin treatment and the type of physician prescribing insulin.
Longitudinal data on prescription of antidiabetic medication was retrieved covering the period between the initial insulin prescription and the end of the study period (December 31, 2013). Discontinuation of insulin treatment was defined as the absence of reimbursement for insulin over a period of 6 months or 1 year after the initiation index date.
Patients potentially eligible for a short-term transient insulin therapy were identified as patients with an hospital admission for a traumatological (ICD-10 disease classes S00-T98), infectious (ICD-10 disease classes A00-B99) or cardiovascular (ICD-10 disease classes I00-I99) disorder in the 3 months preceding initiation of insulin therapy or patients treated with corticosteroids (ATC class H02AB) or antibiotics (ATC classes A0A, J01, J02, J04 or J05) within 7 days of the initiation of insulin therapy.
Statistical Analysis
Baseline data at initiation of insulin therapy are presented as mean values with standard deviations and median values with range for continuous variables and as frequency counts and percentages for categorical variables. Missing data were not replaced and were excluded from the descriptive analyses. Continuous variables were compared between the three insulin treatment groups using Student’s t test and categorical variables using the χ
2 test. Data on treatment persistence was analyzed using Kaplan–Meier survival analysis. A sensitivity analysis was performed in which patients having potentially received short-term transient insulin therapy were excluded. Patients who left the database, for example, those who died were censored. However, detailed results excluding patients who died during the study period were also provided.
All statistical tests were two-sided and a probability threshold of 0.05 was taken as statistically significant. Data analysis was performed using SAS® V9.3 software (SAS Institute; North Carolina, Unites States).
Compliance with Ethics Guidelines
This article is based on previously conducted studies and does not involve any new studies of human or animal subjects performed by any of the authors. Access to the EGB database has been authorized for INSERM Unit U1018-UVSQ.