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Titre : | Factors to predict the knowledge, attitude and practice of nursing interruptions among nurses: A nationwide cross-sectional survey (2022) |
Auteurs : | Jie Li ; Sha Wang ; Xiaoqi Wu ; Min Liu ; Gang Gan ; Xiaoqian Dong ; Yajuan Fu ; Jianfei Xie ; Andy SK Cheng |
Type de document : | Article |
Dans : | Nurse Education in Practice (Vol. 64, October 2022) |
Article en page(s) : | 103428 |
Note générale : | https://doi.org/10.1016/j.nepr.2022.103428 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Abstention thérapeutique ; Gestion des soins aux patients ; Infirmières et infirmiers ; Risque ; Sécurité des patients |
Résumé : | Aim To identify the knowledge, attitude and practice of nursing interruptions and related factors among nurses in China. Background Nursing interruptions are extremely common and have introduced major security risks and harm to hospitalized patients. However, nursing interruptions? factors are not well known. Design A nationwide cross-sectional descriptive survey. Methods A multistratified random sampling method was used to obtain nurses from five provinces in China. We collected data by online questionnaires (the Knowledge, Attitude and Practice Questionnaire of Nursing Interruptions, the Chinese Revised Safety Attitude Questionnaire and the Coping Adaptation Processing Scale). We used the Mann?Whitney test, the Kruskal-Wallis test, Spearman?s linear correlation analysis and multiple linear stepwise regression to analyze the data. A STROBE checklist was used to report the results. Results Of the 14500 questionnaires distributed, 14302 (98.6 %) were returned. The mean score was 79.69 (SD 17.73) and the level was medium. Having attended nursing interruptions training and attended nursing safety training, safety attitude, coping ability and position were positive factors, while age and marital status were negative factors (F=1068.226, p |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S1471595322001421 |