Evidence map›Paper›PMID 39968438›Full record

ArticleCureus2025

The Long-Term Use of Communication Robots by Users of Visiting Healthcare Services: Development of an Integrated Vital Signs Measurement System.

Toshiaki Takahashi, Shiho Higashimura, Tsuneki Ninomiya, Sachiyo Fujimura, Naoki Sugimoto, Tetsuhiko Horai, Tomoko Abe, Aya Kitamura, Masaru Matsumoto, Gojiro Nakagami and 1 more

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Toshiaki TakahashiNursing, The University of Tokyo, Tokyo, JPN.
Shiho HigashimuraNursing, Shonan University of Medical Sciences, Kamakura, JPN.
Tsuneki NinomiyaRobotics, Fujisoft Incorporated, Yokohama, JPN.
Sachiyo FujimuraRobotics, Fujisoft Incorporated, Yokohama, JPN.
Naoki SugimotoRobotics, Fujisoft Incorporated, Yokohama, JPN.
Tetsuhiko HoraiRehabilitation, Visiting Nursing Station Kesera, Tokyo, JPN.
Tomoko AbeNursing, Visiting Nursing Station Kesera, Tokyo, JPN.
Aya KitamuraNursing, Ishikawa Prefectural Nursing University, Ishikawa, JPN.
Masaru MatsumotoNursing, Ishikawa Prefectural Nursing University, Ishikawa, JPN.
Gojiro NakagamiNursing, The University of Tokyo, Tokyo, JPN.
Hiromi SanadaNursing, Ishikawa Prefectural Nursing University, Ishikawa, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose This study explores the use of communication robots (CRs) to sustain self-care behaviors among older adults, addressing motivational challenges. Method We used the CR PALRO® (FUJISOFT, Kanagawa, Japan) and developed a system to wirelessly transmit vital signs data (temperature, blood pressure, pulse oximetry) to cloud storage. PALRO reviewed the data and provided feedback to the user. One participant, a woman in her 90s living alone and using a nursing service, was recruited with ethical approval from the University of Tokyo's Ethical Review Board. Results Before using the CR, the participant had stopped measuring her temperature and blood pressure. After implementation, she measured her vital signs for 334 days, storing the data in the cloud. The system prompted measurements without reminders 248 times in 334 days (74.3%) and gave feedback when measurements were missed. Conclusion/implications The CR system is feasible for visiting care service users, promoting self-care and early abnormality detection. Future improvements could enhance self-care for independent older adults.

Indexed as

communication robotgerontological nursinghome heath careolder aged peopleself care

Identifiers

PMID39968438
PMCPMC11832359

What OpenQuestion holds

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LicenceCC BY
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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.