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埃塞俄比亚奥罗米亚地区北谢瓦公立医院随访的慢性心力衰竭患者的药物依从性及其相关因素。

Medication adherence and associated factors among chronic heart failure patients on follow-up in north Shewa public hospitals, Oromia region, Ethiopia.

机构信息

Department of Public Health, College of Health Science, Salale University, Fitche, Ethiopia.

Department of Midwifery, College of Health Science, Salale University, Fitche, Ethiopia.

出版信息

BMC Cardiovasc Disord. 2024 Aug 23;24(1):444. doi: 10.1186/s12872-024-04090-9.

DOI:10.1186/s12872-024-04090-9
PMID:39179994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11342635/
Abstract

BACKGROUND

Chronic heart failure affects approximately 26 million people globally. World Health Organization data show that only approximately half of chronically ill patients in developed countries adhere to recommended medication, with even lower rates in developing countries. Medication adherence is critical for managing chronic heart failure symptoms, delaying disease progression, and preventing hospitalizations. However, poor adherence increases rehospitalization, morbidity, mortality, and healthcare costs.

OBJECTIVE

To assess medication adherence and associated factors among chronic heart failure patients on follow-up at North Shewa Public Hospitals, Oromia Region, Ethiopia, in 2023.

METHODS

This institutional-based cross-sectional study was conducted from March 1 to April 30, 2023, G.C. A total of 603 individuals were selected consecutively among those who underwent chronic OPD after being proportionally allocated to five hospitals in the zone. The data were collected using an interviewer-administered questionnaire and a medical chart review. The data were entered into Epi-data version 3.1 and then exported to SPSS version 26 for analysis. The multivariable logistic regression model included variables with a P value < 0.25 in the bivariate analysis. The degree of association was expressed using an adjusted odds ratio (AOR) with a 95% confidence interval (CI) at a P value < 0.05.

RESULTS

Among the 603 patients, 56% had optimal medication adherence, with a 95% CI of 52.1 to 60. Being able to read and write (AOR: 2.20; 95% CI: 1.34, 3.61), having a secondary education (AOR: 1.97; 95% CI: 1.06, 3.67), having community-based health insurance (AOR: 1.82; 95% CI: 1.22, 2.71), not having comorbidities (AOR: 1.82; 95% CI: 1.18, 2.52), taking several drugs < 2 (AOR: 2.11; 95% CI: 1.20, 2.45), not adding salt when cooking (AOR: 1.72; 95% CI: 1.20, 2.45), and asking a doctor or nurse without fear (AOR: 1.87; 95% CI: 1.03, 3.40) were factors associated with medication adherence among CHF patients.

CONCLUSION

This study revealed that 56% of chronic heart failure patients had optimal medication adherence. Factors associated with higher adherence included higher education, community health insurance, lack of comorbidities, fewer medications, avoiding added salt, and comfortable communication with providers. Health professionals should provide education to strengthen medication adherence.

摘要

背景

慢性心力衰竭影响着全球约 2600 万人。世界卫生组织的数据显示,在发达国家,仅有约一半的慢性病患者遵循推荐的药物治疗方案,而在发展中国家这一比例更低。药物治疗的依从性对于管理慢性心力衰竭症状、延缓疾病进展和预防住院至关重要。然而,较差的依从性会增加再住院率、发病率、死亡率和医疗保健成本。

目的

评估 2023 年在埃塞俄比亚北谢瓦公立医院接受慢性门诊治疗的慢性心力衰竭患者的药物治疗依从性及其相关因素。

方法

这是一项 2023 年 3 月 1 日至 4 月 30 日在埃塞俄比亚北谢瓦地区进行的基于机构的横断面研究。总共从五个医院中按比例分配到的 603 名患者中连续选择了参与者。数据通过访谈者管理的问卷和病历回顾进行收集。数据被录入 Epi-data 版本 3.1,然后导出到 SPSS 版本 26 进行分析。多变量逻辑回归模型包括在单变量分析中 P 值<0.25 的变量。关联程度用调整后的优势比(AOR)和 95%置信区间(CI)表示,P 值<0.05。

结果

在 603 名患者中,56%的患者具有最佳的药物治疗依从性,95%CI为 52.1%至 60%。能够读写(AOR:2.20;95%CI:1.34,3.61)、接受过中等教育(AOR:1.97;95%CI:1.06,3.67)、拥有社区基础医疗保险(AOR:1.82;95%CI:1.22,2.71)、没有合并症(AOR:1.82;95%CI:1.18,2.52)、服用<2 种药物(AOR:2.11;95%CI:1.20,2.45)、烹饪时不添加盐(AOR:1.72;95%CI:1.20,2.45)、不怕询问医生或护士(AOR:1.87;95%CI:1.03,3.40)是与心力衰竭患者药物治疗依从性相关的因素。

结论

本研究显示,56%的慢性心力衰竭患者具有最佳的药物治疗依从性。与更高的依从性相关的因素包括更高的教育水平、社区健康保险、没有合并症、服用的药物更少、避免添加盐以及与提供者进行舒适的沟通。卫生专业人员应提供教育以加强药物治疗的依从性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e62/11342635/4d8f990bd4f4/12872_2024_4090_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e62/11342635/4d8f990bd4f4/12872_2024_4090_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e62/11342635/4d8f990bd4f4/12872_2024_4090_Fig1_HTML.jpg

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