Evidence map›Paper›PMID 33521892›Full record

ArticlePharmacoEconomics2021

The Excess Costs of Depression and the Influence of Sociodemographic and Socioeconomic Factors: Results from the German Health Interview and Examination Survey for Adults (DEGS).

Hannah König, Alexander Rommel, Julia Thom, Christian Schmidt, Hans-Helmut König, Christian Brettschneider, Alexander Konnopka

Abstract read
In one paragraph

Article in PharmacoEconomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Excess costs of mental disorders by level of severity.Social psychiatry and psychiatric epidemiology · 2023
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hannah KönigDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany. ha.koenig@uke.de.ORCID 0000-0002-4515-8405
Alexander RommelDepartment 2: Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID 0000-0001-7253-0535
Julia ThomDepartment 2: Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christian SchmidtDepartment 2: Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.ORCID 0000-0001-5711-6862
Christian Brettschneider *Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.ORCID 0000-0002-5280-1075
Alexander Konnopka *Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.ORCID 0000-0002-2605-3456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study was to estimate excess costs of depression in Germany and to examine the influence of sociodemographic and socioeconomic determinants.

methodsAnnual excess costs of depression per patient were estimated for the year 2019 by comparing survey data of individuals with and without self-reported medically diagnosed depression, representative for the German population aged 18-79 years. Differences between individuals with depression (n = 223) and without depression (n = 4540) were adjusted using entropy balancing. Excess costs were estimated using generalized linear model regression with a gamma distribution and log-link function. We estimated direct (inpatient, outpatient, medication) and indirect (sick leave, early retirement) excess costs. Subgroup analyses by social determinants were conducted for sex, age, socioeconomic status, first-generation or second-generation migrants, partnership, and social support.

resultsTotal annual excess costs of depression amounted to €5047 (95% confidence interval [CI] 3214-6880) per patient. Indirect excess costs amounted to €2835 (1566-4103) and were higher than direct excess costs (€2212 [1083-3341]). Outpatient (€498), inpatient (€1345), early retirement (€1686), and sick leave (€1149) excess costs were statistically significant, while medication (€370) excess costs were not. Regarding social determinants, total excess costs were highest in the younger age groups (€7955 for 18-29-year-olds, €9560 for 30-44-year-olds), whereas total excess costs were lowest for the oldest age group (€2168 for 65+) and first-generation or second-generation migrants (€1820).

conclusionsDepression was associated with high excess costs that varied by social determinants. Considerable differences between the socioeconomic and sociodemographic subgroups need further clarification as they point to specific treatment barriers as well as varying treatment needs.

Indexed as

DepressionHealth Care CostsAdultCosts and Cost AnalysisGermanyHumansSocioeconomic Factors

Identifiers

PMID33521892
PMCPMC8166710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.