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Erschienen in: Health Economics Review 1/2012

Open Access 01.12.2012 | Review

Methodological considerations in cost of illness studies on Alzheimer disease

verfasst von: Nagede Costa, Helene Derumeaux, Thomas Rapp, Valérie Garnault, Laura Ferlicoq, Sophie Gillette, Sandrine Andrieu, Bruno Vellas, Michel Lamure, Alain Grand, Laurent Molinier

Erschienen in: Health Economics Review | Ausgabe 1/2012

Abstract

Cost-of-illness studies (COI) can identify and measure all the costs of a particular disease, including the direct, indirect and intangible dimensions. They are intended to provide estimates about the economic impact of costly disease. Alzheimer disease (AD) is a relevant example to review cost of illness studies because of its costliness.The aim of this study was to review relevant published cost studies of AD to analyze the method used and to identify which dimension had to be improved from a methodological perspective. First, we described the key points of cost study methodology. Secondly, cost studies relating to AD were systematically reviewed, focussing on an analysis of the different methods used. The methodological choices of the studies were analysed using an analytical grid which contains the main methodological items of COI studies. Seventeen articles were retained. Depending on the studies, annual total costs per patient vary from $2,935 to $52, 954. The methods, data sources, and estimated cost categories in each study varied widely. The review showed that cost studies adopted different approaches to estimate costs of AD, reflecting a lack of consensus on the methodology of cost studies. To increase its credibility, closer agreement among researchers on the methodological principles of cost studies would be desirable.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​2191-1991-2-18) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

NC supervised the project and its implementation, conducted the literature review, drafted the article and approved his final version. LM designed the study and helped supervise the project and its implementation, conducted the literature review, drafted the article and approved his final version. HD and TR helped to implement the project, conducted the literature review, reviewed the article and approved final version.VG and LF helped conduct the literature review, reviewed the article and approved his final version. SG, SA, ML, AG and BV helped the interpretation of data, reviewed the article and approved his final version. All authors read and approved the final manuscript.
Abkürzungen
AD
Alzheimer disease
ADL
Activity of Daily Living
CAS
Caregiver Activity Survey
CATS
Caregiver Activity Time survey
COI
Cost of illness study
CDR
Clinical Dementia Rate
DSM
Diagnostic and Statistical Manual of Mental Disorders
DRG
Disease Related Group
HCA
Human Capital Approach
IADL
Instrumental Activity of Daily Living
MCBS
Medicare Current Beneficiary Survey
MMSE
Mini Mental State Examination
N
No
NINCDS-ADRDA
National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association
NA
Not Applicable
NS
Not Specified
NM
Not Measured
MNS
Measured but Not Specified
P
Partially
PPP
Purchasing Power Parity
RUD
Resource Utilization in Dementia
Y
Yes.

Review

Introduction

Cost-of-Illness (COI) studies aim to identify and measure all the costs of a disease [1]. They describe and estimate the economic burden of a specific disease to a society, and therefore the savings that could be done if the disease were to be eradicated [2]. COI studies as decision making tool has been debated, but they may be useful by educating, informing and enlightening policy makers in planning and financing [3]. COI studies are particularly relevant in chronic diseases that weigh heavily on health expenditures. Dementia is characterized by a gradual and irreversible impairment of the intellect, memory, and personality. Alzheimer disease (AD) accounts for 60% to 80% of all dementia cases and its prevalence will increase with the life expectancy growth [4]. There are 35, 6 million demented people in 2011, increasing to 115,4 million by 2050 [5]. Disease worldwide costs were US$ 604 billion in 2011, which 84% were attributable to informal and formal costs. COI studies are the initial step in an economic evaluation. Few cost-effectiveness analyses in AD drug treatment show divergent results in costs saving [6, 7], probably because of different methodologies. So, it is necessary to accurately assess AD costs to show the potential economic impact of new therapeutic or preventive strategies. Three articles were previously published on the methodology of AD costs [810], but they were either focus on European studies including other dementia (not on AD specifically), or focus on informal costs and not focus on COI studies. This study aims to review relevant published AD COI studies, to analyze the methods used and to identify the points that should be improved in order to obtain convincing results from a methodological perspective. First, we provided a general description of the COI method. And then, we systematically reviewed AD costs studies, analyzing the different methods used.

Methods

Cost study

To conduct a COI study, it is necessary to define disease, epidemiological approach, type of costs, and study perspective. Subsequently, resource consumption data and unit costs can be gathered, and the results presented and methodically discussed, in conjunction with sensitivity analysis to test their robustness. A checklist (Table  1), containing its items, was developped on the model described by Drummond et al. [11] and adapted to COI by Molinier et al. [12]. An equal weight was given to each item. The final score was the sum of the eleven individual items.
Table 1
Answers to the methodological questions by study
 
All studies
Lopez Bastida et al. [13]
Coduras et al. [14]
Rigaud et al. [15]
Kronborg Andersen et al. [16]
Cavallo et al. [17]
Mesterton et al. [18]
Kiencke et al. [19]
Leon et al. [20]
Hay et al. [21]
Rice et al. [22]
Leon et al. [23]
Ostbye et al. [24]
Zencir et al. [25]
Wang et al. [26]
Suh et al. [27]
Beeri et al. [28]
Allegri et al. [29]
 
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
Yes
P
No
1 Was a clear definition of the illness given?
10
5
2
 
P
 
Yes
  
Yes
  
Yes
    
No
 
P
  
P
 
Yes
    
No
 
P
 
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
  
Yes
  
2 Were epidemiological sources carefully described?
13
3
1
Yes
  
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
   
P
 
Yes
  
Yes
    
No
Yes
  
3 Were costs sufficiently disaggregated ?
12
0
5
Yes
  
Yes
    
No
Yes
  
Yes
  
Yes
  
Yes
    
No
Yes
  
Yes
    
No
  
No
Yes
  
Yes
    
No
Yes
  
Yes
  
4 Were activity data sources carefully described?
15
1
1
Yes
  
Yes
  
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
  
Yes
  
Yes
  
Yes
    
No
Yes
  
Yes
  
Yes
  
Yes
  
Yes
  
5 Were activity data appropriately assessed?
6
9
2
Yes
   
P
  
P
  
P
  
P
 
Yes
    
No
Yes
  
Yes
  
Yes
   
P
   
No
 
P
  
P
 
Yes
   
P
  
P
 
6 Were the sources of all cost values analytically described?
10
4
3
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
    
No
Yes
  
Yes
   
P
  
P
   
No
 
P
 
Yes
  
Yes
    
No
Yes
  
7 Were unit costs appropriately valued?
7
5
5
Yes
  
Yes
   
P
  
P
  
P
 
Yes
    
No
Yes
  
Yes
   
P
   
No
  
No
  
No
Yes
  
Yes
    
No
 
P
 
8 Were the methods adopted carefully explained?
11
6
0
Yes
  
Yes
  
Yes
  
Yes
   
P
 
Yes
   
P
 
Yes
  
Yes
   
P
  
P
  
P
 
Yes
  
Yes
  
Yes
   
P
 
Yes
  
9 Were costs discounted ?
0
2
15
  
No
  
No
  
No
  
No
  
No
  
No
 
P
   
No
 
P
   
No
  
No
  
No
  
No
  
No
  
No
  
No
  
No
10 Were the major assumptions tested in a sensitivity analysis?
3
0
14
  
No
Yes
    
No
  
No
  
No
  
No
Yes
    
No
  
No
  
No
  
No
  
No
  
No
  
No
Yes
    
No
  
No
11 Was the presentation of study results consistent with the methodology of study?
13
4
0
Yes
  
Yes
  
Yes
  
Yes
  
Yes
  
Yes
  
Yes
   
P
  
P
 
Yes
  
Yes
   
P
 
Yes
  
Yes
  
Yes
   
P
 
Yes
  
12 Total score by study
100
39
48
8
1
2
9
1
1
6
2
3
7
2
2
4
4
3
7
2
2
4
4
3
7
1
3
7
2
2
5
4
2
3
4
4
2
2
7
5
3
3
8
1
2
8
1
2
3
3
5
7
2
2
Total score by study was the sum of answers; P, Partially.

Defining the disease and population

Illness costs widely depend on how the disease is defined. AD diagnosis is based on Alzheimer’s Association criteria (NINCDS-ADRDA) [30] and Diagnostic and Statistical Manual of Mental Disorders criteria (DSM IV) [31]. As costs increase with disease severity [3235], disease stage must be specified and measured using validated tools, as Clinical Dementia Rate [36] (CDR) or Mini Mental State Examination (MMSE) [37]. Cost components may vary depending on the living conditions (e.g. home, institution), and therefore must be specified [33, 38].

Epidemiological approach

Prevalence-based COI studies estimate the economic burden to society during a period of time as a result of the prevalence of the disease (e.g. in a given year). Incidence-based studies estimate lifetime costs, and measure the costs of an illness from diagnosis until recovery or another endpoint (e.g. death).

Perspective of the analysis and costs assessed

A COI study may be conducted from several perspectives that must be specified to check that relevant costs are included. From the healthcare payer perspective, only direct costs incurred by a payer (e.g. national health insurance) are considered. Indirect costs and the patient “out-of-pocket” must also be included in a study which uses societal perspective.

Estimating resource consumption

Resource consumption estimates vary depending on the data available, but validated tools exist to collect them [39]. In prospective COI studies, events have not occurred yet, so data collection is done by the patients’ follow-up, medical records, data from clinical trials and patients or caregiver questionnaires. Conversely, in retrospective COI study, events have already occurred, so data collection must refer to recorded data, either using “Top-down” method (aggregate figures from hospital admissions, mortality, etc.) or “bottom-up” method (by referring to the patients sample record).

Valuation of unit costs

The COI is estimated by identifying the cost-generating components and by attributing them a monetary value. This is the opportunity cost, the value of the forgone opportunity to use in a different way those resources that are lost due to illness [11]. Direct and indirect costs should be valued to assess the total economic COI. Direct costs measure the resources used to treat an illness and can be estimated by per capita expenditures, national tariffs, market prices, and published studies. Patient charges and tariffs do not give an accurate estimate of the underlying costs. Market prices can be used to value some cost categories like drugs, rehabilitation items (e.g. eyeglasses, etc.). Direct costs can also be valued with care facilities estimates, through the analytical account system which specified distribution properties. Indirect costs measure the loss of productivity, the effect of the illness on the patient or caregiver abilities to work. Three methods are used to value indirect costs: the Human Capital Approach (HCA) [40], the Friction Cost Method [41] and the Willingness to pay approach [42]. Informal care is an unpaid care often provided by relatives and plays a substantial role in the AD patient’s total care. Two methods are mainly used to value the shadow price of informal care time. The opportunity cost approach values the opportunity forgone as a result of caregiving and the replacement cost approach values the caregiving time spent at a price of a close substitute [9, 43, 44].

Discounting costs

Discounting captures individual preferences for income today rather than income in the future and is frequently applied when COI studies are considered over several years. In the USA, they estimate the discount rate at 3% [45]. The following equation is applied to estimate costs:
C a = C t n = 1 t 1 + r n
(1)
Where: C a  = present value of cost strategy, C t  = value of cost strategy in year t, r = discount rate, t = time period.

Sensitivity analysis

Sensitivity analysis is recommended because COI studies contain uncertainties. It allows testing the robustness of the results by varying in range key variables (e.g., prevalence, unit costs, etc.) [46]. It seems more credible to present a range of possible illness costs.

Presentation of results

The presentation of COI results should be consistent with collected data and should disaggregate results into as many components as possible with full explanations given for clarity (Table  1).

Literature review

Study selection
A bibliographic search was performed on an international medical literature database (Medline). All studies which assessed the economic burden of AD were selected. To be exhaustive, eight keywords combinations were employed: “Alzheimer disease” AND “Cost of illness”; “Alzheimer disease” AND “Economic evaluation”; “Alzheimer disease” AND “Cost study”; “Alzheimer disease” AND “Cost analysis”; “Dementia” AND “Cost of illness”; “Dementia” AND “Economic evaluation”; “Dementia” AND “Cost study”; “Dementia” AND “Cost analysis”. This search provided us 2271 papers. We kept the 2033 papers written in English. Among them, we selected articles whose title contained “Dementia” or “Alzheimer disease” (801 papers were removed) AND “Costs” or “Expenses” or “Economic” or “Burden” (another 941 papers were removed). This study focused on the methodology used to estimate AD costs, 137 papers were removed because they were identified as global economic analyses. A hundred and fifty four abstracts were first selected and 46 of them underwent a subsequent full paper reading, thus providing 17 articles. Figure  1 illustrates the literature search, selection process, and presents reasons for excluded studies.
Study review
A systematic review was performed. One author (N. Costa) selected abstracts. Six methodologists read the 46 papers retrieved by the search strategy and reviewed the 17 selected papers. With the key methodological points identified in the first part of the paper, they asked questions based on existing checklists for full economic evaluations [47]. The objective was not to establish a criteria hierarchy by using different weights, but to use these criteria to analyze the methods used. Each study was assessed separately by the reviewers. Finally, a consensus was reached by discussion. Then, all authors, both clinicians and methodologists, discussed the results.

Results

Seventeen studies met our criteria (Tables  2, 3). Seven studies were conducted in Europe [1319], 5 in North America [2024], 4 in Asia [2528] and 1 in South America [29]. Fifteen studies selected a sample ranging in size from 42 to 21512 patients [1320, 2229].
Table 2
Cost of illness studie's characteristics in Alzheimer disease
Study
Country
Type of helthcare system (insurance)
Year of valuation
Currency
Perspective
Design of cost analysis
Sample size
Type of setting
Follow-up (months)
Total annual cost per patient (US$)
Lopez Bastida et al. [13]
Spain
Public social
2001
Societal
Prosepective
237
At home
12
37,881
Coduras et al. [14]
Spain
Public social
2006
Societal
Prospective multicentre
560
At home and in institution
12
22,558
Rigaud et al. [15]
France
Public social
1996
Societal
Retrospective single centre
48
At home
6
31,153
Kronborg Andersen et al. [16]
Denmark
Public social
1997
DKK
Societal
Prospective single centre
164
At home and in institution
12
17,078
Cavallo et al. [17]
Italy
Public and private
1995
Family
Prospective single centre
423
At home
NS
52,954
Mesterton et al. [18]
Sweden
Public social
2007
SEK
Societal
Prospective multicentre
233
At home and in institution
1
46,956
Kiencke et al. [19]
Germany
Public health
2005
Healthcare payer
Decision model
21512
NS
60
11,786
Leon et al. [20]
USA
Private
1996
US$
Societal
Prospective multicentre
150
At home and in institution
1
18,804
Hay et al. [21]
USA
Private
1983
US$
Societal
Retrospective
NS
At home and in institution
Lifetime
18,517*
Rice et al. [22]
USA
Private
1990
US$
Societal
Prospective multicentre
187
At home and in institution
12
51,905*
Leon et al. [23]
USA
Private
1996
US$
Societal
Prospective multicentre
679
At home and in institution
NS
27,672
Ostbye et al. [24]
Canada
Public social
1991
CAN$
Societal
Not specify
10263
At home and in institution
NS
13,900*
Zencir et al. [25]
Turkey
Public and private
2003
TRY
NS
Prosepective
42
At home
3
3,492
Wang et al. [26]
China
Public social insurance
2006
RMB
NS
Prospective single centre
66
NS
12
2,935*
Suh et al. [27]
Korea
Private
2002
Societal
Decision model
NS
At home and in institution
12
11,389
Beeri et al. [28]
Israel
Public social
1999
NIS
Societal
Prospective multicentre
121
At home and in institution
6
19,893*
Allegri et al. [29]
Argentina
Public and private
2001
$Ar
Societal
Retrospective
100
At home and in institution
3
7,709
NS: not specify; NA: not available, * Net Costs.
All costs are in US$ (1€ = 1,36491 US$, 1 CAN$ = 0,970458 US$, 1 DKK = 0,183360 US$, 1 RMB = 0,156987 US$; October 11, 2011) SEK, Swedish Crown; RMB, Yuan Renminbi; ₩, Won; $Ar, Argentine Peso; NIS, New Israeli Shekel; TRI, Turkish Lira; CAN$, Canadian Dollar; DKK, Danish Crown; €, Euro).
Table 3
Total annual costs disaggregation
Study
Total annual cost per patient (US$)
Direct medical costs
Inpatient
Outpatient
Medication
Specialized institution
Other
Direct non medical costs
Home help
Nursing home
Transportation
Other
Informal costs
Indirect costs
Lopez Bastida et al. [13]
37,881
4,848
924
844
2,468
301
311
2,306
2,223
NA
83
NA
29,884
843
Coduras et al. [14]
22,558
4,744
144
503
2,137
1,97
NA
5,798
4,66
1,138
NA
NA
12,016
NA
Rigaud et al. [15]
31,153
6,663
NS
NS
NS
NS
NA
5,632
5,632
NS
NS
NA
18,858
NA
Kronborg Andersen et al. [16]
17,078
4,357
4,11
247
NA
NA
NA
12,721
12,663
NA
NA
58
NA
NA
Cavallo et al. [17]
52,954
2,722
NA
NA
NA
2,722
NA
5,496
5,496
NA
NA
NA
44,736
NA
Mesterton et al. [18]
46,956
3,155
1,067
1,118
970
NA
NA
39,373
6,487
32,886
NA
NA
4,428
NA
Kiencke et al. [19]
11,786
11,786
2,889
1,449
2,126
NS
677
NA
NA
NA
NA
NA
NA
NA
Leon et al. [20]
18,804
7,284
NS
NS
NS
NA
NA
NA
NA
NA
NA
NA
11,52
NA
Hay et al. [21]
18,517*
2,292
756
1,292
244
NA
NA
7,285
1,774
5,326
167
18
9
NA
Rice et al. [22]
51,905*
22,176
1,072
545
301
19,521
737
9,699
9,585
NA
NA
114
20,03
NA
Leon et al. [23]
27,672
21,924
NS
NS
NS
NS
NS
NA
NA
NA
NA
NA
5,748
NA
Ostbye et al. [24]
13,900*
NS
NS
NS
NS
NS
NS
NS
NS
NS
NA
NS
NS
NA
Zencir et al. [25]
3,492
2,128
NA
37
2091
NA
NA
NA
NA
NA
NA
NA
1,364
NA
Wang et al. [26]
2,935*
863
29
32
802
NA
11
431
373
NA
NA
27
1,63
NA
Suh et al. [27]
11,389
4,394
NS
NS
NS
NA
NA
445
445
NA
NA
NA
6,55
NA
Beeri et al. [28]
19,893*
3,974
1,749
1,63
584
NA
11
9,326
1,822
7,504
NA
NA
6,593
NA
Allegri et al. [29]
7,709
3,389
525
280
2,389
NA
195
2,488
187
2,301
NA
NA
1,832
NA
NS: not specify; NA: not available, * Net Costs.
All costs are in US$ (1€ = 1,36491 US$, 1 CAN$ = 0,970458 US$, 1 DKK = 0,183360 US$, 1 RMB = 0,156987 US$; October 11, 2011).
SEK, Swedish Crown; RMB, Yuan Renminbi; ₩, Won; $Ar, Argentine Peso; NIS, New Israeli Shekel; TRI, Turkish Lira; CAN$, Canadian Dollar; DKK, Danish Crown; €, Euro).

Defining the disease and population

AD was defined with NINCDS-ADRDA criteria for 4 studies [20, 23, 28, 29], with DSM criteria for 2 studies [25, 26], with both criteria for 4 studies [1416, 24] and with ICD-10 for another study [19]. Six studies did not specify the criteria used [13, 17, 18, 21, 22, 27]. Disease severity was measured with MMSE in 9 studies [14, 15, 18, 22, 2428], with CDR in 3 studies [13, 16, 23], and with both tests for 2 studies [20, 29]. Disease severity was not specified in three studies [17, 21, 23]. Four studies included community dwelling patients [13, 15, 17, 25] and 11 studies included both patients in community and in institution [14, 16, 18, 2024, 2729]. The place of living was not specified in 2 studies [19, 26].
Thirteen studies specified the mean age of the sample of patients ranging from 70,5 to 81,8 years [1320, 22, 25, 26, 28, 29].Two studies included patients aged from 50 to over 80 years [21, 24].

Perspective of the analysis and costs assessed

The adopted perspective was the society in 13 studies [1316, 18, 2024, 2729] and respectively the family and the healthcare payer in two studies [17, 19]. Fourteen studies quantified direct medical and non-medical costs and informal costs [14, 15, 17, 18, 2029]. Two studies did not include inpatient costs [17, 25]. Informal costs were defined as direct non-medical costs in seven studies [14, 15, 17, 19, 22, 23, 25] and as indirect costs in seven studies [18, 21, 24, 2629]. One study quantified all the costs (i.e. direct, informal and indirect) [13], indirect costs were defined as patient early retirement and informal costs as direct non-medical costs. Danish study quantified only direct medical and non-medical costs [16]. German study quantified only direct medical costs [19].

Estimating resource consumption

Three studies estimated resource consumption retrospectively [15, 21, 29]. Two of them used bottom-up approach to gather activity data through questionnaires [15, 29]. The other used a top-down approach, using published national indicators, national surveys and published studies [21]. Eleven studies estimated resource consumption prospectively [13, 14, 1618, 20, 2224, 26, 28]. Two studies used mainly the Resource Utilisation in Dementia (RUD) [48] to gather activity data [14, 18], completed with report forms, medical records and questionnaires on 560 patients in the Spanish study [14]. Nine studies gathered activity data mainly with questionnaires [13, 16, 17, 20, 22, 23, 25, 26, 28]. In the Danish study, 164 AD couple (i.e. patients/caregivers) was interviewed at home about Activities of Daily Living (ADL), use of health care and community services [16]. Two US studies measured direct costs using caregiver’s interviews and Medicare Current Beneficiary Survey (MCBS) [13, 23]. Rice et al. gathered activity data through monthly caregiver’s telephone interviews, billing records and with calendar given to caregiver at the baseline visit [23]. Israeli study used a baseline questionnaire to record time spent on caring and use of goods and services, and secondly recorded the same items with 5 monthly telephone interviews [28]. Two studies recorded data via mailed questionnaires filled out by caregivers [13, 17]. Turkish study used a questionnaire and daily time sheets for caregiving time [25]. Wang et al. interviewed 66 AD couples for filling out the resource use’s questionnaire [26]. Two studies used decision modelling [19, 27] and estimated resources with published sources and national surveys [27] or with data extractions of a German retrospective analysis [19]. One study did not precise the approach used to gather activity data [24]. Eight studies specified the number of caregiver included, several for 4 studies [13, 15, 17, 22] and only one for others [18, 23, 25, 28]. Eight studies recorded AD net costs [15, 16, 21, 22, 24, 26, 28, 29] either by subtracting healthy patient costs or by asking AD couple about resource’s used exclusively for AD.
The follow-up period was the lifetime in the study which adopted the incidence-based approach [21] and was one year in six studies [13, 14, 16, 22, 26, 27], but was frequently reduced to six, three or one month [14, 18, 20, 25, 28, 29]. One study used a sixty months follow-up period [19].

Valuation of unit costs

Direct costs were estimated from published data, national estimates and Medicare-over charges in one American study [21], and from unit costs using the MCBS and national estimates for adult day care in another one [20]. Rice et al. used charges and bills provided by the caregivers [22]. Two Spanish studies used the Spanish database on medical costs (SOIKOS), patient’s reports and the Spanish Vademecum to estimate unit costs [13, 14]. Direct unit costs were based on reimbursement tariffs used by the French social health insurance and on the French Disease related group (DRG) for inpatient care [15]. The Danish study used the reimbursement tariffs of social insurance, hospital accounts, gross wage rates of professionals and amortization procedure to value direct costs [16]. Institutional costs were valued with the average cost per day without food and beverage. Zencir et al. valued unit costs with the average price of public and private physician visits and with the average price per day for medication [25]. In the Chinese study, unit costs were valued with drugs prices, transportation reimbursements and local fees for home help [26]. Tariffs of social health insurance and full drugstore prices were used to unit costs valuation in the Argentinian study [28]. Meserton et al. valued unit costs with ward-specific per diem costs from regional price, the lowest available price for medication and with per visit costs [21]. For residential care, the number of days in institution was multiplied by the corresponding unit costs. Two studies used national estimates to value unit costs [23, 27]. No information relating to direct costs valuation was reported in four studies [1719, 24]. Twelve studies used the replacement cost approach to value informal care [13, 15, 17, 2026, 28, 29]. Seven studies used national estimates of a close substitute [17, 2023, 25, 29]. Among these, 5 studies used different national wages to value different caregiver’s activities [17, 20, 22, 23, 28]. Israeli study obtained different hourly wage rates for each activity from the Central Bureau of Statistics [28] and Leon et al. used hourly wage of home health aids to value ADL time and homemaker’s hourly wage to value IADL time [23]. Two studies used hospital nurse hourly wage [21, 25], another one, local wage rate without specifying the type of professional caregiver [26] and the Canadian study used published data [24]. Three studies did not specify the sources used to value informal care time [13, 15, 29]. Nevertheless, one study used professional caregiver monthly salary [29], another the cost per hour of a domestic cleaner gross wage [13] and the last one the average between housekeeping and paid assistance wage [15]. One study chose opportunity cost approach to value informal care, using the mean informal caregiver own salary [14]. Both approaches were used in one study [27]. The time spent by working caregivers was valued with national estimates and the time spent by working caregivers was valued with the own caregivers salaries. Opportunity cost and revealed preference approaches were used to value informal costs in one study [18]. Caregiving time was valued either with the HCA (working caregivers) or with a monetary estimate value of one hour of leisure time (not working caregivers). One study valued indirect costs with national estimates on employment and wages [13].

Discounting costs

One study has discounted costs without specifying the discounting rate [21]. German study performed costs discounting in the sensitivity analysis [19]. All the other studies used a short follow-up period and had no need to discount costs.

Sensitivity analysis

Only three studies performed a sensitivity analysis [14, 27, 29]. One study analyzed the impact of informal costs variation [14], another one the variation of AD sufferers’ proportion according to the need of full time care level [27], and the last one the discounting of the incurred costs [19].

Presentation of results

Most studies presented their results clearly. They were mainly well explained and consistently set out in relation to the methods adopted. Five studies did not sufficiently disaggregate costs, so the information strength was reduced (Table  3) [15, 20, 23, 24, 27]. All studies presented results in terms of cost per patient. Four studies proposed also AD total costs for the country [13, 23, 24, 27]. According to the key methodological points, we have drafted a checklist of questions related to the eight items analyzed (Table  1). For 9 studies, the answers of at least seven to eleven questions were “yes” [13, 14, 16, 18, 20, 21, 26, 27, 29].

Conclusion

This study reviewed seventeen COI studies on AD with the main goal of analyzing the various methodologies. According to the key methodological points, nine studies scored “yes” on the majority of the questions [13, 14, 16, 18, 19, 21, 26, 27, 29].
In this review, annual cost per patient varies from $2,935 to $52,954, confirming the costly character of AD. Nevertheless, commenting on these quantitative results is a problem because different approaches have been adopted. Informal care time varies widely according to the tool used. Validated instruments such as RUD, Caregiver Activity Survey (CAS) or Caregiver Activity Time Survey (CATS) exist to estimate informal care time [4850]. Most often, time spent in ADL and IADL was used but they measure dependence and not specifically AD caregiving time. Opportunity cost underestimates the time of women, elderly and minority that suffer from discrimination in labour market [51], and does not allow the valuation of different informal caregiving activities. These activities change can be considered with the replacement cost approach. Informal costs vary with the number of caregiver included. Informal costs can be 8 times higher if several caregivers are included rather than just one. AD informal costs have to be rigorously quantified because they represent 36% to 85% of total costs [9].
Unlike clinical trial results, it is very difficult to generalize results of economic studies conducted in different countries. Economic results are difficult to compare because of monetary issues (i.e. fluctuating exchange rates, purchasing powers of currencies). According to the World Bank classification [52], 3 studies in this review were conducted in upper middle income economies [25, 26, 29] and presented a mean annual cost for an AD patients which is 5 times lower than in studies conducted in high income economies. Purchasing Power Parity (PPP) use could help results comparison because it eliminates price levels differences between countries [53].
Domestic characteristics also affect resource consumption and unit costs, including differences in clinical practice and healthcare system framework. For example, medication costs can vary between studies because of the use of tariffs in solidarity systems which are not comparable to free prices in private systems.
Follow-up periods found in this review were often less than one year, which is a short period to assess chronic disease costs. However, data collection over a long period is difficult so the use of models could compensate this difficulty.
Some limitations are present in this review as only English papers were selected, which restricted our sample. Another limitation is based on the lack of items weighting (Table  1). It is likely that results are more significantly affected by some items than others. Further works must be performed in this area.
Nevertheless, this study built an inventory on the methodology used to analyze AD costs and helped in better understanding the reasons of disparate results between studies.
COI results are the basis for economic evaluations and provide information for models that is a part of any efficiency evaluation [45]. Nevertheless, an insufficient description of methods may lead to misunderstandings. COI studies identified in this review highlight the poor consensus of methodological approaches. Medical journal should encourage researchers to give clear descriptions and discuss limitations, and a further effort should be made to validate methodology. The definition of standards, with a large consensus in the methodology selected to conduct this studies, should be a major concern for the scientific community. A collective awareness about disease burden exists between economists, policies and caregivers that may lead to relevant decision making. COI studies can serve as a basis for projecting disease expenses, and thus allow adapting medical and social disease management in order to control AD costs.

Financial support

This study was supported by a grant from the French Ministry of Health (PHRCN 2008, 08 111 01).

Acknowledgements

We gratefully acknowledge B. Giachetto for assistance.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

NC supervised the project and its implementation, conducted the literature review, drafted the article and approved his final version. LM designed the study and helped supervise the project and its implementation, conducted the literature review, drafted the article and approved his final version. HD and TR helped to implement the project, conducted the literature review, reviewed the article and approved final version.VG and LF helped conduct the literature review, reviewed the article and approved his final version. SG, SA, ML, AG and BV helped the interpretation of data, reviewed the article and approved his final version. All authors read and approved the final manuscript.
Anhänge

Authors’ original submitted files for images

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Metadaten
Titel
Methodological considerations in cost of illness studies on Alzheimer disease
verfasst von
Nagede Costa
Helene Derumeaux
Thomas Rapp
Valérie Garnault
Laura Ferlicoq
Sophie Gillette
Sandrine Andrieu
Bruno Vellas
Michel Lamure
Alain Grand
Laurent Molinier
Publikationsdatum
01.12.2012
Verlag
Springer Berlin Heidelberg
Erschienen in
Health Economics Review / Ausgabe 1/2012
Elektronische ISSN: 2191-1991
DOI
https://doi.org/10.1186/2191-1991-2-18

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