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Main Authors: Roberta Lopes Karlburger, João Henrique Sendrete de Pinho, Fernando Antônio Basile Colugnati, Kris Denhaerynck, José Osmar Pestana Medina, Tainá Veras de Sandes‐Freitas, Sabina De Geest, Helady Sanders‐Pinheiro
Format: Artículo Open Access
Published: Wiley 2025
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Online Access:https://onlinelibrary.wiley.com/doi/10.1111/ctr.70339
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  • Associated Factors to Nonadherence to Routine Appointments after Kidney Transplantation: The ADHERE Brazil Study Roberta Lopes Karlburger João Henrique Sendrete de Pinho Fernando Antônio Basile Colugnati Kris Denhaerynck José Osmar Pestana Medina Tainá Veras de Sandes‐Freitas Sabina De Geest Helady Sanders‐Pinheiro Clinical Transplantation ABSTRACT Rationale Nonadherence to routine outpatient appointments (NApp) post kidney transplantation (KT) is a poorly studied health behavior associated with unfavorable outcomes. In the ADHERE BRAZIL Study, we previously reported a high prevalence of this behavior (12.7%). Aims and Objective This study aimed to identify the multilevel factors associated with NApp after KT. Method A cross‐sectional study, subproject of the ADHERE BRAZIL Study, was performed. We studied a randomized and multi‐stage sample of 1105 patients from 20 transplant centers. Patients who missed one or more of the last five scheduled appointments were considered nonadherent. Multivariate analysis was performed using sequential logistic regression, evaluating 49 multilevel variables, according to the Ecological Model (patient, micro, meso, and macro levels). Results Most patients were male (58.5%), with a mean age of 47.6 ± 12.6 years. The independent factors associated with NApp were, at the patient level: age (OR 0.97; 95% CI 0.96–0.99; p = 0.001), more than 5 years after KT (OR 2.03; 95% CI 1.38–3.00; p  < 0.001), and nonadherence to immunosuppressives (OR 2.41; 95% CI 1.66–3.50; p  < 0.001); at the micro level (health professionals): higher scores on the team trust scale (0–100) (OR 0.98; 95% CI 0.95–1.00; p  < 0.079), and at the meso level (KT center): frequent (monthly) consultations (OR 1.75; 95% CI 1.10–2.77; p  < 0.018) and scheduling difficulties (OR 1.91; 95% CI 1.16–3.17; p  < 0.011). Conclusion This study is the first to examine the association of health system factors with missed appointments after KT. The identified patient factors allow us to recognize patients at risk for NApp. Modifiable variables at the health professional and KT center levels suggest targets for effective interventions aiming to reduce this behavior and improve outcomes. Trial registration ClinicalTrials.gov on 10/10/2013, NCT02066935. 10.1111/ctr.70339 http://creativecommons.org/licenses/by/4.0/