Evidence map›Paper›PMID 40720251›Full record

ArticleEpilepsia open2025

Evaluating the impact of an AI-powered chatbot on epilepsy education and stigma reduction: A pre-post intervention study using EpiloBot.

Izumi Kuramochi, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu and 1 more

Abstract read
In one paragraph

Article in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Izumi KuramochiDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.ORCID https://orcid.org/0000-0002-6416-5213
Ryoya ObaGraduate School of Science and Engineering, Saitama University, Saitama, Japan.
Naoki NozawaGraduate School of Science and Engineering, Saitama University, Saitama, Japan.
Tomoki IshiharaDepartment of Medicine, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Koko OgaDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Takayuki IwayamaDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.ORCID https://orcid.org/0000-0003-2191-4146
Takafumi ShiganamiDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Sayaka KobayashiDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Hironori KugaNational Center of Neurology and Psychiatry, Cognitive Behavioral Therapy Center, Tokyo, Japan.
Haruo YoshimasuDepartment of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Keiichi WatanukiGraduate School of Science and Engineering, Saitama University, Saitama, Japan.

Funding

Japan Epilepsy Research Foundation TENKAN 23006Japan Society for the Promotion of Science JP21K13709Saitama University & Saitama Medical University Collaborative Grant 23J13
6 · The paper itself

Abstract

objectiveEffective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)-powered chatbot designed to provide epilepsy education and psychosocial support, through a pre-post intervention study measuring changes in knowledge, attitudes, and self-stigma among people with epilepsy (PWE) and their supporters (including caregivers, family members, friends, or others closely involved with someone with epilepsy).

methodsThe study consisted of two phases: a preliminary pretest phase to refine chatbot content and a main intervention phase. In the main phase, 176 participants (13 PWE, 69 active supporters, 28 potential future supporters, and 66 others) registered to use EpiloBot via the smartphone app. Of these, 82 completed both pre- and post-intervention surveys. The surveys assessed epilepsy-related knowledge, workplace attitudes, and self-stigma before and after chatbot use. Paired t-tests and Wilcoxon signed-rank tests were used to analyze changes over time.

resultsThe chatbot intervention led to a significant improvement in attitudes toward workplace equality for PWE (p < 0.001) and in knowledge about epilepsy treatment (p = 0.022). A slight increase in epilepsy-related self-stigma was observed among participants with epilepsy (n = 9, p = 0.022). Non-significant results were removed to streamline the findings. These results highlight the chatbot's potential as a scalable digital tool for epilepsy education and psychosocial support, although the challenge of addressing self-stigma remains a critical issue for future applications. SIGNIFICANCE: EpiloBot demonstrates effectiveness in enhancing epilepsy-related knowledge and workplace attitudes but also reveals the complexities of self-stigma dynamics. While educational interventions can promote inclusivity and knowledge gain, self-stigma may increase due to heightened awareness of epilepsy-related challenges. Future studies should explore long-term impacts, integrating educational and psychosocial support interventions to optimize chatbot-based learning in epilepsy care. PLAIN LANGUAGE SUMMARY: This study tested EpiloBot, an AI-powered chatbot designed to educate people with epilepsy (PWE) and their supporters, including caregivers and family members. We measured changes in epilepsy-related knowledge, attitudes, and self-stigma before and after chatbot use. Results showed improved attitudes toward PWE in the workplace and increased understanding of epilepsy treatment. However, self-stigma slightly increased among PWE, possibly due to greater awareness of social challenges, highlighting the need for long-term psychosocial support alongside education.

Indexed as

artificial intelligencechatbot‐based learningeHealth interventionsmental health carepre‐post studyquality of life

Identifiers

PMID40720251
PMCPMC13394662

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.