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基于群组的轨迹建模,以识别大休斯顿地区服务不足人群口服内分泌治疗依从性的模式和预测因素。

Group-Based Trajectory Modeling to Identify Patterns and Predictors of Adherence to Oral Endocrine Therapies in Underserved Population of Greater Houston Area.

作者信息

Patel Yashvi, Alsaedi Hasan, Majd Zahra, Altaie Issra, Rahimi Sama, Fatima Bilqees, Ononogbu Onyebuchi, Abughosh Susan, Trivedi Meghana V

机构信息

Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA.

Department of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, Houston, TX, USA.

出版信息

Patient Prefer Adherence. 2025 Mar 1;19:473-484. doi: 10.2147/PPA.S467892. eCollection 2025.

Abstract

BACKGROUND

Poor adherence to oral endocrine therapy (OET) is a significant problem among patients with hormone receptor-positive breast cancer as it results in higher risk of recurrence and mortality. Non-adherence to OET is prevalent among underserved patients, often attributable to socioeconomic factors and limited healthcare access. We evaluated OET adherence patterns over time using group-based trajectory modeling (GBTM) and identified predictors of suboptimal adherence trajectory among patients seen at Harris Health System, serving underserved patients in Houston, Texas.

METHODS

A single-center, retrospective study was conducted from October 2019 through December 2020. OET adherence was measured using proportion of days covered (PDC). A logistic GBTM was conducted using 2-5 adherence groups considering the Bayesian information criteria, clinical relevance, and a 5% minimum membership requirement. Multinomial logistic regression was used to assess the predictors of non-adherence trajectories.

RESULTS

Among 496 patients, majority were Hispanic (62.50%) or African American (15.12%) and <65 years of age (82.66%). Four distinct adherence trajectories were identified: consistent high adherence (41.4%); constant PDC at ~0.6 (32.6%); rapid decline (14.6%); low adherence with gradual decline (11.5%). African Americans had higher likelihood of having low adherence with gradual decline [odds ratio (OR): 2.462 (confidence interval (CI): 1.1149-5.276), p=0.0205]. Patients with diabetes were more likely to have constant PDC at ~0.6 [OR: 1.714 (CI: 1.042-2.820), p=0.0338]. Longer time (4 or greater years) on therapy predicted low adherence with gradual decline [OR: 2.463 (CI: 1.266-4.793), p=0.008) and constant PDC at ~0.6 (OR: 1.966 (CI: 1.141-3.388), p=0.0149] trajectories.

CONCLUSION

The identified predictors, including comorbidities like diabetes, African American descent, and longer OET treatment are crucial considerations when developing patient-centered interventions to enhance OET adherence among underserved populations. These insights can guide the implementation of initiatives such as mobile health applications, community-based educational programs, and financial aid efforts.

摘要

背景

口服内分泌治疗(OET)依从性差是激素受体阳性乳腺癌患者中的一个重要问题,因为这会导致更高的复发风险和死亡率。在服务不足的患者中,OET不依从情况普遍存在,这通常归因于社会经济因素和有限的医疗服务可及性。我们使用基于群体的轨迹模型(GBTM)评估了随时间变化的OET依从模式,并确定了在德克萨斯州休斯顿为服务不足患者提供服务的哈里斯健康系统中就诊患者次优依从轨迹的预测因素。

方法

2019年10月至2020年12月进行了一项单中心回顾性研究。使用覆盖天数比例(PDC)来衡量OET依从性。考虑贝叶斯信息准则、临床相关性和5%的最低成员要求,使用2 - 5个依从性组进行逻辑GBTM分析。使用多项逻辑回归评估不依从轨迹的预测因素。

结果

在496名患者中,大多数是西班牙裔(62.50%)或非裔美国人(15.12%),年龄小于65岁(82.6%)。确定了四种不同的依从轨迹:持续高依从性(41.4%);PDC持续约为0.6(32.6%);快速下降(14.6%);低依从性且逐渐下降(11.5%)。非裔美国人出现低依从性且逐渐下降的可能性更高[优势比(OR):2.462(置信区间(CI):1.1149 - 5.276),p = 0.0205]。糖尿病患者更有可能PDC持续约为0.6[OR:1.714(CI:1.042 - 2.820),p = 0.0338]。治疗时间较长(4年或更长时间)预示着低依从性且逐渐下降[OR:2.463(CI:1.266 - 4.793),p = 0.008]以及PDC持续约为0.6的轨迹[OR:1.966(CI:1.141 - 3.388),p = 0.0149]。

结论

所确定的预测因素,包括糖尿病等合并症、非裔美国人血统以及较长的OET治疗时间,在制定以患者为中心的干预措施以提高服务不足人群的OET依从性时是至关重要的考虑因素。这些见解可以指导移动健康应用、社区教育项目和经济援助等举措的实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948a/11882467/21ef75dfdff9/PPA-19-473-g0001.jpg

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