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Erschienen in: BMC Health Services Research 1/2017

Open Access 01.12.2017 | Research article

Impact on healthcare resource utilization of multiple sclerosis in Spain

verfasst von: Antoni Sicras-Mainar, Elena Ruíz-Beato, Ruth Navarro-Artieda, Jorge Maurino

Erschienen in: BMC Health Services Research | Ausgabe 1/2017

Abstract

Background

Multiple sclerosis (MS) is a chronic disease with a high socioeconomic impact. The aim of this study was to assess healthcare resources utilization and costs in a sample of patients with MS.

Methods

A retrospective, cohort study was conducted using electronic medical records from 19 primary care centres in Asturias and Catalonia, Spain. Adult patients diagnosed with MS were distributed into two groups according to the Expanded Disability Status Scale (EDSS) score: 0–3.5 (no-moderate disability) and 4–9.5 (severe disability). Healthcare (direct cost) and non-healthcare costs (work productivity losses) were analysed. An analysis of covariance (ANCOVA) was used for correction, p < 0.05. A multiple regression model was performed to obtain the variables associated with costs.

Results

A total of 222 patients were analyzed; mean (SD) age: 45.5 (12.5) years, 64.4% female, and 62.2% presented a diagnosis of relapsing-remitting MS. Median EDSS score was 2.5, with 68.5% of the patients with no to moderate disability. The mean annual cost per MS patient was €25,103. For no-moderate and severe disability, the ANCOVA-adjusted mean annual cost was €23,157 and €29,242, respectively (p = 0.013). Direct costs and MS disease-modifying therapy accounted for 39.4% and 31.7% of the total costs, respectively. The total costs were associated with number of relapses (β = 0.135, p = 0.001), time since diagnosis (β = 0.281, p = 0.023), and age (β = 0.198, p = 0.037).

Conclusions

Multiple sclerosis imposes a substantial economic burden on the Spanish National Health System, patients and society as a whole. Costs significantly correlated with disease progression.
Abkürzungen
ACG
Adjusted clinical groups;
CIS
Clinically isolated syndrome
EDSS
Expanded disability status scale
ICD-9
International statistical classification of diseases
IPC-2
International classification of primary care
MS
Multiple sclerosis
PPMS
Primary progressive multiple sclerosis
RRMS
Relapsing-remitting multiple sclerosis
RUBs
Resource utilization bands
SD
Standard deviation
SPMS
Secondary progressive multiple sclerosis

Background

Multiple sclerosis (MS) is a chronic, autoimmune disease characterised by inflammation of the central nervous system that leads to demyelination, axonal loss and progressive neuronal degeneration [1]. A prevalence of 125 cases/100,000 inhabitants was found in Spain affecting mainly young adults [25].
Multiple sclerosis progresses from episodic attacks followed by periods of remission (relapsing-remitting MS [RRMS]) to a more progressive state (secondary progressive MS [SPMS]) in approximately 80% of patients [1]. Primary progressive MS (PPMS) accounts for 10% of the overall population with MS and differs from RRMS and SPMS patients, in that progression consists of gradual worsening of neurologic disability from symptom onset [1]. Disease progression is linked to the accumulation of disability, which overall, is faster for patients with PPMS than for patients with RRMS [1]. Current MS disease-modifying therapies (DMTs) are used with the aim of reducing the number of relapses, their severity, and slowing the disability’s progression [6].
The age of onset of MS is generally in the most financially productive time of the patients’ lives and consequently has a substantial economic burden on patients, their families, and society as a whole [710]. The European total annual cost of MS was €14.6 billion in 2010 (1.8% of the total annual economic cost of all brain disorders) [11]. A recent study involving 16,808 patients with MS in 16 European countries found that work capacity of MS patients declined from 82 to 8% with advancing disease, and utility declined from normal population values to less than zero [12]. Patients with PPMS present higher healthcare utilization than patients with SPMS and RRMS, due to different provider visits, emergency visits, and hospital admissions [13]. Disease-modifying therapies are the main cost drivers for patients with mild disease severity, while for those with more advanced disability these are production losses and informal care [10, 12].
Mental and neurological disorders also have a substantial economic impact in Spain (equivalent to almost 8% of the country’s GDP) with a mean yearly per-patient cost of €30,050 for MS patients [14, 15]. However, information about the use of healthcare resources and associated costs among patients with MS in Spain is limited. The objective of this study was to assess the healthcare resources utilization of MS patients in Spain according to the degree of disability in order to provide detailed and updated information about the economic burden of the disease.

Methods

Study design

This study was a secondary analysis of electronic health records from 19 primary care centres in two regions of Spain (Asturias and Catalonia). The investigational review board of the Fundació Unió Catalana d’Hospitals (Barcelona) approved the protocol.

Study population

Key inclusion criteria were: age ≥ 18 years, a diagnosis of MS (International Classification of Primary Care and International Statistical Classification of Diseases, ninth revision criteria), requiring medical care from 2010 to 2015, and being in the long-term prescriptions program with a follow-up of ≥2 records in the computer system [16, 17].

Disability assessment

The Expanded Disability Status Scale (EDSS) is a clinician-administered scale that is.
widely used in both clinical trials and routine clinical practice to assess the clinical severity and the functional impairment of MS [18]. The score is based on measures of impairment in eight functional systems: pyramidal, cerebellar, brainstem, sensory, bowel and bladder function, visual function, cognition, and ‘other’. Each functional system is scored on a scale of 0 (no disability) to 5 or 6 (severe disability). The overall EDSS score ranges from 0 to 10 with higher scores indicating increased levels of disability.

Demographic and clinical variables

The following demographic and clinical variables were collected: age, gender, type of MS (RRMS, PPMS, SPMS and clinically isolated syndrome [CIS]), time since diagnosis, comorbidity and pharmacological treatments using the Anatomical Therapeutic Chemical Classification System (ATC) [19]. The number of chronic diseases, the Charlson Comorbidity Index, and Case-mix Index obtained from the Adjusted Clinical Groups (ACG) were used to summarize general comorbidity [20, 21].

Healthcare resources and costs

Direct healthcare costs were those related to healthcare activity (medical visits, hospitalisation days, emergency visits, diagnostic or therapeutic procedures and medication) and indirect costs related to work productivity loss (days off work due to sick leave). The cost was expressed as mean cost per patient (annual mean). Healthcare resources (€, year 2014) are shown in Table 1 and are expressed as mean cost per patient (cost/unit). The unit costs were obtained directly from the study centres with the exception of medication costs and work productivity loss. Prescriptions (acute, chronic, or upon request) were quantified according to the recommended retail price per package at the time of prescription (Bot Plus database) [22]. The days absent from work were collected from a specific computer program managed by primary care physicians and quantified according to the official minimum wage salary (source: Instituto Nacional de Estadística-INE, Spanish National Statistics Institute) [23]. A sub-analysis of resource was performed in patients stratified by type of MS (RRMS vs. PPMS) using the above calculations.
Table 1
Use of healthcare resources and unit costs
 
Unit costs (EUR)
Medical visits
 Primary care
23.19
 Emergency care
117.53
 Hospitalisation (one day)
320.90
 Special carea
67.50
Additional tests
 Laboratory tests
22.30
 Conventional radiology tests
18.50
 Other diagnostic/therapeutic tests
47.12
Pharmaceutical prescription
Retail price/pack
Work productivity–indirect costs
 Cost per day of sick leave
79.4
Source of healthcare resources: own analytical accounts and INE. Values expressed in euros (year 2014). Retail price includes value-added tax. aNeurology visits

Statistical analysis

Demographic, clinical and economic variables were collected for the overall sample of valid patients and for stratified subgroups according to the EDSS score: no disability -moderate disability (0.0–3.5) and severe disability (4.0–9.5). A descriptive analysis was presented for all variables of interest with mean values, standard deviation (SD) and 95% confidence intervals (CIs). Normal data distribution was verified using a Kolmogorov-Smirnov test. Costs were compared by analysis of covariance (ANCOVA) of age, gender, RUBs, Charlson Comorbidity Index, and time since MS diagnosis (generalized linear model). The bivariate analysis included ANOVA, the chi-squared test, Pearson’s linear correlation, and comparison of means. A multiple linear regression model was used to evaluate the variables associated to the costs (stepwise method) including age, gender, RUBs, Charlson Comorbidity Index, time since MS diagnosis, and EDSS score. The Statistical Package for the Social Sciences-Windows (SPSSWIN) version 19 was used. A p-value < 0.05 was considered to be statistically significant.

Results

A total of 222 patients were included (Figure 1). The mean (SD) age was 45.5 (12.5) years and 64.4% were female. Prevalence of MS was 71 cases/100,000 inhabitants. Relapsing-remitting MS was the most common clinical form (62.2% of the patients). The median EDSS score was 2.5 (range: 1.0–8.5). The impact of comorbidity was significantly greater in the severe disability group vs. the no to moderate disability group: mean number of comorbidities (6.0 vs. 4.5; p = 0.001), Charlson Index (1.0 vs. 0.7; p = 0.005), and RUBs (3.2 vs. 2.9; p = 0.003). Demographic and clinical characteristics of the patients are shown in Table 2. Intramuscular interferon beta-1a (30.6%), subcutaneous interferon beta-1a (23.9%) and glatiramer acetate (18%) were the most common disease-modifying treatments administered.
Table 2
Demographic and clinical characteristics
 
EDSS 0–3.5
EDSS 4.0–9.5
Total
p-value
N = 152
N = 70
N = 222
 
Geographic regions in Spain, %
 Asturias
30.9
22.9
28.4
0,587
 Catalonia
69.1
77.1
71.6
0,827
Age, years, mean (SD)
42.5 (11.5)
52.2 (12.2)
45.5 (12.5)
<0.001
Gender, female, N (%)
68.4
65.7
64.4
0.292
Time since diagnostic, years, mean (SD)
10.5 (7.6)
19.8 (10.2)
13.4 (9.5)
<0.001
MS type, %
 RRMS
74.3
35.7
62.2
<0.001
 SPMS
13.8
50.0
25.2
<0.001
 PPMS
7.2
14.3
9.5
0.009
 CIS
4.6
0.0
3.2
<0.001
Relapses during follow-up
 Number of relapses, mean (SD)
0.4 (0.6)
1.2 (1.0)
0.7 (0.9)
<0.001
Proportion of population, N (%)
  ≥ 1
36.8
67.1
46.4
<0.001
 1
29.6
18.6
26.1
0.008
 2
6.6
40.0
17.1
<0.001
 3
0.7
8.6
3.2
0.790
Comorbidity, mean (SD)
 Number of comorbidities
4.5 (2.7)
6.0 (3.3)
5.0 (3.0)
0.001
 Charlson Index
0.7 (0.6)
1.0 (0.7)
0.8 (0.6)
0.005
 RUBs, mean
2.9 (0.8)
3.2 (0.7)
3.0 (0.8)
0.003
Proportion of population, N (%)
 1 (healthy o very low morbidity)
3.3
0.0
2.3
<0.001
 2 (low morbidity)
25.7
14.3
22.1
0.038
 3 (moderate morbidity)
52.0
54.3
52.7
0.873
 4 (high morbidity)
18.4
28.6
21.6
0.041
 5 (very high morbidity)
0.7
2.9
1.4
0.031
CIS clinically isolated syndrome, EDSS expanded disability status scale, MS multiple sclerosis, PPMS primary progressive MS, RRMS relapsing remitting MS, RUBs resource utilization bands, SD standard deviation, SPMS secondary-progressive MS

Healthcare resource use

Table 3 shows the mean annual use of healthcare resources by each disability group. Patients in the severe disability group, presented a significantly higher number of primary care medical visits (12.3 vs. 8.5; p < 0.001), specialised medical visits (3.0 vs. 2.3; p = 0.008), emergency room visits (2.0 vs. 1.2; p < 0.001), and hospitalisation days (5.6 vs. 1.3 days; p < 0.001) compared to patients in the no-moderate disability group. Mean (SD) work productivity losses were also significantly higher for the severe disability group vs. to the no-moderate disability group: 258.1 (162.0) vs. 160.9 (173.4) days, p < 0.001, respectively.
Table 3
Healthcare resource use and costs
 
EDSS 0–3.5
EDSS 4.0–9.5
Total
p-value
N = 152
N = 70
N = 222
 
Annual number per patient, mean (SD)
Medical visits, primary care
8.5 (5.7)
12.3 (5.7)
9.7 (6.0)
<0.001
Medical visits, specialists
2.3 (1.5)
3.0 (2.0)
2.5 (1.7)
0.008
Laboratory tests
2.8 (2.6)
3.7 (2.7)
3.1 (2.7)
0.010
Radiology tests
1.9 (2.5)
3.2 (2.6)
2.3 (2.6)
<0.001
Additional tests
1.6 (2.3)
3.4 (3.8)
2.2 (3.0)
<0.001
Hospitalisation days
1.3 (3.8)
5.6 (6.7)
2.7 (5.3)
<0.001
ER visits
1.2 (1.3)
2.0 (1.5)
1.5 (1.4)
<0.001
Work productivity losses, days
160.9 (173.4)
258.1 (162.0)
191.6 (175.5)
<0.001
EDSS Expanded Disability Status Scale, ER emergency room, SD standard deviation
Patients with PPMS showed a significantly higher frequency of additional tests use (other than laboratory and radiology tests), days of hospitalisations (both p ≤ 0.001), radiological tests use (p = 0.001), and specialised medical visits (p = 0.012) compared to RRMS patients (Table 4).
Table 4
Healthcare resource use and costs according to MS type
 
RRMS
PPMS
Total
p-value
N = 152
N = 70
N = 222
 
Annual number per patient, mean (SD)
Medical visits, primary care
8.9 (5.9)
10.0 (7.1)
9.1 (6.0)
0.426
Medical visits, specialists
2.3 (1.6)
3.3 (1.7)
2.4 (1.7)
0.012
Laboratory tests
2.9 (2.8)
3.3 (1.8)
3.0 (2.7)
0.589
Radiology tests
1.6 (2.0)
3.3 (2.2)
1.8 (2.1)
0.001
Additional tests
1.7 (2.6)
4.6 (4.1)
2.1 (3.0)
<0.001
Hospitalisation days
1.4 (4.0)
5.4 (6.3)
1.9 (4.6)
<0.001
Hospital emergencies
1.3 (1.3)
1.7 (1.8)
1.4 (1.4)
0.237
Work productivity losses, days
177 (174.1)
123.3 (175.2)
169.9 (174.7)
0.190
MS multiple sclerosis, PPMS primary progressive MS, RRMS relapsing remitting MS, SD standard deviation

Direct healthcare costs and indirect costs

Table 5 specifies the direct healthcare costs and indirect costs (unadjusted and adjusted values) by disability group. From the total costs, 34.7% were related to primary care and 4.8% to specialised care. Disease-modifying therapies accounted for 31.7% of the total cost.
Table 5
Direct healthcare and indirect annual costs per MS patient (in EUR) according to disability level
 
EDSS 0–3.5
EDSS 4.0–9.5
Total
P-value
N = 152
N = 70
N = 222
 
Unadjusted costs
Annual cost (€) per patient, mean (SD)
 Direct healthcare costs
9331.7 (5504.5)
11,112.2 (6649.9)
9893.2 (5932.7)
0.037
  Primary care
8614.7 (5199.4)
8887.5 (6178.4)
8700.7 (5514.1)
0.733
  Medical visits
197.0 (132.9)
285.6 (131.6)
224.9 (138.5)
<0.001
  Lab tests
61.3 (59.0)
83.5 (59.6)
68.3 (60.0)
0.010
 Conventional radiology
34.6 (45.6)
59.7 (48.0)
42.5 (47.8)
<0.001
  Supplementary tests
75.3 (110.5)
158.2 (181.4)
101.5 (141.8)
<0.001
  Medication
272.8 (173.4)
417.6 (193.1)
318.5 (191.6)
<0.001
  MS-specific drugs
7973.7 (5196.7)
7882.9 (6186.7)
7945.0 (5514.0)
0.910
  Specialised care
717.0 (1361.2)
2224.7 (2342.7)
1192.5 (1863.5)
<0.001
  Hospitalisations
418.0 (1211.5)
1792.5 (2147.8)
851.4 (1689.0)
<0.001
  Medical visits
156.8 (102.4)
200.6 (134.0)
170.6 (114.8)
0.008
 Emergency room visits
142.3 (156.9)
231.7 (180.1)
170.5 (169.4)
<0.001
Indirect costsa
12,775.0 (13,768.9)
20,495.4 (12,862.0)
15,209.4 (13,932.3)
<0.001
Total costs
22,106.8 (15,313.8)
31,607.6 (14,435.0)
25,102.5 (15,648.1)
<0.001
Adjusted costsb
  
Difference between unadjusted and adjusted costs
 
Annual cost (€) per patient, mean (95% CI)
Direct Healthcare costs
9124 (8100, 10,147)
11,476 (9988, 12,963)
2352
0.015
Primary care
8331 (7364, 9296)
9477 (8072, 10,881)
1146
0.205
Specialised care
793 (499, 1087)
1999 (1571, 2426)
1206
<0.001
Indirect costs (productivity)
14,033 (11,715, 16,351)
17,766 (14,395, 21,136)
3733
0.049
Total costs
23,157 (20,561, 25,753)
29,242 (25,467, 33,016)
6085
0.013
95% CI 95% confidence interval, EDSS expanded disability status scale, SD standard deviation. aIndirect costs: loss of work productivity. bANCOVA model: costs adjusted by covariables (age, gender, resource utilization bands [RUBs], Charlson comorbidity index, and time since diagnosis of the multiple sclerosis)
The total cost for the 222 study patients was 5.6 million euros, 39.4% of which were direct healthcare costs. The total annual mean cost (direct and indirect) per MS patient was €25,103. This mean cost was significantly higher in the severe disability (vs. no-moderate disability) group (€31,608 vs. €22,107 p < 0.001), predominantly due to a higher healthcare resource utilization, in particular primary care visits (12.3 vs. 8.5; p < 0.001).
In the adjusted model (ANCOVA) this mean (95% CI) difference in total cost was maintained: severe disability €29,242 (€25,467, €33,016) vs. no-moderate disability €23,157 (€20,561, €25,753); a statistically significant difference of approximately €6085 was observed (p = 0.013). In the multiple regression model, the total costs were associated to the number of relapses (β = 0.135, 95% CI 10.2–105.1, p = 0.001), time since diagnosis (β = 0.281, 95% CI -272.2-11.8, p = 0.023) and age (β = 0.198, 95% CI 3.1–195.2, p = 0.037). The EDSS score was included in the model but was not significant. The model’s coefficient of determination was 33.5%. There were no significant differences between the evaluated variables by geographical regions. It is worth noting that 50.5% of the patients in the whole sample were unemployed due to their disability.

Discussion

Multiple sclerosis is a chronic disabling disease that is associated with reduced quality of life and a high socioeconomic impact [7]. Physical disability at diagnosis is the main determinant of the economic burden, with 13% increased annual costs for each additional point from baseline EDSS [24]. In addition, the costs increase with more severe disability, especially when patients lose their upper limb function and independence (EDDS score > 7.0) [25].
The therapeutic landscape of treatment has changed dramatically over the last years. An increasing number of new drugs have recently shown encouraging results for the management of RRMS due to their proven higher efficacies compared to first-generation DMTs [6]. However, despite the availability of more treatment options, costs for all DMTs have increased substantially [10]. In addition, the early disease onset of MS has a significant impact on the patient’s most productive working years, leading to huge potential societal costs associated with this productivity loss [10]. Patients are less likely to be employed, are more likely to require time off work and to retire early compared to people without MS [7, 9, 12].
The impact on the costs of managing patients with MS is increasingly an area of interest [2629]. However, comparing costs between countries with different socioeconomic, cultural, epidemiological background, and different systems for organizing and funding healthcare is very difficult [12, 30].
This study shows an overall annual mean cost per MS patient of €25,103. This mean cost was significantly higher in patients with severe disability compared than those with no-moderate disability (€29,242 and €23,157, respectively; p = 0.013). Total cost was associated to the number of relapses, time since diagnosis, and age (p = 0.001, 0.023, and 0.037, respectively). Indirect costs and MS therapy accounted for 61% and 31.7% of the total costs, respectively.
In Spain, the available data for cost of MS is limited [12, 3134]. These findings concur with prior studies. In a cost-of-illness analysis based on information from 1848 patients, Kobelt et al. found that the total mean costs per patient were driven by the distribution of the disease severity levels [30]. Workforce participation decreased from approximately 70% in the early disease stages to less than 5% in the very late stages. Productivity losses increased more than eightfold in patients with an EDSS score of 0–1 vs. 8–9. In another study with a sample of 200 MS patients in Barcelona, Casado et al. found that the main drivers for direct costs were DMTs in low disability stages and caregiver costs in severe disability stages [32]. Overall, direct healthcare costs accounted for 60% of total cost; within these direct costs DMTs accounted for 78% in the early disability stages to 11% in the later disability stages. The correlation of disability with the increasing economic burden of MS was also shown in the TRIBUNE study [34]. The mean cost per patient per year was €20,659 for patients with mild disease severity, while patients with moderate MS incurred more than double that cost (€43,948). DMTs were the most expensive cost component for patients with mild and moderate disability (58% and 32%, respectively) [34].
Missing values and differences on diagnostic codification are usual limitations related to studies with population databases [35]. McDonald 2010 criteria were not used in the study because our healthcare database collected diagnosis following only IPC-2 and ICD-9 classifications. In addition, concomitant medications were not evaluated. This study did not include any non-healthcare direct costs, classified as “out-of-pocket” costs paid by the patient/family, as they were not recorded in the database. The only direct costs considered were those relating to the public health system and the area of influence of the patient. Another limitation was the absence of informal caregivers to calculate informal costs. Sick leave (temporary or permanent) may in turn be a limited indicator of indirect costs as premature death and informal costs were not considered. In addition, standard cost for sick leave should have been applied, rather than the specific costs depending on patients’ income. Despite these limitations, these results reflect the economic impact of MS and how these vary between different disability levels.

Conclusions

Patients with MS show high healthcare resource utilization and large work productivity losses that cumulatively impose a substantial economic burden on the healthcare system and society as a whole. This burden was enhanced upon disease progression.
Therefore, a more proactive management strategy, including earlier use of high-efficacy DMTs and close monitoring of the clinical and radiological response to treatment, is recommended to slow or halt the progression of physical and cognitive impairments in patients with MS [36, 37]. No evidence of disease activity is emerging as a new standard MS outcome and may be associated with improved long-term disability.
Additional research focusing on direct healthcare and indirect costs as well as standardised methodologies to calculate costs are necessary to determine the association between the disease evolution and economic burden.

Acknowledgements

None.

Funding

The study was funded by Roche Farma SA, Spain.

Availability of data and materials

The dataset of the current study is available from the corresponding author on reasonable request.

Author’s contributions

ASM, ERB, RNA and JM developed the research question. ASM designed the study, wrote the protocol and performed the statistical analyses. All authors contributed to and have approved the final manuscript.
The study protocol was approved by the investigational review board of the Fundació Unió Catalana d’Hospitals (Barcelona, Spain).
Not applicable.

Competing interests

ERB and JM are employees of Roche Farma SA. None of the other authors report any conflict of interest.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Vidal-Jordana A, Montalban X. Multiple sclerosis: epidemiologic, clinical, and therapeutic aspects. Neuroimaging Clin N Am. 2017;27:195–204.CrossRefPubMed Vidal-Jordana A, Montalban X. Multiple sclerosis: epidemiologic, clinical, and therapeutic aspects. Neuroimaging Clin N Am. 2017;27:195–204.CrossRefPubMed
2.
Zurück zum Zitat Howard J, Trevick S, Younger DS. Epidemiology of multiple sclerosis. Neurol Clin. 2016;34:919–39.CrossRefPubMed Howard J, Trevick S, Younger DS. Epidemiology of multiple sclerosis. Neurol Clin. 2016;34:919–39.CrossRefPubMed
3.
Zurück zum Zitat Otero-Romero S, Roura P, Solà J, Altimiras J, Sastre-Garriga J, Nos C, Vaqué J, Montalban X. Increase in the prevalence of multiple sclerosis over a 17-year period in Osona, Catalonia, Spain. Mult Scler. 2013;19:245–8.CrossRefPubMed Otero-Romero S, Roura P, Solà J, Altimiras J, Sastre-Garriga J, Nos C, Vaqué J, Montalban X. Increase in the prevalence of multiple sclerosis over a 17-year period in Osona, Catalonia, Spain. Mult Scler. 2013;19:245–8.CrossRefPubMed
4.
Zurück zum Zitat Candeliere-Merlicco A, Valero-Delgado F, Martínez-Vidal S, Lastres-Arias MDC, Aparicio-Castro E, Toledo-Romero F, Villaverde-González R. Prevalence of multiple sclerosis in Health District III, Murcia, Spain. Mult Scler Relat Disord. 2016;9:31–5.CrossRefPubMed Candeliere-Merlicco A, Valero-Delgado F, Martínez-Vidal S, Lastres-Arias MDC, Aparicio-Castro E, Toledo-Romero F, Villaverde-González R. Prevalence of multiple sclerosis in Health District III, Murcia, Spain. Mult Scler Relat Disord. 2016;9:31–5.CrossRefPubMed
5.
Zurück zum Zitat Fernández O, Fernández V, Guerrero M, León A, López-Madrona JC, Alonso A, Bustamante R, Tamayo JA, Romero F, Bravo M, Luque G, García L, Sanchís G, San Roman C, Romero M, Papais-Alvarenga M, de Ramon E. Multiple sclerosis prevalence in Malaga, southern Spain estimated by the capture-recapture method. Mult Scler. 2012;18:372–6.CrossRefPubMed Fernández O, Fernández V, Guerrero M, León A, López-Madrona JC, Alonso A, Bustamante R, Tamayo JA, Romero F, Bravo M, Luque G, García L, Sanchís G, San Roman C, Romero M, Papais-Alvarenga M, de Ramon E. Multiple sclerosis prevalence in Malaga, southern Spain estimated by the capture-recapture method. Mult Scler. 2012;18:372–6.CrossRefPubMed
6.
Zurück zum Zitat Torkildsen Ø, Myhr K-M, Bø L. Disease-modifying treatments for multiple sclerosis - a review of approved medications. Eur J Neurol. 2016;23(Suppl 1):18–27.CrossRefPubMed Torkildsen Ø, Myhr K-M, Bø L. Disease-modifying treatments for multiple sclerosis - a review of approved medications. Eur J Neurol. 2016;23(Suppl 1):18–27.CrossRefPubMed
7.
Zurück zum Zitat Ayuso GI. Multiple sclerosis: socioeconomic effects and impact on quality of life. Med Clínica. 2014;143(Suppl 3):7–12.CrossRef Ayuso GI. Multiple sclerosis: socioeconomic effects and impact on quality of life. Med Clínica. 2014;143(Suppl 3):7–12.CrossRef
8.
Zurück zum Zitat Rivera-Navarro J, Benito-León J, Oreja-Guevara C, Pardo J, Dib WB, Orts E, et al. Burden and health-related quality of life of Spanish caregivers of persons with multiple sclerosis. Mult Scler. 2009;15:1347–55.CrossRefPubMed Rivera-Navarro J, Benito-León J, Oreja-Guevara C, Pardo J, Dib WB, Orts E, et al. Burden and health-related quality of life of Spanish caregivers of persons with multiple sclerosis. Mult Scler. 2009;15:1347–55.CrossRefPubMed
9.
Zurück zum Zitat Bøe Lunde HM, Telstad W, Grytten N, Kyte L, Aarseth J, Myhr K-M, et al. Employment among patients with multiple sclerosis-a population study. PLoS One. 2014;9:e103317.CrossRefPubMedPubMedCentral Bøe Lunde HM, Telstad W, Grytten N, Kyte L, Aarseth J, Myhr K-M, et al. Employment among patients with multiple sclerosis-a population study. PLoS One. 2014;9:e103317.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Ernstsson O, Gyllensten H, Alexanderson K, Tinghög P, Friberg E, Norlund A. Cost of illness of multiple sclerosis - a systematic review. PLoS One. 2016;11:e0159129.CrossRefPubMedPubMedCentral Ernstsson O, Gyllensten H, Alexanderson K, Tinghög P, Friberg E, Norlund A. Cost of illness of multiple sclerosis - a systematic review. PLoS One. 2016;11:e0159129.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Olesen J, Gustavsson A, Svensson M, Wittchen H-U, Jönsson B. CDBE2010 study group, et al. the economic cost of brain disorders in Europe. Eur J Neurol. 2012;19:155–62.CrossRefPubMed Olesen J, Gustavsson A, Svensson M, Wittchen H-U, Jönsson B. CDBE2010 study group, et al. the economic cost of brain disorders in Europe. Eur J Neurol. 2012;19:155–62.CrossRefPubMed
12.
Zurück zum Zitat Kobelt G, Thompson A, Berg J, Gannedahl M, Eriksson J. New insights into the burden and costs of multiple sclerosis in Europe. Mult Scler. 2017;23:1123–36.CrossRefPubMedPubMedCentral Kobelt G, Thompson A, Berg J, Gannedahl M, Eriksson J. New insights into the burden and costs of multiple sclerosis in Europe. Mult Scler. 2017;23:1123–36.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Salter A, Thomas NP, Tyry T, Cutter GR, Marrie RA. A contemporary profile of primary progressive multiple sclerosis participants from the NARCOMS registry. Mult Scler. 2017; [Epub ahead of print] Salter A, Thomas NP, Tyry T, Cutter GR, Marrie RA. A contemporary profile of primary progressive multiple sclerosis participants from the NARCOMS registry. Mult Scler. 2017; [Epub ahead of print]
14.
Zurück zum Zitat Parés-Badell O, Barbaglia G, Jerinic P, Gustavsson A, Salvador-Carulla L, Alonso J. Cost of disorders of the brain in Spain. PLoS One. 2014;9:e105471.CrossRefPubMedPubMedCentral Parés-Badell O, Barbaglia G, Jerinic P, Gustavsson A, Salvador-Carulla L, Alonso J. Cost of disorders of the brain in Spain. PLoS One. 2014;9:e105471.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Fernández O, Calleja-Hernández MA, Meca-Lallana J, Oreja-Guevara C, Polanco A, Pérez-Alcántara F. Estimate of the cost of multiple sclerosis in Spain by literature review. Expert Rev Pharmacoecon Outcomes Res. 2017;17:321–33.CrossRefPubMed Fernández O, Calleja-Hernández MA, Meca-Lallana J, Oreja-Guevara C, Polanco A, Pérez-Alcántara F. Estimate of the cost of multiple sclerosis in Spain by literature review. Expert Rev Pharmacoecon Outcomes Res. 2017;17:321–33.CrossRefPubMed
16.
Zurück zum Zitat Lamberts H, Wood M, Hofmans-Okkes I. The international classification of primary Care in the European Community. With a multi-language layer. 2nd ed. Oxford: Oxford University Press; 1993. Lamberts H, Wood M, Hofmans-Okkes I. The international classification of primary Care in the European Community. With a multi-language layer. 2nd ed. Oxford: Oxford University Press; 1993.
18.
Zurück zum Zitat Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed
19.
Zurück zum Zitat World Health Organization. The anatomical therapeutic chemical ATC classification system. Geneva: World Health Organization; 1991. World Health Organization. The anatomical therapeutic chemical ATC classification system. Geneva: World Health Organization; 1991.
20.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.CrossRefPubMed
21.
Zurück zum Zitat Weiner JP, Starfield BH, Steinwachs DM, Mumford LM. Development and application of a population-oriented measure of ambulatory care case-mix. Med Care. 1991;29:452–72.CrossRefPubMed Weiner JP, Starfield BH, Steinwachs DM, Mumford LM. Development and application of a population-oriented measure of ambulatory care case-mix. Med Care. 1991;29:452–72.CrossRefPubMed
24.
Zurück zum Zitat Moccia M, Palladino R, Lazillo R, Triassi M, Brescia Morra V. Predictors of the 10-year direct costs for treating multiple sclerosis. Acta Neurol Scand. 2017;135:522–8.CrossRefPubMed Moccia M, Palladino R, Lazillo R, Triassi M, Brescia Morra V. Predictors of the 10-year direct costs for treating multiple sclerosis. Acta Neurol Scand. 2017;135:522–8.CrossRefPubMed
25.
Zurück zum Zitat Giovannoni G. Can we afford not to prevent MS-related disability? Mult Scler. 2017;23:1048–9.CrossRefPubMed Giovannoni G. Can we afford not to prevent MS-related disability? Mult Scler. 2017;23:1048–9.CrossRefPubMed
26.
Zurück zum Zitat Adelman G, Rane SG, Villa KF. The cost burden of multiple sclerosis in the United States: a systematic review of the literature. J Med Econ. 2013;16:639–47.CrossRefPubMed Adelman G, Rane SG, Villa KF. The cost burden of multiple sclerosis in the United States: a systematic review of the literature. J Med Econ. 2013;16:639–47.CrossRefPubMed
27.
Zurück zum Zitat Gyllesten H, Wiberg M, Alexanderson K, Norlund A, Friberg E, Hillert J, et al. Costs of illness of multiple sclerosis in Sweden: a population-based register study of people of working age. Eur J Health Econ. 2017; https://doi.org/10.1007/s10198-017-0894-6. [Epub ahead of print]. Gyllesten H, Wiberg M, Alexanderson K, Norlund A, Friberg E, Hillert J, et al. Costs of illness of multiple sclerosis in Sweden: a population-based register study of people of working age. Eur J Health Econ. 2017; https://​doi.​org/​10.​1007/​s10198-017-0894-6. [Epub ahead of print].
28.
Zurück zum Zitat Moccia M, Palladino R, Lazillo R, Carotenuto A, Russo CV, Triassi M, et al. Healthcare costs for treating relapsing multiple sclerosis and the risk of progression: a retrospective Italian cohort study from 2001 to 2015. PLoS One. 2017;12:e0169489.CrossRefPubMedPubMedCentral Moccia M, Palladino R, Lazillo R, Carotenuto A, Russo CV, Triassi M, et al. Healthcare costs for treating relapsing multiple sclerosis and the risk of progression: a retrospective Italian cohort study from 2001 to 2015. PLoS One. 2017;12:e0169489.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Karampampa K, Gustavsson A, Miltenburger C, Eckert B. Treatment experience, burden and unmet needs (TRIBUNE) in MS study: results from five European countries. Mult Scler. 2012;18(2 Suppl):7–15.CrossRefPubMed Karampampa K, Gustavsson A, Miltenburger C, Eckert B. Treatment experience, burden and unmet needs (TRIBUNE) in MS study: results from five European countries. Mult Scler. 2012;18(2 Suppl):7–15.CrossRefPubMed
30.
Zurück zum Zitat Marziniak M, Ghorab K, Kozubski W, et al. Variations in multiple sclerosis practice within Europe - is it time for a new treatment guideline? Mult Scler Relat Disord. 2016;8:35–44.CrossRefPubMed Marziniak M, Ghorab K, Kozubski W, et al. Variations in multiple sclerosis practice within Europe - is it time for a new treatment guideline? Mult Scler Relat Disord. 2016;8:35–44.CrossRefPubMed
31.
Zurück zum Zitat Kobelt G, Berg J, Lindgren P, Izquierdo G, Sánchez-Soliño O, Pérez-Miranda J, et al. Costs and quality of life of multiple sclerosis in Spain. Eur J Health Econ. 2006;7(Suppl. 2):S65–74.CrossRefPubMed Kobelt G, Berg J, Lindgren P, Izquierdo G, Sánchez-Soliño O, Pérez-Miranda J, et al. Costs and quality of life of multiple sclerosis in Spain. Eur J Health Econ. 2006;7(Suppl. 2):S65–74.CrossRefPubMed
32.
Zurück zum Zitat Casado V, Martínez-Yélamos S, Martínez-Yélamos A, Carmona O, Alonso L, Romero L, et al. Direct and indirect costs of multiple sclerosis in Baix Llobregat (Catalonia, Spain), according to disability. BMC Health Serv Res. 2006;6:143.CrossRefPubMedPubMedCentral Casado V, Martínez-Yélamos S, Martínez-Yélamos A, Carmona O, Alonso L, Romero L, et al. Direct and indirect costs of multiple sclerosis in Baix Llobregat (Catalonia, Spain), according to disability. BMC Health Serv Res. 2006;6:143.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Casado V, Romero L, Gubieras L, Alonso L, Moral E, Martinez-Yelamos S, et al. An approach to estimating the intangible costs of multiple sclerosis according to disability in Catalonia, Spain. Mult Scler. 2007;13:800–4.CrossRefPubMed Casado V, Romero L, Gubieras L, Alonso L, Moral E, Martinez-Yelamos S, et al. An approach to estimating the intangible costs of multiple sclerosis according to disability in Catalonia, Spain. Mult Scler. 2007;13:800–4.CrossRefPubMed
34.
Zurück zum Zitat Karampampa K, Gustavsson A, Miltenburger C, Mora S, Arbizu T. Treatment experience, burden and unmet needs (TRIBUNE) in MS study: results from Spain. Mult Scler. 2012;18:35–9.CrossRefPubMed Karampampa K, Gustavsson A, Miltenburger C, Mora S, Arbizu T. Treatment experience, burden and unmet needs (TRIBUNE) in MS study: results from Spain. Mult Scler. 2012;18:35–9.CrossRefPubMed
35.
Zurück zum Zitat Motheral B, Brooks J, Clark MA, Crown WH, Davey P, Hutchins D, et al. A checklist for retrospective database studies--report of the ISPOR task force on retrospective databases. Value Health. 2003;6:90–7.CrossRefPubMed Motheral B, Brooks J, Clark MA, Crown WH, Davey P, Hutchins D, et al. A checklist for retrospective database studies--report of the ISPOR task force on retrospective databases. Value Health. 2003;6:90–7.CrossRefPubMed
36.
Zurück zum Zitat Duquette P, Giacomini PS, Bhan V, Hohol M, Schecter R. Balancing early aggression against risk of progression in multiple sclerosis. Can J Neurol Sci. 2016;43:33–43.CrossRefPubMed Duquette P, Giacomini PS, Bhan V, Hohol M, Schecter R. Balancing early aggression against risk of progression in multiple sclerosis. Can J Neurol Sci. 2016;43:33–43.CrossRefPubMed
37.
Zurück zum Zitat Merkel B, Butzkueven H, Traboulsee AL, Havrdova E, Kalincik T. Timing of high-efficacy therapy in relapsing-remitting multiple sclerosis: a systematic review. Autoimmun Rev. 2017;16:658–65.CrossRefPubMed Merkel B, Butzkueven H, Traboulsee AL, Havrdova E, Kalincik T. Timing of high-efficacy therapy in relapsing-remitting multiple sclerosis: a systematic review. Autoimmun Rev. 2017;16:658–65.CrossRefPubMed
Metadaten
Titel
Impact on healthcare resource utilization of multiple sclerosis in Spain
verfasst von
Antoni Sicras-Mainar
Elena Ruíz-Beato
Ruth Navarro-Artieda
Jorge Maurino
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Health Services Research / Ausgabe 1/2017
Elektronische ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-017-2807-x

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