Evidence map›Paper›PMID 31094355›Full record

ArticleJMIR mental health2019

Economic Evaluation of an Internet-Based Stress Management Intervention Alongside a Randomized Controlled Trial.

Fanny Kählke, Claudia Buntrock, Filip Smit, Matthias Berking, Dirk Lehr, Elena Heber, Burkhardt Funk, Heleen Riper, David Daniel Ebert

Abstract read
In one paragraph

Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Digital interventions in mental health: evidence syntheses and economic modelling.Health technology assessment (Winchester, England) · 2022
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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

9 authors.

Fanny KählkeInstitute for Psychology, Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-8189-301X
Claudia Buntrock *Institute for Psychology, Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-4974-5455
Filip SmitAmsterdam Public Health, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0001-9479-3600
Matthias BerkingInstitute for Psychology, Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-5903-4748
Dirk LehrInstitute for Psychology, Department of Health Psychology and Applied Biological Psychology, Leuphana University, Lüneburg, Germany.ORCID http://orcid.org/0000-0002-5560-3605
Elena HeberGET.ON Institute for Online Health Trainings, Hamburg, Germany.ORCID http://orcid.org/0000-0002-3438-0756
Burkhardt FunkInstitute of Information Systems, Leuphana University, Lüneburg, Germany.ORCID http://orcid.org/0000-0001-5855-2666
Heleen RiperAmsterdam Public Health, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-8144-8901
David Daniel EbertInstitute for Psychology, Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-6820-0146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWork-related stress is widespread among employees and associated with high costs for German society. Internet-based stress management interventions (iSMIs) are effective in reducing such stress. However, evidence for their cost-effectiveness is scant.

objectiveThe aim of this study was to assess the cost-effectiveness of a guided iSMI for employees.

methodsA sample of 264 employees with elevated symptoms of perceived stress (Perceived Stress Scale≥22) was assigned to either the iSMI or a waitlist control condition (WLC) with unrestricted access to treatment as usual. Participants were recruited in Germany in 2013 and followed through 2014, and data were analyzed in 2017. The iSMI consisted of 7 sessions plus 1 booster session. It was based on problem-solving therapy and emotion regulation techniques. Costs were measured from the societal perspective, including all direct and indirect medical costs. We performed a cost-effectiveness analysis and a cost-utility analysis relating costs to a symptom-free person and quality-adjusted life years (QALYs) gained, respectively. Sampling uncertainty was handled using nonparametric bootstrapping (N=5000).

resultsWhen the society is not willing to pay anything to get an additional symptom-free person (eg, willingness-to-pay [WTP]=€0), there was a 70% probability that the intervention is more cost-effective than WLC. This probability rose to 85% and 93% when the society is willing to pay €1000 and €2000, respectively, for achieving an additional symptom-free person. The cost-utility analysis yielded a 76% probability that the intervention is more cost-effective than WLC at a conservative WTP threshold of €20,000 (US $25,800) per QALY gained.

conclusionsOffering an iSMI to stressed employees has an acceptable likelihood of being cost-effective compared with WLC.

trial registrationGerman Clinical Trials Register DRKS00004749; https://www.drks.de/DRKS00004749. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/1471-2458-13-655.

Indexed as

clinical trials, randomizedeconomic evaluationinternetoccupational stressquality of lifework

Identifiers

PMID31094355
PMCPMC6707573

What OpenQuestion holds

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LicenceCC BY
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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.