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疫情期间原发性心血管疾病预防中他汀类药物的依从模式。

Patterns of statin adherence in primary cardiovascular disease prevention during the pandemic.

作者信息

Malo Sara, Maldonado Lina, Rabanaque María José, Gimeno-Miguel Antonio, Castel-Feced Sara, Lallana María Jesús, Aguilar-Palacio Isabel

机构信息

Department of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain.

Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.

出版信息

Front Pharmacol. 2022 Nov 14;13:980391. doi: 10.3389/fphar.2022.980391. eCollection 2022.

Abstract

Study of medication adherence patterns can help identify patients who would benefit from effective interventions to improve adherence. To identify and compare groups of statin users based on their adherence patterns before and during the COVID-19 pandemic, to characterize the profile of users in each group, and to analyze predictors of distinct adherence patterns. Participants of the CARhES (CArdiovascular Risk factors for HEalth Services research) cohort, comprising individuals aged >16 years, residing in Aragón (Spain), with hypertension, diabetes mellitus and/or dyslipidemia, took part in this observational longitudinal study. Individuals who began statin therapy during January-June 2019 were selected and followed up until June 2021. Those with a cardiovascular event before or during follow-up were excluded. Data were obtained from healthcare system data sources. Statin treatment adherence during the implementation phase was estimated bimonthly using the Continuous Medication Availability (CMA9) function in the AdhereR package. Group-based trajectory models were developed to group statin users according to their adherence pattern during July 2019-June 2021. Group characteristics were compared and predictors of each adherence pattern were analyzed using multinomial logistic regression. Of 15,332 new statin users, 30.8% had a mean CMA9 ≥80% for the entire study period. Four distinct adherence patterns were identified: high adherence (37.2% of the study population); poor adherence (35.6%); occasional use (14.9%); and gradual decline (12.3%). The latter two groups included users who showed a change in adherence (increase or decrease) during the pandemic emergence. Users with suboptimal adherence were likely to be younger, not pensioners, not institutionalized, with low morbidity burden and a low number of comorbidities. Female sex and switching between statins of different intensity increased the likelihood of belonging to the occasional use group, in which improved adherence coincided with the pandemic. We identified four distinct adherence patterns in a population of new statin users; two of them modified their adherence during the pandemic. Characterization of these groups could enable more effective distribution of resources in future similar crisis and the routine implementation of patient-centered interventions to improve medication adherence.

摘要

对药物依从性模式的研究有助于识别那些能从改善依从性的有效干预措施中获益的患者。识别并比较在新冠疫情之前和期间基于他汀类药物使用者依从性模式的分组,描述每组使用者的特征,并分析不同依从性模式的预测因素。CARhES(健康服务研究中的心血管危险因素)队列研究的参与者,包括年龄大于16岁、居住在西班牙阿拉贡、患有高血压、糖尿病和/或血脂异常的个体,参与了这项观察性纵向研究。选择在2019年1月至6月开始他汀类药物治疗的个体,并随访至2021年6月。排除在随访前或随访期间发生心血管事件的个体。数据来自医疗系统数据源。在实施阶段,使用AdhereR软件包中的连续药物可及性(CMA9)功能每两个月估计一次他汀类药物治疗依从性。基于分组轨迹模型对2019年7月至2021年6月期间的他汀类药物使用者根据其依从性模式进行分组。比较组间特征,并使用多项逻辑回归分析每种依从性模式的预测因素。在15332名新的他汀类药物使用者中,30.8%在整个研究期间的平均CMA9≥80%。识别出四种不同的依从性模式:高依从性(占研究人群的37.2%);低依从性(35.6%);偶尔使用(14.9%);以及逐渐下降(12.3%)。后两组包括在疫情出现期间依从性发生变化(增加或减少)的使用者。依从性欠佳的使用者可能更年轻、非退休人员、非机构化、发病负担低且合并症数量少。女性以及在不同强度他汀类药物之间转换增加了属于偶尔使用组的可能性,在该组中依从性改善与疫情同时出现。我们在新的他汀类药物使用者群体中识别出四种不同的依从性模式;其中两种在疫情期间改变了他们的依从性。对这些组的特征描述可以使在未来类似危机中更有效地分配资源,并在日常中实施以患者为中心的干预措施来提高药物依从性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389c/9702325/58dba99e3621/fphar-13-980391-g001.jpg

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