The Impact of Depressive Symptoms on Healthcare Costs in Late Life: Longitudinal Findings From the AgeMooDe Study
- PMID: 27931772
- DOI: 10.1016/j.jagp.2016.10.011
The Impact of Depressive Symptoms on Healthcare Costs in Late Life: Longitudinal Findings From the AgeMooDe Study
Abstract
Objective: To examine whether depressive symptoms affect healthcare costs in old age longitudinally.
Design: Multicenter prospective observational cohort study (two waves with nt1 = 1,195 and nt2 = 951) in Germany.
Setting: Community.
Participants: Participants aged 75 years and older recruited via general practitioners.
Measurements: Depressive symptoms were assessed by the Geriatric Depression Scale (GDS). The health-related resource use was measured retrospectively from a societal perspective based on a questionnaire, covering outpatient services, inpatient treatment, pharmaceuticals, as well as formal and informal nursing care. Hybrid regression models were used to determine the between- and within-effect of depressive symptoms on healthcare costs, adjusting for important covariates.
Results: Six-month total cost increased from €3,090 (t1) to €3,748 (t2). The hybrid random effects models showed that individuals with more depressive symptoms had higher healthcare costs compared with individuals with less depressive symptoms (between-effect). Moreover, an intra-individual increase in depressive symptoms increased healthcare costs by €539.60 (within-effect) per symptom on GDS.
Conclusions: Our findings emphasize the economic importance of depressive symptoms in old age. Appropriate interventions to treat depressive symptoms in old age might also be a promising strategy to reduce healthcare costs.
Keywords: Depression; depressive symptoms; economic burden; healthcare costs; old age.
Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.
Comment in
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Evaluating the Cost of Mental Illness: A Call for a Cost-Effective Care Coordination Model.Am J Geriatr Psychiatry. 2017 Feb;25(2):142-143. doi: 10.1016/j.jagp.2016.11.004. Epub 2016 Nov 10. Am J Geriatr Psychiatry. 2017. PMID: 28065497 No abstract available.
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