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在一个部落卫生系统中,2 型糖尿病成年人的药物使用情况、健康决定因素和 A1C 水平。

Medication Engagement, Determinants of Health, and A1C Levels Among Adults With Type 2 Diabetes within a Tribal Health System.

机构信息

University of Florida, College of Nursing, Gainesville, Florida.

University of Florida, College of Pharmacy, Gainesville, Florida.

出版信息

Sci Diabetes Self Manag Care. 2024 Aug;50(4):275-286. doi: 10.1177/26350106241259007. Epub 2024 Jul 31.

DOI:10.1177/26350106241259007
PMID:39082085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11580797/
Abstract

PURPOSE

The purpose of this study was to examine the association between determinants of health, medication engagement, and A1C levels in adults with type 2 diabetes (T2DM) receiving Tribal health and pharmacy services.

METHODS

A retrospective analysis of 2020-2021 electronic health record data was conducted and included adult patients with T2DM using Choctaw Nation Health Services Authority prescribed ≥1 noninsulin glucose-lowering medication in 2020, had ≥1 A1C value in 2020 and 2021, and had a valid zip code in 2021. Patients receiving both insulin and other noninsulin glucose-lowering medication were included. The proportion of days covered (PDC) was used to calculate medication engagement. Statistical analyses included bivariate analysis and linear regression.

RESULTS

There were 3787 patients included in the analyses; 62.5% were considered engaged (PDC ≥ 0.8). The mean 2020 A1C level was 8.0 (64 mmol/mol) ± 1.8; 33% had an A1C of <7%, 42% had an A1C of 7% to 9%, and 25% had an A1C >9%. The mean A1C in 2021 was 7.9 (63 mmol/mol) ± 1.7; 34% had an A1C of <7%, 44% had an A1C of 7% to 9%, and 22% had an A1C >9%. Older age was weakly correlated with higher engagement; higher engagement was associated with lower A1C levels while adjusting for covariates.

CONCLUSIONS

Medication engagement was associated with lower A1C levels, and older age was weakly associated with higher engagement to noninsulin glucose-lowering medications, consistent with previous literature. No determinants of health were significantly associated with A1C levels while adjusting for covariates.

摘要

目的

本研究旨在探讨接受部落卫生和药房服务的 2 型糖尿病(T2DM)成年人中健康决定因素、药物治疗依从性与 A1C 水平之间的关系。

方法

对 2020-2021 年电子健康记录数据进行回顾性分析,纳入 2020 年使用 Choctaw Nation Health Services Authority 开具的≥1 种非胰岛素类降血糖药物且 2020 年和 2021 年至少有 1 次 A1C 值、2021 年有有效邮政编码的成年 T2DM 患者。纳入同时使用胰岛素和其他非胰岛素类降血糖药物的患者。采用比例用药天数(PDC)计算药物治疗依从性。统计学分析包括单变量分析和线性回归。

结果

共纳入 3787 例患者;62.5%的患者被认为是依从性好(PDC≥0.8)。2020 年平均 A1C 水平为 8.0(64mmol/mol)±1.8;33%的患者 A1C<7%,42%的患者 A1C 为 7%9%,25%的患者 A1C>9%。2021 年平均 A1C 水平为 7.9(63mmol/mol)±1.7;34%的患者 A1C<7%,44%的患者 A1C 为 7%9%,22%的患者 A1C>9%。年龄较大与更高的依从性呈弱相关;在调整协变量后,更高的依从性与较低的 A1C 水平相关。

结论

药物治疗依从性与 A1C 水平降低相关,年龄较大与非胰岛素类降血糖药物的更高依从性呈弱相关,与既往文献一致。在调整协变量后,健康决定因素与 A1C 水平无显著相关性。

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本文引用的文献

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Diabetes Care. 2023 Jun 1;46(6):1245-1251. doi: 10.2337/dc22-1885.
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Towards better reporting of the proportion of days covered method in cardiovascular medication adherence: A scoping review and new tool TEN-SPIDERS.关于改善心血管药物依从性中覆盖天数比例方法报告的研究:一项范围综述及新工具TEN-SPIDERS
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Estimating proportion of days covered (PDC) using real-world online medicine suppliers' datasets.
使用真实世界在线药品供应商数据集估算覆盖天数比例(PDC)。
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Patient need and provider referrals to diabetes self-management education.患者需求和提供者转介至糖尿病自我管理教育。
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An Adaptable Framework for Factors Contributing to Medication Adherence: Results from a Systematic Review of 102 Conceptual Frameworks.一个适用于导致药物依从性因素的可适应框架:来自 102 个概念框架的系统评价的结果。
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The Impact of Social Determinants of Health on Medication Adherence: a Systematic Review and Meta-analysis.社会健康决定因素对药物依从性的影响:系统评价和荟萃分析。
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