Category Characteristics and Influencing Factors of Research Competence Among Chinese Specialty Nurses: A Latent Profile Analysis

作者：Wenqiong Lin, Panpan Zhang, Songyao Li, Yaru Li, Ziru Fang, Yuning Wang, Hongmei Zhang · 发表于：Journal of Advanced Nursing · 年份：2025 · DOI：10.1111/jan.16735 · 被引用次数：3 · 研究领域：Health Sciences Research and Education、Health and Medical Research Impacts、scientometrics and bibliometrics research

AIM: This study uses latent profile analysis to explore the latent characteristics of research competence among speciality nurses and its influencing factors. DESIGN: This study is a cross-sectional study. METHODS: From January to February 2024, 813 speciality nurses were recruited from five tertiary hospitals in Henan Province, China, using a convenience sampling method. Participants completed an online questionnaire, which included a scientific research ability self-evaluation rating scale of nursing staff and a reflective practice questionnaire. Conducted latent profile analysis of the research competence characteristics of speciality nurses and identified the influencing factors of their latent profiles through univariate analysis and multiple logistic regression. Data were analysed using Mplus version 8.3 and SPSS version 26.0. RESULTS: A total of 792 speciality nurses were enrolled, with a valid response rate of 97.42%. We identified three latent categories of research competence among speciality nurses: an uneven research competence group (30.93%), a high research competence group (19.07%), and a moderate research competence group (50.0%). Multiple logistic regressions indicated that single speciality nurses were more likely to belong to the moderate research competence group (OR = 2.04, p = 0.003); speciality nurses with a college diploma were more likely to belong to the uneven research competence group (OR = 0.04, p = 0.005); specialty nurses who are permanent staff...