The Impact of Depressive Symptoms on Healthcare Costs in Late Life: Longitudinal Findings From the AgeMooDe Study

Am J Geriatr Psychiatry. 2017 Feb;25(2):131-141. doi: 10.1016/j.jagp.2016.10.011. Epub 2016 Nov 2.

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.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Depression / drug therapy
  • Depression / economics*
  • Female
  • Germany
  • Health Care Costs / statistics & numerical data*
  • Humans
  • Longitudinal Studies
  • Male
  • Mental Health Services / statistics & numerical data*
  • Prospective Studies
  • Psychiatric Status Rating Scales
  • Regression Analysis
  • Surveys and Questionnaires