Nonadherence to Immunosuppressive Medications Following Pediatric Kidney Transplantation Within Full Cost Coverage Health System: Prevalence and Correlates

OBJECTIVES Pediatric patients are at higher risk of nonadherence to immunosuppressive medication after kidney transplant and the resulting adverse outcomes. Factors associated with nonadherence vary, which follow an epidemiological framework and according to health system patterns. The Brazilian public health system covers all costs of kidney transplant, including immunosuppressive medications. We aimed to assess the prevalence and correlates of nonadherence to immunosuppressive medications in a pediatric kidney transplant population who received free access to immunosuppressive medications within the health care system. MATERIALS AND METHODS In this single-center crosssectional study, we studied a convenience sample of 156 outpatients (< 18 years old) who were a minimum of 4 weeks posttransplant. Implementation nonadherence to immunosuppressive medications was measured by the 4 questions of the Basel Assessment of Adherence to Immunosuppressive Medications Scale. Multilevel correlates to non - adherence (patient, micro, and macro levels) were assessed. RESULTS In our patient population, 61% were males, mean age was 13.6 ± 3.1 years, 77% were adolescents, and 84% received organs from deceased donors. We found that 33% were nonadherent to immuno - suppressive medications, mainly in timing (25%) and taking (10.9%) dimensions. Being an adolescent (odds ratio: 2.66; CI, 1.02-6.96), religion other than Catholic or Protestant (odds ratio: 4.33; CI, 1.13-16.67), and family income higher than 4 reference wages (odds ratio: 3.50; CI, 1.14-10.75) were factors associated with nonadherence. CONCLUSIONS In our patient population of mostly adolescents, one-third displayed nonadherence to immunosuppressants. Unexpectedly, a higher economic profile, potentially representing better previous access to health care, was independently associated with nonadherence. This result highlights the need for identifying specific correlates to non - adherence before designing interventions.