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It is well‐recognized that adolescence and early adulthood are a high‐risk period for non‐adherence with treatment regimens in solid organ transplant recipients, leading to high rates of rejection and graft loss (Transplantation, 92, 2011, 1237; Pediatr Transplant, 9, 2005, 381; Transplantation, 77, 2004, 769). Preventing medication non‐adherence is the holy grail of transplant adolescent care. If we can determine how best to support our patients in taking their daily medications as prescribed, we can improve long‐term health, reduce need for re‐transplantation, and reduce healthcare costs. In the last few years, several studies have provided us with additional insights into potentially effective interventions and have highlighted existing gaps in knowledge. This article reviews recent literature published over the last 5 years on the topic of adherence in transplant recipients, highlighting insights and opportunities to promote adherence at the individual patient level, family level, healthcare system level, and community level. Above all, the recent work that is highlighted suggests that adherence interventions for prevention and treatment must be multifaceted, individualized, and longitudinal to be effective. [ABSTRACT FROM AUTHOR]

Background: Medical provider assessment of nonadherence is known to be inaccurate. Researchers have suggested using a multimethod assessment approach; however, no study has demonstrated how to integrate different measures to improve accuracy. This study aimed to determine if using additional measures improves the accurate identification of nonadherence beyond provider assessment alone.Methods: Eighty-seven adolescents and young adults (AYAs), age 11-19 years, with chronic kidney disease (CKD) [stage 1-5/end-stage renal disease (ESRD)] and prescribed antihypertensive medication, their caregivers, and 17 medical providers participated in the multisite study. Five adherence measures were obtained: provider report, AYA report, caregiver report, electronic medication monitoring (MEMS), and pharmacy refill data [medication possession ratio (MPR)]. Concordance was calculated using kappa statistic. Sensitivity, specificity, positive predictive power, and negative predictive power were calculated using MEMS as the criterion for measuring adherence.Results: There was poor to fair concordance (kappas = 0.12-0.54), with 35-61% of AYAs classified as nonadherent depending on the measure. While both providers and MEMS classified 35% of the AYAs as nonadherent, sensitivity (0.57) and specificity (0.77) demonstrated poor agreement between the two measures on identifying which AYAs were nonadherent. Combining provider report of nonadherence and MPR < 75% resulted in the highest sensitivity for identifying nonadherence (0.90) and negative predictive power (0.88).Conclusions: Nonadherence is prevalent in AYAs with CKD. Providers inaccurately identify nonadherence, leading to missed opportunities to intervene. Our study demonstrates the benefit to utilizing a multimethod approach to identify nonadherence in patients with chronic disease, an essential first step to reduce nonadherence. [ABSTRACT FROM AUTHOR]

Objective: To investigate longitudinal associations of health beliefs, which included self-efficacy, outcome expectancies, and perceived barriers, and demographic risk factors (i.e., age, gender, race, and family income) with antihypertensive medication adherence in adolescents with chronic kidney disease (CKD) over 24 months.Method: The sample included 114 adolescents (M age = 15.03 years, SD = 2.44) diagnosed with CKD. Adolescents reported their self-efficacy for taking medications, medication outcome expectancies, and barriers to adherence at baseline and 12 and 24 months after baseline. Antihypertensive medication adherence was assessed via electronic monitoring for 2 weeks at baseline and 6, 12, 18, and 24 months after baseline.Results: Adherence increased and then decreased over the 2-year study period (inverted U-shape). Self-efficacy, outcome expectancies, and barriers did not change over time. Older adolescent age, female gender, African American race, <$50,000 annual family income, and public health insurance were associated with lower adherence. However, family income was the primary demographic risk factor that predicted adherence over time (≥$50,000 annual family income was longitudinally associated with higher adherence). Higher self-efficacy and more positive and less negative outcome expectancies across time were also associated with higher antihypertensive medication adherence across time.Conclusions: Clinical interventions should be developed to target medication self-efficacy and outcome expectancies to improve long-term antihypertensive medication adherence in adolescents with CKD. Family income may be considered when conceptualizing contextual factors that likely contribute to adolescents' consistent challenges with medication adherence over time. [ABSTRACT FROM AUTHOR]