Skip to main content
Erschienen in: BMC Endocrine Disorders 1/2013

Open Access 01.12.2013 | Research article

Impact of therapy escalation on ambulatory care costs among patients with type 2 diabetes in France

verfasst von: Florent Guelfucci, Emilie Clay, Samuel Aballéa, Régis Lassalle, Nicholas Moore, Mondher Toumi

Erschienen in: BMC Endocrine Disorders | Ausgabe 1/2013

Abstract

Background

This study compares annual ambulatory care expenditures per patient with type 2 diabetes mellitus (T2DM) in France according to treatment phase and renal function status.

Methods

Records from patients with T2DM were extracted from a health insurance database. Patients were classified in subgroups, by treatment phase: oral/GLP1 monotherapy, double therapy, triple therapy or insulin therapy, and according to renal function status (identified using pharmacy, lab and consultation claims). Annual ambulatory expenditures were estimated from the national insurance perspective by year (from 2005 to 2010) and subgroup.

Results

The number of patients ranged from 9,682 to 11,772 between 2005 and 2010. The average annual expenditure per individual in 2010 ranged from €3,017 (standard deviation: €3,829) for monotherapy to €3,609 ± €3,801 for triple therapy, and €7,398 ± €5,487 with insulin (adjusted ratio insulin therapy/monotherapy: 2.36, p < 0.001). Similar differences between treatement stages were found in previous years. Additional costs for insulin were mainly related to nursing care (multiplied by 18.42, p < 0.001), medical devices and pharmacy costs. DM-attributable drug costs were mainly related to antidiabetic drugs (28% for monotherapy to 71% for triple therapy), but also to cardiovascular system drugs (21% for monotherapy to 51% with insulin) and nervous system drugs (up to 8% with insulin). Declining renal function was associated with an increase in expenses by 12% to 53% according to treatment stage.

Conclusions

Overall, ambulatory care expenditures increase with treatment escalation and declining renal function amongst patients with T2DM. Insulin therapy is associated with substantially increased costs, related to pharmacy, nursing care and medical device costs.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1472-6823-13-15) contains supplementary material, which is available to authorized users.
Florent Guelfucci, Emilie Clay contributed equally to this work.

Competing interests

Duality of interest: The Department of Pharmacology at Bordeaux University does studies of drug effectiveness and risks in real-life use with various study designs. Studies are done at the request of the regulatory authorities, or for their attention. Most of these studies are funded by pharmaceutical companies, including most manufacturers of insulin and other glucose-lowering products.

Authors’ contributions

FG participated in the design of the study, supervised the analysis, interpreted the data and drafted the manuscript. EC participated in the design of the study, performed the data management and the statistical analysis and contribute in the interpretation of the data. SA participated in the design of the study, contributed in the interpretation of data and to drafting the manuscript. RG participated in the design of the study, contributed in the interpretation of data and revised the manuscript critically for important intellectual content. NM participated in the conception of the study, revised the manuscript critically for important intellectual content and gave final approval of the version to be published. MT participated in the conception of the study, revised the manuscript critically for important intellectual content and gave final approval of the version to be published. All authors read and approved the final manuscript.
Abkürzungen
ACE-I
Angiotensin converting enzyme inhibitors
ALD
Affections longues durées (long term conditions)
A2RA
Angiotensin II receptor antagonists
CMU
Couverture mutuelle universelle (“basic” universal health cover)
CRD
Chronic renal disease
DPP4
Dipeptidyl peptidase-4 inhibitors
DRF
Declining renal function
DT
Double therapy
EGB
Echantillon generaliste de beneficiaires (general sample of beneficiaries)
ENTRED
Echantillon national témoin représentatif des personnes diabétiques
GLP-1
Glucagon-like peptide-1
HAS
haute autorité de Santé (the French national authority for health)
IT
Insulin therapy
OADs
Oral antiDiabetics
MT
Monotherapy
T2DM
Type 2 diabetes mellitus
TT
Triple therapy.

Background

With the increasing prevalence of treated type 2 diabetes mellitus (T2DM) in France, from 2.6% to 4.4% among people covered by the national health insurance scheme between 2000 and 2009 [1], costs related to diabetes increased from 7.1 billion € in 2001 to 12.5 billion in 2007 [2]. These expenditures represented approximately 8.5% of the National Objective of Healthcare Expenditure (144.8 billion € in 2007).
As an ever-increasing portion of gross domestic product is spent on health care, economic considerations are given increasing importance in the development of treatment guidelines and drug reimbursement decisions. This is illustrated in France by the recent introduction of health economic guidelines by the Haute Autorité de Santé (HAS). The HAS published recommendations for the management of T2DM in France in 2006 [3]. Therapeutic escalation was recommended to maintain glycemic control with an HbA1c < 48 mmol/mol (6.5%) from monotherapy with an oral antidiabetic (Metformine), to oral double therapy, then to triple therapy or insulin therapy. Since the publication of these recommendations, incretin mimetics, i.e. Dipeptidyl peptidase-4 (DPP4) inhibitors and Glucagon-like peptide-1 (GLP-1), have been introduced on the market.
Latest data on the cost of diabetes in France come from the 2007 ENTRED study (Echantillon national témoin représentatif des personnes diabétiques) [4], which described healthcare expenditures in a nationally representative sample of people covered by the largest national health insurance fund, living in metropolitan France. According to this study, average annual individual expenditures for treating people with diabetes were €5,341 in 2007. The first category of expenditure was hospitalisation (over 38%). The second category was drug costs, estimated at €1,343 to €1,402 (25-26%) according to data sources, or €3.67/day to €3.84/day. Antidiabetics represented 23% of the drug costs (oral medications: 13% and insulin: 10%). The main other drug categories were cardiovascular treatments (37% of drug reimbursements), lipid-lowering drugs (9%) and anti thrombotic drugs (6%).
Among T2DM complications, chronic renal disease (CRD) limits the therapeutic options because a reduced glomerular filtration rate results in the accumulation of certain drugs and/or their metabolites. Health care costs among persons with T2DM with end-stage renal failure were estimated to be 3 to 4 times higher compared to T2DM cases without related complications [5].
Several important changes occurred since the ENTRED study. First, new therapeutic classes have been introduced, as previously mentioned. This could have important economic consequences as prices of these new drugs are substantially higher than those of older andiabetics. Secondly, diabetes treatments were intensified in the last decade. According to ENTRED, monotherapy was less frequent in 2007 compared to 2001 (36% vs 41%) while combination of oral antidiabetics (OAD) and combination therapy with insulin were more frequent (34% vs 32% and 21% vs 19%). This trend was pursued in recent years, with use of basal insulins growing at a faster rate than oral antidiabetics [6]. On the other hand, a limitation of the ENTRED study is that it did not provide costs estimations according to treatment escalation.
The objectives of this new study were (1) to update and enhance 2007 ENTRED study figures with data obtained in recent years up to 2010 including the period of launch of new antidiabetic oral treatment (DPP4 inhibitors and GLP1 analogs); (2) to estimate the diabetes-attributable annual expenditures based on a comparison vs. matched individuals without diabetes; (3) to compare annual expenditures per patient between treatment stages and according to renal function status (RFS) and to identify the main cost components driving differences between stages and according to RFS.

Methods

Study design and data source

We performed a retrospective cross-sectional analysis using data from the ‘Echantillon Generaliste de Beneficiaires’ (EGB) database. The EGB database contains records of reimbursements made by the national health insurance for ambulatory care, for a sample of 530,000 subjects, representative of the general population affiliated with the French health insurance system. The sample is obtained by 1/97th random sampling with control for distribution of age and gender. This anonymized database includes patient demographics, health plan enrolment information, and reimbursed amounts for outpatient procedures, laboratory tests, physician visits and outpatient drug dispensing claims, along with specialty of the prescriber. It contains neither direct clinical information nor results of the lab tests.
EGB is a completely anonymized database with no possible interaction with the persons contributing information. The identification of persons included in the EGB sample is protected by an anonymization process with two cryptographic levels, a procedure conforming to French data protection legislation. The use of EGB for medical research has been approved by the National Commission for Informatics and Liberties (CNIL). The conditions of use of EGB for research purposes and the authorized accesses are stated by law. Researchers involved in this study were authorized to use the database, and have been trained in its use. The study were declared to and approved by the National Institute of Medical Research and Statistics (INSERM).

Observation period

Patients were monitored between 2005 and 2010 from the date of the first prescription of antidiabetic drug (oral and/or insulin), or from the date of notification of chronic disease/ALD status for T2DM. DM is one of a list of long-term conditions, designated as “Affections Longue Durée” for which patients are entitled to 100% reimbursement of health care. The observation period was partitioned in calendar years. Annual healthcare expenditures in different years were compared between phases of treatment (from 2005 to 2010).

Patient selection and classification

Patients were included in the treated T2DM cohort if the antidiabetics (ADs) or insulin were dispensed for more than 80% of days over 15-months during the follow-up period. Patients with any evidence of pregnancy, gestational diabetes or any other type of diabetes during the treatment period were excluded.
In absence of complete diagnostic information in the database, patients with declining renal function (DRF) were identified as patients with at least one of the following criteria: (1) at least 2 measurements of creatinine clearance and 2 measurements of urinary protein in one year; (2) at least one long-term condition record with an ICD-10 code related to chronic renal failure; (3) At least one nephrologist consultation associated with a prescription of treatment from the following list: combination of angiotensin converting enzyme inhibitors (ACE-I) and angiotensin II receptor antagonists (A2RA); phosphorus chelators (calcium carbonate, sevelamer, lanthanum, aluminium salts); polystyrene sulfonate); (4) At least two dispensings with an interval from 30 to 365 days of a combination of following treatment: ACE-I, A2RA, phosphorus chelators. This definition was deliberately restrictive in order to minimize the number of false positives.
Based on expert opinion, a patient was considered in a stable treatment stage if he was in that stage for at least 6 months. As pharmacy claims generally occurred at 1-month intervals, patients were classified into oral/GLP1 monotherapy (MT), double therapy (DT), triple therapy (TT) or insulin therapy (IT) (either associated or not with other antidiabetics) if they had at least 6 consecutive pharmacy claims for either one, two, three OAD/GLP-1 analog or insulin (± OAD/GLP-1 analog) treatment without discontinuation. The definition of antidiabetic treatment discontinuation was a gap between two claims of antidiabetic drugs exceeding 6 months. The start date of a treatment phase was the date of the first of the six consecutive claims. The end date of a treatment phase was defined as the date of the first occurring event among the following: (1) a new treatment stage starts; (2) first of 5 consecutive dispensings that do not correspond to the treatment phase; (3) discontinuation.
For each patient, only the years during which the patient was constantly in the same treatment phase were considered. Each year, patients were excluded if they were lost to follow-up (no healthcare resource use during 3 months during the calendar year) or discontinued T2DM treatment.
The estimation of T2DM-attributable expenditures was based on the difference in expenditures between patients with T2DM and matched controls without diabetes. Controls were randomly selected among insured persons included into EGB database not selected above and matched with patients with T2DM according to age and gender. Each year, controls were excluded from the analysis if they had no reimbursement claim during the year or at least one long-term condition record with an ICD 10 code related to chronic kidney failure before or during the year of interest.

Estimation of yearly reimbursed expenditures

Total amounts charged by providers and amounts reimbursed by the national health insurance are included in all medical claim records. Therefore healthcare expenditures from the health insurance perspective were calculated by summing amounts reimbursed by national health insurance for all healthcare resources consumed by calendar year, overall and by type of resource. All ambulatory care resources were included: pharmacy, physician visits and consultations, nursing care, diagnostic tests, imaging procedures, physiotherapy, medical devices, transportation… Two types of expenditures were reported: total expenditures (sum of all reimbursed amounts, related to diabetes or not) and expenditures attributable to T2DM, estimated as the mean differences in reimbursed expenditures between patients with T2DM and matched controls without T2DM.

Statistical analysis

In order to estimate expenditures attributable to diabetes, each case was matched to 2 controls without diabetes with same year of birth and same gender, using a greedy matching algorithm. In addition, to estimate the effect of treatment phase, patients with T2DM in a given treatment phase were matched to patients with T2DM at earlier treatment phase in same calendar year, with same year of birth and gender. The matching ratio was 1:2 for DT vs MT; 1:3 for IT vs DT; and 1:2 for IT vs MT. The matching algorithms were applied for each year successively.
Effects of treatment stages on annual ambulatory care expenditures were analysed by means of generalised linear models with a log link function and negative binomial distribution, adjusting on patient characteristics not included in matching variables (area of residence, eligibility for full reimbursement of healthcare for people who cannot afford a private top-up health insurance), calendar year, and clinical characteristics such as co-prescriptions (cardiovascular and antihypertensive drugs) and long terms conditions. All analyses were performed using SAS software version 9.1.

Results

A total of 25,458 patients treated for T2DM were selected. The proportion of patients treated was stable over time (Figure 1; Table 1). 2,535 (10%) patients had DRF (Table 2). The number of patients continuously treated in one phase over a calendar year ranged from 9,682 to 11,772 between 2005 and 2010. The proportion of patients in IT among patients continuously treated in one phase, increased from 10.7% in 2005 to 13.9% in 2009 (Table 1). Each year, around half of the patients were excluded from the transversal analysis due to the high proportions of patients lost to follow-up or discontinuing their treatment.
Table 1
Number of patients analyzed
Year
2005
2006
2007
2008
2009
2010
Diabetics patients followed up (1)
19,005
 
20,434
 
21,512
 
22,566
 
23,713
 
24,862
 
Patients analyzed
9,682
 
10,397
 
11,094
 
11,772
 
11,583
 
9,734
 
Monotherapy
5,792
59.8%
5,890
56.7%
6,080
54.8%
6,390
54.3%
6,065
52.4%
4,764
 
Double therapy
2,484
25.7%
2,815
27.1%
3,029
27.3%
3,147
26.7%
3,100
26.8%
2,770
28.5%
Triple therapy
355
3.7%
447
4.3%
551
5.0%
657
5.6%
730
6.3%
803
8.2%
Polytherapy
14
0.1%
28
0.3%
44
0.4%
66
0.6%
73
0.6%
98
1.0%
Insulinotherapy
1,037
10.7%
1,217
11.7%
1,390
12.5%
1,512
12.8%
1,615
13.9%
1,299
13.3%
Patients excluded
9,323
 
10,037
 
10,418
 
10,794
 
12,130
 
15,128
 
Lost to follow up
4,562
49%
4,877
49%
4,909
47%
4,821
45%
4,923
41%
4,418
29%
No pharmacological treatment
839
9%
1,152
11%
1,466
14%
1,719
16%
2,008
17%
1,610
11%
Pharmacological treatment with:
Discontinuation period
1,692
18%
1,846
18%
1,907
18%
1,959
18%
2,535
21%
6,411
42%
Non stationary period
1,255
13%
1,070
11%
1,086
10%
1,225
11%
1,432
12%
1,978
13%
Stage changes
975
10%
1,092
11%
1,050
10%
1,070
10%
1,232
10%
711
5%
Table 2
Definition of diabetic patients with declining renal function
Diabetic patients
 
25,458
 
 
2 Measurements of creatinine clearance and 2 Measurements of urinary protein within a one-year time frame
2,109
8,3%
OR
At least one record associated with a long term condition “chronic nephropathy and primitive nephrotic syndrom” and at least one ICD 10 code related to chronic kidney failure
127
0,5%
OR
At least one prescription dispensing of treatment from the following list associated to a nephrologist visit: ACE-I (Angiotensin converting enzyme inhibitors) and A2RA (Angiotensin II receptor antagonists) in association, phosphorus chelators (*), polystyrene sulfonate (**), Angiotensin converting enzyme (ACE) inhibitors,
496
1,9%
OR
At least two dispensings with an interval from 30 to 365 days of a conbination of following treatment: ACE-I, A2RA, phosphorus chelators (*), polystyrene sulfonate (**)
170
0,7%
Total number of patients with a chronic kidney failure (CKF) (Declining Renal Function)
2,535
10,0%
Patients with terminal CKF: patients with a CKF and…:
 
At least 2 records associated with a CCAM code related to dialyse within a One-week time period
67
0,3%
OR
At least 2 prescription dispensings of erythropoietin AND 2 prescriptions dispensing of phosphorus chelators within a 45 days-time period
22
0,1%
Total number of patients with a terminal CKF
80
0,3%
Patients with severe CKF: patients with a CKF…
585
2,3%
 
At least 2 prescription dispensings of erythropoietin
470
1,8%
OR
At least 2 prescription dispensings of phosphorus chelators
140
0,5%
OR
At least 4 nephrologist visits within 12-months time frame
58
0,2%
Total number of patients with a severe CKF
585
2,3%
Patients with moderate CKF: Patients with a CKF not defined as severe or terminal
 
Total number of patients with moderate CKF
1,870
7,3%
The average age was between 64 and 68 years old in 2010 among patients with normal renal function (NRF), according to treatment phase, increasing by 1 to 2 years compared to 2005. The prevalence of specific cardiovascular drug co-prescriptions was higher in patients with T2DM than in the control group, and was the highest for those treated by insulin. All patients with diabetes are entitled to full reimbursement health care expenses related to diabetes and associated long-term conditions, therefore average reimbursement rates of antidiabetics are high, from 90% to 98% (Table 3). There was no major difference in demographic characteristics between patients with or without DRF.
Table 3
Socio-demographic and clinical characteristics by treatment stage and renal function status among patients treated for T2DM in 2010
 
Patients with normal renal function
Patients with declining renal function
Mono-therapy
Double therapy
Triple therapy
Insulin therapy
Non diabetic patients
Mono-therapy
Double therapy
Triple therapy
Insulin therapy
Number of patients
4,353
2,503
728
1,032
27,389
411
267
78
267
Female (N,%)
48.0%
46.1%
43.4%
53.7%
47.6%
45.3%
44.9%
35.9%
47.2%
Age (mean, sd) (1)
67.7 (11.5)
66.3 (11.1)
64.0 (10.1)
67.4 (11.9)
66.9(11.4)
69.6 (11.0)
67.3 (11.6)
66.0 (10.3)
71.4 (10.0)
Out of metropolitan France
4.5%
5.3%
5.9%
8.6%
-
6.6%
9.4%
7.7%
10.1%
CMU* beneficiary
2.5%
3.4%
4.3%
3.3%
3.3%
4.9%
6.0%
3.9%
3.0%
Reimbursement rate for antidiabetics (mean, sd)
90.9 (15.6)
95.7 (12.0)
97.2 (10.3)
98.1 (8.1)
-
-
-
-
-
Antihypertensive
79.0%
79.0%
81.2%
86,0%
47.8%
88.3%
85.8%
93.6%
96.3%
Antithrombotic agents
41.3%
41.9%
40.3%
60.3%
22.7%
49.4%
44.9%
32.1%
74.5%
Hypolipidemic drugs
62.8%
65.0%
72.1%
69.0%
33.0%
67.4%
67.8%
71.8%
79.8%
ALD*-5: Cardiac Insufficiency
2.8%
1.8%
1.7%
2.4%
1.7%
4.4%
2.3%
2.6%
1.9%
ALD-8: Diabetes
32.9%
50.1%
62.9%
75.6%
-
41.6%
56.6%
73.1%
77.9%
ALD-12: Hypertension
10.9%
9.8%
9.9%
10.2%
3.0%
13.1%
18.0%
14.1%
12.0%
ALD-13: Myocardial infarction
5.7%
5.1%
3.7%
5.6%
3.7%
7.5%
3.8%
1.3%
7.1%
ALD-23: Psychosis
4.0%
4.0%
5.5%
6.5%
3.5%
2.9%
3.8%
2.6%
4.5%
ALD-30: Malignant cancer
5.8%
5.0%
3.2%
3.5%
5.5%
7.1%
6.7%
2.6%
5.6%
*CMU = Couverture maladie universelle ( Universal health care coverage).

Ambulatory care expenditures over time

Individual annual ambulatory care expenditures increased from €2,703 in 2005 to €3,017 in 2010 for patients in MT (+11.6%), from €2,884 to €3,308 in DT (+14.7%) and from €6,759 to €7,398 in IT (+9.4%) (Figure 2; Table 4). These increase rates are lower than the rate for controls without diabetes (+26.3%). Quasi-stability is observed for patients in TT (+0.2% from €3,473 to €3,482) (Figure 2).
Table 4
Total ambulatory care expenditures according to time and treatment phase for patients (€)
 
2005
  
2006
  
2007
  
2008
  
2009
  
2010
  
N
Mean
SD
N
Mean
SD
N
Mean
SD
N
Mean
SD
N
Mean
SD
N
Mean
SD
Patients with Normal Renal Function
Monotherapy
5,507
2,703
3,333
5,543
2,711
3,407
5,682
2,821
3,542
5,921
2,971
3,916
5,538
2,980
3,876
4,353
3,017
3,829
Double therapy
2,324
2,884
3,113
2,587
2,935
3,206
2,762
3,095
3,622
2,839
3,125
3,611
2,786
3,171
3,861
2,503
3,308
4,045
Triple therapy
328
3,473
3,121
406
3,295
3,013
505
3,313
2,938
587
3,180
3,011
658
3,264
3,312
728
3,609
3,801
Insulin therapy
898
6,759
5,203
1,029
6,800
5,192
1,150
7,063
5,573
1,214
7,058
5,903
1,256
7,228
5,658
1,032
7,398
5,487
Non diabetic patients
27,389
1,715
2,914
28,962
1,767
3,060
30,618
1,866
3,261
32,103
1,994
3,475
31,128
2,150
3,979
26,253
2,166
4,102
Patients with Declining Renal Function
Monotherapy
282
4,148
4,258
339
4,267
4,426
393
4,396
4,811
465
4,897
6,427
518
4,149
4,637
411
4,226
5,369
Double therapy
157
3,773
3,144
228
3,603
3,628
266
3,667
3,257
308
3,892
4,004
310
3,891
4,623
267
4,159
5,268
Triple therapy
27
4,244
3,641
41
3,105
1,617
45
4,052
3,396
69
4,203
4,411
71
3,387
3,027
78
4,032
4,329
Insulin therapy
136
10,772
9,335
188
10,227
8,882
240
10,644
10,731
294
10,499
10,185
359
11,155
11,188
267
11,344
11,185

Individual ambulatory care expenditures in 2010

In 2010, annual individual ambulatory care expenditures slightly increased from MT (€3,017 [95%CI: €3,015;€3,019]) to DT (€3,308 [€3,305;€3,311]), and from DT to TT (€3,609 [€3,599;€3,619]). Switching from OADs/GLP-1 analogs to insulin led to an increase in individual ambulatory care expenditures to €7,398 [€7,388;€7,408]. This substantial increase was also found in other years and is mainly attributable to nursing care (+1,000% vs. MT), medical devices (+347%), transportation (+200%) and pharmacy expenditures (+129%) (Table 5).
Table 5
Details of individual ambulatory care expenditures for patients with T2DM and normal renal function and for non-diabetic controls in 2010 (€)
 
Consultations visits
Physio-therapist
Nursing care
Biological diagnostic tests
Radiology/medical imaging
Medical devices
Transportation
Invalidity
Pharmacy
Others
Total ambulatory care costs
Monotherapy (mono): m (σ)
256 (190)
90 (339)
144 (853)
159 (175)
113 (191)
272 (861)
88 (449)
219 (1,451)
1,156 (1,786)
521 (1,528)
3,017 (3,829)
Double therapy (bi): m (σ)
257 (156)
88 (372)
152(885)
155 (158)
107 (186)
294 (728)
98 (787)
240 (1,730)
1,411 (1,650)
506 (1,679)
3,308 (4,045)
Cost ratio vs mono
1.045
0.909
1.392
1.070
0.940
1.237
1.113
0.976
1.236
0.885
1.102
Triple therapy (tri): m (σ)
252 (146)
55(280)
94 (646)
149 (129)
110 (188)
272 (410)
112 (707)
308 (1,857)
1,798 (1,509)
460 (1,337)
3,609(3,801)
Cost ratio vs bi
1.044
0.728
0.675
0.977
1.038
1.059
1.022
1.026
1.287
0.926
1.101
Insulin therapy: m (σ)
329 (208)
157 (499)
1,586 (2761)
198 (210)
140 (221)
1,216 (1,697)
264 (1,064)
444 (2,025)
2,646 (2,124)
420 (1,093)
7,398(5,487)
Cost ratio vs tri
1.200
2.509
18.420
1.189
1.178
3.931
2.480
2.929
1.331
1.228
1.942
Non diabetic patients
175 (184)
81 (324)
101 (977)
93 (176)
95 (170)
160 (805)
85 (582)
136 (1,131)
702 (2,142)
538 (1,799)
2,166 (4,102)
Additional costs vs non diabetic patients: € (increase rate in %)
Monotherapy
80 (46.3%)
9 (11.1%)
43 (42.6%)
66 (71.0%)
18 (18.9%)
112 (70.0%)
3 (3.5%)
83 (61.0%)
454 (64.7%)
−17 (-3.2%)
852 (39.3%)
Double therapy
81 (46.9%)
7 (8.6%)
51 (50.5%)
62 (66.7%)
12 (12.6%)
134 (83.8%)
13 (15.3%)
104 (76.5%)
709 (101.0%)
−32 (-5.9%)
1,142 (52.7%)
Triple therapy
77 (44.0%)
−26 (-32.1%)
−7 (-6.9%)
56 (60.2%)
15 (15.8%)
112 (70.0%)
27 (31.8%)
172 (126.5%)
1,096 (156.1%)
−78 (-14.5%)
1,444 (66.7%)
Insulin therapy
154 (88.0%)
76 (93.8%)
1,485 (1,470.3%)
105 (112.9%)
45 (47.4%)
1,056 (660.0%)
179 (210.6%)
308 (226.5%)
1,944 (276.9%)
−118 (-21.9%)
5,234 (241.7%)
*Cost ratios from Generalized Linear Models (GLM), adjusted on year, socio demographic patient characteristics, long-term conditions, co-treatments.
The regression model showed that individual ambulatory expenditures increased by a ratio of 1.94 (p < 0.001) from TT to IT, with adjustment for socio-demographic characteristics and co-treatments. Nursing care costs increased by a ratio of 18.42 (p < 0.001), medical devices costs (including glucose monitoring device) by 3.93 (p < 0.001) and pharmacy costs by 1.33 (p < 0.001) (Table 5).
The drug costs increased with treatment escalation: from €1,113 (€3.04/day) in MT to €1,381 in DT (€3.78/day), to €1,701 (€4.66/day) in TT and to €2,615 (€7.16/day) in IT. Pharmacy is the first cost category accounting for 38% of ambulatory care expenditures in MT, 43% in DT, 50% in TT and 36% in IT (Tables 6 and 7).
Table 6
Impact of the treatment phase on the annual ambulatory healthcare expenditures attributable to diabetes for patients with T2DM with normal renal function (€) (Adjusted model on differences in expenditures between T2-DM patients and matched individuals without diabetes)
Treatment phases (ref = monotherapy)
Pharmacy
Consultations
Medical devices
Nursing cares
Others
Total ambulatory costs
Double therapy
238***
9***
26***
9
−31
224***
(213;262)
(6;12)
(15;38)
(-5;23)
(-71;9)
(169;280)
Triple therapy
556***
16***
35**
−30*
−131***
411***
(509;603)
(11;21)
(13;57)
(-56;-4)
(-208;-55)
(306;517)
Insulin therapy
1,224***
78***
863***
1,236***
1,268***
3,807***
(1,190;1,259)
(74;82)
(847;880)
(1,217;1,256)
(1,212;1,325)
(3,730;3,885)
* 0.01 < p < 0.05; ** 0.001 < p < 0.01; *** p < 0.001.
Table 7
Details of medication costs by drug class and treatment phase (€)
 
Mono therapy
Double therapy
Triple therapy
Insulin therapy
Non diabetics
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
A-Alimentary tract and metabolism
  Insulin
€4
(€37)
€10
(€55)
€12
(€63)
€881
(€516)
€3
(€54)
  Oral antidiabetic agents
€129
(€114)
€367
(€201)
€647
(€244)
€147
(€196)
-
-
  GLP-1 Analog
€3
(€50)
€13
(€121)
€94
(€319)
€32
(€185)
-
-
  Other alimentary tract and metabolism products
€75
(€136)
€64
(€111)
€64
(€116)
€121
(€174)
€55
(€125)
B-Blood and blood forming organs
  Antithrombotic agents
€61
(€154)
€69
(€172)
€61
(€170)
€127
(€291)
€34
(€120)
  Antihemorrhagics
€0
(€1)
€1
(€68)
€0
(€0)
€0
(€3)
€0
(€55)
  Antianemic preparations
€18
(€396)
€18
(€287)
€7
(€106)
€46
(€670)
€12
(€296)
  Blood substitutes and perfusion solutions
€1
(€15)
€0
(€2)
€0
(€3)
€1
(€7)
€2
(€70)
C- Cardiovascular system
  Cardiac therapy
€24
(€87)
€20
(€72)
€15
(€52)
€43
(€120)
€14
(€57)
  Antihypertensive
€10
(€49)
€13
(€55)
€15
(€61)
€19
(€65)
€4
(€27)
  Diuretics
€14
(€52)
€12
(€37)
€11
(€66)
€24
(€77)
€6
(€34)
  Beta-blocking agents
€33
(€62)
€33
(€60)
€33
(€58)
€43
(€76)
€15
(€40)
  Calcium channel blockers
€31
(€65)
€33
(€66)
€32
(€67)
€40
(€72)
€14
(€43)
  Agents acting of the renin-angiotensin system
€152
(€147)
€171
(€155)
€196
(€160)
€207
(€163)
€61
(€105)
  Lipid modifying agents – Statins
€127
(€162)
€146
(€179)
€177
(€185)
€190
(€201)
€52
(€113)
  Lipid modifying agents - Other
€19
(€76)
€19
(€81)
€20
(€89)
€24
(€109)
€10
(€53)
  Other cardiovascular system drugs
€4
(€23)
€4
(€24)
€5
(€30)
€8
(€36)
€2
(€17)
D-Dermatologicals
€10
(€40)
€11
(€43)
€13
(€61)
€18
(€61)
€7
(€32)
G-Genito urinary system and sex hormone
€15
(€65)
€13
(€58)
€12
(€51)
€18
(€72)
€14
(€52)
H-Systemic hormonal preparations, excl. sex hormones and insulins
-
-
-
-
-
-
-
-
€8
(€192)
J-Antiinfectives for systemic use
€39
(€419)
€36
(€418)
€19
(€39)
€69
(€416)
€38
(€492)
L-Antineoplastic and immunomodulating agents
€70
(€881)
€82
(€921)
€27
(€233)
€141
(€1371)
€78
(€906)
M-Musculo-skeletal system
€27
(€88)
€25
(€63)
€27
(€121)
€24
(€56)
€28
(€98)
N-Nervous system
€0
(€0)
€0
(€0)
€0
(€0)
€0
(€0)
€0
(€0)
  Psychotropics
€50
(€241)
€42
(€183)
€44
(€145)
€82
(€246)
€33
(€146)
  Other nervous system product
€91
(€255)
€92
(€269)
€92
(€247)
€181
(€430)
€74
(€293)
P-Antiparasitic products, insecticides and repellents
€0
(€5)
€0
(€3)
€1
(€6)
€1
(€7)
€0
(€0)
R-Respiratory system
€58
(€223)
€46
(€173)
€46
(€179)
€86
(€295)
€43
(€188)
S-Sensory organs
€38
(€279)
€32
(€230)
€24
(€118)
€33
(€193)
€29
(€275)
V-Various
€9
(€139)
€8
(€72)
€5
(€17)
€8
(€28)
€9
(€255)
Total
€1113
(€1,411)
€1,381
(€1,435)
€1,701
(€868)
€2,615
(€2,089)
€644
(---)
Average costs of antidiabetic drugs in 2010 (insulin/OADs/GLP-1 analogs) were €136 (€0.37/day) in MT, €390 (€1.07/day) in DT, €753 (€2.06/day) in TT and €1,060 (€179 for OADs and €881 for insulin, €2.90/day) for patients with insulin (Table 7). The cost of insulin alone does not explain the substantial cost increase when moving to this final treatment phase (Figure 3; Table 6).
DM-attributable expenditures mainly consist of drug costs for patients without insulin (€1,096 for TT). In addition, significantly higher DM-attributable costs related to nursing care (€1,485) and medical devices (€1,056) are incurred for patients with insulin (Figure 4). DM-attributable drug costs are largely related to antidiabetic drugs (from 28% in MT to 71% in TT; 54% in IT), and also to cardiovascular system drugs (21% in IT to 51% in MT) and nervous system drugs (from 3% in TT in to 8% in IT) as shown in Figure 3.
The regression analysis shows an increase of €224/patient in the ambulatory expenditures attributable to T2DM between MT and DT, i.e + 26% (see Table 7). This difference reached €411 between MT and TT (+48%) but the largest increase was observed during the transition to insulin, equal to €3807 (+447%) and €3396 (+269%) compared to MT and TT respectively. This analysis also showed substantial increase rates associated with the transition to insulin, for other resource categories, especially nursing care.

Patients with declining renal function

Individual ambulatory care expenditures for patients with DRF exceeded those for patients with NRF by 12% (TT) to 53% (IT), with estimated totals of €4,226 [€4,200;€4,252] for MT in 2010, €4,159 [€4,120;€4,198] for DT, €4,032 [€3,923;€4,141] for TT and €11,344 [€11,262;€11,426] for IT (Table 8). The same cost pattern was found for previous years.
Table 8
Individual ambulatory care expenditures for patients with type T2DM and declining renal function in 2010 (€)
 
Pharmacy
Consultation (GP/specialist)
Nursing care
Total ambulatory care costs
Monotherapy (N = 411)
m (σ)
1,798 (2,433)
307 (252)
143 (683)
4,226 (5,369)
Increase rate vs NRF
56%
20%
0%
40%
Double therapy (N = 267)
m (σ)
1,893 (3,908)
301 (171)
210 (963)
4,159 (5,268)
Cost ratio vs mono (%)
1.094*
0.978
0.736
0.959
Increase rate vs NRF
34%
21%
38%
26%
Triple therapy (N = 78)
m (σ)
2,141 (3,056)
305 (152)
99 (504)
4,032 (4,329)
Cost ratio vs mono (%)
1.262 ***
1.029
0.903
1.031
Increase rate vs NRF
19%
17%
5%
12%
Insulin therapy (N = 267)
m (σ)
3,889 (5,363)
422 (340)
2,161 (3,638)
11,344 (11,185)
Cost ratio vs mono (%)
2.020 ***
1.230 ***
10.236 ***
2.223***
Increase rate vs NRF
47%
28%
36%
53%
* 0.01 < p < 0.05; ** 0.001 < p < 0.01; *** p < 0.001.

Discussion

The results of this study show that individual ambulatory care expenditures for patients with T2DM increased moderately and progressively from 2005 to 2010. Increase rates were lower for patients with T2DM in a stable treatment stage (< 15%), than for controls without diabetes (26%) with an average annual rate (from 0.9% for TT to 2.8% for DT) close to the inflation rate (from 1.5% to 2.8%) over the same period (except 2009). The introduction of new classes of antidiabetic drugs in 2008-2009 (DPP4 and GLP-1 analogs) did not appear to have any substantial impact on overall health care expenditures for DM patients over the considered period. In addition, individual yearly ambulatory care expenditures increased with treatment escalation. Insulin therapy was associated with substantial cost increase compared to earlier stages of treatment, related to pharmacy but also nursing care and medical devices utilisation. Additional drug costs attributable to diabetes are not only related to antidiabetic drugs and insulin but also to other drugs, mainly cardiovascular system and psychotropic drugs (antidepressants and analgesics). Although adjustments for patient socio-demographics and co-treatments were used, it cannot be ruled out that a residual part of the estimated difference in expenditures between insulin-treated patients and other DM patients is attributable to worsening health status. However, a large part of those additional expenditures appears to be directly related to administration of insulin, as suggested by high rates of increase in costs of nursing care and medical devices.
In addition, individual yearly expenditures for DM patients with DRF were showed to exceed expenditures for other DM patients by +12% (TT) to +53% (IT), again with substantial nursing care and medical device costs for patients treated with insulin.
The estimated expenditures reported here are consistent with results of previous studies on the costs of diabetes in France. Ambulatory care expenditures were approximately €3,400 in 2007, among patients with or without insulin, compared to €3,300 (excluding hospitalisation) in ENTRED. The pharmacy expenditures estimates (€1,156, €1,411 and €1,798 in MT, DT and TT) are also comparable to those from the ENTRED study (around €1,400) [4]. A review on costs of diabetes in France suggested that costs in patients with insulin are about twice as much as in patients treated with oral antidiabetics, which is also consistent with our findings [7]. However, the cost difference between patients with and without insulin was thought to be largely attributable to complications [8]. In addition, the importance of nursing care costs in patients with insulin is corroborated by a recent French publication focusing on the costs associated with insulin therapy [9]: nursing care (€25.8/week) was the most important contributor to the costs of insulin-therapy (€45.4/week).
Real-world healthcare expenditures were measured in this study by analyzing health insurance claims data. The strengths of the EGB database, relative to other health insurance databases in Western countries, include its size, its representativity, the absence of selection according to clinical or socioeconomic criteria, and the fact that most persons are continuously enrolled. However, this study has limitations related to the utilisation of administrative data, rather than clinical data. Thus, the identification of patients with DRF was based on very restrictive assumptions. We estimated the proportion of patients with DRF at 10%, whereas higher estimates have been reported [10, 11]. This implies that the groups of patients with NRF probably included a few patients with DRF.
The EGB database contains no other socio-demographic data than age, sex, date of death, residence department and the affiliation in the CMU. Education level, income level or occupational category of beneficiaries, for which the influence on health care consumption has been demonstrated [12, 13], are absent from the EGB. This information should be collected through specific surveys.
The description of the results over time does not consider all treated DM patients but only focuses on the subpopulation of DM patients that are stable in their treatment. Patients not stable or switching from a treatment to another within the year were excluded from the analysis. This facilitated the comparison of expenditures between treatment stages but also introduced a selection bias that might affect the description of expenditures for the overall population. In particular, expenditures of switching between different treatment stages were not captured. The reported estimations are therefore conservative, reflecting the most stable and compliant patients.
Some patients in a stable treatment phase were not identified in 2010, as suggested by patient numbers by year. The selection method was based on restrictive criteria and the absence of data after December 2010 led to exclude several patients, classified as lost to follow-up.

Conclusions

In conclusion, individual ambulatory care expenditures are substantially higher among patients with T2DM in a stable treatment phase, but have grown at a slower rate than in controls without diabetes with same age and gender over recent years up to 2010. Pharmacy is the first category of ambulatory care expenditures associated with diabetes; this is not only due to costs of antidiabetic drugs, but also to treatment of comorbidities. This study also highlighted two key determinants of ambulatory care expenditures among patients with T2DM: treatment stage and renal function status. Individual ambulatory care expenditures increase with treatment escalation, and most particularly transition to insulin therapy, because of pharmacy costs, nursing care and medical devices utilisation. Expenditures for patients with DRF are higher than for patients without DRF, at all treatment stages, and particularly for insulin users. These findings provide an economic argument for maintaining the diabetic patients under oral treatments as long as they can be controlled by oral treatment. Finally, this study suggests that the introduction of new oral antidiabetic treatments had little impact on the total ambulatory care expenditure for patients with T2DM.

Funding

This study was supported by an unconditional grant from Boehringer Ingelheim. The sponsor had no influence on study design, conduct, analysis or interpretation, or in the writing of this paper.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

Duality of interest: The Department of Pharmacology at Bordeaux University does studies of drug effectiveness and risks in real-life use with various study designs. Studies are done at the request of the regulatory authorities, or for their attention. Most of these studies are funded by pharmaceutical companies, including most manufacturers of insulin and other glucose-lowering products.

Authors’ contributions

FG participated in the design of the study, supervised the analysis, interpreted the data and drafted the manuscript. EC participated in the design of the study, performed the data management and the statistical analysis and contribute in the interpretation of the data. SA participated in the design of the study, contributed in the interpretation of data and to drafting the manuscript. RG participated in the design of the study, contributed in the interpretation of data and revised the manuscript critically for important intellectual content. NM participated in the conception of the study, revised the manuscript critically for important intellectual content and gave final approval of the version to be published. MT participated in the conception of the study, revised the manuscript critically for important intellectual content and gave final approval of the version to be published. All authors read and approved the final manuscript.
Anhänge

Authors’ original submitted files for images

Literatur
1.
Zurück zum Zitat Ricci P, Blotière PO, Weill A, Simon D, Tuppin P, Ricordeau P: Diabète traité: quelles évolutions entre 2000 et 2009 en France?. Bull Epidemiol Hebd. 2010, 42–43: 425-431. Ricci P, Blotière PO, Weill A, Simon D, Tuppin P, Ricordeau P: Diabète traité: quelles évolutions entre 2000 et 2009 en France?. Bull Epidemiol Hebd. 2010, 42–43: 425-431.
2.
Zurück zum Zitat Ricci P, Chantry M, Detournay B: Coûts des soins remboursés par l’Assurance maladie aux personnes traitées pour diabètes: Etude ENTRED 2001 et 2007. Bull Epidemiol Hebd. 2009, 42-43: 464-469. Ricci P, Chantry M, Detournay B: Coûts des soins remboursés par l’Assurance maladie aux personnes traitées pour diabètes: Etude ENTRED 2001 et 2007. Bull Epidemiol Hebd. 2009, 42-43: 464-469.
3.
Zurück zum Zitat Agence française de sécurité sanitaire des produits de santé, Haute Autorité de Santé: Recommandation de bonne pratique. Stratégie médicamenteuse du contrôle glycémique du diabète de type 2. note de cadrage. 2012, Saint-Denis: AFSSAPS; HAS Agence française de sécurité sanitaire des produits de santé, Haute Autorité de Santé: Recommandation de bonne pratique. Stratégie médicamenteuse du contrôle glycémique du diabète de type 2. note de cadrage. 2012, Saint-Denis: AFSSAPS; HAS
4.
Zurück zum Zitat Ricci P, Chantry M, Detournay B, Poutignat N, Kushnik-Joinville O, Raimond V, Thammavong N, Weill A: Analyse économique des soins des personnes traitées pour diabète (étude Entred 2001 et 2007). Pratiques et Organisation des soins. 2010, 41 (1): 1-10.CrossRef Ricci P, Chantry M, Detournay B, Poutignat N, Kushnik-Joinville O, Raimond V, Thammavong N, Weill A: Analyse économique des soins des personnes traitées pour diabète (étude Entred 2001 et 2007). Pratiques et Organisation des soins. 2010, 41 (1): 1-10.CrossRef
5.
Zurück zum Zitat Ramsey SD, Newton K, Blough D, McCulloch DK, Sandhu N, Wagner EH: Patient-level estimates of the cost of complications in diabetes in a managed-care population. Pharmacoeconomics. 1999, 16 (3): 285-295. 10.2165/00019053-199916030-00005.CrossRefPubMed Ramsey SD, Newton K, Blough D, McCulloch DK, Sandhu N, Wagner EH: Patient-level estimates of the cost of complications in diabetes in a managed-care population. Pharmacoeconomics. 1999, 16 (3): 285-295. 10.2165/00019053-199916030-00005.CrossRefPubMed
6.
Zurück zum Zitat Robert J, Roudier C, Poutignat N, Fagot-Campagna A: Prise en charge des personnes diabétiques de type 2 en France en 2007 et tendance par rapport à 2001. Bull Epidemiol Hebd. 2009, 42–43: 455-459. Robert J, Roudier C, Poutignat N, Fagot-Campagna A: Prise en charge des personnes diabétiques de type 2 en France en 2007 et tendance par rapport à 2001. Bull Epidemiol Hebd. 2009, 42–43: 455-459.
7.
Zurück zum Zitat Detournay B, Raccah D, Cadilhac M, Eschwège E: Epidemiology and costs of diabetes treated with insulin in France. Diabetes Metab. 2005, 31 (3 Pt 2): 3-18.PubMed Detournay B, Raccah D, Cadilhac M, Eschwège E: Epidemiology and costs of diabetes treated with insulin in France. Diabetes Metab. 2005, 31 (3 Pt 2): 3-18.PubMed
8.
Zurück zum Zitat Detournay B, Fagnani F, Pribil C, Eschwège E: Medical resources consumption of type 2 diabetics in France in 1998. Diabetes Metab. 2000, 26 (3): 225-231.PubMed Detournay B, Fagnani F, Pribil C, Eschwège E: Medical resources consumption of type 2 diabetics in France in 1998. Diabetes Metab. 2000, 26 (3): 225-231.PubMed
9.
Zurück zum Zitat Charbonnel B, Penfornis A, Varroud-Vial M, Kusnik-Joinville O, Detournay B: Insulin therapy for diabetes mellitus: Treatment regimens and associated costs. Diabetes Metab. 2012, 38 (2): 156-163. 10.1016/j.diabet.2011.10.003.CrossRefPubMed Charbonnel B, Penfornis A, Varroud-Vial M, Kusnik-Joinville O, Detournay B: Insulin therapy for diabetes mellitus: Treatment regimens and associated costs. Diabetes Metab. 2012, 38 (2): 156-163. 10.1016/j.diabet.2011.10.003.CrossRefPubMed
10.
Zurück zum Zitat Chadban SJ, Briganti EM, Kerr PG, Dunstan DW, Welborn TA, Zimmet PZ: Prevalence of kidney damage in Australian adults: the AusDiab kidney study. J Am Soc Nephrol. 2003, 14 (7 Suppl 2): S131-S138.CrossRefPubMed Chadban SJ, Briganti EM, Kerr PG, Dunstan DW, Welborn TA, Zimmet PZ: Prevalence of kidney damage in Australian adults: the AusDiab kidney study. J Am Soc Nephrol. 2003, 14 (7 Suppl 2): S131-S138.CrossRefPubMed
11.
Metadaten
Titel
Impact of therapy escalation on ambulatory care costs among patients with type 2 diabetes in France
verfasst von
Florent Guelfucci
Emilie Clay
Samuel Aballéa
Régis Lassalle
Nicholas Moore
Mondher Toumi
Publikationsdatum
01.12.2013
Verlag
BioMed Central
Erschienen in
BMC Endocrine Disorders / Ausgabe 1/2013
Elektronische ISSN: 1472-6823
DOI
https://doi.org/10.1186/1472-6823-13-15

Weitere Artikel der Ausgabe 1/2013

BMC Endocrine Disorders 1/2013 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Costims – das nächste heiße Ding in der Krebstherapie?

28.05.2024 Onkologische Immuntherapie Nachrichten

„Kalte“ Tumoren werden heiß – CD28-kostimulatorische Antikörper sollen dies ermöglichen. Am besten könnten diese in Kombination mit BiTEs und Checkpointhemmern wirken. Erste klinische Studien laufen bereits.

Positiver FIT: Die Ursache liegt nicht immer im Dickdarm

27.05.2024 Blut im Stuhl Nachrichten

Immunchemischer Stuhltest positiv, Koloskopie negativ – in solchen Fällen kann die Blutungsquelle auch weiter proximal sitzen. Ein Forschungsteam hat nachgesehen, wie häufig und in welchen Lokalisationen das der Fall ist.

GLP-1-Agonisten können Fortschreiten diabetischer Retinopathie begünstigen

24.05.2024 Diabetische Retinopathie Nachrichten

Möglicherweise hängt es von der Art der Diabetesmedikamente ab, wie hoch das Risiko der Betroffenen ist, dass sich sehkraftgefährdende Komplikationen verschlimmern.

Mehr Lebenszeit mit Abemaciclib bei fortgeschrittenem Brustkrebs?

24.05.2024 Mammakarzinom Nachrichten

In der MONARCHE-3-Studie lebten Frauen mit fortgeschrittenem Hormonrezeptor-positivem, HER2-negativem Brustkrebs länger, wenn sie zusätzlich zu einem nicht steroidalen Aromatasehemmer mit Abemaciclib behandelt wurden; allerdings verfehlte der numerische Zugewinn die statistische Signifikanz.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.