Application of cognitive load theory in WeChat training to enhance nurses'adverse event reporting man-agement

ZHAO Xiaoying; ZHAO Lihua; WANG Huili; LI Guangyao; YANG Yanmeng; YANG Wengfeng; SHI Chunhong

Abstract：Objective:To exploring the effectiveness of WeChat platform training applying cognitive load theory on enhancing clinical nurses'adverse event reporting level.Methods:Four hundred clinical nurses from a tertiary general hospital were randomly selected from June to December 2023 and divided into observation and control group using a random number table,with 200 in each group.The observation group adopted a WeChat platform training model for nursing adverse event reporting based on cognitive load theory,while the control group used a conventional nursing ad-verse event training model.General information questionnaires,nursing adverse event reporting cognition,reporting in-tention,and reporting barrier questionnaires were used to survey nurses in both groups.Both interventions lasted for 12 weeks.Results:The scores of cognition and intention to report adverse events in the observation group were higher than those in the control group,and the difference was statistically significant(P＜0.05).There was no significant differ-ence between the two groups in the total score of adverse event reporting barrier and the score of reporting process di-mension.However,the scores of punitive culture and reporting significance in the observation group were higher than those in the control group,and the difference was statistically significant(P＜0.05).Conclusion:WeChat platform training based on cognitive load theory can effectively improve the intention and cognition level of nurses to report ad-verse events,which is of great significance for improving clinical nursing quality and ensuring patient safety,and pro-vides a new perspective and method for nursing education.