Evidence map›Paper›PMID 39923084›Full record

ArticleBMC nursing2025

Investigation of Potential Profiles and Influencing Factors of Voice Behavior among Chinese Nurses.

Shuangying Huang, Hanwen Chen, Liyan Zhang, Xianming Weng, Lingming Zhou, Xiaoqin Ma, Weiyi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Shuangying Huang *Nursing Department, The First Affiliated Hospital of Zhejiang Chinese Medical University（Zhejiang Provincial Hospital of Chinese Medicine）, Youdian Road No. 54, Hangzhou, 310000, Zhejiang, China.
Hanwen Chen *The First School of Clinical Medicine, Zhejiang Chinese Medical University, Binwen Road No.548, Hangzhou, 310053, Zhejiang, China.
Liyan ZhangNursing Department, The First Affiliated Hospital of Zhejiang Chinese Medical University（Zhejiang Provincial Hospital of Chinese Medicine）, Youdian Road No. 54, Hangzhou, 310000, Zhejiang, China.
Xianming WengNursing Department, The First Affiliated Hospital of Zhejiang Chinese Medical University（Zhejiang Provincial Hospital of Chinese Medicine）, Youdian Road No. 54, Hangzhou, 310000, Zhejiang, China.
Lingming ZhouZhenHai Hospital of Traditional Chinese Medicine, West Round-City Road No.51, Ningbo, 315200, Zhejiang, China.
Xiaoqin Ma *School of Nursing, Zhejiang Chinese Medical University, Binwen Road No.548, Hangzhou, 310053, Zhejiang, China.
Weiyi Wang *Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Youdian Road No.54, Hangzhou, China. 20163188@zcmu.edu.cn.

Funding

Chinese Medicine Science and Technology Project of Zhejiang Province No. 2022ZA077
6 · The paper itself

Abstract

backgroundThe nursing profession plays a vital role in the provision of healthcare services. The sustainable and high-quality development of nursing work is inseparable from the nurses' proactive voice behavior. However, in China, comprehensive nationwide survey data on nurse voice behavior remains limited. The present study utilized latent profile analysis to examine the potential profiles, current status, and determinants of nurses' voice behavior on a national scale, with the aim of formulating targeted intervention strategies to enhance nurses' capacity for constructive feedback.

methodsThis study employed a cross-sectional survey design and recruited nurses from medical institutions in China as research participants between November 2023 and January 2024. The survey encompassed three dimensions: individual, environment, and behavior. General demographic questionnaires and voice behavior questionnaires were administered via the questionnaire star platform to collect data for statistical analysis.

resultsA total of 3528 questionnaires from 552 s-class and three-class hospitals hospitals located in 22 provinces, 4 municipalities, 3 autonomous prefectures and 2 special administrative regions throughout China were collected in this study. By analyzing the potential profile of nurses' voice behavior, three potential categories were formed: low voice behavior group(C1, 21.1% of the total population), medium voice behavior group(C2, 60.9% of the total population), and high voice behavior group(C3, 18.0% of the total population). Factors including night shift work, workload intensity, monthly income, years of nursing experience, professional title, position, health status, personality traits, organizational justice perception, and self-efficacy were found to significantly influence nurses' expression of their opinions.

conclusionThe voice behavior of nurses in China exhibits a moderate level. Heterogeneity was observed in the voice behavior of nurses, suggesting variations among individuals. The focus of nurse managers should be on nurses belonging to the C1 and C2 group, enabling them to implement early targeted prevention and care based on the distinctive characteristics and influencing factors associated with each latent profile.

Indexed as

Influencing factorLatent profile analysisNurseVoice behavior

Identifiers

PMID39923084
PMCPMC11807296

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.