Literature DB >> 25133395

Cost of disorders of the brain in Spain.

Oleguer Parés-Badell1, Gabriela Barbaglia2, Petra Jerinic1, Anders Gustavsson3, Luis Salvador-Carulla4, Jordi Alonso2.   

Abstract

BACKGROUND: Brain disorders represent a high burden in Europe and worldwide. The objective of this study was to provide specific estimates of the economic costs of brain disorders in Spain, based on published epidemiological and economic evidence.
METHODS: A cost-of-illness study with a societal perspective of 19 brain disorders was carried out. Cost data published between 2004 and 2012 was obtained from a systematic literature review. Direct healthcare, direct non-medical and indirect costs were considered, prioritizing bottom-up information. All costs were converted to Euro and to year 2010. The missing values were imputed with European estimates. Sensitivity analyses based on qualitative assessment of the literature and on a Monte Carlo simulation were performed.
RESULTS: The review identified 33 articles with information on costs for 11 disorders (8 neurological, 3 mental). The average per-patient cost ranged from 36,946 € for multiple sclerosis to 402 € for headache. The societal cost of the 19 brain disorders in Spain in 2010 was estimated in 84 € billion. Societal costs ranged from 15 € billion for dementia to 65 € million for eating disorders. Mental disorders societal cost were 46 € billions (55% of the total), while neurological disorder added up to 38 € billion. Healthcare costs represented 37% of the societal costs of brain disorders, whereas direct non-medical constituted 29% and indirect costs 33%.
CONCLUSION: Brain disorders have a substantial economic impact in Spain (equivalent to almost 8% of the country's GDP). Economic data on several important brain disorders, specially mental disorders, is still sparse.

Entities:  

Mesh:

Year:  2014        PMID: 25133395      PMCID: PMC4136914          DOI: 10.1371/journal.pone.0105471

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Brain disorders, that is, mental and neurological disorders, constitute 10.4% of the global burden of disease [1] and are projected to represent 14.4% in 2030 [2]. According to the World Health Organization, they accounted for 3.3% of the global deaths of individuals aged 15–49 years in 2010 [3]. In Europe, brain disorders contributed with about one quarter to the total burden of disease, a much greater proportion in comparison with other regions of the world [4]. Societal costs were estimated to be 798 € billion [5]. In Spain, in 2008, 1.5 million DALYs were lost due to brain disorders [6]. The vast majority of that burden is caused by the years lost due to disability (93.1% of the total DALYs) other than years of life lost [7]. Similarly to other Southern European countries, Spain has had high levels of social cohesion, and reliance on informal care, in contrast to some northern European countries. Such characteristics are associated with relatively low rates of people living alone and may cause lower rates of healthcare costs for residential care [9]. But family's ability to carry most of the burden may be limited due to several sociodemographic changes, such as smaller family size, increasing female participation in the labour market and higher divorce rates [10]. At the same time, societal expectations about a longer and more functional life expectancy are also increasing [8]. The economic cost of diseases is becoming an ever more important determinant for health policies and decision making [11] and thus solid Spanish specific estimates are needed. Cost-of-illness studies are of particular interest as they describe costs of every item related to disease, accordingly exposing the main factors that contribute to the societal costs of diseases.

Aims of the study

Two previous systematic reviews concerning cost-of-illness of brain disorders in Europe included estimates for Spain: the EBC2005 [12] and the EBC2010 (Cost of disorders of the brain in Europe 2010) [5], [11]. In both cases the amount of literature found specifically containing cost information for Spain was scarce. We undertook a new Spanish-specific systematic review, with a broader dates span and the use of more databases, combined with the use of methods and data retrieved from the Cost of Disorders of the Brain in Europe 2010 study (EBC2010) [5]. The primary objective of our study was to provide the most updated and complete estimates of the economic costs of brain disorders in Spain, based on published epidemiological and economic evidence. Specific objectives were to estimate the societal cost per disorder and the per-patient cost; specifying direct and indirect costs in Spain for the year 2010.

Methods

A systematic review of the literature was performed in order to obtain economic data inputs for a cost-of-illness study. A societal perspective and a bottom-up approach were used to estimate the cost of each of the 19 brain disorders (Table 1). Societal and per-patient costs were calculated taking into account three categories of costs. Finally, two sensitivity analysis were performed.
Table 1

Diagnostic groups included in the review and corresponding ICD-10 codes.

Mental disordersICD-10 codesNeurological and neurosurgical disordersICD-10 codes
Addiction DementiaF00-F03
Alcohol dependenceF10.2EpilepsyG40
Cannabis dependenceF12.2HeadacheG44
Opioid dependenceF11.2Multiple sclerosisG35
Anxiety disorders Neuromuscular disordersG71, G61
AgoraphobiaF40.0G12.21
Generalized anxiety disorderF41.1Parkinson's diseaseG20
Obsessive-compulsive disorderF42StrokeI61, I63
Panic disorderF41.0I64, I67
Post-traumatic stress disorderF43.1
Social phobiaF40.1
Specific phobiasF40.2Brain TumorC70–72
Childhood and adolescence disorders D32–33
Conduct disorderF91.xD42–43
Hyperkinetic disorders/ADHDF90.xBrain traumatic injuryS06
Pervasive developmental disorders/autismF84.x
Eating disorders
Anorexia nervosaF50.0, F50.1
Bulimia nervosaF50.2, F50.3
Intellectual disability F70–F79
Mood disorders
Bipolar disordersF30, F31
Major depressionF32, F33
Personality disorders (PD)
Dissocial PDF60.2
Emotionally unstable PDF60.3
Psychotic disorders
Schizophrenia and other psychoticF2 x
disorders and syndromes
Sleep disorders
HypersomniaG47.1
NarcolepsyG47.3
Nonorganic insomniaF51.x
Sleep apneaG47.4
Somatoform disorders F45

Cost data - Systematic review

A literature search was carried out using the databases PubMed (MEDLINE), ISI Web of Science and SCOPUS. A filter by publication date was applied. All papers published between 1st of January 2004 and 1st June 2012 were included. The search terminology included strings for dates, Spain [13] and each of the 19 brain disorders. The search was conducted on September 2012. Studies were included if the following criteria was met: to incorporate descriptive information about cost or resource use; to report data of at least one type of cost; to study at least one of the brain disorders (Table 1); to include cost information form Spain; and to be written in English, Spanish or Catalan. Studies were excluded if economic data was available but could not extrapolated into a monetary form or could not be extrapolated to yearly per-patient costs. Articles reporting costs of patients in clinical trials were excluded. Title, abstract and full text review was performed by two reviewers. Title review was performed applying a low-threshold review method. Abstract and full text review inconsistences between reviewers were solved by a third reviewer. Data was extracted by two reviewers and differences were solved by consensus. Data concerning methodology, costs and specific disease were extracted. Methodology information included, among others, the perspective, the time scope, the currency and the year of costing. All per-patient costs stated in the included articles were extracted, but classified according to the categorization used in EBC2010. Two authors were contacted and provided additional data on identified articles [14], [15]. A grey literature review was performed using the databases Google, Tripdatabase, Teseo and Tesis Doctorals en Xarxa. The main strings of the systematic search were used. An e-mail was sent to 24 investigators identified in the scientific literature review inquiring for unrevealed grey literature. Four of them answered our request for relevant documents.

Epidemiological data

The number of patients with brain disorders in Spain was retrieved from the EBC2010 study epidemiological review, as reported elsewhere [4]. The prevalence data was stratified by age, gender and disease severity.

Methodological approach: Cost-of-illness

This study follows the cost-of-illness methodology used in the EBC2010 enabling to assign a monetary value to a disease cost using the epidemiological and economic information available for Spain [16]. A societal perspective is presented, taking a comprehensive approach to estimating direct and indirect costs [17]. The bottom-up method (identifying patients with the disease and collecting their individual cost) was prioritized over top-down method for cost collection. The per-patient cost is the average of the resource consumption of individual patients with a given disorder in a given time period. In this study, per-patient costs of each disorder, retrieved from the systematic review, were considered in three categories: (1) direct health care costs included inpatient care, outpatient care, drugs and medical procedures and devices costs; (2) direct non-medical costs comprised informal care, adaptation costs and transportation costs; and (3) indirect costs were restrained to permanent or temporal absence from work and early retirement. Indirect costs due to premature mortality, intangible costs and costs of crime were excluded because of lack of data or valuable methods. Indirect costs were valued using the human capital approach. Costs related to research were also excluded. A year-prevalence approach was used to estimate the costs of the total number of cases of each disorder in the year 2010, in other words, the societal costs, that reflect the resource consumption of the overall population imputable to a disorder, in a given time period. As published elsewhere [5], the prevalence estimates where based in population aged 18 years and above in most disorders. For addictive disorders and anxiety disorders the age span went from 14 to 65 years and for child and adolescent disorders from 2 to 17 years. In the case of dementia only people over 65 years were considered.

Data analysis

The consumer price index (CPI) for all-items [18] was used for adjustment by inflation when costs data obtained in the systematic review did not concern the year 2010. Estimates presented in currencies other than Euro were converted to Euro using nominal exchange rates from the European Central Bank [19]. Whenever cost information of a particular disorder was impossible to obtain from our literature review, the European median from EBC2010 [5] was imputed to our data. European medians had been adjusted for income, health care expenditure and wage level across countries. The prevalence ratios were multiplied by the number of inhabitants in Spain in order to calculate the number of patients with each disorder. According to Eurostat, Spain had almost 46 million inhabitants in 2010 [20]. The number of patients with each disorder was multiplied by the specific estimates of the per-patient cost. Indirect costs were only applied to the working population (between 18 and 65 years) unless the indirect costs estimates were actually presented as an average of the total population of all ages. Finally, our analysis included the calculation of the un-weighted mean of every cost whenever there were multiple studies for one disorder. The estimates of each type of costs were added up to obtain the per-patient cost of each disorder. Per-patient cost was multiplied by the number of patients with the disorder, for every one of the 19 disorders, to calculate the total societal cost. In addition, the distribution by types of cost was calculated by adding up all disorders direct healthcare costs, direct non-medical costs and indirect costs separately. This was performed for all disorders and stratified by mental and neurological disorders.

Sensitivity analysis

Two sensitivity analyses were performed separately. First, a questionnaire [21] was used to assess the quality of the 33 papers included. Five items were evaluated: (1) Is the perspective of the analysis clearly specified? (2) Is the choice of study design properly justified? (3) Are all relevant costs and effects included? (4) Are they assessed and measured adequately? (5) Is uncertainty assessed using a sensitivity analysis or other techniques? Quality assessment was performed by two reviewers and solved by consensus. Sensitivity analysis was based on the replication of the analysis using only the articles that were considered to provide high quality information. A second sensitivity analysis consisted in a Monte Carlo simulation [22] to control for the uncertainty generated by obtaining the cost data from different studies, allowing to make probabilistic estimates of the costs. Monte Carlo simulation is based in (1) the selection of the probabilistic distribution that best fit the variables and (2) a large number of random samples obtained from these distributions; yielding a statistical output. For our specific analysis we assumed triangular distributions that included the maximum, the minimum and the median observations of every type of cost (direct healthcare, direct non-medical and indirect costs) for the 7 disorders (dementia, epilepsy, headache, mood disorders, multiple sclerosis, and Parkinson's disease) that had more than one article included. For every disorder and cost, the minimum and the maximum were the lowest and the highest costs provided by any of the articles included in the review. The mean per-patient cost between the articles was fixed as the most probable value in the triangular distribution. One thousand iterations (random samples) were used to obtain the statistical outputs.

Results

Systematic review

The search and screening process is summarised in Figure 1. The cost data literature review resulted in 33 relevant cost studies identified for 11 disorders (Table 2): anxiety disorder [23], dementia [24]–[31], epilepsy [32], [33], headache [15], [34], [35], mood disorders [36]–[40], multiple sclerosis [14], [41]–[43], Parkinson's disease [24], [44], psychotic disorders [45], [46], stroke [24], [47]–[50] and neuromuscular diseases [51]. Two articles were excluded from de model because they presented outlier estimations for stroke [52], [53] and traumatic brain injury [52].
Figure 1

Flow of studies through the review process.

Table 2

Summary of included articles and per-patient costs as stated in the article.

ArticleDisorder groupDisorderYear of costingCurrencyDirect health-care costsDirect non-medical costsIndirect costsTotal costs
Rovira, et al. (2012)Anxiety disordersGeneralized anxiety disorder2006Euro1,2061624,4515.819
Coduras, et al. (2010)DementiaAlzheimer's disease2006Euro4,27212,70816.980
Lopez-Bastida, et al. (2006)DementiaAlzheimer's disease2001Euro3,28924,28162828.198
Lopez-Pousa, et al. (2004)DementiaAlzheimer's disease2001Euro6,6496.649
Sicras, et al. (2005)DementiaAlzheimer's disease2003Euro5,70615,44421.150
Turro-Garriga, et al. (2010)DementiaAlzheimer's disease2006Euro8,2128.212
Gustavsson, et al. (2011)DementiaAlzheimer's disease2007Pounds4,18918,50422.693
Sicras, et al. (2005)DementiaVascular dementia2003Euro6,09020,03426.124
Oliva, et al. (2007)DementiaAlzheimer's disease2002Euro11,11011.110
Wimo, et al. (2007)DementiaAlzheimer's disease2005US dollar6,21914,98921.208
Sancho, et al. (2008)EpilepsyEpilepsy2005Euro4,9822551,6186.855
Villanueva, et al. (2012)EpilepsyEpilepsy2010Euro3,8439514.794
Badia, et al. (2004)HeadacheMigraine2001Euro19854252
Bloudek, et al. (2012)HeadacheMigraine2010Euro1,2171.217
Linde, et al. (2012)HeadacheMigraine2010Euro130257387
Linde, et al. (2012)HeadacheTension type headache2010Euro192645
Linde, et al. (2012)HeadacheMedication overuse headache2010Euro4048731.277
Linde, et al. (2012)HeadacheOther headaches2010Euro22022
Salvador-Carulla, et al. (2011)Mood disordersUnipolar/major depression2006Euro4,0021,3465.348
Sicras-Mainar, et al. (2012)Mood disordersUnipolar/major depression2009Euro6201,2751.895
Sicras-Mainar, et al. (2010)Mood disordersUnipolar/major depression2006Euro1,5791,8103.389
Serna M, et al. (2007)Mood disordersUnipolar/major depression2004Euro335268603
Gonzalez-Pinto, et al. (2010)Mood disordersBipolar disorders2003Euro283
Kobelt, et al. (2006)Multiple sclerosisMultiple sclerosis2005Euro12,14212,5408,14532.827
Arroyo, et al. (2011)Multiple sclerosisMultiple sclerosis2009Euro9,8955,51015.405
Casado, et al. (2006)Multiple sclerosisMultiple sclerosis2004Euro7,77521,29716,61845.690
Karampampa, et al. (2012)Multiple sclerosisMultiple sclerosis2009Euro15,9585,2357,73228.925
Cubo, et al. (2009)Parkinson's diseaseParkinson's disease2004Euro7,3803,8178,23519.432
Oliva, et al. (2007)Parkinson's diseaseParkinson's disease2002Euro4,255
Olivares, et al. (2008)Psychotic disordersPsychotic disorders2005Euro5,569
Vazquez-Polo, et al. (2005)Psychotic disordersPsychotic disorders1999Euro3,989
Beguiristain, et al. (2005)StrokeStroke2002Euro5,0485.048
Hervas-Angulo, et al. (2006)StrokeStroke2004Euro2,2711,8634264.560
Mar, et al. (2011)b StrokeStroke2008Euro16,34110,93227.272
Sicras, et al. (2008)StrokeStroke2006Euro1,5911.591
Oliva, et al. (2007)StrokeStroke2002Euro4,4784.478
Hervas, et al. (2007)b StrokeStroke2004Euro21,55121.551
Navarrete-Navarro, et al. (2007)StrokeStroke2004Euro1,4255,5377417.703
Hervas-Angulo, et al. (2006)a StrokeStroke2004Euro4,4701,2895726.331
Navarrete-Navarro, et al. (2007)a StrokeStroke2004Euro5,1736,4202,34713.940
Lopez-Bastida, et al. (2009)Neuromuscular disordersAmyotrophic lateral sclerosis2004Euro8.01819.6028.57536.195
Mar, et al. (2011)Traumatic brain injuryTraumatic brain injury2008Euro11.1098.91420.023

Information provided by the article is incidence based, not prevalence based.

outlier article excluded from the model.

Information provided by the article is incidence based, not prevalence based. outlier article excluded from the model. A total of 2,936 grey literature documents were reviewed, but only two grey documents were found to be eligible for this review [54], [55]. In both cases information had also been published as scientific articles (that had already been identified in the scientific literature review), which were used for data extraction.

Per-patient cost

The estimated per-patient cost is displayed in Figure 2 (distribution) and Table 3 (numerals). The mean yearly per-patient cost was 2,440 €, although there was a wide variation depending on the diagnosis (ranging from 402 € for headache to 36,946 € for multiple sclerosis). The mean per-patient cost of mental disorders was higher (2,494 €) than that of neurological disorders (2,378 €). Nonetheless, when headache, a low-cost highly prevalent disorder, was not taken into account mean per-patient cost of neurological disorders was 16,309 €.
Figure 2

Per-patient cost by disorder and types of costs in Spain (€, 2010).

Table 3

Number of people, per-patient cost and societal cost by type of costs for all disorders in Spain 2010.

Per-patient cost (€, 2010)Societal costs (€ million, 2010)
Number of patientsDirect healthcare costsDirect non-medical costsIndirect costsTotalDirect healthcare costsDirect non-medical costsIndirect costsTotal
Addictiona 1,437,5601,3358671,315 3,517 1,9191,2471,890 5,056
Anxiety disorders6,238,49968924948 1,661 4,3001505,914 10,365
Brain tumora 20,69512,42806,826 19,254 2570141 398
Child/Adolescent disordersa 480,0743923,0210 3,413 1881,4500 1,638
Dementia608,7115,83019,4730 25,303 3,54911,8530 15,402
Eating disordersa 131,0493644590 499 48612 65
Epilepsy225,3464,7346191,827 7,180 1,067140412 1,618
Headache13,909,1252330168 402 3,24402,341 5,585
Intellectual disabilitya 376,7776,4093,2030 9,612 2,4151,2070 3,622
Mood disordersc 3,002,7251,5144691,601 3,584 4,5461,4104,807 10,763
Multiple sclerosis36,19312,29112,49512,160 36,946 445452440 1,337
Neuromuscular disordersd 23,0034,6053,22714,185 22,016 10674326 506
Parkinson's disease79,7898,6144,8669,612 23,091 687388767 1,842
Personality disordersa 396,5326975833,979 5,259 2762311,578 2,085
Psychotic disordersb 453,6505,870011,705 17,576 2,66305,310 7,973
Sleep disordersa 4,072,2653960284 680 1,61101,158 2,769
Somatoform disordera 1,852,4054260465 891 7890861 1,650
Stroke644,0253,4619,032835 13,329 2,2295,817538 8,584
Traumatic brain injurya 335,2602,4128304,183 7,426 8092781,403 2,489
Total 34,323,684 908 720 813 2,440 31,149 24,703 27,897 83,749

European imputation was used for all costs.

European imputation was used for indirect costs.

European imputation was used for unipolar depression direct non-medical costs and bipolar disorder indirect and direct non-medical costs.

European imputation was used for neuromuscular disorders except for amyotrophic lateral sclerosis.

European imputation was used for all costs. European imputation was used for indirect costs. European imputation was used for unipolar depression direct non-medical costs and bipolar disorder indirect and direct non-medical costs. European imputation was used for neuromuscular disorders except for amyotrophic lateral sclerosis.

Societal costs

The societal cost of brain disorders in Spain 2010 was estimated at 84 € billion. Based on a total number of citizens in Spain of almost 46 million, the average cost of brain disorders per inhabitant per year in Spain was 1,725 €. Societal costs by disorder and cost type are shown in Figure 3 (distribution) and Table 3 (numerals). The most costly brain disorder in Spain was dementia with 15,402 € million.
Figure 3

Societal cost by disorder and types of costs in Spain (€ million, 2010).

Distribution of the type of costs

Mental disorders accounted for 46 € billion, representing 55% of the societal costs of all brain disorders considered. Societal costs of neurological disorders added up to 38 € billion (45% of the total). Dementia was the most costly disorder, accounting for almost 20% of the societal costs. Overall, the majority of the estimated costs of brain disorders (Figure 4) were direct healthcare costs (37%) while direct non-medical costs constituted 29% and indirect costs 33%. Within neurological disorders direct non-medical costs constituted 50% of the costs, indicating a high dependence on informal care. On the contrary, mental disorders were driven mainly by indirect costs (47%), followed by direct healthcare costs (41%).
Figure 4

Distribution of types of costs in brain disorders, neurological disorders and mental disorders.

Sensitivity analyses

Quality assessment

Among the articles included in the review, 15 were deemed to be high quality articles. For psychotic disorders no high quality information was found, whereas for epilepsy and neuromuscular disorders all articles included were considered high quality articles. For five disorders costs were recalculated using only the high quality articles stated: dementia [24], [30], [31], headache [15], [35], mood disorders [36], multiple sclerosis [14], [41], [42], Parkinson's disease [24] and stroke [47], [48], [50]. Costs were recalculated using the same methods but only high quality articles for six disorders, of which five resulted in higher estimates. Societal costs estimations increased in 509 € million for dementia; 6,827 € million for mood disorders; 109 € million for multiple sclerosis 33 € million for Parkinson's disease and 245 € million for stroke. A diminish of the estimation was only observed in headache, with a decrease of 1,562 € million. Taking all disorders into account, societal costs for brain disorders were estimated to be 86 € million, an increase of 6,161 € million, an additional 8%. In terms of per-patient cost, the increase was an average of 179 € per patient.

Monte Carlo simulation

The Monte Carlo simulation outputs were meant to show the inherent uncertainty of our estimations, driven by the use of different articles as our data source on cost information. Following, with a probability of 90%, the distribution of the per-patient costs for each disorder is shown: dementia 31,787 € (90% CI: 25,697 – 39,119); epilepsy 7,180 € (90% CI: 6,517 – 7,821); headache 432 € (90% CI: 317 – 566); mood disorders 4,238 € (90% CI: 2,763 – 5,999); multiple sclerosis 39,929 € (90% CI: 32,401 – 48,814); Parkinson's disease 23,091 € (90% CI: 22,810 – 23,371) and stroke 17,072 € (90% CI: 9,547 – 25,948). When the 7 disorders were analysed together, the Monte Carlo simulation showed that with a probability of 90% the median per-patient cost ranged from 1,696 € to 4,392 €. The probability of a median per-patient cost above 3,000 € was 36.5%. In comparison with the mean observed costs, the ones obtained through simulation were a 14.8% higher.

Conclusion

Main study findings

The present study shows that the economic burden of brain disorders in Spain was almost 84 € billion, mental disorders accounted for 46€ billon and neurological disorders for 38€ billion. This total figure corresponds to nearly 8% of the gross domestic product of Spain and surpasses the public healthcare expenditure of Spain, which was about 64 € billion in 2010 [54]. Brain disorders had a societal cost of about ten times higher than that of cardiovascular diseases (estimated at 7 € billion in Spain in 2003 [55]) or diabetes (close to 8 € billion in 2009 [56]). Although caution is needed due to differences in costing methodologies, brain disorders exceeded the economical weight of two of the most burdensome diseases in Spain.

Strengths and weaknesses of the study

Our estimates were obtained through a previously tested method that permits the use of all evidence even if the articles included in the review used different methodologies or if only partial information was available. Our method offers comparable estimates across brain disorders and types of costs [5]. On the other hand, a number of limitations must be taken into account. First, double counting is likely to have occurred. This is reflected on the total number of individuals with one brain disorder, which was a sum of the number of patients for every disorder but did not take into account that some of these disorders coexist in the same individual. While we did not consider overlap between any pair of disorders, the original articles did evaluate the excess cost of a given disorder to the extent possible, linking expenditures to a singular disorder and taking into account the additional cost that a person with the disorder causes, irrespective of whether they have any other disorders or not. Second, the costs reported by the articles included in this review are dependent on the sampling of patients. Samples should be representative of the general population in the proportion of mild and severe cases. In this review, costs were obtained by the un-weighted mean of the costs stated in the original articles, but our data included a relatively small number of studies for some diagnostic categories with, sometimes, small number of patients. Thus, the relative distribution of mild and severe cases in each disorder may be exaggerating cost differences across disorders. Third, we did not find any information about the costs of 9 disorders, so we had to impute the European median values [5]. Such values may not correspond to the real costs for Spain, although it is unclear whether they would be higher or lower. Fourth, there are no international guidelines for cost-of-illness analyses, which hampers the use of quality standards for the assessment of available literature and the international comparison in contrast with other areas of health economics such as cost-effectiveness analysis. Conversely, we are certain that our results systematically underestimate the costs of brain disorders, based on a number of considerations. One is that there were no estimates for Spain neither from any European country on direct non-medical costs for brain tumors, headaches, psychotic disorders, sleep disorders and somatoform disorders, and on indirect costs for intellectual disability. These concepts could not be included in the final estimates, resulting in an underestimation of the total costs. Also, indirect costs for disorders in children and adolescents as well as for dementia were assumed to be null because we presumed affected people were not part of the working population. We also underestimated the societal costs of brain disorders since intangible, crime related and mortality costs were not assessed. And also because some less prevalent (but sometimes more costly) disorders [5] could not be included in our study due to lack of data. In conclusion, our results provide a conservative estimate of the costs of brain disorders in Spain, as supported by the results of our sensitivity analyses.

Comparison with previous studies

Our societal costs estimates of 83,749 € million due to brain disorders in Spain are consistent but an 8% higher than the estimates for our country provided by the EBC2010 estimates for Spain [5]. Higher estimates in our study are attributable to the inclusion of more recent articles in the review that take into account the increase of medical, pharmacological and informal care costs over the years. Specifically, our review identified 20 relevant studies for Spain that were not taken into account in EBC2010. Also of notice is the fact that European and Spanish costs distribution diverge. In Spain direct non-medical costs were proportionally more important than in Europe, while indirect costs tended to be lower. A previous study [57] estimated the socioeconomic costs of mental illness in Spain to total 7,018 € million in 2002. Our estimation was sixfold higher, 45,986 € million. That study used a top-down approach using administrative data from only the Canary Islands not disaggregated by disorder. It is likely that methodological differences on the types of costs and number of disorders considered explain results differences. Specific estimates for other European countries have been published using the same methodology of ours [58]–[60] and results differ somewhat. The most (dementia) and least (headache) costly disorders are concordant across countries, but the societal costs vary. For instance, the mean per-patient cost of brain disorders in Spain was 2,440 € while in Switzerland it was 2,624 €. This difference is consistent with the higher health expenditure of Switzerland.

Policy implications

Despite limitations, the results of this study should be useful for policymakers. One of the “grand challenges” [61] for brain disorders is to reduce the cost of effective medication and to provide effective and affordable community-based care and rehabilitation. To compare future policies for the reduction of costs associated with mental and neurological disorders with the present policies will only be possible if economic evaluation studies have been endorsed. While cost-of-illness studies have been criticized for not permitting to establish whether a country is spending too much or too little on a disease, they can help to inform decisions concerning allocation of funding. They can do so by providing a measure of the economic burden of particular health problems [55]. They can neither predict if higher resource allocation entails higher health earnings, but they enable a global vision of what is currently being spent, and what kind of costs are more relevant, being a useful tool for financial planning. Several regional health authorities in Spain have recently shown interest in including costs-of-illness studies to support planning of their health budgets [62]. In addition, the Spanish Ministry of Health has included within its disease management plans estimations of the cost-of-illness for diabetes mellitus, ischemic heart disease and cancer [57]. It has also funded cost studies of neurological diseases but not of mental diseases. These studies have not even been considered in the national mental health strategy which may explain the unbalance of available information between mental and neurological disorders in Spain [63].

Further research

The vast economic burden of brain disorders and the policy implications emphasize the need of increased efforts in research. Gaps on knowledge on cost-of-illness of mental disorders and some neurological disorders should be addressed in the near future, when costs are likely to increase due to the aging population and the higher prevalence of degenerative disorders and associated disability. Moreover, as many other national health systems, the Spanish healthcare system is under restructuration through a new legislation [64], changes in organization and structures [65] and the effects of the economic crisis. Cost-of-illness studies on brain disorders with different societal, healthcare system and patient perspectives, as well as their distribution within the Spanish society should be accomplished for a better evaluation of policy changes.
  55 in total

1.  Predictors of costs of care in Alzheimer's disease: a multinational sample of 1222 patients.

Authors:  Anders Gustavsson; Per Brinck; Niklas Bergvall; Katarzyna Kolasa; Anders Wimo; Bengt Winblad; Linus Jönsson
Journal:  Alzheimers Dement       Date:  2011-05       Impact factor: 21.566

2.  An analysis of the costs of treating schizophrenia in Spain: a hierarchical Bayesian approach.

Authors:  Francisco-Jose Vázquez-Polo; Miguel Negrín; Juan M Cabasés; Eduardo Sánchez; Joseph M Haro; Luis Salvador-Carulla
Journal:  J Ment Health Policy Econ       Date:  2005-09

3.  Costs of depression in Catalonia (Spain).

Authors:  Luis Salvador-Carulla; Murielle Bendeck; Anna Fernández; Constança Alberti; Ramón Sabes-Figuera; Cristina Molina; Martin Knapp
Journal:  J Affect Disord       Date:  2011-03-12       Impact factor: 4.839

4.  Retrospective observational study of the management of multiple sclerosis patients with resistant spasticity in Spain: the '5E' study.

Authors:  Rafael Arroyo; Carlos Vila; Steve Clissold
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2011-04       Impact factor: 2.217

5.  [Morbidity and costs associated with depressive syndrome in stroke sufferers in a population].

Authors:  A Sicras Mainar; R Navarro Artieda; M Blanca Tamayo; J Rejas Gutiérrez; J Fernández de Bobadilla
Journal:  Farm Hosp       Date:  2008 Nov-Dec

6.  [Cost relation between severity of Alzheimer's disease and cognitive and functional impairment].

Authors:  Secundino López-Pousa; Josep Garre-Olmo; Antoni Turon-Estrada; Francisco Hernández; Inmaculada Expósito; Manoli Lozano-Gallego; Marta Hernández-Ferrándiz; Esther Gelada-Batlle; Imma Pericot-Nierga; Joan Vilalta-Franch
Journal:  Med Clin (Barc)       Date:  2004-05-29       Impact factor: 1.725

7.  Cost-effectiveness analysis of switching antipsychotic medication to long-acting injectable risperidone in patients with schizophrenia : a 12- and 24-month follow-up from the e-STAR database in Spain.

Authors:  José M Olivares; Alfonso Rodriguez-Martinez; José A Burón; David Alonso-Escolano; Alexander Rodriguez-Morales
Journal:  Appl Health Econ Health Policy       Date:  2008       Impact factor: 2.561

8.  Projections of global mortality and burden of disease from 2002 to 2030.

Authors:  Colin D Mathers; Dejan Loncar
Journal:  PLoS Med       Date:  2006-11       Impact factor: 11.069

9.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Christopher J L Murray; Theo Vos; Rafael Lozano; Mohsen Naghavi; Abraham D Flaxman; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Diego Gonzalez-Medina; Richard Gosselin; Rebecca Grainger; Bridget Grant; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Francine Laden; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Daphna Levinson; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Charles Mock; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Natasha Wiebe; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

10.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  15 in total

Review 1.  The Valuation of Informal Care in Cost-of-Illness Studies: A Systematic Review.

Authors:  Juan Oliva-Moreno; Marta Trapero-Bertran; Luz Maria Peña-Longobardo; Raúl Del Pozo-Rubio
Journal:  Pharmacoeconomics       Date:  2017-03       Impact factor: 4.981

2.  How relevant are social costs in economic evaluations? The case of Alzheimer's disease.

Authors:  L M Peña-Longobardo; B Rodríguez-Sánchez; J Oliva-Moreno; I Aranda-Reneo; J López-Bastida
Journal:  Eur J Health Econ       Date:  2019-07-24

3.  Impact on healthcare resource utilization of multiple sclerosis in Spain.

Authors:  Antoni Sicras-Mainar; Elena Ruíz-Beato; Ruth Navarro-Artieda; Jorge Maurino
Journal:  BMC Health Serv Res       Date:  2017-12-29       Impact factor: 2.655

4.  Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres.

Authors:  Roger Muñoz-Navarro; Antonio Cano-Vindel; Leonardo Adrián Medrano; Florian Schmitz; Paloma Ruiz-Rodríguez; Carmen Abellán-Maeso; Maria Antonia Font-Payeras; Ana María Hermosilla-Pasamar
Journal:  BMC Psychiatry       Date:  2017-08-09       Impact factor: 3.630

5.  Economic evaluation of a guided and unguided internet-based CBT intervention for major depression: Results from a multi-center, three-armed randomized controlled trial conducted in primary care.

Authors:  Pablo Romero-Sanchiz; Raquel Nogueira-Arjona; Antonio García-Ruiz; Juan V Luciano; Javier García Campayo; Margalida Gili; Cristina Botella; Rosa Baños; Adoración Castro; Yolanda López-Del-Hoyo; Mª Ángeles Pérez Ara; Marta Modrego-Alarcón; Fermín Mayoral Cleríes
Journal:  PLoS One       Date:  2017-02-27       Impact factor: 3.240

6.  Efficacy of the unified protocol for the treatment of emotional disorders in the Spanish public mental health system using a group format: study protocol for a multicenter, randomized, non-inferiority controlled trial.

Authors:  Jorge Osma; Carlos Suso-Ribera; Azucena García-Palacios; Elena Crespo-Delgado; Cristina Robert-Flor; Ana Sánchez-Guerrero; Vanesa Ferreres-Galan; Luisa Pérez-Ayerra; Amparo Malea-Fernández; Mª Ángeles Torres-Alfosea
Journal:  Health Qual Life Outcomes       Date:  2018-03-12       Impact factor: 3.186

7.  Economic and epidemiologic impact of guidelines for early ART initiation irrespective of CD4 count in Spain.

Authors:  Parastu Kasaie; Matthew Radford; Sunaina Kapoor; Younghee Jung; Beatriz Hernandez Novoa; David Dowdy; Maunank Shah
Journal:  PLoS One       Date:  2018-11-05       Impact factor: 3.240

8.  Effectiveness and cost-effectiveness of a multicomponent intervention to improve medication adherence in people with depressive disorders - MAPDep: a study protocol for a cluster randomized controlled trial.

Authors:  Tasmania Del Pino-Sedeño; Wenceslao Peñate; Carlos de Las Cuevas; Cristina Valcarcel-Nazco; Ascensión Fumero; Pedro Guillermo Serrano-Pérez; Francisco Javier Acosta Artiles; Vanesa Ramos García; Beatriz León Salas; Daniel Bejarano-Quisoboni; María M Trujillo-Martín
Journal:  Patient Prefer Adherence       Date:  2019-02-22       Impact factor: 2.711

9.  Cost-Effectiveness and Cost-Utility Analysis of the Treatment of Emotional Disorders in Primary Care: PsicAP Clinical Trial. Description of the Sub-study Design.

Authors:  Paloma Ruiz-Rodríguez; Antonio Cano-Vindel; Roger Muñoz-Navarro; Cristina M Wood; Leonardo A Medrano; Luciana Sofía Moretti
Journal:  Front Psychol       Date:  2018-03-06

10.  A brief online transdiagnostic measure: Psychometric properties of the Overall Anxiety Severity and Impairment Scale (OASIS) among Spanish patients with emotional disorders.

Authors:  Alberto González-Robles; Adriana Mira; Clara Miguel; Guadalupe Molinari; Amanda Díaz-García; Azucena García-Palacios; Juana M Bretón-López; Soledad Quero; Rosa M Baños; Cristina Botella
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

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