Evidence map›Paper›PMID 41812215›Full record

ArticleJMIR aging2026

Humanoid Robot-Assisted Support for Health Care in Older Adults: Systematic Scoping Review.

Lei Cui, Yufei Li, Xinyao Yang, Xue Liu, Like Zhang, Lili Hou

Abstract readScoping Review
In one paragraph

Article in JMIR aging, 2026. 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. Review
  2. Article
  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

6 authors.

Lei CuiSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0001-7805-0751
Yufei LiSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0000-7305-6054
Xinyao YangSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0002-1349-9141
Xue LiuSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0007-7589-9937
Like ZhangSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0005-9705-325X
Lili HouDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639, Zhizaoju Road, Huangpu District, Shanghai, 200011, China, 86 13816033620.ORCID http://orcid.org/0000-0001-6489-1744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Humanoid robots offer a promising solution to the growing burden of care for older adults. However, existing evidence on their applications for general aging populations remains fragmented and lacks systematic synthesis. Objective: This scoping review aimed to examine the literature on humanoid robot-assisted support for health care in older adults and identify gaps in the literature to guide future research. Methods: The methodological framework by Arksey and O'Malley was used to conduct this scoping review. We conducted a comprehensive search in 8 databases, including IEEE Xplore Digital Library, CINAHL, Cochrane Library, EMBASE, PubMed, Scopus, Web of Science, and OpenGrey Repository, covering literature published up to April 30, 2025. The reference lists of key texts were examined, and citation chaining was conducted. Two independent reviewers examined all full articles for fitness with the eligibility criteria and extracted data elements. The study findings were then summarized, coded, and analyzed using the PAGER (Patterns, Advances, Gaps, Evidence for practice, and Research recommendations) framework. Results: A total of 32,477 articles were retrieved, 59 of which were included in this review. The majority (49/59, 83%) were conducted in real-world settings. Methodologically, 34 studies (34/59, 58%) had small sample sizes (n≤25), with study designs comprising 26 quantitative (26/59, 44%), 22 mixed method (22/59, 37%), and 11 qualitative (11/59, 19%) approaches. Participant characteristics revealed female predominance (>50%) in 32 studies (32/59, 54%), while 27 studies (27/59, 46%) included participants with cognitive impairment. Through PAGER framework analysis, we identified 4 key patterns: (1) effects, perceptions, and experiences of humanoid robots; (2) preferences, expectations, and facilitators for humanoid robots; (3) implementation barriers and challenges; and (4) determinants of user experiences and outcomes. Conclusions: This scoping review demonstrates the promising yet methodologically constrained potential of humanoid robots in health care for older adults while highlighting key challenges in their practical implementation. Successful integration will require addressing technical limitations, user acceptance barriers, and systemic adoption challenges.

Indexed as

RoboticsAgedHumanshumanoid robotsolderolder adultsroboticsscoping reviewsocially assistive robots

Identifiers

PMID41812215
PMCPMC12978656

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.