Evidence map›Paper›PMID 28619701›Full record

Trial reportJournal of medical Internet research2017

Effectiveness of a Web-Based Intervention in Reducing Depression and Sickness Absence: Randomized Controlled Trial.

Till Beiwinkel, Tabea Eißing, Nils-Torge Telle, Elisabeth Siegmund-Schultze, Wulf Rössler

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 10 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

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

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  10. Interventions to improve return to work in depressed people.The Cochrane database of systematic reviews · 2020
    Pooled it
  11. Trial
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  14. Clinical utility of digital technologies in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
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  16. Article
  17. Article
  18. Digital Health Applications in the Area of Mental Health.Deutsches Arzteblatt international · 2023
    Review
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  20. 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

5 authors.

Till BeiwinkelInnovation Incubator, Competence Tandem Integrated Care, Leuphana University of Lüneburg, Lüneburg, Germany.ORCID 0000-0003-3789-6712
Tabea EißingInnovation Incubator, Competence Tandem Integrated Care, Leuphana University of Lüneburg, Lüneburg, Germany.ORCID 0000-0002-2251-1018
Nils-Torge TelleInnovation Incubator, Competence Tandem Integrated Care, Leuphana University of Lüneburg, Lüneburg, Germany.ORCID 0000-0002-2032-5406
Elisabeth Siegmund-SchultzeKKH Kaufmännische Krankenkasse, Abteilung Leistungs- und Versorgungsmanagement, Hannover, Germany.ORCID 0000-0003-0999-3603
Wulf RösslerInnovation Incubator, Competence Tandem Integrated Care, Leuphana University of Lüneburg, Lüneburg, Germany.ORCID 0000-0003-0049-4533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is highly prevalent in the working population and is associated with significant loss of workdays; however, access to evidence-based treatment is limited.

objectiveThis study evaluated the effectiveness of a Web-based intervention in reducing mild to moderate depression and sickness absence.

methodsIn an open-label randomized controlled trial, participants were recruited from a large-scale statutory health insurance and were assigned to two groups. The intervention group had access to a 12 week Web-based program consisting of structured interactive sessions and therapist support upon request. The wait-list control group had access to unguided Web-based psycho-education. Depressive symptoms were self-assessed at baseline, post-treatment, and follow-up (12 weeks after treatment) using the Patient Health Questionnaire (PHQ-9) and Beck Depression Inventory (BDI-II) as primary outcome measures. Data on sickness absence was retrieved from health insurance records. Intention-to-treat (ITT) analysis and per-protocol (PP) analysis were performed.

resultsOf the 180 participants who were randomized, 88 completed the post-assessment (retention rate: 48.8%, 88/180). ITT analysis showed a significant between-group difference in depressive symptoms during post-treatment in favor of the intervention group, corresponding to a moderate effect size (PHQ-9: d=0.55, 95% CI 0.25-0.85, P<.001, and BDI-II: d=0.41, CI 0.11-0.70, P=.004). PP analysis partially supported this result, but showed a non-significant effect on one primary outcome (PHQ-9: d=0.61, 95% CI 0.15-1.07, P=.04, and BDI-II: d=0.25 95% CI -0.18 to 0.65, P=.37). Analysis of clinical significance using reliable change index revealed that significantly more participants who used the Web-based intervention (63%, 63/100) responded to the treatment versus the control group (33%, 27/80; P<.001). The number needed to treat (NNT) was 4.08. Within both groups, there was a reduction in work absence frequency (IG: -67.23%, P<.001, CG: -82.61%, P<.001), but no statistical difference in sickness absence between groups was found (P=.07).

conclusionsThe Web-based intervention was effective in reducing depressive symptoms among adults with sickness absence. As this trial achieved a lower power than calculated, its results should be replicated in a larger sample. Further validation of health insurance records as an outcome measure for eHealth trials is needed.

trial registrationInternational Standard Randomized Controlled Trial Number (ISRCTN): 02446836; http://www.isrctn.com/ISRCTN02446836 (Archived by WebCite at http://www.webcitation.org/6jx4SObnw).

Indexed as

AdultDepressionFemaleHumansIllness BehaviorInternetMaleMiddle AgedQuality of LifeTelemedicineabsenteeismcognitive therapydepressionInternetrandomized controlled trial

Identifiers

PMID28619701
PMCPMC5491897

What OpenQuestion holds

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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.