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糖尿病和高血压患者治疗依从性对心血管疾病风险的影响:一项回顾性队列研究方案,2008 - 2018年

The Impact of Treatment Adherence for Patients With Diabetes and Hypertension on Cardiovascular Disease Risk: Protocol for a Retrospective Cohort Study, 2008-2018.

作者信息

Su Min, Haldane Victoria, Upshur Ross, Sullivan Frank, Légaré France, Greiver Michelle, Wei Xiaolin

机构信息

School of Public Administration, Inner Mongolia University, Hohhot, China.

Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

出版信息

JMIR Res Protoc. 2019 May 31;8(5):e13571. doi: 10.2196/13571.

Abstract

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death globally and in Canada. Diabetes and hypertension are major risk factors for CVD events. Despite the increasing availability of effective treatments, the majority of diabetic and hypertensive patients do not have adequate blood pressure and glycemic control. One of the major contributors is poor treatment adherence.

OBJECTIVE

This study aims to evaluate the impact of treatment adherence for patients with both diabetes and hypertension on acute severe CVD events and intermediate clinical outcomes in Canadian primary care settings.

METHODS

We will conduct a population-based retrospective cohort study of patients living with both diabetes and hypertension in Ontario, Canada, between January 1, 2008, and March 31, 2018. The Social Cognitive Theory will be used as a conceptual framework by which to frame the reciprocal relationship between treatment adherence, personal factors, and environmental determinants and how this interplay impacts CVD events and clinical outcomes. Data will be derived from the Diabetes Action Canada National Data Repository. A time-varying Cox proportional hazards model will be used to estimate the impacts of treatment adherence on CVD morbidity and mortality. Multivariable linear regression models and hierarchical regression models will be used to estimate the associations between treatment adherence of different medication categories and intermediate clinical outcomes. Our primary outcome is the association between treatment adherence and the risk of acute severe CVD events, including CVD mortality. The secondary outcome is the association between treatment adherence and intermediate clinical outcomes including diastolic and systolic blood pressures, glycated hemoglobin, low-density lipoprotein cholesterol, and total cholesterol. Owing to data limitation, we use medication prescriptions as a proxy to estimate treatment adherence. We assume that a patient adhered to medications if she or he had any prescription record in the 4 preceding quarters and 1 quarter after each quarter of interest. Acute severe CVD events are defined based on the World Health Organization's Monitoring Trends and Determinants in Cardiovascular Disease Project, including acute coronary heart disease, stroke, and heart failure. As causes of death are not available, the number of CVD deaths will be computed using the most recent systolic blood pressure distributions and the population attributable risks related to systolic blood pressure level.

RESULTS

The project was funded by Diabetes Action Canada (reference number: 503854) and approved by the University of Toronto Research Ethics Board (reference number: 36065). The project started in June 2018 and is expected to be finished by September 2019.

CONCLUSIONS

The findings will be helpful in identifying the challenges of treatment adherence for diabetic and hypertensive patients in primary care settings. This will also help to develop intervention strategies to promote treatment adherence for patients with multi-morbidities.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13571.

摘要

背景

心血管疾病(CVD)是全球及加拿大的首要死因。糖尿病和高血压是心血管疾病事件的主要危险因素。尽管有效治疗方法日益普及,但大多数糖尿病和高血压患者的血压和血糖控制仍不理想。主要原因之一是治疗依从性差。

目的

本研究旨在评估加拿大初级医疗环境中,糖尿病和高血压患者的治疗依从性对急性严重心血管疾病事件和中间临床结局的影响。

方法

我们将对2008年1月1日至2018年3月31日期间,加拿大安大略省同时患有糖尿病和高血压的患者进行基于人群的回顾性队列研究。社会认知理论将作为概念框架,用以阐述治疗依从性、个人因素和环境决定因素之间的相互关系,以及这种相互作用如何影响心血管疾病事件和临床结局。数据将来源于加拿大糖尿病行动国家数据储存库。将使用时变Cox比例风险模型来估计治疗依从性对心血管疾病发病率和死亡率的影响。多变量线性回归模型和分层回归模型将用于估计不同药物类别治疗依从性与中间临床结局之间的关联。我们的主要结局是治疗依从性与急性严重心血管疾病事件风险(包括心血管疾病死亡率)之间的关联。次要结局是治疗依从性与中间临床结局之间的关联,包括舒张压和收缩压、糖化血红蛋白、低密度脂蛋白胆固醇和总胆固醇。由于数据限制,我们使用药物处方作为估计治疗依从性的替代指标。我们假设,如果患者在感兴趣的每个季度之前的4个季度以及之后的1个季度有任何处方记录,则该患者坚持用药。急性严重心血管疾病事件根据世界卫生组织的心血管疾病监测趋势和决定因素项目进行定义,包括急性冠心病、中风和心力衰竭。由于无法获取死亡原因,心血管疾病死亡人数将使用最新的收缩压分布和与收缩压水平相关的人群归因风险来计算。

结果

该项目由加拿大糖尿病行动资助(参考编号:503854),并获得多伦多大学研究伦理委员会批准(参考编号:36065)。该项目于2018年6月启动,预计2019年9月完成。

结论

研究结果将有助于识别初级医疗环境中糖尿病和高血压患者治疗依从性方面的挑战。这也将有助于制定干预策略,以促进多病共存患者的治疗依从性。

国际注册报告识别号(IRRID):DERR1-10.2196/13571。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19c1/6658229/567102ec399a/resprot_v8i5e13571_fig1.jpg

本文引用的文献

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