Evidence map›Paper›PMID 27450686›Full record

Trial reportSleep2016

Internet-Based Cognitive Behavioral Therapy for Insomnia: A Health Economic Evaluation.

Hanne Thiart, David Daniel Ebert, Dirk Lehr, Stephanie Nobis, Claudia Buntrock, Matthias Berking, Filip Smit, Heleen Riper

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Sleep, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 9 pooled it
11.5field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 9 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  11. Effects of an Internet-Based Cognitive Behavioral Therapy for Insomnia Program on Work Productivity: A Secondary Analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Hanne ThiartInnovation Incubator, Division of Health Training Online, Leuphana University Lueneburg, Lueneburg, Germany.
David Daniel EbertDepartment of Clinical Psychology and Psychotherapy, University Erlangen-Nuremberg, Erlangen, Germany.
Dirk LehrInnovation Incubator, Division of Health Training Online, Leuphana University Lueneburg, Lueneburg, Germany.
Stephanie NobisInnovation Incubator, Division of Health Training Online, Leuphana University Lueneburg, Lueneburg, Germany.
Claudia BuntrockInnovation Incubator, Division of Health Training Online, Leuphana University Lueneburg, Lueneburg, Germany.
Matthias BerkingDepartment of Clinical Psychology and Psychotherapy, University Erlangen-Nuremberg, Erlangen, Germany.
Filip SmitCenter of Economic Evaluation, Trimbos Institute (Netherlands Institute of Mental health and Addiction), Utrecht, The Netherlands.
Heleen RiperDepartment of Clinical, Developmental and Neuro Psychology, Section of Clinical Psychology, Vrije Universiteit, EMGO+ Institute for Health and Care Research, VUmc, Amsterdam, The Netherlands.
Leuphana University of Lüneburg · DEEMGO Institute for Health and Care Research · NLFriedrich-Alexander-Universität Erlangen-Nürnberg · DETrimbos Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesLost productivity caused by insomnia is a common and costly problem for employers. Although evidence for the efficacy of Internet-based cognitive behavioral therapy for insomnia (iCBT-I) already exists, little is known about its economic effects. This study aims to evaluate the cost-effectiveness and cost-benefit of providing iCBT-I to symptomatic employees from the employer's perspective.

methodsSchool teachers (N = 128) with clinically significant insomnia symptoms and work-related rumination were randomized to guided iCBT-I or a waitlist-control-group, both with access to treatment as usual. Economic data were collected at baseline and 6-mo follow-up. We conducted (1) a cost-effectiveness analysis with treatment response (Reliable Change [decline of 5.01 points] and Insomnia Severity Index < 8 at 6-month follow-up) as the outcome and (2) a cost-benefit analysis. Because both analyses were performed from the employer's perspective, we focused specifically on absenteeism and presenteeism costs. Statistical uncertainty was estimated using bootstrapping.

resultsAssuming intervention costs of €200 ($245), cost-effectiveness analyses showed that at a willingness-to-pay of €0 for each positive treatment response, there is an 87% probability that the intervention is more cost effective than treatment as usual alone. Cost-benefit analyses led to a net benefit of €418 (95% confidence interval: -593.03 to 1,488.70) ($512) per participant and a return on investment of 208% (95% confidence interval: -296.52 to 744.35). The reduction in costs was mainly driven by the effects of the intervention on presenteeism and to a lesser degree by reduced absenteeism.

conclusionsFocusing on sleep improvement using iCBT-I may be a cost-effective strategy in occupational health care. CLINICAL TRIALS REGISTRATION: Title: Online Recovery Training for Better Sleep in Teachers with High Psychological Strain. German Clinical Trial Register (DRKS), URL: https://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00004700. Identifier: DRKS00004700. COMMENTARY: A commentary on this article appears in this issue on page 1767.

Indexed as

Cost-Benefit AnalysisAbsenteeismAdultCognitive Behavioral TherapyFemaleGermanyHumansInternetMaleMiddle AgedSchool TeachersSleep Initiation and Maintenance DisordersWaiting Listscost-benefitcost-effectivenessemployer perspectiveinsomniaInternetrandomized controlled trialself-help

Identifiers

PMID27450686
PMCPMC5020359
OpenAlexW2498149317

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.