Evidence map›Paper›PMID 42563494›Full record

ArticleJMIR nursing2026

Facilitating Teamwork With Minimal Interaction via a Mesh-Based Communication Device in a Clinical Nursing Setting: Intervention Study.

Yujiro Matsuishi, Masakazu Hirokawa, Yoshiaki Inoue, Kenji Suzuki

Abstract read
In one paragraph

Article in JMIR nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yujiro MatsuishiScience and Engineering, Women's Health Nursing and Midwifery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan, 81-29-853-2111.ORCID http://orcid.org/0000-0001-6388-9263
Masakazu HirokawaArtificial Intelligence Laboratory, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID http://orcid.org/0000-0002-6129-3674
Yoshiaki InoueDepartment of Emergency and Critical Care Medicine, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID http://orcid.org/0000-0001-6407-1965
Kenji SuzukiArtificial Intelligence Laboratory, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID http://orcid.org/0000-0003-1736-5404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevention of medical errors depends on effective communication and teamwork between nurses, yet traditional nurse call systems create inefficiencies that result in higher staff workloads. Further research is needed to evaluate how digital health care technologies affect nursing workflows and whether they contribute to staff workload. Objective: This study aimed to evaluate whether a smartphone app using Bluetooth Low Energy (BLE) Mesh-based signal communication could enhance nurse-to-nurse communication, decrease response times, and improve teamwork as measured by the TeamSTEPPS Teamwork Perceptions Questionnaire (T-TPQ). Methods: We conducted a between-subjects (independent groups) interventional study on an acute care ward, with 3 intervention days (BLE Mesh app use) and 3 nonintervention days administered on alternating days. Thirty nurses (15 per condition) participated, with no nurse contributing observations to both conditions in the final analysis. Response times were tracked, and the T-TPQ was used to evaluate Situation Monitoring and Mutual Support perceptions at the end of each shift. Results: The app shortened the total response duration from a per-nurse median of 38.5 (IQR 31.0-58.5) seconds in the control condition to 19.5 (IQR 18.5-23.5) seconds in the intervention condition (n=15 per condition; Mann-Whitney U test=217.5; P<.001; rank-biserial r=-0.93). The app reduced the time it took for staff to confirm nursing actions, search for items, and request care assistance. A total of 40 nurses participated, generating 48 questionnaire responses; after exclusions, 30 nurses (15 per condition) were analyzed. T-TPQ confirmed significant improvements in Situation Monitoring (3.04 vs 3.39; P=.001) and Mutual Support (3.01 vs 3.31; P=.003). Post hoc power ranged from 87% to 92% (Cohen d>1.0), supporting the interpretability of these results. Conclusions: BLE Mesh technology reduces basic signal communication delays, which shortens nurse response times and enhances team performance through improved Situation Monitoring and Mutual Support, according to our research. The study demonstrates how this technology delivers functional benefits that enhance nursing communication to produce superior team-based care outcomes.

Indexed as

CommunicationMobile ApplicationsPatient Care TeamAdultFemaleHumansMaleMiddle AgedSurveys and Questionnairesdigital healthmobile appsnursing communicationresponse timeteamwork

Identifiers

PMID42563494
PMCPMC13447815

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.