Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Kapucijnenvoer 35-PB 7001/4, B-3000, Leuven, Belgium.
School of Medicine, Griffith University, Gold Coast Campus, Southport, Qld, Australia.
BMC Geriatr. 2018 Jan 19;18(1):19. doi: 10.1186/s12877-018-0715-5.
Education of healthcare workers is a core element of multicomponent delirium strategies to improve delirium care and, consequently, patient outcomes. However, traditional educational strategies are notoriously difficult to implement. E-learning is hypothesised to be easier and more cost effective, but research evaluating effectiveness of delirium education through e-learning is scarce at present. Aim is to determine the effect of a nursing e-learning tool for delirium on: (1) in-hospital prevalence, duration and severity of delirium or mortality in hospitalized geriatric patients, and (2) geriatric nurses' knowledge and recognition regarding delirium.
A before-after study in a sample of patients enrolled pre-intervention (non-intervention cohort (NIC); n = 81) and post-intervention (intervention cohort (IC); n = 79), and nurses (n = 17) of a geriatric ward (university hospital). The intervention included an information session about using the e-learning tool, which consisted of 11 e-modules incorporating development of knowledge and skills in the prevention, detection and management of delirium, and the completion of a delirium e-learning tool during a three-month period. Key patient outcomes included in-hospital prevalence and duration of delirium (Confusion Assessment Method), delirium severity (Delirium Index) and mortality (in-hospital; 12 months post-admission); key nurse outcomes included delirium knowledge (Delirium Knowledge Questionnaire) and recognition (Case vignettes). Logistic regression and linear mixed models were used to analyse patient data; Wilcoxon Signed Rank tests, McNemar's or paired t-tests for nursing data.
No significant difference was found between the IC and NIC for in-hospital prevalence (21.5% versus 25.9%; p = 0.51) and duration of delirium (mean 4.2 ± SD 4.8 days versus 4.9 ± SD 4.8 days; p = 0.38). A trend towards a statistically significant lower delirium severity (IC versus NIC: difference estimate - 1.59; p = 0.08) was noted for delirious IC patients in a linear mixed model. No effect on patient mortality and on nurses' delirium knowledge (p = 0.43) and recognition (p = 1.0) was found.
Our study, the first in its area to investigate effects of delirium e-learning on patient outcomes, demonstrated no benefits on both geriatric patients and nurses. Further research is needed to determine whether delirium e-learning nested within a larger educational approach inclusive of enabling and reinforcing strategies, would be effective.
ISRCTN ( 82,293,702 , 27/06/2017).
医护人员教育是多组分谵妄策略的核心要素,旨在改善谵妄护理,进而改善患者预后。然而,传统的教育策略实施起来极具挑战性。电子学习被假设为更容易且更具成本效益,但目前评估电子学习对谵妄教育效果的研究却很少。本研究旨在确定针对老年患者的护理电子学习工具对以下方面的影响:(1)住院老年患者谵妄的院内发生率、持续时间和严重程度或死亡率,(2)老年护士对谵妄的知识和认知。
在一个老年病房(大学医院)的患者样本中进行了一项前后对照研究,患者在干预前(非干预队列(NIC);n=81)和干预后(干预队列(IC);n=79)入组,并对护士(n=17)进行了研究。干预措施包括关于使用电子学习工具的信息会议,该会议由 11 个电子模块组成,其中包括预防、检测和管理谵妄方面的知识和技能发展,以及在三个月内完成电子学习工具的学习。主要患者结局包括院内谵妄发生率和持续时间(意识混乱评估方法)、谵妄严重程度(谵妄指数)和死亡率(院内;入院后 12 个月);主要护士结局包括谵妄知识(谵妄知识问卷)和认知(病例案例)。使用逻辑回归和线性混合模型分析患者数据;Wilcoxon 符号秩检验、McNemar 检验或配对 t 检验用于护理数据。
IC 和 NIC 组患者的院内发生率(21.5%比 25.9%;p=0.51)和谵妄持续时间(平均 4.2±SD 4.8 天比 4.9±SD 4.8 天;p=0.38)无显著差异。线性混合模型显示,IC 组患者的谵妄严重程度呈下降趋势(IC 与 NIC:差值估计-1.59;p=0.08)。未发现该电子学习工具对患者死亡率以及护士的谵妄知识(p=0.43)和认知(p=1.0)有任何影响。
本研究是首次针对电子学习对患者结局影响的研究,结果表明该工具对老年患者和护士均无益处。需要进一步研究以确定在包括赋权和强化策略在内的更大教育方法中嵌套的谵妄电子学习是否有效。
ISRCTN(82,293,702,27/06/2017)。