Evidence map›Paper›PMID 34804242›Full record

ArticleIntelligent service robotics2021

Companion robots for older adults: Rodgers' evolutionary concept analysis approach.

Jeongeun Kim, Sukwha Kim, Seongheui Kim, Euehun Lee, Yoonjeong Heo, Cheol-Yong Hwang, Yun-Young Choi, Hyoun-Joong Kong, Hyeongju Ryu, Hyeongsuk Lee

Open access · bronzeAbstract read
In one paragraph

Article in Intelligent service robotics, 2021. 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
3.3field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

10 authors at 4 institutions in 1 country.

Jeongeun KimResearch Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.
Sukwha KimDepartment of Reconstructive Plastic Surgery, Medical Big Data Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seongheui KimCollege of Fine Arts, Seoul National University, Seoul, Republic of Korea.
Euehun LeeKorea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Yoonjeong HeoCollege of Music, Seoul National University, Seoul, Republic of Korea.
Cheol-Yong HwangCollege of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Yun-Young ChoiCollege of Humanities, Seoul National University, Seoul, Republic of Korea.
Hyoun-Joong KongTransdisciplinary Department of Medicine and Advanced Technology (TDMAT), Seoul National University Hospital, Seoul, Republic of Korea.
Hyeongju RyuSeoul National University Hospital, Seoul, Republic of Korea.
Hyeongsuk LeeCollege of Nursing, Gachon University, Seoul, Republic of Korea.ORCID 0000-0001-7597-3163
Seoul National University · KRSeoul National University Hospital · KRGachon University · KRKorea Advanced Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to analyze the concept of companion robots for older adults from the perspective of nursing. This study employed a concept analysis. The literature from July 2011 to June 2021 was sought from databases using specific keywords. Any quantitative or qualitative study published in English or Korean focusing on companion robots for older adults was included in the study. Rodgers' evolutionary concept analysis was used to clarify the antecedents, attributes, and consequences. Seventy-five eligible articles were studied. The findings were categorized into antecedents, attributes, and consequences. Companion robot antecedents were classified into individual factors, attitude toward robots, and caregiver and social factors. The defining attributes included human-robot interaction, function, features, structure, cost, and management of the robot being a companion. Consequences were categorized into user, caregiver, and health related. Companion robots are designed to enhance well-being, quality of life, and independence by providing service and companionship and assisting daily life. This mainly includes cognitive and social support, mobility support, relaxation, health monitoring, and self-care support through human-robot interaction. The attributes, antecedents, and consequences of companion robots identified in this study can inform future decision making and interventions by caregivers for aging in place.

Indexed as

Aging in placeCompanion robotConcept analysisNursing careOlder adults

Identifiers

PMID34804242
PMCPMC8593639
OpenAlexW3214206622

What Socratic holds

Textmetadata
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 Socratic graph.