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Healthcare costs associated with recognized and unrecognized depression in old age

Published online by Cambridge University Press:  27 August 2008

Melanie Luppa*
Affiliation:
Public Mental Health Research Unit, Department of Psychiatry, University of Leipzig, Germany
Sven Heinrich
Affiliation:
Health Economics Research Unit, Department of Psychiatry, University of Leipzig, Germany
Matthias C. Angermeyer
Affiliation:
Center for Public Mental Health, Gösing am Wagram, Austria
Hans-Helmut König
Affiliation:
Health Economics Research Unit, Department of Psychiatry, University of Leipzig, Germany
Steffi G. Riedel-Heller
Affiliation:
Public Mental Health Research Unit, Department of Psychiatry, University of Leipzig, Germany
*
Correspondence should be addressed to: Melanie Luppa, Public Mental Health Research Unit, Department of Psychiatry, University of Leipzig, Johannisallee 20, D-04317 Leipzig, Germany. Phone: +49 341 9724534; Fax: +49 341 9724539. Email: [email protected].
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Abstract

Background: Inadequate recognition of depression in old age in primary care and the consequences for individuals are now well reported, but little research has been undertaken on its impact on healthcare costs. It is not known whether these costs (i) differ between GP-recognized and -unrecognized depressed individuals, and (ii) differ between these groups and non-depressed individuals.

Methods: 451 primary care patients aged 75+ were interviewed face-to-face regarding depressive symptoms (Geriatric Depression Scale), chronic medical illness (Chronic Disease Score), resource utilization and healthcare costs (questionnaire of service utilization and costs). A general practitioner (GP) questionnaire was used to measure GPs' recognition of depression. Resource utilization was valued in monetary terms using 2004/2005 prices.

Results: Thirty-eight (60%) of the 63 depressed patients were not identified by the GPs. From a societal perspective, mean annual healthcare costs were €5,582 for unrecognized depressed and €4,722 for recognized depressed patients with no significant difference. Healthcare costs of recognized and unrecognized depressed exceeded the healthcare costs of non-depressed patients (€3,648) by 23% and 35% respectively (p < 0.05).

Conclusion: Although mean annual healthcare costs for GP-unrecognized depressed patients exceed the costs of GP-recognized depressed patients in absolute numbers, differences were not found to be statistically significant. Both groups differ from non-depressed individuals regarding their healthcare costs. Results encourage further research into the effect of recognition on healthcare costs of depression in large-scale studies.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2008

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References

Becker, A., Seitz, R., Jacobi, E. and Leidl, R. (2001). Kostenmessung durch Patientenbefragung: Pilotstudie zu einem Kostenwochenbuch. Die Rehabilitation (Stuttgart), 40, 1220.CrossRefGoogle Scholar
Brenner, G. and Bogumil, W. (2002). Kostenstrukturanalyse in der Arztpraxis 1999. Köln: Zentralinstitute für die Kas-. senarztliche Versorgung.Google Scholar
Callahan, C. M., Hui, S. L., Nienaber, N. A., Musick, B. S. and Tierney, W. M. (1994). Longitudinal study of depression and health services use among elderly primary care patients. Journal of the American Geriatrics Society, 42, 833838.CrossRefGoogle ScholarPubMed
Crawford, M. J., Prince, M., Menezes, P. and Mann, A. H. (1998). The recognition and treatment of depression in older people in primary care. International Journal of Geriatric Psychiatry, 13, 172176.3.0.CO;2-C>CrossRefGoogle ScholarPubMed
Federal Association of Fund Dentists (2003). KZBV-Jahrbuch 2003. Köln: Statistische Basisdaten zur vertragszahnärztlichen Versorgung.Google Scholar
Federal Physicians Association (2004). Einheitlicher Bewertungsmaßstab. Köln: Deutscher Arzte-Verlag.Google Scholar
Gauggel, S. and Birkner, B. (1999). Validity and reliability of a German version of the Geriatric Depression Scale (GDS). Zeitschrift für Klinische Psychologie-Forschung und Praxis, 28, 1827.CrossRefGoogle Scholar
German Hospital Federation (2006). Bestandsaufnahme zur Krankenhausplanung und Investitionsfinanzierung in den Bundesländern. (www.dkgev.de)Google Scholar
German Social Security Association (2004). VDR Statistik Rehabilitation des Jahres 2003. Frankfurt am Main: Verband Deutscher Rentenversicherungsträger. (www.vdr.de/Statistik)Google Scholar
Johnston, K., Buxton, M. J., Jones, D. R. and Fitzpatrick, R. (1999). Assessing the costs of healthcare technologies in clinical trials. Health Technology Assessment, 3, 176.CrossRefGoogle ScholarPubMed
Katon, W. J., Lin, E., Russo, J. and Unutzer, J. (2003). Increased medical costs of a population-based sample of depressed elderly patients. Archives of General Psychiatry, 60, 897903.CrossRefGoogle ScholarPubMed
Luber, M. P. et al. . (2001). Depression and service utilization in elderly primary care patients. American Journal of Geriatric Psychiatry, 9, 169176.CrossRefGoogle ScholarPubMed
Luppa, M., Heinrich, S., Angermeyer, M. C., König, H. H. and Riedel-Heller, S. G. (2007). Cost-of-illness studies of depression: a systematic review. Journal of Affective Disorders, 98, 2943.CrossRefGoogle ScholarPubMed
Luppa, M. et al. . (2008). Direct costs associated with depression in old age in Germany. Journal of Affective Disorders, 105, 195204.CrossRefGoogle ScholarPubMed
Red List (2004). Catalogue of Drugs for Germany. Frankfurt am Main: Rote-Liste-Service-GmbH.Google Scholar
Rosch, M., Leidl, R., Tirpitz, C., Reinshagen, M., Adler, G. and König, H. H. (2002a). [Cost measurement based on a cost diary in patients with inflammatory bowel disease – article in German]. Zeitschrift für Gastroenterologie, 40, 217228.Google Scholar
Rosch, M. et al. . (2002b). [Measurement of outpatient treatment costs of chronic inflammatory bowel diseases at a German university hospital – article in German]. Medizinische Klinik (Munich), 97, 128136.Google Scholar
Sheikh, J. I. and Yesavage, J. A. (1986). Geriatric Depression Scale: recent evidence and development of a shorter version. Clinical Gerontologist, 5, 165172.Google Scholar
Simon, G. E., Goldberg, D., Tiemens, B. G. and Ustun, B. (1999). Outcomes of recognized and unrecognized depression in an international primary care study. General Hospital Psychiatry, 21, 97105.CrossRefGoogle Scholar
Statistical Office of the Free State of Saxony (2005). Statistische Berichte. Kosten für die stationäre medizinische Betreuung im Freistaat Sachsen. Kamenz: Statistische des Freistaates Sachsen.Google Scholar
Thompson, M. G., Heller, K. and Rody, C. A. (1994). Recruitment challenges in studying late-life depression: do community samples adequately represent depressed older adults? Psychology and Aging, 9, 121125.CrossRefGoogle ScholarPubMed
Unützer, J. et al. . (1997). Depressive symptoms and the cost of health services in HMO patients aged 65 years and older: a 4-year prospective study. JAMA, 277, 16181623.CrossRefGoogle Scholar
von Korff, M., Wagner, E. H. and Saunders, K. (1992). A chronic disease score from automated pharmacy data. Journal of Clinical Epidemiology, 45, 197203.CrossRefGoogle ScholarPubMed