Evidence map›Paper›PMID 19911209›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2010

Health costs in patients treated for depression, in patients with depressive symptoms treated for another chronic disorder, and in non-depressed patients: a two-year prospective cohort study in anthroposophic outpatient settings.

Harald J Hamre, Claudia M Witt, Anja Glockmann, Renatus Ziegler, Gunver S Kienle, Stefan N Willich, Helmut Kiene

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  7. Comparison of Effect ofJournal of clinical and diagnostic research : JCDR · 2017
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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 3 institutions in 2 countries.

Harald J HamreInstitute for Applied Epistemology and Medical Methodology, Zechenweg 6, 79111 Freiburg, Germany. harald.hamre@ifaemm.de
Claudia M Witt
Anja Glockmann
Renatus Ziegler
Gunver S Kienle
Stefan N Willich
Helmut Kiene
Charité - Universitätsmedizin Berlin · DEOeko Institut · DEVerein für Krebsforschung · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied costs of healthcare and productivity loss in 487 German outpatients starting anthroposophic treatment: Group 1 was treated for depression, Group 2 had depressive symptoms but were treated for another chronic disorder, while Group 3 did not have depressive symptoms. Costs were adjusted for socio-demographics, comorbidity, and baseline health status. Total costs in groups 1-3 averaged euro7,129, euro4,371, and euro3,532 in the pre-study year (P = 0.008); euro6,029, euro3,522, and euro3,353 in the first year (P = 0.083); and euro4,929, euro3,792, and euro4,031 in the second year (P = 0.460). In the 2nd year, costs were significantly reduced in Group 1. This study underlines the importance of depression for health costs, and suggests that treatment of depression could be associated with long-term cost reductions.

Indexed as

AdolescentAdultAgedAntidepressive AgentsChronic DiseaseConfidence IntervalsCost-Benefit AnalysisDepressionEfficiencyFemaleGermanyHealth Care CostsHealth Status IndicatorsHumansMaleMiddle AgedAntidepressive Agents

Identifiers

PMID19911209
PMCPMC2816246
OpenAlexW2155391996

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.