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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]

Background: Poor adherence habits are key contributors to nonadherence but there are few clinically feasible methods for evaluating adherence habits, particularly for youths with chronic kidney disease (CKD). This study investigated how participants' qualitative responses to three interview questions about adherence habits mapped to primary principles of habit formation and objectively measured medication adherence in youths with CKD. Methods: Participants (ages 11–21 years) were recruited from a pediatric nephrology clinic as part of a larger study. Participants' daily objective antihypertensive medication adherence was measured with an electronic pill bottle over a 4-week baseline period. Qualitative interviews about adherence habits and routines were conducted with a subset of participants (N = 18). Results: Clear qualitative differences emerged in how participants with high-medium adherence (80–100%) discussed adherence habits compared to participants with low adherence (0–79%). Participants with high-medium adherence discussed situational cues for taking medicine, including locations that cue adherence, step-by-step events leading up to taking medicine, and people who cue adherence. Participants with high-medium adherence regularly described taking medicine as "automatic," "second nature," and a "habit." Participants with low adherence rarely discussed these habit features nor did they explicitly acknowledge currently missing doses. Participants with low adherence tended to discuss challenges with organization and routines for taking medicine. Conclusions: Evaluating patient responses to questions about adherence habits may uncover challenges with adherence habit formation, provide direction for habit-strengthening intervention focused on developing automatic cues for taking medication, and support adherence successes for youths with CKD. Clinical trial registration number: NCT03651596. [ABSTRACT FROM AUTHOR]

Objective: To evaluate whether engagement and affective communication among adolescents and young adults (AYAs) with chronic kidney disease (CKD), caregivers, and pediatric nephrology providers during outpatient clinic visits predicts antihypertensive medication adherence.Methods: AYAs (n = 60, M age = 15.4 years, SD = 2.7, 40% female, 43% African American/Black) and caregivers (n = 60, 73% female) attended audio-recorded clinic visits with pediatric nephrologists (n = 12, 75% female). Recordings were analyzed using global affect ratings of the Roter Interactional Analysis System. Antihypertensive medication adherence was monitored electronically before and after clinic visits. A linear regression model evaluated associations between affect ratings and post-visit adherence.Results: AYAs took 84% of doses (SD = 20%) pre-visit and 82% of doses (SD = 24%) post-visit. Higher AYA engagement (β = 0.03, p = .01) and the absence of provider negative affect (β=-0.15, p = .04) were associated with higher post-visit adherence, controlling for pre-visit adherence, AYA sex, age, and race, and clustered by provider.Conclusions: Post-visit adherence was higher when AYAs were rated as more engaged and providers as less negative.Practice Implications: AYAs with lower engagement may benefit from further adherence assessment. Communication strategies designed to more actively engage AYAs in their care and diminish provider conveyance of negative affect during clinic visits may positively influence adherence among AYAs with CKD. [ABSTRACT FROM AUTHOR]