Godino Lea, Magi Camilla Elena, Ricco Mattia, Gazineo Domenica
Genetic Nurse and PhD Candidate, Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy.
PhD Candidate, Department of Health Sciences, University of Florence, Italy.
J Res Nurs. 2025 Aug 28:17449871251347157. doi: 10.1177/17449871251347157.
Despite being a university-educated, evidence-based profession, nursing's social image often lags behind its professional reality, particularly in Italy.
To translate and validate the Scale for the Image of the Nursing Profession (SINP) for the Italian context.
This study followed a six-phase process. A single sample was randomly split for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Internal consistency was assessed using Cronbach's alpha. Test-retest reliability was evaluated using Pearson's correlation coefficient (r) on a convenience sample.
The demographic characteristics of the two sub-groups (sub-group A: = 874; sub-group B: = 873) were uniformly distributed ( > 0.05). EFA on 42 items in sub-group A identified five dimensions explaining 54.7% of the variance, removing 12 items with low factor loadings (<0.50). CFA in sub-group B confirmed the robustness of the five-dimensional structure. The overall questionnaire showed strong internal consistency (α = 0.84) and excellent test-retest reliability ( = 0.99, < 0.001).
The I-SINP is a reliable, culturally sensitive tool for assessing public perceptions of nursing in Italy. It provides a valuable resource for policymakers, educators and organisations in enhancing the visibility and recognition of the nursing profession, providing a solid foundation for improving its societal image and, thereby, supporting recruitment and retention within the profession.
尽管护理是一个受过大学教育且基于证据的职业，但其社会形象往往落后于职业现实，在意大利尤其如此。
翻译并验证适用于意大利背景的护理职业形象量表（SINP）。
本研究遵循六个阶段的流程。将单个样本随机分为探索性因素分析（EFA）和验证性因素分析（CFA）两组。使用克朗巴哈系数评估内部一致性。在一个便利样本上使用皮尔逊相关系数（r）评估重测信度。
两个亚组（亚组A：n = 874；亚组B：n = 873）的人口统计学特征分布均匀（p > 0.05）。对亚组A中的42个项目进行探索性因素分析，确定了五个维度，解释了54.7%的方差，剔除了12个因子载荷较低（<0.50）的项目。亚组B中的验证性因素分析证实了五维结构的稳健性。整个问卷显示出很强的内部一致性（α = 0.84）和出色的重测信度（r = 0.99，p < 0.001）。
意大利版护理职业形象量表（I-SINP）是一种可靠的、对文化敏感的工具，用于评估意大利公众对护理的看法。它为政策制定者、教育工作者和组织提高护理职业的知名度和认可度提供了宝贵资源，为改善其社会形象奠定了坚实基础，从而有助于该职业的人才招募和保留。
