Evidence map›Paper›PMID 41586339›Full record

ArticleJournal of nursing management2026

Patterns of Professional Practice Participation: A Latent Profile Analysis of Specialty Nurses in China.

Yan Ye, Yinshi Kan, Tingting Dong, Jing Zhang, Xiaoming Li, Lingyu Zhang, Xuanxuan Fan, Chunyan Li, Liwei Jing

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

9 authors.

Yan YeSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0000-5321-7770
Yinshi KanSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0001-6527-7439
Tingting DongDepartment of Nursing, Xuanwu Hospital Capital Medical University, Beijing, China, xwhosp.com.cn.ORCID https://orcid.org/0009-0003-7246-8243
Jing ZhangSchool of Public Health, Harbin Medical University, Harbin, China, hrbmu.edu.cn.ORCID https://orcid.org/0000-0003-4727-3754
Xiaoming LiSchool of Public Health, North China University of Science and Technology, Tangshan, China, ncst.edu.cn.ORCID https://orcid.org/0000-0003-1626-7925
Lingyu ZhangSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0008-6270-1319
Xuanxuan FanSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0004-8733-7833
Chunyan LiSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0008-4415-1341
Liwei JingSchool of Nursing, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0002-2653-8496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Specialty nurses play a vital role in advancing clinical care, education, research, and leadership within China's evolving healthcare system. However, their actual participation in these roles varies widely, and current assessments often overlook individual differences. Understanding distinct patterns of specialty nurses' professional practice participation is crucial for optimizing talent development and advancing the specialty nursing workforce. Methods: A cross-sectional study was conducted using a convenience sample of 7154 specialty nurses in Beijing between May and July 2024. Participants completed online questionnaires that gathered demographic data and assessed nursing practice across four dimensions (19 items total). Data analysis was performed using latent profile analysis, Chi-square test, Kruskal-Wallis H test, and multivariate logistic regression. Results: Three latent profiles were identified: Developing Practice Profile (78.19%; characterized by growth potential across all dimensions), Clinician-Educator Profile (14.97%; marked by strengths in teaching and advanced clinical nursing), and the Clinician, Leadership, and Research Profile (6.84%; distinguished by high performance in advanced clinical practice, clinical management, and nursing research). Key predictors included educational background, professional title, duties, years of relevant work experience, and hospital level. Conclusion: Most specialty nurses have significant developmental potential. Nursing managers should provide personalized development for each specialty nurse, and the proposed "Stretch-Shape-Lead" approach may serve as a reference for optimizing the specialty nurse workforce structure. Future studies could further validate the findings from this resource-rich municipality in lower-tier cities, rural areas, or the broader national context to confirm their broader applicability.

Indexed as

Professional PracticeSpecialties, NursingAdultChinaCross-Sectional StudiesFemaleHumansLeadershipMaleMiddle AgedSurveys and Questionnaireslatent profile analysisparticipationprofessional developmentspecialty nurses

Identifiers

PMID41586339
PMCPMC12824634

What OpenQuestion holds

Textmetadata
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.