Evidence map›Paper›PMID 19048174›Full record

ArticleSocial psychiatry and psychiatric epidemiology2009

Screening for depression in the older long-term unemployed.

Iris Liwowsky, Dietmar Kramer, Roland Mergl, Anke Bramesfeld, Antje-Kathrin Allgaier, Ernst Pöppel, Ulrich Hegerl

Abstract read
PubMed Publisher
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Reflections on causes of suicidal behaviour.Epidemiology and psychiatric sciences · 2019
    Article
  5. Article
  6. Identification of Depression and Screening for Work Disabilities among Long-Term Unemployed People.International journal of environmental research and public health · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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 at 2 institutions in 1 country.

Iris LiwowskyDept. of Psychiatry, Ludwig-Maximilian-University Munich, Nussbaumstrasse 7, 80336 Munich, Germany. iris.liwowsky@med.uni-muenchen.de
Dietmar Kramer
Roland Mergl
Anke Bramesfeld
Antje-Kathrin Allgaier
Ernst Pöppel
Ulrich Hegerl
Leipzig University · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMisdiagnosis and undertreatment of depression in older, long-term unemployed people may not only pose a serious medical problem, but may also be an obstacle for their vocational reintegration. Screening for depression could be a first step to increasing treatment rates within this high-risk group. Therefore, the WHO-5 Well-Being Index was tested for its validity in unemployment offices. METHODOLOGY: Three hundred and sixty-five participants in a German programme for the vocational reintegration of long-term unemployed people were screened with the WHO-5 Well-Being Index. In 104 of these subjects, ICD-10 diagnoses were made using DIA-X Structured Clinical Interview.

resultsUsing the DIA-X data as a gold standard, the WHO-5 Well-Being Index obtained satisfactory results for sensitivity (82.5%) and specificity (70.3%) as a screening tool for affective disorders when used with an adjusted cut-off-point of < or = 12. While none of the 18.5% male participants diagnosed with major depression received treatment, half of the 24% of female participants with major depression received treatment.

conclusionScreening with the WHO-5 within unemployment offices is useful to detect people with depressive disorders. Many of them do not receive optimal treatment and can be motivated to seek professional help. Reducing depression by better treatment will also increase the chances of reemployment.

Indexed as

Health StatusSurveys and QuestionnairesAge FactorsDepressive DisorderDysthymic DisorderFemaleGermanyHumansInternational Classification of DiseasesMajor Depressive DisorderMaleMass ScreeningMiddle AgedOccupational Health ServicesPredictive Value of TestsPrevalence

Identifiers

PMID19048174
OpenAlexW2015297892

What OpenQuestion holds

Textmetadata
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.