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Factors Associated With Adherence to Diabetes Medication Among Individuals With Type 2 Diabetes in Cambridge, Ontario, Canada

机译：加拿大安大略省剑桥市2型糖尿病患者中坚持服药的相关因素

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摘要

Although it is known that the prevalence of type 2 diabetes is on the rise in Canada, more information is needed on how well type 2 diabetes patients living in Cambridge, Ontario self-manage their diabetes and what factors influence their adherence to diabetes medication regimens. The objective of this cross-sectional study based on the theory of planned behavior was to determine if there are predictors of adherence to diabetes medications among patients living with type 2 diabetes in Cambridge. The World Health Organization STEPwise Approach to Surveillance was used to collect demographic data. Adherence and diabetes knowledge were assessed with the 8-item Morisky Medication Adherence Scale and the Michigan Diabetes Knowledge Test, respectively. Research subjects were 56 adults recruited through convenience sampling. Predictor variables that were tested included age, gender, level of education, and diabetes education, and the response variable was adherence to diabetes medication. Level of education (p = .001) was the only strong predictor of adherence to diabetes medication in the bivariate logistic regression analysis. In addition, in the multivariate logistic regression analysis, the following combined variables were significantly associated with adherence to type 2 diabetes medication: age and level of education; age and diabetes knowledge; gender and level of education; gender and diabetes knowledge; and level of education and diabetes knowledge. Application of the findings of this study may help to minimize the risk of diabetes-associated complications and improve quality of life for those with type 2 diabetes, thereby reducing type 2 diabetes healthcare costs for patients, insurance payers, and other stakeholders.
机译：尽管众所周知2型糖尿病的患病率在加拿大呈上升趋势，但仍需要更多信息来了解居住在安大略省剑桥市的2型糖尿病患者的自我管理状况，以及哪些因素会影响他们对糖尿病药物治疗方案的依从性。这项基于计划行为理论的横断面研究的目的是确定在剑桥的2型糖尿病患者中是否存在糖尿病药物依从性的预测指标。世界卫生组织的逐步监测方法被用来收集人口统计数据。依从性和糖尿病知识分别通过8项Morisky药物依从性量表和密歇根州糖尿病知识测验进行评估。研究对象是通过便利抽样招募的56名成年人。测试的预测变量包括年龄，性别，受教育程度和糖尿病教育，而响应变量是对糖尿病药物的依从性。在双变量logistic回归分析中，教育水平（p = .001）是唯一坚持糖尿病药物的有力预测指标。此外，在多元逻辑回归分析中，以下综合变量与2型糖尿病药物的依从性显着相关：年龄和受教育程度；年龄和糖尿病知识；性别和受教育程度；性别和糖尿病知识；教育水平和糖尿病知识。这项研究结果的应用可能有助于最大程度地降低2型糖尿病患者与糖尿病相关的并发症的风险，并改善生活质量，从而降低患者，保险支付者和其他利益相关者的2型糖尿病医疗保健成本。

著录项

  • 作者

    Atekha, Benedict.;

  • 作者单位

    Walden University.;

  • 授予单位 Walden University.;
  • 学科 Health sciences.;Public health.;Canadian studies.
  • 学位 D.P.H.
  • 年度 2018
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

  • 入库时间 2022-08-17 11:41:17

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