Evidence map›Paper›PMID 36424648›Full record

ArticleChild and adolescent psychiatry and mental health2022

Effects of artificial intelligence aibo intervention on alleviating distress and fear in children.

Kyoko Tanaka, Maoko Hayakawa, Chihiro Noda, Akio Nakamura, Chieko Akiyama

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Kyoko TanakaNational Center for Child Health and Development, Setagaya-Ku, Tokyo, Japan. tanaka-kyo@ncchd.go.jp.ORCID http://orcid.org/0000-0003-0117-0477
Maoko HayakawaNational Center for Child Health and Development, Setagaya-Ku, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5860-8030
Chihiro NodaNational Center for Child Health and Development, Setagaya-Ku, Tokyo, Japan.
Akio NakamuraNational Center for Child Health and Development, Setagaya-Ku, Tokyo, Japan.ORCID http://orcid.org/0000-0002-7220-9028
Chieko AkiyamaClinic for Children, Akiyama Kodomo Clinic, Mitaka, Tokyo, Japan.
National Center For Child Health and Development · JPAkebono Clinic · JPJuntendo University · JPOchanomizu University · JP

Funding

AI Hospital Project, Cabinet Office, Government of Japan 2304080405National Center for Child Health and Development 30-15
6 · The paper itself

Abstract

backgroundProcedures and actions such as injections and immobilization cause distress to children. In the pediatric field, there is a need for interventions and support to alleviate the pain and distress caused by such medical procedures. In recent years, the introduction of robots as a means of distraction has begun to be attempted.

methodsIn this study, we conducted a non-randomized controlled trial to examine the effect of intervention using 'aibo', a dog-like robot which has artificial intelligence (AI), to promote distraction in children after vaccination. Children between the ages of 3 and 12 years old eligible for the Japanese encephalitis vaccine, and their caregivers were assigned to intervention group or control group. Then, children evaluated their pain and children's behavior were observed by observer. The mean values of Faces pain rating scale scores and observer pain scale scores were compared between groups using an unpaired t-test.

resultsFifty-seven children (32 in the intervention group) participated in the study. Results of a t-test with the control group showed that the intervention group using aibo had significantly less pain following the post-vaccination intervention than the control group using stuffed dog (Face Scale, t(55) = 2.582, p = .0125; Behavioral Observation Scale, t(55) = 2.772, p = .00759). The results support the hypothesis that the aibo intervention group will be less distressed and able to calm down more quickly after vaccination than the control group.

conclusionInteractive communicative play intervention by an artificially intelligent aibo before and after painful and frightening medical procedures may alleviate fear and anxiety and prevent medical trauma in children.

Indexed as

Artificial IntelligenceMedical traumaPaediatric robot-assisted therapyVaccination

Identifiers

PMID36424648
PMCPMC9685979
OpenAlexW4309889975

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.