What matters most? Identifying key resource gain and loss factors affecting nurses’ work engagement and job burnout in digital healthcare contexts

作者：Jianing Guo, Zhenduo Zhang, Huan Xiao, Xiaoqian Zu, Kun Zhou, Ruoyi Qu · 发表于：BMC Nursing · 年份：2025 · DOI：10.1186/s12912-025-03586-9 · 被引用次数：7 · 研究领域：Technostress in Professional Settings、Healthcare professionals’ stress and burnout、Nursing education and management

Work engagement and burnout are two of the most significant work states in nurses. The increasing prevalence of information and communication technologies (ICT) in the workplace means that nurses are required not only to actively embrace technological advancements for their own well-being and to enhance the quality of nursing care, but also to simultaneously learn to cope with the mental and physical health issues arising from ICT use. Nevertheless, research on the work status of Chinese nurses in the context of ICT demands remains scant, particularly in large-sample, multi-center empirical studies. to investigate the distinct predictors of work engagement and job burnout among Chinese nurses in the context of ICT demands, and to clarify the differential mechanisms underlying these two work states. A cross-sectional survey (N = 1612) was conducted among Chinese nurses from January to February 2024, utilizing questionnaires to collect demographic information, work-related details, job resources, job stressors, work engagement and job burnout within the context of ICT usage. Descriptive statistics and one-way ANOVA were employed to identify control variables based on demographic and work-related information. Pearson correlation analysis explored relationships between job resources, job stressors, and nurses’ work status. Regression models for work engagement and job burnout were constructed, with LASSO regression selecting the most critical influencing variables. The LASSO regr...