Zusammenfassung
Anliegen Abschätzung der von depressiven Erkrankungen in Deutschland verursachten Krankheitslast.
Methoden In einer repräsentativen Bevölkerungsstichprobe (n = 3555) wurden Unterschiede in
präferenzbasierten Bewertungen der gesundheitsbezogenen Lebensqualität sowie der Zahlungsbereitschaft
für die Herstellung vollständiger Gesundheit zwischen an Depression erkrankten und
nicht an Depression erkrankten Personen gemessen. Ergebnisse Je nach verwendetem Präferenzmaß lag die Summe der in Deutschland pro Jahr aufgrund
von Depressionen verlorenen qualitätsadjustierten Lebensjahre (QALYs) zwischen 144
886 und 403 373. Die zusätzliche Zahlungsbereitschaft lag bei 4,3 Mrd. €. Schlussfolgerungen Depressive Erkrankungen verursachen eine erhebliche Krankheitslast, die jedoch je
nach verwendetem Präferenzmaß deutliche Unterschiede aufweist.
Abstract
Objective The purpose of this study was to estimate and compare the disease burden of depression
in Germany using preference-based valuations of depressive health states. Methods The data came from the European Study of the Epidemiology of Mental Disorders (ESEMeD)
in which a representative sample of 3555 non-institutionalised adults aged 18 years
or older was interviewed in Germany. Computer assisted personal interviews included
EQ-5D, SF-12, time trade-off (TTO) and contingent valuation (willingness-to-pay, WTP).
Respondents in whom 12-month prevalence for a depressive disorder according to DSM-IV
was identified, were compared to respondents without depressive disorders (controls).
Disease burden was measured in terms of loss of quality-adjusted life years (QALYs)
and loss of monetary benefit due to depression per year. Valuations of health-related
quality of life (HRQL) were derived from EQ-5D (EQ VAS and EQ-5D Index), SF-12 (SF-6D
Index) and TTO. Disease burden was estimated by calculating the difference between
individual valuation of HRQL/WTP for full health of cases and mean valuation/WTP of
controls matched by age and gender. Results were extrapolated to the total population.
Results Depending on the valuation method, the loss of QALYs per year due to depression in
Germany was 144 886 (TTO), 239 152 (EQ-5D Index VAS), 265 085 (EQ-5D Index TTO), 307
139 (EQ VAS) and 403 373 (SF-6D Index). The additional WTP for full health amounted
to 4.3 billion Euro. Conclusions Depressive disorders caused a substantial disease burden. Subjects affected by depression
showed lower preference-based scores compared to subjects without depression. However,
calculated QALY losses varied strongly by valuation method.
Schlüsselwörter
Depression - Krankheitslast - EQ-5D - QALY - Zahlungsbereitschaft
Key words
depression - burden of disease - EQ-5D - QALY - willingness-to-pay
Literatur
1
Murray C J.
Quantifying the burden of disease: the technical basis for disability-adjusted life
years.
Bull World Health Organ.
1994;
72
429-445
2 World Health Organization .Global burden of disease 2002 [Web Page]. 2002 Available
at http://www.who.int/en/
3
Murray C J, Lopez A D, Jamison D T.
The global burden of disease in 1990: summary results, sensitivity analysis and future
directions.
Bull World Health Organ.
1994;
72
495-509
4
Zeckhauser R J, Shepard D S.
Where now for saving lives?.
Law Contemp Probl.
1976;
40
5-45
5 Gold M, Siegel J, Russell L B, Weinstein M. Cost-effectiveness in health and medicine. New
York; Oxford University Press 1996
6
Brazier J, Deverill M, Green C, Harper R, Booth A.
A review of the use of health status measures in economic evaluation.
Health Technol Assess.
1999;
3
i-iv, 1 - 164
7
The EuroQol Group .
EuroQol: a new facility for the measurement of health-related quality of life.
Health Policy.
1990;
16
199-208
8
Brazier J E, Roberts J.
The estimation of a preference-based measure of health from the SF-12.
Med Care.
2004;
42
851-859
9
Currie G R, Donaldson C, O'Brien B J, Stoddart G L, Torrance G W, Drummond M F.
Willingness to pay for what? A note on alternative definitions of health care program
benefits for contingent valuation studies.
Med Decis Making.
2002;
22
493-497
10
Alonso J, Ferrer M, Romera B. et al .
The European Study of the Epidemiology of Mental Disorders (ESEMeD/MHEDEA 2000) project:
rationale and methods.
Int J Methods Psychiatr Res.
2002;
11
55-67
11
Kessler R C, Üstun T B.
The World Mental Health (WMH) Survey Initiative Version of the World Health Organization
(WHO) Composite International Diagnostic Interview (CIDI).
Int J Methods Psychiatr Res.
2004;
13
93-121
12 World Health Organization .CIDI - The Composite International Diagnostic Interview.
Core Version 1.0. Geneva; Division of Mental Health, WHO 1990
13 Wittchen H U, Semler G. Composite International Diagnostic Interview. Weinheim;
Beltz 1990
14
Brooks R.
EuroQol: the current state of play.
Health Policy.
1996;
37
53-72
15
Schulenburg J M von der, Claes C, Greiner W, Uber A.
Die deutsche Version des Euro-Qol-Fragebogens.
Zeitschrift für Gesundheitswissenschaften.
1998;
6
3-20
16 Claes C, Uber A, Schulenburg J M von der.
An interview-based comparison of the TTO and VAS values given to EQ-5D states of health
by the general German population. In: Greiner W, Schulenburg JM von der, Piercy J Plenary meeting. Hannover; Uni-Verlag
Witte 1998: 13-38
17
Greiner W, Claes C, Busschbach J J, Schulenburg J M von der.
Validating the EQ-5D with time trade off for the German population.
Eur J Health Econ.
2004;
6
124-130
18
Dolan P.
Modeling valuations for EuroQol health states.
Med Care.
1997;
35
1095-1108
19
Ware Jr J, Kosinski M, Keller S D.
A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of
reliability and validity.
Med Care.
1996;
34
220-233
20
Gandek B, Ware J E, Aaronson N K. et al .
Cross-validation of item selection and scoring for the SF-12 Health Survey in nine
countries: results from the IQOLA Project. International Quality of Life Assessment.
J Clin Epidemiol.
1998;
51
1171-1178
21
Brazier J E, Roberts J.
The estimation of a preference-based measure of health from the SF-12.
Med Care.
2004;
42
851-859
22 Statistisches Bundesamt .Sterbetafel 2011/2003. Wiesbaden; 2004
23 Davidson A C, Hinkley D V. Bootstrap Methods and their Application. Cambridge;
Cambridge University Press 1997
24 Efron B, Tibshirani R. An Introduction into Bootstrap. New York, London; Chapman
& Hall 1993
25 Statistisches Bundesamt .Statistisches Jahrbuch für die Bundesrepublik Deutschland
2004.
26
Friemel S, Bernert S, Angermeyer M C, König H H.
Die direkten Kosten von depressiven Erkrankungen in Deutschland. Ergebnisse aus dem
European Study of the Epidemiology of Mental Disorders (ESEMeD) Projekt.
Psychiat Prax.
2005;
32
113-121
27
Salize H J, Stamm K, Schubert M. et al .
Behandlungskosten von Patienten mit Depressionsdiagnose in haus- und fachärztlicher
Versorgung in Deutschland.
Psychiat Prax.
2004;
31
147-156
28
Greenberg P E, Stiglin L E, Finkelstein S N, Berndt E R.
The economic burden of depression in 1990.
J Clin Psychiatry.
1993;
54
405-418
29
Greenberg P E, Kessler R C, Birnbaum H G. et al .
The economic burden of depression in the United States: how did it change between
1990 and 2000?.
J Clin Psychiatry.
2003;
64
1465-1475
30
Jönsson B, Bebbington P E.
What price depression? The cost of depression and the cost-effectiveness of pharmacological
treatment.
Br J Psychiatry.
1994;
164
665-673
31
Kind P, Sorensen J.
The costs of depression.
Int Clin Psychopharmacol.
1993;
7
191-195
32
Stoudemire A, Frank R, Hedemark N, Kamlet M, Blazer D.
The economic burden of depression.
Gen Hosp Psychiatry.
1986;
8
387-394
33
Thomas C M, Morris S.
Cost of depression among adults in England in 2000.
Br J Psychiatry.
2003;
183
514-519
34
Berto P, D'Ilario D, Ruffo P, Virgilio R Di, Rizzo F.
Depression: Cost-of-illness studies in the international literature, a review.
J Ment Health Policy Econ.
2000;
3
3-10
35 Statistisches Bundesamt (Hrsg) .Gesundheit: Krankheitskosten 2002. Wiesbaden; 2004
36
König H H, Bernert S, Angermeyer M C.
Präferenzmaße bei depressiven Erkrankungen: Ein Vergleich des EuroQol-Instruments,
des Time-Trade-Off-Verfahrens und der Messung der Zahlungsbereitschaft.
Psychiat Prax.
2005;
32
122-131
37
Wells K B, Sherbourne C D.
Functioning and utility for current health of patients with depression or chronic
medical conditions in managed, primary care practices.
Arch Gen Psychiatry.
1999;
56
897-904
38
König H H.
Messung von Patientenpräferenzen in der Psychiatrie. Eine Literaturübersicht über
den Einsatz von Standard Gamble, Time Trade-Off und Contingent Valuation bei Depression
und Schizophrenie.
Psychiat Prax.
2004;
31
118-127
39
Brazier J, Roberts J, Tsuchiya A, Busschbach J.
A comparison of the EQ-5D and SF-6D across seven patient groups.
Health Econ.
2004;
13
873-884
40
Sapin C, Fantino B, Nowicki M L, Kind P.
Usefulness of EQ-5D in assessing health status in primary care patients with major
depressive disorder.
Health Qual Life Outcomes.
2004;
2
20
41
Johnson J A, Ohinmaa A, Murti B, Sintonen H, Coons S J.
Comparison of Finnish and U. S.-based visual analog scale valuations of the EQ-5D
measure.
Med Decis Making.
2000;
20
281-289
42
Johnson J A, Luo N, Shaw J W, Kind P, Coons S J.
Valuations of EQ-5D health states: are the United States and United Kingdom different?.
Med Care.
2005;
43
221-228
43
Unutzer J, Katon W J, Russo J. et al .
Willingness to pay for depression treatment in primary care.
Psychiatr Serv.
2003;
54
340-345
44
Weinstein M C, Siegel J E, Gold M R, Kamlet M S, Russell L B.
Recommendations of the Panel on Cost-effectiveness in Health and Medicine.
JAMA.
1996;
276
1253-1258
45
Dolan P.
Whose preferences count?.
Med Decis Making.
1999;
19
482-486
46
Kassirer J P.
Incorporating patients' preferences into medical decisions.
N Engl J Med.
1994;
330
1895-1896
47
Angell M.
Patients' preferences in randomized clinical trials.
N Engl J Med.
1984;
310
1385-1387
48
Gold M R, Stevenson D, Fryback D G.
HALYS and QALYS and DALYS, Oh My: similarities and differences in summary measures
of population Health.
Annu Rev Public Health.
2002;
23
115-134
49
Jacobi F, Wittchen H U, Holting C. et al .
Prevalence, co-morbidity and correlates of mental disorders in the general population:
results from the German Health Interview and Examination Survey (GHS).
Psychol Med.
2004;
34
597-611
50
Torrance G W.
Measurement of health state utilities for economic appraisal.
J Health Econ.
1986;
5
1-30
Prof. Dr. Hans-Helmut König
Universität Leipzig, Stiftungsprofessur für Gesundheitsökonomie, Klinik und Poliklinik
für Psychiatrie
Johannisallee 20
04317 Leipzig
Email: hans-helmut.koenig@medizin.uni-leipzig.de