Wang Pan, Zhou Juan, Shen Xin, Ge Yaping, Li Yanran, Ge Hui, Li Shuwen
Department of cardiac surgery, Zhong Da Hospital, Southeast University, Dingjiaqiao NO.87, Nanjing, 210009, China.
School of nursing, Anhui Medical University, Hefei, Feicui Road NO.15, Hefei, 230032, China.
BMC Nurs. 2024 Mar 27;23(1):211. doi: 10.1186/s12912-024-01862-8.
Transition shock occurs at a vulnerable time in newly graduated registered nurses' careers and has a clear impact on both newly graduated registered nurses' productivity and patient recovery outcomes. Identifying classification features of transition shock and targeting interventions to support newly graduated registered nurses is imperative. The study aimed to explore potential transition shock subgroups of newly graduated registered nurses and further explore the impact of population characteristics and two indices of health on transition shock.
A descriptive, cross-sectional design was conducted. An online questionnaire was sent via WeChat to newly graduated registered nurses who started work in 2021 at seven hospitals between August and November 2021, and 331 nurses filled out the questionnaire. Latent class analysis was used to identify the potential class of the transition shock of newly graduated registered nurses, and multinomial logistic regression analyses were used to determine the factors of potential classification.
The study identified four classes of transition shock in newly graduated registered nurses, namely, "high transition shock", "physical fatigue-lack of knowledge", "development adaptation" and "low transition shock-worry" groups. Newly graduated registered nurses who urinated less than 4 times per day (OR = 0.051, 95% CI = 0.005-0.502) were likely to be in the "high transition shock" group. Newly graduated registered nurses who did not delay urination (OR = 4.267, 95% CI = 1.162-11.236) were more likely to belong to the "low transition shock-worry" group. Newly graduated registered nurses without sleep disturbance were more likely to be in the "physical fatigue - lack of knowledge" (OR = 3.109, 95% CI = 1.283-7.532), "development adaptation" (OR = 8.183, 95% CI = 2.447-27.066), and "low transition shock-worry" (OR = 8.749, 95% CI = 1.619-47.288) groups than in the 'high transition shock' group.
This study highlights potential patterns of transition shock among newly graduated registered nurses. Two indices of health, namely, delayed urination and sleep disturbance, can predict the subgroups of newly graduated registered nurses with transition shock.
转型冲击发生在新毕业注册护士职业生涯中的一个脆弱时期，对新毕业注册护士的工作效率和患者康复结果都有明显影响。识别转型冲击的分类特征并针对性地采取干预措施以支持新毕业注册护士势在必行。本研究旨在探索新毕业注册护士潜在的转型冲击亚组，并进一步探讨人口特征和两项健康指标对转型冲击的影响。
采用描述性横断面设计。通过微信向2021年8月至11月在7家医院开始工作的新毕业注册护士发送在线问卷，331名护士填写了问卷。采用潜在类别分析识别新毕业注册护士转型冲击的潜在类别，并使用多项逻辑回归分析确定潜在分类的因素。
该研究识别出新毕业注册护士转型冲击的四类，即“高转型冲击”、“身体疲劳-知识缺乏”、“发展适应”和“低转型冲击-担忧”组。每天排尿少于4次的新毕业注册护士（OR = 0.051，95%CI = 0.005 - 0.502）可能属于“高转型冲击”组。没有排尿延迟的新毕业注册护士（OR = 4.267，95%CI = 1.162 - 11.236）更有可能属于“低转型冲击-担忧”组。没有睡眠障碍的新毕业注册护士比“高转型冲击”组更有可能属于“身体疲劳-知识缺乏”组（OR = 3.109，95%CI = 1.283 - 7.532）、“发展适应”组（OR = 8.183，95%CI = 2.447 - 27.066）和“低转型冲击-担忧”组（OR = 8.749，95%CI = 1.619 - 47.288）。
本研究突出了新毕业注册护士转型冲击的潜在模式。两项健康指标，即排尿延迟和睡眠障碍，可以预测有转型冲击的新毕业注册护士亚组。
