Institute of Nursing Science and Practice, Paracelsus Medical University, Salzburg, Austria.
Department of Neurology, Christian-Doppler Medical Centre, Paracelsus Medical University, Salzburg, Austria.
J Adv Nurs. 2022 Jul;78(7):2004-2014. doi: 10.1111/jan.15105. Epub 2021 Nov 27.
To find out which variables may be associated with comfort of patients in an epilepsy monitoring unit.
Exploratory, quantitative study design.
Data were collected from October 2018 to November 2019 in Austria and Southern Germany. A total of 267 patients of 10 epilepsy centres completed the Epilepsy Monitoring Unit Comfort Questionnaire which is based on Kolcaba's General Comfort Questionnaire. Secondary data analysis were conducted by using descriptive statistics and an exploratory model building approach, including different linear regression models and several sensitivity analyses.
Total comfort scores ranged from 83 to 235 points. Gender, occupation and centre turned out to be possible influential variables. On average, women had a total comfort score 4.69 points higher than men, and retired persons 28.2 points higher than high school students ≥18 years. Comfort scores of younger patients were lower than those of older patients. However, age did not show a statistically significant effect. The same could be observed in marital status and educational levels.
When implementing comfort measures, nurses must be aware of variables which could influence the intervention negatively. Especially, high school students ≥18 years should be supported by epilepsy specialist nurses, in order to reduce uncertainty, anxiety and discomfort. But, since the identified variables account only for a small proportion of the inter-individual variability in comfort scores, further studies are needed to find out additional relevant aspects and to examine centre-specific effects more closely.
Nurses ensure patient comfort during a hospital stay. However, there are variables that may impair the effectiveness of the nursing measures. Our study showed that the experience of comfort was highly individual and could be explained by sociodemographic variables only to a limited extent. Nurses must be aware that additional factors, such as the situation in the individual setting, may be relevant.
找出哪些变量可能与癫痫监测病房患者的舒适度相关。
探索性、定量研究设计。
数据于 2018 年 10 月至 2019 年 11 月在奥地利和德国南部采集。来自 10 个癫痫中心的 267 名患者完成了基于 Kolcaba 一般舒适度问卷的癫痫监测病房舒适度问卷。使用描述性统计和探索性模型构建方法进行二次数据分析,包括不同的线性回归模型和几种敏感性分析。
总舒适度评分范围为 83 至 235 分。性别、职业和中心被证明是可能的影响变量。平均而言,女性的总舒适度评分比男性高 4.69 分,退休人员比 18 岁及以上的高中生高 28.2 分。年轻患者的舒适度评分低于年长患者。然而,年龄并没有表现出统计学上的显著影响。在婚姻状况和教育水平方面也可以观察到同样的情况。
在实施舒适措施时,护士必须意识到可能对干预产生负面影响的变量。特别是,应通过癫痫专科护士为 18 岁及以上的高中生提供支持,以减少不确定性、焦虑和不适。但是,由于确定的变量仅占舒适度评分个体差异的一小部分,因此需要进一步研究以找出其他相关方面,并更仔细地研究中心特定的影响。
护士在住院期间确保患者的舒适度。然而,有些变量可能会削弱护理措施的效果。我们的研究表明,舒适度的体验具有高度的个体性,仅能通过社会人口统计学变量在一定程度上解释。护士必须意识到,其他因素,如个体环境中的情况,可能是相关的。