Front. Public HealthFrontiers in Public HealthFront. Public Health2296-2565Frontiers Media S.A.10.3389/fpubh.2024.1191788Public HealthOriginal ResearchThe economic burden of asthma prior to death: a nationwide descriptive studyGuilleminaultLaurent123*†MouniéMichael45†SommetAgnès6CamusClaire3DidierAlain123ReberLaurent Lionel2ConteCécile6CostaNadège451Pôle des voies respiratoires, service de pneumo-allergologie, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France2Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), Inserm U1291, University of Toulouse, CNRS U5282, Toulouse, France3CRISALIS F-CRIN/INSERM, Toulouse, France4Unité d’Evaluation Médico-Economique, Centre Hospitalier Universitaire, Toulouse, France5INSERM-UMR 1295 - Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Inserm, UPS, Toulouse, France6Unité “Méthodologie, Data management, Analyses Statistiques”, Centre d’Investigation Clinique 1436, Service de pharmacologie médicale, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
Edited by: Sara Manti, University of Messina, Italy
Reviewed by: Naji Khayath, Hôpitaux Universitaires de Strasbourg, France
Camille Rolland Debord, Centre Hospitalier Universitaire de Clermont-Ferrand, France
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Background
In addition to the clinical burden, asthma is responsible for a high economic burden. However, little is known about the economic burden of asthma prior to death.
Objective
We performed an economic analysis to describe the costs during 12 and 24 months prior to asthma death between 2013 and 2017 in France.
Methods
An observational cohort study was established using the French national health insurance database. Direct medical and non-medical costs, as well as costs related to absence from the workplace, were included in the analysis.
Results
In total, 3,829 patients were included in the final analysis. Over 24 and 12 months prior to death, total medical costs per patient were €27,542 [26,545–28,641] and €16,815 [16,164–17,545], respectively. Total medical costs clearly increased over 24 months prior to death. Over 12 months prior to death, costs increased significantly according to age categories, with mean total costs of €8,592, €15,038, and €17,845, respectively, for the categories <18 years old, 18–75 years old, and 75+ years old (p < 0.0001). Over 12 months prior to death, costs were statistically higher in patients with a dispensation of six or more SABA canisters compared to those with a dispensation of five or less canisters (p < 0.0001). In multivariate analysis, comorbidities, hospital as location of death, and dispensation of 12 or more canisters of SABA per year are independent factors of the highest costs.
Conclusion
To conclude, the economic burden of asthma death is high and increases with time, age, and SABA dispensation.
Asthma is a chronic respiratory disease that affects 340 million people worldwide (1). In addition to the clinical burden, asthma is responsible for a high economic burden. Over the past 10 years, this economic burden has been widely studied in different countries.
In a German study, the total annual costs per asthma patient were €2,168, with a €753 higher cost compared with a control group (2). In a Canadian study, the asthma cohort accrued, on average, an annual amount of €1,725 per patient in all-cause medical costs (3). The main cost component was medications, which accounted for 46.0% of additional costs compared to a sample of the general population. Outpatient visits and inpatient stays were responsible for 28.0 and 26.0% of additional costs compared to a sample of the general population, respectively. In France, asthma costs ranged from €393 for mild asthma to €3,187 for severe asthma (4). In the USA, during the 2008–2013 period, asthma was responsible for $50.3 billion in medical costs and $29 billion due to asthma-related mortality (5). The annual per-person incremental medical costs of asthma were $3,266 (in 2015 US dollars), mainly of which were attributable to medication ($1,830), medical visits ($640), inpatient stays ($529), and hospital-based outpatient visits ($176).
Patients with uncontrolled asthma had higher medical costs and decreased productivity (6–8). In patients with uncontrolled severe asthma, the medical cost attributed to asthma is even three times greater than the cost for patients with severe, controlled disease (9). Productivity is also highly impacted by uncontrolled, severe asthma (10). Comorbidities and systemic steroid-related complications also play a crucial role in the additional direct and indirect medical costs related to asthma (11, 12).
Although asthma mortality declined sharply until the mid-2000s, it appears that the mortality rate has been stagnating for several years (13–16). Recently, we showed that half the patients who died from asthma received inadequate ICS doses, and only a small proportion had access to biological therapies (17). Less than 15% were referred to a specialist, and lung function tests were performed in less than 30% of patients. To the best of our knowledge, no data have been published on the economic burden before asthma death. An economic analysis of healthcare consumption prior to asthma death would permit better consideration of the healthcare needed for asthma management. Moreover, mortality reduction with better asthma management could be associated with reduced or avoided cost components.
Our study aims to describe the economic burden during the 2-year period prior to asthma death between 2013 and 2017 in France.
Population and methodsData sources
A retrospective observational cohort study was established using the French National Health Insurance Database (SNDS), which integrates the main French health databases (French health insurance inter-scheme information system, hospital data, and death registry). The cohort characteristics have been described previously (17). Briefly, in France, healthcare consumption data in the SNDS are collected from patients enrolled in mandatory health insurance (about 99% of the French population). The SNDS database provides a global overview of patients’ care pathways without any loss of follow-up in France.
Patients who died from asthma between 2013 and 2017 were identified according to the ICD-10 (International Classification of Diseases, 10th Revision) codes, J45 and J46. Asthma was the main cause of death on the death certificate. Duplicate patients and patients with no health consumption 2 years prior to death (n = 34) were excluded.
The study protocol was approved by the French National Ethics Committee (registration number TPS 578472). The protocol was also approved by the French Data Protection Authority (registration number 919303v1).
Study measurementsDemographic and clinical data
In order to take into account the specificity of age categories, patients were divided into three categories according to age: 0–18, 18–75, and ≥ 75. We derived baseline comorbidities and Charlson Comorbidity Index (CCI) scores from an algorithm developed specifically for this claims database (18). It uses medical procedures, drugs, and hospital discharge diagnosis in addition to the long-term illness (LTI) scheme to identify comorbidities and the CCI score. Updated weights are applied for a better assessment of the CCI.
Healthcare resource consumption
Short-acting beta agonist (SABA) use was quantified as the number of canisters recorded within the past 12 months before death. To enable a comparison of different types and numbers of doses in the SABA canisters, a standardized SABA canister unit was defined as 150 doses. Patients were grouped by the number of SABA canisters recorded: no canisters [1; 2] and considered appropriate use [3–5], [6; 10], and ≥11 (19).
Inhaled corticosteroid (ICS) use included both monotherapy and fixed combinations within the last 12 months prior to death. The mean daily ICS dose (in budesonide equivalents) was defined according to GINA guidelines (20). In children aged 0–11 years, the daily ICS dose was divided into no or negligible dose (<100 μg), low dose (100–200 μg), medium dose (201–400 μg), and high dose (>400 μg). In teenagers (12–17 years old) and adults (≥18 years old), the daily ICS dose was divided into no or negligible dose (<200 μg), low dose (200–400 μg), medium dose (401–800 μg) and high dose (>800 μg). An inadequate daily dose was defined as a dose inferior to the lower limit of a low daily dose that cannot be considered as maintenance therapy.
Cost components
Costs were recorded and analyzed from the perspective of French health insurance. Direct medical (i.e., hospitalizations, medical and paramedical acts, medications, consultations, medical devices), and non-medical (i.e., transportation) costs as well as costs related to absence from the workplace (i.e., daily allowance) were included in the analysis. Unit prices correspond to the tariffs used by French healthcare insurance multiplied by the corresponding reimbursement rate.
Statistical analysis
A descriptive analysis of the patients’ characteristics was performed. Qualitative variables were expressed as numbers and percentages. Quantitative variables were expressed as mean and standard deviations, or median and interquartile range (IQR) when relevant. The global costs of patients who died from asthma were described over 24 months prior to death using mean and bias-corrected and accelerated 95% bootstrapped confidence intervals. In addition, histograms summarizing cost evolution over 6-month periods, 24 months prior to death, were drawn, grouped or not by age categories. In order to focus on the period close to death, the rest of the analysis was performed over a 12-month period prior to death. The non-parametric Kruskal–Wallis test was used to assess cost differences between groups when needed. Generalized linear model regressions with gamma distribution and log link were implemented to assess adjusted cost differences between groups of SABA or ICS dispensation. Adjustment variables were age, gender, CCI, and place of death.
Statistical analyses were performed using R, version 4.2.1.
ResultsPatients’ characteristics
From 1 January 2013 to 31 December 2017, 3,863 subjects were recorded with a leading cause of death related to asthma. After the exclusion of duplicate patients and patients with no health consumption 2 years prior to death, 3,829 patients were included in the final analysis. The patients’ characteristics were described previously. The main characteristics are indicated in Table 1.
Characteristics of the study population for the entire cohort and by age group (N = 3,829).
Characteristics
Age ∈ (75; +) (n = 2,571)
Age ∈ (18–75) (n = 1,194)
Age ∈ (12–18) (n = 27)
Age ∈ (0; 12) (n = 37)
Gender, n (%)
Women
1,826 (74.9)
633 (53.0)
12 (44.4)
13 (35.1)
Age, years
Median (IQR)
87 [83–92]
59 [49–67]
15 [13–16]
6 [3–9]
Year of death, n (%)
2013
503 (19.6)
243 (20.3)
5
4
2014
505 (19.6)
229 (19.1)
3
11
2015
522 (20.3)
251 (21.0)
6
9
2016
505 (19.6)
246 (20.6)
8
7
2017
536 (20.8)
225 (18.8)
5
6
Charlson comorbidity index, n (%)
CCI = 0
542 (21.1)
662 (55.4)
25 (92.6)
34 (91.9)
CCI = 1
800 (31.1)
332 (27.8)
2 (7.4)
1 (2.7)
CCI = 2
760 (29.6)
132 (11.1)
0 (0)
1 (2.7)
CCI = 3
469 (18.2)
68 (5.7)
0 (0)
1 (2.7)
At least one ICS dispensation*, n (%)
1,692 (65.8)
744 (62.3)
22 (81.5)
27 (73.0)
daily ICS dose**, μg Median (IQR)
795.5 [394.2–7095.9]
699 [262.8–1353.5]
350.4 [168.6–591.3]
135.7 [65.7.5–2893.1]
ICS/LABA dispensation, n (%)
1,083 (42.1)
540 (45.2)
16 (59.2)
17 (45.9)
Dispensation of two or more SABA canisters, n (%)
1,420 (55.2)
814 (68.2)
25 (92.6)
30 (81.1)
Number of SABA canisters, median (IQR)
7 (3–14)
8 (3–8)
9.5 (5–12)
4 (2–9)
Number of SABA canisters recorded, n (%)
0
937 (36.4)
277 (23.2)
1 (3.7)
3 (8.1)
≤2
366 (14.2)
178 (14.9)
3 (11.1)
12 (32.4)
3–6
310 (12.1)
154 (12.9)
4 (14.8)
11 (29.7)
6–12
415 (16.1)
213 (17.8)
9 (33.3)
6 (16.2)
>12
543 (21.1)
372 (31.2)
10 (37.0)
5 (13.5)
Main costs over 24 and 12 months prior to death
Over 24 and 12 months prior to death, total medical costs per patient were €27,542 [26,545–28,641] and €16,815 [16,164–17,545], respectively (Table 2; Supplementary Table S1). The most important medical cost component was inpatient stays, regardless of the time prior to death (Figure 1; Table 2). Total medical costs clearly increased over 24 months prior to death and particularly during the last 6 months prior to death (Figure 1), notably due to death-related inpatient stays. Over 12 months prior to death, respiratory system medication accounted for 41% of the medication costs (Table 2).
Main medical costs (€2020) of patients who died from asthma over 12 months prior to death.
Period 1: −12; −6 months
Period 2: −6; 0 months
Period all: −12; −0 months
Frequency
Cost
Frequency
Cost
Frequency
Cost
Inpatient stays
3,561 [3,220; 4,037]
7,708 [7,348; 8,129]
11,270 [10,700; 11,898]
Medicine, surgery, obstetrics
0.7 [0.7; 0.9]
2,165 [2004; 2,358]
1.4 [1.3; 1.6]
6,121 [5,825; 6,478]
2.2 [2; 2.4]
8,286 [7,900; 8,715]
Respiratory system
0.2 [0.2; 0.2]
804 [709; 931]
0.6 [0.5; 0.6]
2,656 [2,481; 2,857]
0.8 [0.7; 0.8]
3,460 [3,218; 3,750]
Asthma-related
0.1 [0.1; 0.2]
466 [405; 566]
0.3 [0.3; 0.4]
1,311 [1,199; 1,440]
0.5 [0.4; 0.5]
1777 [1,632; 1951]
Rehabilitation
0.1 [0.1; 0.2]
1,069 [837; 1,490]
0.2 [0.2; 0.3]
1,243 [1,092; 1,423]
0.4 [0.3; 0.5]
2,311 [2023; 2,752]
Consultation
7.2 [6.8; 7.6]
181 [175; 188]
8.3 [7.9; 8.8]
212 [205; 218]
15.4 [14.7; 16.5]
392 [381; 405]
General practitioner
6.3 [6; 6.8]
133 [128; 137]
7.5 [7.1; 8]
156 [151; 161]
13.8 [13.1; 14.7]
288 [279; 298]
Pulmonologist
0.1 [0.1; 0.1]
2 [1; 2]
0.1 [0.1; 0.1]
2 [1; 2]
Medical procedures
6.5 [6.3; 6.8]
154 [145; 165]
6.8 [6.6; 7.1]
158 [150; 166]
13.4 [12.9; 13.9]
312 [297; 328]
Paramedical procedures
37.2 [34.2; 41.6]
575 [536; 620]
37.7 [35; 41]
617 [573; 666]
74.9 [69.6; 82.5]
1,192 [1,116; 1,279]
Medications
83 [80.9; 85.2]
856 [813; 913]
87.1 [84.9; 89.3]
883 [841; 931]
170.1 [165.9; 174.2]
1739 [1,657; 1835]
Respiratory system
17 [16.3; 17.7]
358 [331; 393]
17.6 [16.9; 18.2]
359 [332; 393]
34.6 [33.3; 35.8]
717 [664; 780]
Medical device
5.5 [5.2; 5.7]
550 [516; 587]
6.6 [6.3; 6.9]
640 [606; 676]
12 [11.5; 12.6]
1,190 [1,125; 1,256]
Respiratory assistance devices, home oxygen therapy
1.2 [1.1; 1.3]
288 [263; 315]
1.4 [1.3; 1.5]
299 [275; 322]
2.6 [2.4; 2.8]
587 [542; 636]
Transportation
1.7 [1.6; 1.8]
195 [177; 221]
2.4 [2.2; 2.5]
263 [242; 290]
4 [3.8; 4.3]
458 [422; 505]
Productivity loss
1.1 [0.8; 1.6]
134 [109; 171]
1.1 [0.8; 1.5]
128 [104; 155]
2.2 [1.7; 3]
262 [214; 321]
Global
143.1 [138.5; 148.7]
6,206 [5,835; 6,687]
151.7 [147.1; 156.5]
10,609 [10,189; 11,039]
294.8 [286; 304.9]
16,815 [16,164; 17,545]
Data are expressed in mean [95% CI]. Global costs are indicated in bold.
Direct and indirect costs of patients who died from asthma over 24 months prior to death.
Costs according to age categories over 24 and 12 months prior to death
Over 24 and 12 months prior to death, it is noticeable that costs increased significantly according to age categories. The mean total costs were €8,592, €15,038, and €17,845 over 12 months prior to death, respectively, for the categories <18 years old, 18–75 years old, and 75+ years old (p < 0.0001) (Figure 2; Supplementary Table S2). The cost of rehabilitation care, paramedical procedures, medical devices, consultation, and transportation were significantly higher in patients aged 75+ years old compared to the others (Supplementary Table S2). However, the costs of respiratory system medications were significantly higher in patients aged 18–75 years old compared to the two other groups (p < 0.0001). In addition, 18- to 75-year-old patients are associated with productivity loss costs amounting to €840.
Direct and indirect costs of patients who died from asthma over 12 months prior to death according to age categories.
Costs according to ICS dispensation over 12 months prior to death (overall population and age categories)
Over 12 months prior to death, total medical costs increased slightly with the daily dose of ICS in the whole population (Supplementary Table S3). Moreover, costs for consultations, medical and paramedical procedures, and medical devices were statistically higher in patients with medium or high daily doses of ICS compared to patients with no or low doses of ICS (p < 0.0001). In patients aged 18–75 years old, total medical costs were statistically lower in those with a dispensation of no or low daily dose of ICS compared to those with a medium and high daily dose of ICS (€13,244 and €13,533 vs. €18,704 and €16,856, respectively, p < 0.0001) (Table 3). A statistical difference was observed for all main cost components except for inpatient stays not related to the respiratory system between the categories of ICS daily dose.
Main medical costs (€2020) according to age and ICS dispensation in patients who died from asthma over 12 months prior to death.
0a (n = 35)
Lowb (n = 6)
Moderatec (n = 13)
Highd (n = 10)
Frequency
Cost
Frequency
Cost
Frequency
Cost
Frequency
Cost
p
<18
Inpatient stays
1.9 [1.2; 3.9]
6,556 [4,316; 9,663]
2.5 [1.2; 5]
16,136 [4,215; 43,116]
1.6 [1.1; 2.3]
5,601 [3,182; 8,584]
1.4 [0.8; 1.9]
7,962 [2,759; 17,632]
0.553
Medicine, surgery, obstetrics
1.9 [1.1; 3.8]
6,325 [4,171; 9,341]
2.5 [1.2; 4.8]
16,045 [4,036; 39,079]
1.5 [0.9; 2.2]
5,352 [3,040; 8,636]
1.4 [0.8; 1.9]
7,851 [2,674; 16,965]
0.556
Respiratory system
0.7 [0.4; 1.3]
3,567 [2001; 5,867]
1.2 [0.3; 2]
2,354 [675; 5,676]
1 [0.6; 1.8]
4,088 [1760; 7,667]
1 [0.6; 1.5]
4,209 [1,499; 13,474]
0.374
Asthma-related
0.6 [0.3; 1.1]
2,373 [1,108; 4,649]
0.7 [0; 1.2]
1,657 [273; 3,896]
0.7 [0.3; 1]
1,655 [640; 3,271]
0.8 [0.3; 1.1]
3,864 [1,094; 12,528]
0.33
Not related to the respiratory system
1.2 [0.5; 3.4]
2,758 [1,398; 5,267]
1.3 [0.5; 2.5]
13,692 [3,955; 36,892]
0.5 [0.2; 1.1]
1,264 [412; 3,849]
0.4 [0.1; 0.8]
3,642 [270; 14,758]
0.135
Consultation
6 [4.3; 8.1]
126 [93; 169]
7.2 [3.8; 10.5]
158 [77; 218]
12.2 [7.7; 26.3]
184 [135; 279]
5.9 [3.3; 8.9]
121 [69; 193]
0.211
General practitioner
1.1 [0.6; 1.9]
48 [22; 103]
2.2 [0.8; 3.7]
128 [47; 340]
3.1 [1.5; 5.5]
155 [83; 270]
0.3 [0; 0.5]
29 [7; 67]
0.014
Medical procedures
5.8 [2.5; 12]
110 [50; 248]
2.8 [0.2; 7.3]
38 [0; 98]
6.3 [2; 13.4]
130 [33; 306]
15.7 [0; 62.4]
221 [0; 883]
0.671
Paramedical procedures
39.9 [29; 54.6]
295 [194; 486]
28 [20.7; 35.2]
148 [103; 190]
50.5 [36.3; 65.3]
438 [285; 827]
58.3 [33.7; 93.3]
604 [316; 1,101]
0.088
Medications
14.8 [9.9; 21.9]
126 [76; 196]
17.2 [14.1; 19.8]
119 [78; 176]
25.1 [17.3; 34.2]
234 [156; 315]
36.5 [18.8; 74.6]
543 [258; 1,032]
0.011
Respiratory system
2.9 [1.1; 11.8]
445 [139; 1,529]
0.8 [0; 1.5]
10 [2; 29]
3.4 [1.8; 7]
82 [32; 209]
3.3 [0.6; 7.7]
62 [6; 175]
0.358
Medical devices
0.4 [0.2; 0.9]
36 [3; 139]
0.7 [0; 1.2]
5 [1; 8]
0.6 [0.2; 1.2]
8 [2; 19]
0.1 [0; 0.3]
1 [0; 3]
0.31
Respiratory assistance devices, home oxygen therapy
0.1 [0; 0.2]
0 [0; 1]
0.2 [0; 0.3]
5 [0; 10]
1.5 [0.2; 4]
50 [1; 155]
2.4 [0.2; 5.7]
45 [3; 136]
0.06
Transportation
2.4 [0.5; 9.9]
230 [79; 561]
0.3 [0; 0.7]
11 [0; 22]
0.2 [0; 0.6]
76 [0; 198]
0.2 [0; 0.4]
14 [0; 35]
0.997
Productivity loss
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
—
Global
7,810 [5,319; 11,834]
16,629 [5,110; 43,510]
6,666 [4,329; 9,735]
9,012 [3,292; 19,351]
0.733
0a (n = 587)
Lowb (n = 108)
Moderatec (n = 167)
Highd (n = 332)
18–75
Inpatient stays
8,999 [7,406; 11,496]
9,194 [6,530; 13,797]
13,468 [10,555; 17,892]
10,411 [8,764; 12,472]
0.001
Medicine, surgery, obstetrics
2.1 [1.5; 3.5]
7,059 [5,751; 8,715]
1.3 [0.9; 1.8]
7,265 [5,294; 11,091]
1.9 [1.5; 2.5]
10,154 [8,015; 13,227]
2.8 [2; 4.5]
9,001 [7,605; 10,782]
<0.001
Respiratory system
0.4 [0.4; 0.5]
2,300 [1788; 3,596]
0.5 [0.3; 0.8]
3,678 [2,115; 7,619]
0.8 [0.6; 1.1]
4,912 [3,596; 6,865]
0.8 [0.6; 1]
4,156 [3,158; 5,513]
<0.001
Asthma-related
0.3 [0.2; 0.4]
1,371 [968; 2,239]
0.4 [0.2; 0.6]
1,673 [1,008; 2,647]
0.5 [0.4; 0.7]
2,238 [1,562; 3,251]
0.6 [0.5; 0.8]
2,436 [1803; 3,341]
<0.001
Not related to the respiratory system
1.7 [1; 3]
4,760 [3,757; 6,157]
0.7 [0.5; 1.3]
3,587 [2,463; 5,013]
1.1 [0.8; 1.7]
5,242 [3,714; 7,403]
2 [1.3; 3.8]
4,845 [3,889; 6,154]
0.124
Consultation
11.1 [10; 13.2]
251 [229; 277]
10.1 [8.2; 13.6]
228 [195; 274]
12.2 [10.6; 14.2]
322 [279; 373]
15 [13.1; 17.4]
371 [334; 430]
<0.001
General practitioner
8.4 [7.4; 10]
249 [216; 306]
7.2 [5.6; 9.9]
256 [183; 425]
11.9 [9.8; 14.6]
399 [317; 559]
10.8 [9.3; 12.7]
364 [307; 447]
0.001
Medical procedures
32.9 [25.2; 42.5]
486 [356; 827]
45.8 [13.9; 161.1]
511 [230; 1,066]
39.5 [27.8; 57.4]
777 [491; 1,257]
60.3 [41.2; 94]
552 [424; 725]
<0.001
Paramedical procedures
127 [115.8; 140.1]
1,435 [1,240; 1718]
122.5 [104.7; 146.6]
1895 [1,125; 3,906]
156.3 [138.2; 178.3]
1796 [1,478; 2,364]
200.1 [182.5; 219.9]
2,799 [2,385; 3,374]
<0.001
Medications
27.1 [24.4; 30.4]
420 [365; 505]
31.8 [26.2; 39.6]
767 [405; 2,115]
38.7 [33.8; 45.5]
659 [548; 888]
56.8 [51.7; 64.2]
1,686 [1,355; 2,220]
<0.001
Respiratory system
6.3 [5.4; 7.7]
589 [469; 729]
5.5 [3.9; 8.9]
436 [222; 1,161]
9.4 [7.4; 11.6]
935 [682; 1,287]
10.8 [9.3; 12.6]
1,010 [782; 1,243]
<0.001
Medical devices
1.5 [1.1; 2.1]
290 [217; 388]
0.6 [0.2; 1.5]
161 [44; 544]
2.1 [1.3; 3.2]
503 [305; 763]
2.2 [1.7; 2.8]
529 [385; 705]
<0.001
Respiratory assistance devices, home oxygen therapy
1.4 [1; 1.9]
36 [27; 51]
1.8 [1.2; 2.7]
48 [30; 72]
2.4 [1.7; 3.3]
66 [46; 102]
3.4 [2.8; 4.1]
72 [59; 90]
<0.001
Transportation
2.5 [2; 3.2]
366 [262; 569]
1.5 [0.9; 2.4]
143 [79; 260]
3.5 [2.6; 4.7]
375 [261; 565]
3.1 [2.5; 3.9]
462 [311; 779]
<0.001
Productivity loss
7.7 [5; 11.8]
868 [656; 1,179]
3.1 [0.9; 10.2]
870 [443; 1,651]
6.1 [2.9; 13.1]
632 [376; 1,052]
8 [4.9; 13.4]
886 [624; 1,244]
0.958
Global
13,244 [11,325; 16,342]
13,533 [10,047; 20,428]
18,704 [15,435; 23,304]
16,856 [14,728; 19,011]
<0.001
0a (n = 1,141)
Lowb (n = 215)
Moderatec (n = 375)
Highd (n = 840)
>75
Inpatient stays
11,229 [10,366; 12,294]
13,978 [11,518; 17,511]
12,398 [10,961; 14,164]
12,173 [11,145; 13,446]
0.102
Medicine, surgery, obstetrics
2 [1.8; 2.5]
7,738 [7,226; 8,319]
2.1 [1.8; 2.4]
8,671 [7,345; 10,292]
2.5 [2.1; 3.7]
9,064 [8,051; 10,340]
2.3 [2; 3.2]
8,996 [8,300; 9,805]
0.034
Respiratory system
0.7 [0.7; 0.8]
2,946 [2,630; 3,317]
0.9 [0.8; 1.1]
3,934 [3,130; 5,213]
1 [0.8; 1.2]
3,950 [3,320; 4,846]
1 [0.9; 1]
4,021 [3,621; 4,566]
<0.001
Asthma-related
0.4 [0.3; 0.4]
1,438 [1,241; 1709]
0.5 [0.4; 0.7]
1932 [1,456; 2,595]
0.7 [0.5; 0.8]
2,147 [1713; 2,659]
0.5 [0.5; 0.6]
1929 [1,680; 2,247]
<0.001
Not related to the respiratory system
1.3 [1.1; 1.8]
4,792 [4,360; 5,292]
1.1 [0.9; 1.4]
4,736 [3,867; 5,815]
1.5 [1.1; 2.8]
5,114 [4,381; 6,148]
1.3 [1.1; 2.3]
4,976 [4,450; 5,546]
0.964
Consultation
16 [14.7; 18.5]
411 [390; 434]
17.3 [14.5; 24.6]
442 [398; 501]
21 [18.3; 26.4]
495 [454; 540]
16.9 [15.7; 18.3]
471 [447; 494]
<0.001
General practitioner
14.7 [13.7; 15.5]
298 [275; 324]
14.6 [12.7; 16.6]
298 [256; 368]
16.5 [15; 17.9]
328 [297; 363]
16.4 [15.4; 17.5]
359 [332; 396]
<0.001
Medical procedures
79.6 [71.7; 89]
1,410 [1,265; 1,560]
101.8 [68.1; 251.6]
1,375 [1,093; 1789]
111 [88.9; 137.7]
1,638 [1,340; 1975]
96.7 [85.4; 111.3]
1,650 [1,468; 1883]
0.002
Paramedical procedures
160.7 [153.9; 167.5]
1,406 [1,300; 1,562]
177.7 [164.3; 193.1]
1,392 [1,257; 1,569]
194.4 [183.1; 206.8]
1936 [1,688; 2,375]
206.8 [199; 215.7]
2057 [1937; 2,237]
<0.001
Medications
24.4 [22.5; 26.3]
515 [444; 657]
29.5 [26.2; 33.7]
485 [423; 587]
36.2 [32.9; 40.3]
695 [572; 986]
46.1 [43.4; 49.1]
927 [865; 1,004]
<0.001
Respiratory system
12.7 [11.7; 13.6]
1,350 [1,236; 1,484]
13.5 [11.5; 16.2]
1,285 [1,045; 1,600]
14 [12.6; 15.6]
1,355 [1,173; 1,598]
16.4 [15.1; 17.8]
1,584 [1,436; 1758]
0.002
Medical devices
3.1 [2.7; 3.5]
684 [597; 780]
2.5 [1.9; 3.5]
561 [401; 780]
2.8 [2.3; 3.4]
687 [540; 867]
3.3 [2.9; 3.8]
761 [657; 873]
0.104
Respiratory assistance devices, home oxygen therapy
1.8 [1.5; 2.1]
46 [38; 56]
2.4 [1.8; 3.2]
62 [45; 86]
3.1 [2.5; 3.7]
71 [56; 91]
3.6 [3.2; 4.2]
81 [70; 97]
<0.001
Transportation
4.7 [4.3; 5.1]
490 [436; 585]
4.8 [4.1; 5.5]
482 [393; 589]
4.6 [4.1; 5.2]
506 [417; 825]
4.9 [4.5; 5.3]
531 [476; 620]
0.192
Productivity loss
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 1]
0.56
Global
16,593 [15,550; 17,756]
19,252 [16,448; 23,020]
18,656 [16,899; 20,641]
18,824 [17,543; 20,198]
<0.001
Global costs are indicated in bold.
Costs according to SABA dispensation (overall population and age categories)
Over 12 months prior to death, medical costs tend to increase with the number of SABA dispensation in the whole population (Table 4). Costs were statistically higher in patients with a dispensation of six or more canisters compared to those with a dispensation of five or less canisters (p < 0.0001). The cost difference was not restricted to medication and was notably led by inpatient stay costs. In addition, significant cost increases were found for patients with more than 12 dispensations of canisters for medical and paramedical procedures, consultations, medical devices, and productivity loss.
Main medical costs (€2020) according to age and SABA dispensation in patients who died from asthma.
0 Canister (n = 12)
[1; 2] Canisters (n = 14)
[3; 5] Canisters (n = 8)
[6; 12] Canisters (n = 16)
>12 Canisters (n = 14)
Frequency
Cost
Frequency
Cost
Frequency
Cost
Frequency
Cost
Frequency
Cost
p
<18
Inpatient stays
2.9 [1.2; 8.9]
9,387 [5,288; 15,487]
1.1 [0.6; 1.8]
3,557 [1,656; 6,661]
2.5 [1.2; 4.2]
11,177 [5,611; 19,971]
1.8 [1; 3.3]
10,007 [4,904; 22,744]
1.2 [0.7; 1.9]
4,767 [2,331; 11,050]
0.274
Medicine, surgery, obstetrics
2.9 [1.2; 8.6]
9,150 [4,857; 14,990]
1.1 [0.6; 1.8]
3,339 [1,455; 6,201]
2.5 [1.2; 4.1]
11,017 [5,621; 20,487]
1.8 [1; 3.3]
9,872 [4,834; 21,121]
1.1 [0.6; 1.8]
4,507 [1954; 10,308]
0.178
Respiratory system
0.9 [0.4; 1.5]
5,758 [2,832; 9,364]
0.4 [0.1; 0.8]
1823 [267; 5,238]
0.6 [0.1; 0.9]
3,152 [781; 7,522]
1.1 [0.5; 2.1]
3,464 [1,430; 7,734]
1.1 [0.6; 1.8]
4,211 [1830; 10,210]
0.389
Asthma-related
0.8 [0.2; 1.3]
3,270 [1,326; 6,734]
0.4 [0.1; 0.6]
1,204 [215; 4,901]
0.4 [0; 0.6]
1884 [139; 7,074]
0.9 [0.4; 1.7]
2,508 [1,024; 9,203]
0.7 [0.4; 1.1]
2,989 [947; 10,378]
0.668
Not related to the respiratory system
2 [0.2; 7.4]
3,392 [358; 9,793]
0.7 [0.4; 1]
1,516 [755; 3,759]
1.9 [0.9; 3.6]
7,864 [3,464; 18,380]
0.7 [0.3; 1.4]
6,409 [2,205; 16,841]
0.1 [0; 0.2]
296 [3; 1,340]
0.020
Consultation
6.1 [3.8; 9.2]
137 [90; 224]
3.5 [1.8; 6.4]
84 [42; 152]
17.6 [10.5; 34.3]
218 [159; 313]
6.7 [4.8; 10.1]
149 [101; 224]
7.1 [5; 9.8]
144 [101; 200]
0.040
General practitioner
2 [0.8; 3.9]
79 [32; 155]
0.5 [0.1; 1.4]
18 [4; 49]
0.6 [0.1; 1]
30 [11; 49]
2.1 [1; 4.3]
134 [59; 243]
1.9 [0.7; 3.5]
84 [37; 208]
0.169
Medical procedures
7.6 [1.9; 21]
162 [35; 550]
4 [0.4; 11.2]
81 [8; 233]
23.8 [2.5; 81]
402 [54; 1,229]
7.5 [2.9; 17.9]
105 [40; 232]
0.1 [0; 0.3]
1 [0; 2]
0.273
Paramedical procedures
55.7 [33.8; 88.3]
440 [225; 787]
17.5 [11.7; 25.7]
95 [57; 140]
43.9 [28.4; 68.3]
268 [140; 452]
40.4 [29.9; 58.7]
452 [274; 807]
64 [43; 86.1]
496 [288; 882]
0.023
Medications
14.7 [8.1; 21.9]
126 [65; 195]
7.9 [4.9; 13]
59 [32; 104]
12.4 [9; 18.3]
98 [39; 288]
22.1 [16.1; 29.4]
278 [184; 405]
41 [26.1; 64.9]
430 [221; 857]
0.005
Respiratory system
6.5 [1.4; 25.6]
869 [24; 3,935]
0.7 [0.3; 1.2]
132 [5; 725]
2.8 [1.5; 4.1]
105 [27; 390]
1.9 [0.7; 5.2]
93 [13; 260]
3.1 [1; 6.4]
195 [44; 759]
0.265
Medical devices
0.2 [0; 0.3]
2 [0; 6]
0.2 [0; 0.4]
2 [0; 5]
1.2 [0.5; 2.2]
58 [6; 256]
0.7 [0.2; 1.4]
55 [3; 254]
0.1 [0; 0.4]
2 [0; 6]
0.040
Respiratory assistance devices, home oxygen therapy
0.3 [0; 0.7]
3 [0; 6]
0 [0; 0]
0 [0; 0]
0.2 [0; 0.8]
4 [0; 12]
0.7 [0; 2.6]
30 [0; 117]
2.1 [0.6; 4.9]
43 [10; 105]
0.513
Transportation
1.8 [0.1; 4.6]
338 [30; 1,020]
4.4 [0; 17.3]
193 [0; 759]
0.9 [0.2; 1.8]
243 [17; 652]
0 [0; 0]
0 [0; 0]
0.2 [0; 0.4]
39 [4; 152]
0.175
Productivity loss
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
—
Global
11,410 [6,448; 21,693]
4,159 [2,201; 7,193]
12,443 [6,300; 21,863]
10,940 [5,643; 20,359]
5,726 [3,217; 11,350]
0.185
0 Canister (n = 316)
[1; 2] Canisters (n = 191)
[3; 5] Canisters (n = 140)
[6; 12] Canisters (n = 214)
>12 Canisters (n = 333)
18–75
Inpatient stays
2 [1.4; 3.9]
8,193 [6,370; 12,377]
2.4 [1.6; 5.7]
9,233 [6,451; 14,576]
1.6 [1.1; 2.7]
7,925 [5,676; 12,352]
2.2 [1.7; 2.9]
10,576 [8,424; 13,479]
3.9 [2.6; 6.4]
12,781 [10,770; 15,043]
<0.001
Medicine, surgery, obstetrics
1.5 [1.1; 2.4]
5,925 [4,764; 7,477]
2.1 [1.2; 5.1]
8,013 [5,473; 12,890]
1.4 [1; 2.2]
5,658 [4,052; 8,150]
1.7 [1.4; 2.2]
8,021 [6,463; 9,975]
3.5 [2.4; 5.8]
11,114 [9,357; 13,222]
<0.001
Respiratory system
0.4 [0.3; 0.5]
2,432 [1776; 3,913]
0.4 [0.3; 0.5]
2,714 [1,475; 6,986]
0.6 [0.4; 0.9]
2,251 [1,480; 3,633]
0.6 [0.5; 0.8]
3,151 [2,250; 4,589]
0.9 [0.7; 1.1]
5,018 [4,004; 6,485]
<0.001
Asthma-related
0.2 [0.2; 0.3]
961 [656; 1,492]
0.3 [0.2; 0.4]
1,678 [796; 4,576]
0.4 [0.3; 0.6]
1,189 [761; 1988]
0.4 [0.3; 0.6]
1797 [1,222; 2,592]
0.7 [0.5; 0.9]
2,981 [2,320; 3,892]
<0.001
Not related to the respiratory system
1.1 [0.8; 2]
3,493 [2,638; 4,567]
1.7 [0.8; 4.4]
5,299 [3,405; 10,327]
0.9 [0.5; 1.6]
3,407 [2,269; 5,130]
1.2 [0.9; 1.7]
4,870 [3,664; 6,488]
2.6 [1.4; 5]
6,096 [4,873; 7,650]
<0.001
Consultation
11.7 [10; 15.7]
246 [221; 277]
10.2 [8.9; 11.9]
260 [226; 314]
11 [9.1; 13.4]
281 [234; 365]
11.3 [9.7; 13.5]
253 [221; 296]
15 [13.3; 17.2]
384 [346; 443]
<0.001
General practitioner
8.7 [7.5; 10.4]
256 [211; 325]
9.5 [7.7; 14.4]
289 [232; 373]
8.3 [6.7; 10.6]
321 [233; 539]
7.8 [6.6; 9.4]
260 [211; 339]
11.5 [10; 13.9]
375 [317; 479]
0.003
Medical procedures
49.3 [31; 89.1]
590 [400; 866]
35.6 [23.4; 55]
455 [309; 760]
21.9 [12.8; 36.8]
372 [212; 678]
31 [20; 50.2]
350 [234; 547]
56.5 [41.2; 83.5]
761 [535; 1,272]
<0.001
Paramedical procedures
124.3 [110.2; 140.2]
1,579 [1,280; 2,258]
131.4 [114; 150.2]
1,400 [1,152; 1787]
127.8 [107.5; 155.7]
1763 [1,307; 2,772]
131.3 [115.6; 149.9]
1,620 [1,263; 2,332]
210 [191.6; 233.7]
2,752 [2,348; 3,280]
<0.001
Medications
21 [18; 24.2]
419 [324; 689]
25.4 [20.7; 31.8]
497 [370; 794]
29.2 [25.3; 34.6]
572 [453; 887]
34.8 [30.7; 40]
898 [590; 1,630]
64.9 [59.6; 72.3]
1,500 [1,204; 1952]
<0.001
Respiratory system
6.2 [5; 7.7]
613 [458; 854]
7 [5.6; 9]
604 [420; 877]
6.3 [4.6; 8.7]
691 [444; 1,127]
6.8 [5.5; 8.5]
581 [430; 811]
11.5 [9.8; 13.7]
1,063 [855; 1,311]
<0.001
Medical devices
1.5 [1; 2.2]
329 [219; 488]
0.9 [0.5; 1.5]
157 [82; 316]
1.3 [0.8; 2.2]
356 [188; 613]
1.6 [1.1; 2.5]
307 [194; 492]
2.6 [2; 3.4]
595 [447; 781]
<0.001
Respiratory assistance devices, home oxygen therapy
1 [0.7; 1.6]
19 [13; 29]
1.5 [1; 2.4]
32 [21; 55]
1.3 [0.8; 2]
33 [21; 51]
1.7 [1.2; 2.4]
45 [31; 65]
4.1 [3.4; 5]
105 [85; 132]
<0.001
Transportation
2.1 [1.6; 2.9]
309 [197; 531]
2.7 [1.9; 3.9]
360 [185; 1,138]
2.8 [1.8; 4.3]
284 [182; 461]
2.2 [1.6; 3.1]
269 [181; 434]
3.7 [3; 4.8]
547 [375; 898]
0.003
Productivity loss
4.1 [2; 8.6]
762 [510; 1,113]
3.3 [1.1; 9.2]
691 [346; 1,249]
5.3 [2.1; 14.9]
577 [273; 1,072]
9.1 [4.4; 17.7]
992 [624; 1,622]
11.7 [7.6; 17.8]
1,013 [749; 1,383]
0.090
Global
12,548 [10,220; 17,188]
13,292 [10,138; 18,986]
12,215 [9,180; 17,250]
14,902 [12,466; 18,135]
19,676 [17,393; 22,682]
<0.001
0 Canister (n = 890)
[1; 2] Canisters (n = 354)
[3; 5] Canisters (n = 331)
[6; 12] Canisters (n = 413)
>12 Canisters (n = 583)
>75
Inpatient stays
2.4 [2.2; 2.7]
11,020 [10,012; 12,134]
2.7 [2.3; 3.2]
12,137 [10,511; 14,105]
2.4 [2.2; 2.8]
10,292 [8,948; 11,751]
3.2 [2.7; 4.9]
13,721 [12,001; 15,748]
3.2 [2.7; 4.3]
12,888 [11,601; 14,573]
0.004
Medicine, surgery, obstetrics
1.8 [1.7; 1.9]
7,379 [6,777; 8,008]
1.9 [1.7; 2.2]
7,980 [7,050; 9,086]
1.9 [1.7; 2.1]
7,716 [6,764; 8,810]
2.6 [2.1; 4.7]
10,069 [8,976; 11,535]
2.7 [2.2; 3.7]
9,510 [8,632; 10,570]
<0.001
Respiratory system
0.6 [0.6; 0.7]
2,630 [2,288; 3,034]
0.8 [0.6; 0.9]
3,019 [2,480; 3,739]
0.8 [0.7; 0.9]
3,316 [2,775; 4,117]
1 [0.9; 1.2]
4,506 [3,785; 5,395]
1.1 [1; 1.3]
4,627 [4,052; 5,313]
<0.001
Asthma-related
0.3 [0.3; 0.4]
1,144 [957; 1,413]
0.4 [0.4; 0.6]
1712 [1,312; 2,304]
0.5 [0.4; 0.6]
1709 [1,340; 2,166]
0.6 [0.5; 0.7]
1990 [1,611; 2,462]
0.7 [0.6; 0.9]
2,521 [2,153; 2,964]
<0.001
Not related to the respiratory system
1.2 [1; 1.3]
4,748 [4,268; 5,279]
1.2 [1; 1.4]
4,960 [4,272; 5,880]
1 [0.9; 1.3]
4,401 [3,759; 5,164]
1.6 [1.1; 3.1]
5,563 [4,738; 6,581]
1.5 [1.1; 2.7]
4,884 [4,266; 5,639]
0.761
Consultation
14.8 [13.6; 16.6]
383 [362; 406]
20.6 [17.3; 29]
473 [434; 524]
16.7 [15.1; 19]
473 [438; 513]
17.7 [15.7; 21.3]
471 [437; 513]
18.5 [16.7; 22.1]
490 [461; 527]
<0.001
General practitioner
14 [13.1; 15.1]
289 [263; 323]
16.9 [15.4; 18.5]
332 [296; 371]
15.9 [14.4; 17.7]
328 [292; 379]
16.4 [14.9; 18.1]
359 [319; 419]
15.9 [14.8; 17.2]
338 [310; 367]
<0.001
Medical procedures
78 [68.9; 89.7]
1,286 [1,157; 1,457]
91.5 [76.6; 113.8]
1,454 [1,236; 1758]
81.8 [67.2; 102.8]
1,449 [1,194; 1807]
111.7 [86.8; 175.5]
1740 [1,451; 2,154]
103.9 [90.9; 121.7]
1795 [1,579; 2081]
<0.001
Paramedical procedures
145.8 [138.4; 153.6]
1,283 [1,187; 1,411]
185.2 [174.3; 197.4]
1806 [1,567; 2,255]
186.8 [175.1; 200.1]
1,592 [1,448; 1796]
198 [187.1; 210]
1753 [1,617; 1917]
221.5 [211.6; 232.5]
2,272 [2074; 2,573]
<0.001
Medications
19.3 [17.7; 21.3]
420 [367; 522]
27.9 [25; 31.9]
677 [536; 1,084]
29.7 [26.7; 33.5]
549 [497; 613]
38.1 [34.7; 41.8]
663 [609; 730]
57.9 [54.2; 61.9]
1,137 [1,012; 1,336]
<0.001
Respiratory system
10.8 [9.8; 11.9]
1,081 [969; 1,207]
14 [12.4; 15.7]
1,534 [1,319; 1803]
14.2 [12.5; 16.3]
1,346 [1,131; 1,618]
15.3 [13.7; 17.1]
1,557 [1,359; 1780]
18.5 [16.9; 20.2]
1821 [1,618; 2050]
<0.001
Medical devices
2.5 [2.1; 2.9]
532 [452; 638]
3.1 [2.6; 3.7]
709 [572; 893]
3 [2.4; 3.7]
620 [475; 794]
3.1 [2.5; 3.8]
734 [587; 920]
3.9 [3.4; 4.6]
968 [831; 1,131]
<0.001
Respiratory assistance devices, home oxygen therapy
1 [0.8; 1.4]
24 [19; 33]
2 [1.6; 2.6]
43 [34; 55]
2.2 [1.7; 2.8]
57 [42; 100]
3.2 [2.7; 3.9]
89 [72; 119]
5.1 [4.5; 5.8]
116 [102; 132]
<0.001
Transportation
4.5 4.1; 4.9]
439 [398; 489]
4.6 [4.1; 5.2]
500 [420; 644]
4.3 [3.7; 5.1]
437 [373; 550]
5 [4.4; 5.8]
563 [468; 766]
5.2 [4.7; 5.9]
608 [515; 819]
0.109
Productivity loss
0 [0; 0]
0 [0; 1]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0 [0; 0]
0.756
Global
15,781 [14,635; 17,006]
18,235 [16,404; 20,436]
15,918 [14,341; 17,759]
20,164 [18,283; 22,576]
20,212 [18,635; 21,872]
<0.001
The study period was 12 months prior to death. Global costs are indicated in bold.
In patients aged 18–75 years old, total medical costs were statistically higher when patients were dispensed more than 12 canisters (p < 0.0001). A difference was observed for medication costs, but also for all other cost components except for productivity loss. In patients aged 75+ years old, total medical costs were statistically higher in patients with a dispensation of six or more canisters (p < 0.0001). The cost differences were observed for all cost components except transportation and productivity loss.
Multivariate analysis of factors associated with highest costs
Three models were used for the multivariate analysis of factors associated with the highest costs, depending on the variables included in the regression (Figure 3). On the one hand, age and gender do not influence the cost of patients who died from asthma in all models. On the other hand, comorbidity index ≥1 and death at hospital were associated with the highest costs, regardless of the model. The increase in costs was between 2.04 and 2.06 times higher for a comorbidity index at 1 and between 3.10 and 3.11 times higher for a comorbidity index at 2, according to the three models (p < 0.0001 for both comorbidity indices). Costs were 1.91–1.93 times higher with death at hospital compared to other locations of death (p < 0.0001). Six or more SABA canisters were associated with the highest costs when ICS dispensation was not included in the analysis. In another model, patients with no ICS had, statistically, the lowest costs compared to patients with moderate or high doses of ICS when SABA dispensation was not included in the analysis. In a model including SABA and ICS dispensation, only 12 or more canisters of SABA were associated with the highest costs compared with no dispensation of SABA canisters (1.17 [1.05; 1.32], p = 0.006). Nevertheless, patients with medium and high ICS daily doses and patients with 6–11 SABA canisters tend to be costlier at the threshold boundary.
Forest plot of factors associated with the highest costs over 12 months prior to death in patients who died from asthma.
Discussion
In patients who died from asthma, total medical costs clearly increased over 24 months prior to death, particularly during the last 6 months prior to death. Over 24 and 12 months prior to death, total medical costs were €27,542 [26,545–28,641] and €16,815 [16,164–17,545], respectively. According to the mortality rate estimated at 0.13% (Supplementary Table S5), the cost per year of asthma death is €16,1 million in France. Costs increased with age, ICS dispensation, and SABA dispensation. According to a multivariate analysis, comorbidity index ≥1, death at hospital, and 12 or more SABA canisters within 12 months prior to death were independently associated with the highest costs (Table 4).
The annual cost of asthma in France ranges from €198 to €4,100, according to asthma severity (21). In Spain, the total annual mean cost of severe asthma rose to €8,554/patient (22). In our study, the total cost within 12 months prior to death in patients who died from asthma was much higher, i.e., €16,815 per patient (2–4 times the cost of severe asthma). Given that two-thirds of the total mean annual costs were due to inpatient stays, the economic burden of patients who died from asthma is mainly due to hospitalization. It has been described that the mean direct cost of severe asthma exacerbations was €758.7/exacerbation, but the mean cost increased by €4,997/exacerbation if only episodes requiring hospital admission were considered (23). It has been shown that an active program for asthma control in Brazil (specialized free medical care, pharmaceutical assistance (inhaled medication), and patient education) leads to a decline in asthma hospital admissions by 82.3% (24). We previously showed that a lack of referral to pulmonologists was observed in patients who died from asthma because less than 15% had a pulmonologist office visit within 12 months prior to death (17). Given that it has been shown that pulmonology office visits appear to reduce the risk of hospitalization for asthma (25), we hypothesize that an increase in referral may have an impact on the cost of asthma death. Indeed, the total cost of the outpatient visit component in our cohort was very low (2.3% of the total cost).
In our study, we show that the economic burden of patients who die from asthma increases with age. A systematic review mentioned that age was found to have an association with asthma costs, but there were conflicting reports (26). According to published data, it seems that extreme ages are associated with excess cost of asthma (27, 28). In the older adult, asthma-derived direct costs are double compared to younger asthma patients, mainly due to the higher costs of hospitalization and medication (29). To the best of our knowledge, there are no data on the impact of age on the economic burden of asthma death. According to the multivariate analysis in our study, age is not associated with the highest costs for patients who died from asthma. However, it seems that comorbidities are associated with the highest costs. Additional costs assessed for older people are related to comorbidity management. Indeed, it has been established that comorbidities account for 54% of the economic burden of severe asthma patients (30). In this study, other respiratory diseases and conditions related to mental, behavioral, neurodevelopmental, digestive, and neurological diseases were the most common comorbidities involved in the economic burden of asthma. Our study highlights the detrimental impact of comorbidities on the economic burden of patients who died from asthma. It is likely that comorbidities are a determining factor in hospitalization. Hospitalization costs and comorbidities are major factors in prolonged hospitalization.
In our study, costs increased with ICS dose prior to asthma death. However, after adjustment, including SABA dispensation, there was no excess of cost regarding the ICS dose. In the models including or not including ICS dose, 12 or more SABA canister dispensation were associated with the highest costs, even for costs not related to medication. It is now well established that over-prescription of SABA is associated with lower odds of controlled asthma and higher severe exacerbation rates, independent of maintenance therapy (31, 32). The overuse of SABA also leads to an excess of mortality (19, 33). In several randomized controlled trials, it has been shown that as-needed ICS-formoterol is more effective than SABA (34–37). It has also been shown that as-needed ICS-formoterol was more effective at preventing severe exacerbations than maintenance low-dose budesonide plus as-needed terbutaline (34). The database used in our study provides data on drug dispensation; however, we have no access to prescription. Consequently, we cannot know if ICS-formoterol was given as-needed or as maintenance therapy. However, our study was conducted before the recommendation of GINA on as-needed ICS-formoterol in mild asthma. For this reason, it is likely that the use of as-needed ICS-Formoterol was not widely used in France during the study period. Moreover, it is worth noticing that the recent French guidelines did not recommend the use of ICS-formoterol as needed in mild asthma (38). ICS-formoterol was only recommended for patients with ICS-formoterol in maintenance therapy. Regarding the economic burden, it has been described that SABA overuse represents greater costs for the Spanish National Health System (39). The impact of SABA dispensation on the economic burden of asthma death has never been described. According to our study, high SABA dispensation is associated with an excess cost, according to several cost components, and mainly for >12 SABA, even in patients who will die from asthma. As suggested in mild asthma, the use of as-needed ICS-formoterol would counterbalance not only the excess risk of death with SABA but also the costs associated with asthma death (40). It has also been described that systemic steroids have a detrimental effect on asthma patients. In our study, we did not include systemic steroids in the analysis because of the risk of bias. Indeed, systemic steroid prescription is not restricted to asthma exacerbations and can be used for a large variety of diseases. Systemic steroid use could reflect comorbidities more than asthma exacerbations.
Our study has limitations. The French health database cannot provide access to biological, functional, or radiological data. For this reason, we are not able to determine asthma phenotypes. This database only offers access to healthcare consumption. However, this database gives the opportunity to make a robust economic analysis of patients who died from asthma with medical costs and costs related to absence in the workplace and who receive a daily allowance from French healthcare insurance and no loss of follow-up in almost the whole French population. Another limitation is the lack of data on drug adherence. We collect data on drug dispensation, but we do not have information regarding drug compliance. Similarly, the prescriptions issued by physicians are not available in this database. Regarding the prescriptions of oral corticosteroids (OCS), the French healthcare database does not offer the possibility of knowing if comorbidities are related to OCS or if OCS were prescribed for asthma exacerbations. Considering the risk of bias, OCS were not included in the analysis. However, it could be interesting to specifically study the role of OCS-related comorbidities in the economic burden of asthma death. Finally, no data on socio-economic status are available in our study, whereas it is well established that the most deprived socio-economic status is more likely to be associated with uncontrolled asthma (41).
Conclusion
To conclude, the economic burden of asthma death is high and increases with age, ICS dose, and SABA dispensation. Our study also highlights that an increase in healthcare costs over time for asthma patients should alert them to the risk of asthma death. Specific studies on algorithm based on healthcare costs could help in the prediction of asthma death. Moreover, we suggest that prevention costs could be counterbalanced by cost-saving opportunities during the time prior to death from asthma. For example, the cost of referral to a specialist would counterbalance the cost of death and all healthcare resources used for asthma care. This should help the authorities to establish a prevention program according to our results.
In our study, in a multivariate analysis, only hospital as the location of death, comorbidities, and 12 or more SABA canister dispensations were associated with a significant higher cost. The excess cost of SABA over-prescription in asthma death should prompt the authorities to assess if SABA reduction with the use of as-needed ICS-formoterol could lead to decreased asthma death with cost-saving impacts. Moreover, at a clinical level, comorbidities should be taken into account in severe asthma patients’ evaluation. Moreover, the development of outpatient networks that would enable the continued management of asthma exacerbations and comorbidities should be a priority. Finally, the use of biologics should be particularly discussed in patients with comorbidities, given cost savings and death prevention.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by study protocol by the French National Ethics Committee (registration number TPS 578472). The protocol was also approved by the French Data Protection Authority (registration number 919303v1). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
LG: conceptualization, formal analysis, funding acquisition, investigation, methodology, project administration, supervision, validation, visualization, writing – original draft, writing – review and editing, data curation resources, and software. MM, AS, CCo, and NC: formal analysis, funding acquisition, methodology, project administration, supervision, validation, visualization, writing – original draft, writing – review and editing, data curation resources, and software. AD, CCa, and LR: methodology, project administration, validation, visualization, writing – original draft, and writing – review and editing. All authors contributed to the article and approved the submitted version.
Funding
AstraZeneca provided financial support for this study.
Conflict of interest
LG has been an investigator in clinical trials for AstraZeneca, MSD and Novartis, reports grants or consultation fees from AstraZeneca, GlaxoSmithKline, Novartis and Sanofi-Regeneron, and consultation fees from Bayer, Chiesi, MSD, not related to the work submitted. AD reports consultation fees from AstraZeneca, GlaxoSmithKline, Novartis, Sanofi-Regeneron, Chiesi, ALK and Stallergenes, not related to the work submitted. LR reports consultations fees from Argenx, Neovacs and Novartis, not related to the work submitted.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2024.1191788/full#supplementary-material
Abbreviations
CCI, Charlson comorbid index; ED, Emergency department; GP, general practitioner; ICS, inhaled corticosteroid; LABA, long-acting beta agonist; LTI, long-term illness; SABA, short-acting beta agonist; SNDS, Système National de Données De Santé (French national health insurance database).
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