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

Yashvi Patel,1,&ast; Hasan Alsaedi,1,&ast; Zahra Majd,2 Issra Altaie,1 Sama Rahimi,1 Bilqees Fatima,2 Onyebuchi Ononogbu,1 Susan Abughosh,2 Meghana V Trivedi1 1Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA; 2Department of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, Houston, TX, USA&ast;These authors contributed equally to this workCorrespondence: Meghana V Trivedi, University of Houston, College of Pharmacy, Health 2, 4349 Martin Luther King Blvd, Houston, TX, 77204-5000, USA, Tel +1 832 842 8335, Fax +1 832 842 8383, Email [email protected]: 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.Keywords: oral endocrine therapy, breast cancer, medication adherence, group-based trajectory modeling, minority, underserved

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SHILAP Revista de lepidopterología
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2025-03-01
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Medication Adherence and Compliance
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article

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

SHILAP Revista de lepidopterología
Medication Adherence and Compliance
article

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

article en

Abstract

Yashvi Patel,1,&ast; Hasan Alsaedi,1,&ast; Zahra Majd,2 Issra Altaie,1 Sama Rahimi,1 Bilqees Fatima,2 Onyebuchi Ononogbu,1 Susan Abughosh,2 Meghana V Trivedi1 1Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA; 2Department of Pharmaceutical Health Outcomes and Policy, University of Houston College of Pharmacy, Houston, TX, USA&ast;These authors contributed equally to this workCorrespondence: Meghana V Trivedi, University of Houston, College of Pharmacy, Health 2, 4349 Martin Luther King Blvd, Houston, TX, 77204-5000, USA, Tel +1 832 842 8335, Fax +1 832 842 8383, Email [email protected]: 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.Keywords: oral endocrine therapy, breast cancer, medication adherence, group-based trajectory modeling, minority, underserved

SHILAP Revista de lepidopterología
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Openalex Percentile: Top 40%
Medication Adherence and Compliance
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