Evidence map›Paper›PMID 31175475›Full record

ArticleHealth economics review2019

Health economic evaluation of a web-based intervention for depression: the EVIDENT-trial, a randomized controlled study.

Viola Gräfe, Thomas Berger, Martin Hautzinger, Fritz Hohagen, Wolfgang Lutz, Björn Meyer, Steffen Moritz, Matthias Rose, Johanna Schröder, Christina Späth and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health economics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 5 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

10 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Digital interventions in mental health: evidence syntheses and economic modelling.Health technology assessment (Winchester, England) · 2022
    Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
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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

12 authors.

Viola GräfeDepartment of Health Economics and Health Care Management, School of Public Health, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany. viola.graefe@uni-bielefeld.de.ORCID http://orcid.org/0000-0002-0314-2042
Thomas BergerDepartment of Clinical Psychology and Psychotherapy, University of Bern, Hochschulstrasse 6, 3012, Bern, Switzerland.
Martin HautzingerDepartment of Psychology, Eberhard Karls University Tuebingen, Schleichstraße 4, 72076, Tuebingen, Germany.
Fritz HohagenDepartment of Psychiatry and Psychotherapy, University of Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany.
Wolfgang LutzDepartment of Psychology, University of Trier, Am Wissenschaftspark 25, +2754296, Trier, Germany.
Björn MeyerResearch Department, Gaia AG, Hans-Henny-Jahnn-Weg, 5322085, Hamburg, Germany.
Steffen MoritzThe Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Matthias RoseDepartment of Psychosomatic Medicine, Charité University Medical Center, Hindenburgdamm 30, 12200, Berlin, Germany.
Johanna SchröderThe Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Christina SpäthDepartment of Psychiatry and Psychotherapy, University of Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany.
Jan Philipp KleinDepartment of Psychiatry and Psychotherapy, University of Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany.
Wolfgang GreinerDepartment of Health Economics and Health Care Management, School of Public Health, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany.

Funding

Bundesministerium für Gesundheit II A 5-2512 FSB 052
6 · The paper itself

Abstract

backgroundDepression often remains undiagnosed or treated inadequately. Web-based interventions for depression may improve accessibility of treatment and reduce disease-related costs. This study aimed to examine the potential of the web-based cognitive behavioral intervention "deprexis" in reducing disease-related costs.

methodsParticipants with mild to moderate depressive symptoms were recruited and randomized to either a 12-week web-based intervention (deprexis) in addition to care as usual (intervention group) or care as usual (control group). Outcome measures were health-related resource use, use of medication and incapacity to work as well as relating direct health care costs. Outcomes were assessed on patients' self-report at baseline, three months and six months.

resultsA total of 1013 participants were randomized. In both groups total direct health care costs decreased during the study period, but changes from baseline did not significantly differ between study groups. Numeric differences between study groups existed in outpatient treatment costs. They could be attributed to differences in changes of costs for psychotherapeutic treatment from baseline. Whereas costs for psychotherapeutic treatment decreased in the intervention group, costs increased in the control group (- 16.8% (€80) vs. + 14.7% (€60)) (t

conclusionThe study indicates the health economic potential of innovative e-mental-health programs. There is evidence to suggest that the use of deprexis over a period of 12 weeks leads to a decrease in outpatient treatment cost, especially in those related to different types of psychotherapeutic treatment.

Indexed as

DepressionDeprexisEconomic issuesE-mental-healthHealth economic evaluationOutcome studiesRandomized controlled trial

Identifiers

PMID31175475
PMCPMC6734272

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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.