Koh Yi Ling Eileen, Chua Kian Yong Kenny, Ng Ding Xuan, Aau Wai Keong, Tan Ngiap Chuan
SingHealth Polyclinics, Research, Singapore, Singapore.
National University of Singapore, Institute of System Science, Singapore, Singapore.
Front Pharmacol. 2025 Mar 4;16:1516062. doi: 10.3389/fphar.2025.1516062. eCollection 2025.
Adherence to prescribed inhaled controller medication is a determinant of asthma health outcomes. Traditional methods for assessing medication adherence (MA) can be challenging in real-world clinical settings. A new behavioral science approach presents opportunities to develop a novel MA assessment tool that also allows the prediction of acute asthma exacerbations. The current study aims to evaluate MA among adults with asthma based on their prescription collection behavior and its relationship with subsequent exacerbations.
This retrospective study was conducted on Asian adults with clinically diagnosed asthma and managed in public primary care clinics in Singapore from 2016 to 2023. Clinical data of patients, including socio-demographical, clinical (including Asthma Control Test scores), and prescription records were thoroughly examined to determine MA. The participants were stratified into the Full Collection (FC) group for those collections of prescribed asthma medication within a week; Partial Collection (PC) group for partial medication collection; No Collection (NC) group for no dispensation record within 1 year of the prescription date. The Proportion of Days Covered (PDC), defined as the proportion of days in which a patient gets access to the medication was determined to correlate with the prescription collection method. Multiple stepwise logistic regression was used to assess MA with rescue therapy (RT) occurrence as indicators of acute asthma exacerbations.
In this study, complete records of 13,482 patients were analyzed. The patients were categorized into three groups: FC (23.2%), PC (72.9%), and NC (3.9%) groups. Those who had PC or NC were more likely to have RT in the following year (19.5% and 9.4%, respectively), compared to FC (5.2%) group. Patients with RT demonstrated higher oral steroid dispensed compared to those without RT (mean (SD) of 319.7 (273.7) vs. 143.6 (175.8) compared to patients without RT (0.78 [0.26] vs. 0.81 [0.29]). Logistic regression analysis revealed that both patients from PC and NC groups had a greater probability of experiencing RT in the following year (partial: 2.364 (1.964-2.847), p < 0.001); no collection: 2.030 (1.318-3.127), p = 0.001). Lower minimum ACT scores (0.317 vs. 1.0) were noted for the PC group and an increase in minimal ACT score of 0.167 for every unit increase in PDC was also observed.
Patients in the FC group exhibited higher MA and were less likely to receive RT due to their asthma exacerbations in subsequent years.
坚持使用规定的吸入控制药物是哮喘健康结局的一个决定因素。在现实世界的临床环境中,评估药物依从性(MA)的传统方法可能具有挑战性。一种新的行为科学方法为开发一种新颖的MA评估工具提供了机会,该工具还能够预测急性哮喘发作。本研究旨在根据哮喘成年患者的处方取药行为评估其MA,并探讨其与随后发作的关系。
本回顾性研究针对2016年至2023年在新加坡公共基层医疗诊所接受治疗的临床诊断为哮喘的亚洲成年人。对患者的临床数据进行了全面检查,包括社会人口统计学、临床(包括哮喘控制测试分数)和处方记录,以确定MA。参与者被分为三组:一周内取齐规定哮喘药物的全取药组(FC组);部分取药组(PC组);处方日期后1年内无配药记录的未取药组(NC组)。用药覆盖天数比例(PDC)定义为患者获得药物的天数比例,被确定与处方取药方式相关。采用多步逻辑回归分析,以急救治疗(RT)的发生作为急性哮喘发作的指标来评估MA。
本研究共分析了13482例患者的完整记录。患者被分为三组:FC组(23.2%)、PC组(72.9%)和NC组(3.9%)。与FC组(5.2%)相比,PC组和NC组的患者在次年更有可能接受RT(分别为19.5%和9.4%)。与未接受RT的患者相比,接受RT的患者口服类固醇的配药量更高(平均值(标准差)分别为319.7(273.7)和143.6(175.8))。逻辑回归分析显示,PC组和NC组的患者在次年发生RT的可能性更大(部分取药组:2.364(1.964 - 2.847),p < 0.001;未取药组:2.030(1.318 - 3.127),p = 0.001)。PC组的最低哮喘控制测试(ACT)分数较低(0.317 vs. 1.0),并且观察到PDC每增加一个单位,最低ACT分数增加0.167。
FC组患者表现出更高的MA,并且在随后几年因哮喘发作而接受RT的可能性较小。