Table 1_Assessing nursing information competence of nurses and identifying the associated influencing factors.xlsx

PurposeThe objective of this study was to assess the level of nursing information competence (including computer competence, information competence, and comprehensive application competence dimensions) of nurses and determine the influencing factors related to nursing information competence.
BackgroundThe wide application of information technology in medical system can improve the quality of nursing service. At present, the evaluation results of nurses’ informatics competence are not consistent.
MethodsThis cross-sectional study survey was carried out in a tertiary hospital in Zhejiang, China, November 3 to November 9, 2023. Nurses who meet the inclusion and exclusion criteria were recruited through purposive sampling method.
ResultsThis study involved 1,237 nurses. The median score of nurses’ informatics competence of 1,237 nurses was 98 (83,110), and the median score for each item was 2.88 (2.44, 3.24). The nursing information competence score were divided into three groups: high group (358, 28.94%), medium group (598, 48.34%), and low group (281, 22.72%), with score of 94 (interquartile range: 15), 71 (interquartile range: 14), 49 (interquartile range: 19). Eight variables strongly correlated with the total nursing information competence score were identified: (1) ability to adopt corresponding educational methods to disseminate information technology knowledge; (2) ability to effectively use clinical information according to work needs; (3) ability to evaluate the quantity and quality of information resources and adjust search strategies as needed to further obtain information; (4) ability to combine quality management tools to analyze and apply information; (5) ability to regularly collate medical record data using information systems and classify them by different purposes; (6) ability to select search strategies and effectively obtain information from the internet or electronic databases; (7) ability to clearly express problems encountered in information technology use; (8) familiarity with commonly used network terms. The prediction accuracy of Gradient Boosting regression and Linear regression models reached 0.829 and 0.836, respectively.
ConclusionThis study shows that the informatics competence score of nursing staff is in the middle to upper level, and hospital managers can carry out more targeted and personalized training in the aforementioned 8 aspects.

研究目的：本研究旨在评估护士的护理信息素养（nursing information competence，包含计算机能力、信息能力及综合应用能力三个维度）水平，并明确与护理信息素养相关的影响因素。
研究背景：信息技术在医疗系统中的广泛应用可提升护理服务质量。当前，关于护士信息素养的评估结果尚未统一。
研究方法：本研究为横断面调查研究，于2023年11月3日至11月9日在中国浙江某三级医院开展。采用目的性抽样方法招募符合纳入排除标准的护士。
研究结果：本研究共纳入1237名护士。1237名护士的护理信息素养得分中位数为98（四分位间距：83,110），各条目得分中位数为2.88（2.44, 3.24）。将护理信息素养得分划分为三组：高分组（358人，占比28.94%）、中分组（598人，占比48.34%）及低分组（281人，占比22.72%），三组得分分别为94（四分位间距：15）、71（四分位间距：14）及49（四分位间距：19）。本研究共识别出与护理信息素养总分强相关的8个变量：（1）采用对应教育方法传播信息技术知识的能力；（2）根据工作需求有效使用临床信息的能力；（3）评估信息资源的数量与质量，并根据需要调整搜索策略以进一步获取信息的能力；（4）结合质量管理工具分析并应用信息的能力；（5）定期利用信息系统整理病历数据并按不同用途分类的能力；（6）选择搜索策略并从互联网或电子数据库中有效获取信息的能力；（7）清晰表达使用信息技术过程中遇到的问题的能力；（8）熟悉常用网络术语的能力。梯度提升回归（Gradient Boosting regression）与线性回归（Linear regression）模型的预测准确率分别达到0.829与0.836。
研究结论：本研究结果显示，护理人员的信息素养得分处于中上游水平，医院管理者可针对上述8个方面开展更具针对性与个性化的培训。