Evidence map›Paper›PMID 39923066›Full record

Trial reportBiomedical engineering online2025

The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses' work stress: a randomized controlled study in a Chinese hospital.

Xuejiao Ruan, Yuying Lou, Xinhua Zhang, Zhulin Wu, Hongzhi Yuan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Biomedical engineering online, 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. 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

5 authors.

Xuejiao RuanDepartment of Nursing, The First People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.
Yuying LouDepartment of Nursing, The First People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.
Xinhua ZhangDepartment of Nanshi Ward, The First People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.
Zhulin WuDepartment of Nursing, The First People's Hospital of Wuhu, Wuhu, 241000, Anhui, China.
Hongzhi YuanDepartment of Rehabilitation, The First People's Hospital of Wuhu, Wuhu, 241000, Anhui, China. 81574154@qq.com.

Funding

the Wuhu First People's Hospital Institutional Research Project 2022WYY040N
6 · The paper itself

Abstract

backgroundClinical nurses frequently endure substantial work-related stress, adversely affecting their well-being and potentially compromising patient care quality and safety. The integration of a 5G-based medical private network into smart nursing systems and mobile devices offers a promising solution to reduce this stress. This study evaluates the impact of a Smart Nursing Information System based on a 5G Medical Private Network and its Supporting Mobile Hardware (SNIS-SMH) on mitigating work-related stress among clinical nurses. The goal is to provide a scientific basis for nursing management, reduce error incidents, advance nursing procedures, and enhance productivity.

resultsA total of 226 nurses completed the study. The SNIS-SMH group showed significantly lower total work stress scores (66.16 ± 9.82) compared to the control group (70.65 ± 11.32, P = 0.002). In specific dimensions, the SNIS-SMH group had lower scores for nursing profession and work (14.17 ± 2.37 vs. 15.00 ± 3.06, P = 0.023), workload and time distribution (10.56 ± 2.45 vs. 12.42 ± 2.55, P < 0.001), and patient care (22.55 ± 3.34 vs. 23.70 ± 4.06, P = 0.021). No significant differences were found in the work environment and resource, and management and interpersonal relationships dimensions.

conclusionsThe SNIS-SMH system significantly alleviated work-related stress among clinical nurses, particularly in nursing duties, workload and time distribution, and patient care.

Indexed as

HospitalsNursesNursing Staff, HospitalOccupational StressAdultChinaFemaleHumansMaleWorkloadRandomized controlSmart nursing information systemSupporting mobile hardwareWork stress

Identifiers

PMID39923066
PMCPMC11806821

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.