Evidence map›Paper›PMID 41584876›Full record

ReviewJournal of Korean gerontological nursing2024

Effectiveness of artificial intelligence robot interventions on psychological health in community-dwelling older adults: A systematic review.

Yujin Park, Sun Ju Chang, Hee Jung Kim, Ha Na Jeong

Abstract readReview
In one paragraph

Review in Journal of Korean gerontological nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Yujin ParkDoctoral Student, College of Nursing, Seoul National University, Seoul, Korea.ORCID 0009-0003-4727-0550
Sun Ju ChangProfessor, College of Nursing • The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.ORCID 0000-0001-6967-1564
Hee Jung KimLecturer, College of Nursing, Seoul National University, Seoul, Korea.ORCID 0000-0002-9149-3175
Ha Na JeongAssistant Professor, College of Nursing, Konyang University, Daejeon, Korea.ORCID 0000-0002-7173-359X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The global older adult population is rapidly growing, intensifying the burden of elderly care. To alleviate this challenge of an aging society, interventions utilizing artificial intelligence (AI) technology are becoming widespread. This review aimed to examine the effects of AI robot interventions on the psychological outcomes of community-dwelling older adults through a systematic literature review. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was employed to identify and select relevant studies. Seven electronic databases were thoroughly searched for eligible studies from June 1st to 30th, 2023. Methodological quality was assessed using RoB 2.0 or RoBANS 2. Results: Thirteen studies (five randomized controlled trials and eight quasi-experimental studies) were selected in the systematic review. Among the selected studies, eight provided AI robot interventions individually, whereas five used a group format, primarily addressing older adults with cognitive impairment or dementia. Depression was the most frequently addressed psychological outcome, with six of ten studies reporting significant effects. Additionally, five studies each highlighted significant effects on emotions, such as positive expressiveness and enjoyment. However, quality of life, anxiety, and loneliness revealed divergent results. Conclusion: AI robots show potential in alleviating psychological challenges for older adults. However, due to the scarcity of high-quality studies, the review recommends conducting more randomized controlled trials with rigorous designs. This review is expected to provide valuable insights for planning and executing AI robot interventions to improve psychological outcomes for community-dwelling older adults in future research.

Indexed as

AgedArtificial intelligenceRoboticsSystematic review

Identifiers

PMID41584876
PMCPMC12384341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.