Evidence map›Paper›PMID 31747935›Full record

SynthesisSystematic reviews2019

Acceptability, feasibility, and efficacy of Internet cognitive behavioral therapy (iCBT) for pediatric obsessive-compulsive disorder: a systematic review.

Lucía Babiano-Espinosa, Lidewij H Wolters, Bernhard Weidle, Vivian Op de Beek, Sindre A Pedersen, Scott Compton, Norbert Skokauskas

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 2 institutions in 3 countries.

Lucía Babiano-EspinosaDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU), Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Lucia.babiano-espinosa@ntnu.no.ORCID 0000-0002-1529-3075
Lidewij H WoltersDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU), Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Bernhard WeidleDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU), Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Vivian Op de BeekDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU), Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Sindre A PedersenHealth, Library Section for Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7030, Trondheim, Norway.
Scott ComptonDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2200 W Main St #340, Durham, NC, 27705, USA.
Norbert SkokauskasDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU), Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Norwegian University of Science and Technology · NODuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObsessive-compulsive disorder (OCD) is a chronic mental health disorder characterized by recurring obsessions and compulsions affecting 1-3% of children and adolescents. Current treatment options are limited by accessibility, availability, and quality of care. New technologies provide opportunities to address at least some of these challenges. This paper aims to investigate the acceptability, feasibility, and efficacy of traditional cognitive behavioral therapy with Internet cognitive behavioral therapy (iCBT) for pediatric OCD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

methodWe searched EMBASE, Medline, PsycINFO, CENTRAL, LILACS, CINAHL, and Scopus. Results include articles from 1987 to March 2018. Main inclusion criteria were patients aged 4-18, primary diagnosis of OCD, and iCBT.

resultsOf the 2323 unique articles identified during the initial search, six studies with a total of 96 participants met our inclusion criteria: three randomized controlled trials, one single-case multiple-baseline design, one open-label trial, and one case series. Four studies reported a significant decrease in OCD severity on the Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) following iCBT, one study reported significant decrease in CY-BOCS scores for iCBT relative to waitlist, and the case series reported (some) symptom reduction in all participants. Six studies reported high rates of feasibility, and five studies reported good acceptability of iCBT.

conclusionAt present, evidence regarding acceptability, feasibility, and efficacy of iCBT for pediatric OCD is limited. Results are promising but need to be confirmed and refined in further research. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD4201808587.

Indexed as

InternetAdolescentChildChild, PreschoolCognitive Behavioral TherapyFeasibility StudiesHumansObsessive-Compulsive DisorderPatient Acceptance of Health CareAdolescentChildCognitive behavioral therapyeHealthObsessive-compulsive disorder

Identifiers

PMID31747935
PMCPMC6864940
OpenAlexW2990970480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.