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Characteristics of Diabetes Self-Care Agency in Japan Based on Statistical Cluster Analysis

机译:基于统计集群分析的日本糖尿病自我护理机构的特征

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Introduction: Considering the situation where the number of people with diabetes is increasing, we need to find ways to support more efficient and effective outpatient clinics. Therefore, it is necessary to develop effective support methods and to elaborate a strategy as a system for support after grasping the characteristics of the entire population of people with diabetes. Objective: The purpose of this study was to identify the characteristics of the diabetes population in outpatient settings by differences in self-care agency and to examine how to support them based on the recognized characteristics. Methods: Participants were 261 people with diabetes under outpatient care in Japanese institutions from whom demographic data on age, gender, HbA1c, and treatment method were collected as well as self-care agency data based on the Instrument of Diabetes Self-Care Agency consisting of 40 items. The data were analyzed using cluster analysis to compare age, gender, HbA1c, duration of diabetes, type of diabetes, and insulin therapy between clusters. Results: The analysis identified six clusters, including a group with favorable HbA1c but low total self-care agency scores that were likely to affect their blood glucose control in the future, although accounting for as small a portion as 3% of the total. In addition, a cluster with poor HbA1c and generally low self-care agency was also identified accounting for about a quarter of the total population. These clusters were considered to require further support. Clusters having markedly low self-care agency items, stress-coping ability, or the ability to make the most of the support available were also identified. Conclusion: The six clusters need to be assisted in focusing on mental or social support. Accordingly, consideration of the support system for people with diabetes based on an understanding of the cluster characteristics seemed to enable more efficient and effective support.
机译:介绍:考虑到糖尿病人数增加的情况,我们需要找到支持更高效和有效的门诊诊所的方法。因此,有必要制定有效的支持方法,并在抓住糖尿病的全部人群的特征后,将战略作为支持的系统。目的:本研究的目的是通过自我护理机构的差异确定门诊环境中糖尿病种群的特征,并审查如何根据认可的特征来支持它们。方法:参与者在日本机构中患有261人,在日本机构中,收集年龄,性别,HBA1C和治疗方法的人口统计数据以及基于糖尿病自我保管局的仪器的自我护理机构数据40件物品。使用聚类分析分析数据以比较年龄,性别,HBA1C,糖尿病持续时间,糖尿病类型和簇之间的胰岛素治疗。结果:分析确定了六个集群,包括一个有利的HBA1C的组,但在未来可能影响其血糖控制的总自我护理机构分数较低,尽管占总数的3%。此外,还确定了与HBA1C差和低自制机构的集群占总人口的约四分之一。这些群集被认为需要进一步支持。还确定了具有明显低的自我护理机构项目,压力应对能力或充分利用可用支持的能力的集群。结论:需要辅助六集群,重点关注精神或社会支持。因此,基于对群集特征的理解,对患有糖尿病的人的支持系统似乎能够更有效和有效的支持。

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