Evidence map›Paper›PMID 37827996›Full record

ArticleBJPsych open2023

Chatbot-supported psychoeducation in adult attention-deficit hyperactivity disorder: randomised controlled trial.

Benjamin Selaskowski, Meike Reiland, Marcel Schulze, Behrem Aslan, Kyra Kannen, Annika Wiebe, Torben Wallbaum, Susanne Boll, Silke Lux, Alexandra Philipsen and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% 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, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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

11 authors at 3 institutions in 1 country.

Benjamin SelaskowskiDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.ORCID https://orcid.org/0000-0002-4117-8265
Meike ReilandDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Marcel SchulzeDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Behrem AslanDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Kyra KannenDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Annika WiebeDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Torben WallbaumDepartment of Information and Communication, Flensburg University of Applied Sciences, Germany.
Susanne BollDepartment of Computing Science, University of Oldenburg, Germany.
Silke LuxDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
Alexandra PhilipsenDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.ORCID https://orcid.org/0000-0001-6876-518X
Niclas BraunDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Germany.
University Hospital Bonn · DECarl von Ossietzky Universität Oldenburg · DEFlensburg University of Applied Sciences · DE

Funding

Bundesministerium für Bildung und Forschung 16SV7782
6 · The paper itself

Abstract

backgroundAlthough psychoeducation is generally recommended for the treatment of adult attention-deficit hyperactivity disorder (ADHD), participation in clinical psychoeducation groups is impeded by waiting times and the constrained number of patients who can simultaneously attend a group. Digital psychoeducation attempts are promising, but the rapidly expanding number of apps lack evidence and are mostly limited to only a few implemented interactive elements.

aimsTo determine the potential of digital, self-guided psychoeducation for adult ADHD, a newly developed interactive chatbot was compared with a previously validated, conventional psychoeducation app.

methodForty adults with ADHD were randomised, of whom 17 participants in each group completed self-guided psychoeducation based on either a chatbot or conventional psychoeducation app between October 2020 and July 2021. ADHD core symptoms were assessed before and after the 3-week interventions, using both the blinded observer-rated Integrated Diagnosis of ADHD in Adulthood interview and the self-rated ADHD Self-Assessment Scale (ADHS-SB).

resultsObserver- and patient-rated ADHD symptoms were significantly reduced from pre- to post-intervention (observer-rated: mean difference -6.18, 95% CI -8.06 to -4.29; patient-rated: mean difference -2.82, 95% CI -4.98 to -0.67). However, there were no group × intervention interaction effects that would indicate a stronger therapeutic benefit of one of the interventions. Likewise, administered psychoeducational knowledge quizzes did not show differences between the groups. No adverse events were reported.

conclusionsSelf-guided psychoeducation based on a chatbot or a conventional app appears similarly effective and safe for improving ADHD core symptoms. Future research should compare additional control interventions and examine patient-related outcomes and usability preferences in detail.

Indexed as

Attention-deficit hyperactivity disorderchatbotconversational agentdigital healthsmartphone-assisted psychoeducation

Identifiers

PMID37827996
PMCPMC10594162
OpenAlexW4387564877

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.