1. Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?
- Author
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Yue-Harn Ng, MD, Igor Litvinovich, MS, Yuridia Leyva, MS, C. Graham Ford, MS, Yiliang Zhu, PhD, Kellee Kendall, MPH, Emilee Croswell, BA, Chethan M. Puttarajappa, MD, Mary Amanda Dew, PhD, Ron Shapiro, MD, Mark L. Unruh, MD, and Larissa Myaskovsky, PhD
- Subjects
Surgery ,RD1-811 - Abstract
Background. Barriers to medication adherence may differ from barriers in other domains of adherence. In this study, we assessed the association between pre–kidney transplantation (KT) factors with nonadherent behaviors in 3 different domains post-KT. Methods. We conducted a prospective cohort study with patient interviews at initial KT evaluation (baseline—nonadherence predictors in sociodemographic, condition-related, health system, and patient-related psychosocial factors) and at ≈6 mo post-KT (adherence outcomes: medications, healthcare follow-up, and lifestyle behavior). All patients who underwent KT at our institution and had ≈6-mo follow-up interview were included in the study. We assessed nonadherence in 3 different domains using continuous composite measures derived from the Health Habit Survey. We built multiple linear and logistic regression models, adjusting for baseline characteristics, to predict adherence outcomes. Results. We included 173 participants. Black race (mean difference in adherence score: −0.72; 95% confidence interval [CI], −1.12 to −0.32) and higher income (mean difference: −0.34; 95% CI, −0.67 to −0.02) predicted lower medication adherence. Experience of racial discrimination predicted lower adherence (odds ratio, 0.31; 95% CI, 0.12–0.76) and having internal locus of control predicted better adherence (odds ratio, 1.46; 95% CI, 1.06–2.03) to healthcare follow-up. In the lifestyle domain, higher education (mean difference: 0.75; 95% CI, 0.21–1.29) and lower body mass index (mean difference: −0.08; 95% CI, −0.13 to −0.03) predicted better adherence to dietary recommendations, but no risk factors predicted exercise adherence. Conclusions. Different nonadherence behaviors may stem from different motivation and risk factors (eg, clinic nonattendance due to experiencing racial discrimination). Thus adherence intervention should be individualized to target at-risk population (eg, bias reduction training for medical staff to improve patient adherence to clinic visit).
- Published
- 2022
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