RESUMO
OBJECTIVE: Physical activity is recommended for recipients of a kidney transplant. However, ADHERE BRAZIL study found a high prevalence (69%) of physical inactivity in Brazilian recipients of a kidney transplant. To tackle this behavior, a broad analysis of barriers is needed. This study aimed to identify factors (patient and transplant center levels) associated with physical inactivity among recipients of a kidney transplant. METHODS: This was a subproject of the ADHERE BRAZIL study, a cross-sectional, multicenter study of 1105 recipients of a kidney transplant from 20 kidney transplant centers. Using a multistage sampling method, patients were proportionally and randomly selected. Applying the Brief Physical Activity Assessment questionnaire, patients were classified as physically active (≥150 min/wk) or physically inactive (<150 min/wk). On the basis of an ecological model, 34 factors associated with physical inactivity were analyzed by sequential logistic regression. RESULTS: At the patient level, physical inactivity was associated with smoking (odds ratio = 2.43; 95% CI = 0.97-6.06), obesity (odds ratio = 1.79; 95% CI = 1.26-2.55), peripheral vascular disease (odds ratio = 3.18; 95% CI = 1.20-8.42), >3 posttransplant hospitalizations (odds ratio = 1.58; 95% CI = 1.17-2.13), family income of >1 reference salary ($248.28 per month; odds ratio = 0.66; 95% CI = 0.48-0.90), and student status (odds ratio = 0.58; 95% CI = 0.37-0.92). At the center level, the correlates were having exercise physiologists in the clinical team (odds ratio = 0.54; 95% CI = 0.46-0.64) and being monitored in a teaching hospital (undergraduate students) (odds ratio = 1.47; 95% CI = 1.01-2.13). CONCLUSIONS: This study identified factors associated with physical inactivity after kidney transplantation that may guide future multilevel behavioral change interventions for physical activity. IMPACT: In a multicenter sample of recipients of a kidney transplant with a prevalence of physical inactivity of 69%, we found associations between this behavior and patient- and center-level factors. At the patient level, the chance of physical inactivity was positively associated with smoking, obesity, and patient morbidity (peripheral vascular disease and hospitalization events after kidney transplantation). Conversely, a high family income and a student status negatively correlated with physical inactivity. At the center level, the presence of a dedicated professional to motivate physical activity resulted in a reduced chance of physical inactivity. A broad knowledge of barriers associated with physical inactivity can allow us to identify patients at a high risk of not adhering to the recommended levels of physical activity.
Assuntos
Transplante de Rim , Comportamento Sedentário , Humanos , Brasil/epidemiologia , Feminino , Masculino , Estudos Transversais , Pessoa de Meia-Idade , Adulto , Exercício Físico , Fatores de Risco , Inquéritos e Questionários , Obesidade/epidemiologia , Fumar/epidemiologiaRESUMO
BACKGROUND: Immunosuppressive nonadherence is a risk factor for worse outcomes after kidney transplantation (KT). Brazil, having the world's largest public, fully covered transplantation system and the second-highest KT volume worldwide, provides a unique setting for studying multilevel correlates of nonadherence (patient, healthcare provider, transplant center, and healthcare system levels) independent of patients' financial burden. METHODS: By applying a multistage sampling approach, we included 1105 patients from 20 KT centers. Nonadherence to immunosuppressives (implementation phase) was defined as any deviation in taking or timing adherence and dose reduction assessed by the Basel Assessment of Adherence to Immunosuppressive Medications Scale. Based on Bronfenbrenner's ecological model, we assessed multilevel factors using established instruments and measures specifically developed for this study and analyzed their independent contribution to nonadherence by performing sequential logistic regression analysis. RESULTS: The nonadherence prevalence rate was 39.7%. The following factors were independently associated with nonadherence: Patient level-having a stable partner (odds ratio [OR]: 0.75; confidence interval [CI]: 0.58-0.97), nonadherence to appointments (OR: 2.98; CI: 2.03-4.39), and nonadherence to physical activity recommendations (OR: 1.84; CI: 1.38-2.46); and transplant center level-satisfaction with the waiting room structure (OR: 0.54; CI: 0.42-0.71), consultation >30 minutes (OR: 1.60; CI: 1.19-2.14), adequacy of the consultation frequency (OR: 0.62; CI: 0.43-0.90), and centers with >500 beds (OR: 0.58; CI: 0.46-0.73). CONCLUSIONS: As the first multicenter study assessing multilevel correlates of nonadherence in KT, our findings point to the need for multilevel interventions beyond the patient level, targeting transplant center practice patterns as an approach to tackle nonadherence.
Assuntos
Rejeição de Enxerto/prevenção & controle , Sobrevivência de Enxerto/efeitos dos fármacos , Imunossupressores/uso terapêutico , Transplante de Rim , Adesão à Medicação , Adulto , Brasil , Estudos Transversais , Atenção à Saúde , Feminino , Rejeição de Enxerto/imunologia , Humanos , Imunossupressores/efeitos adversos , Transplante de Rim/efeitos adversos , Masculino , Pessoa de Meia-Idade , Padrões de Prática Médica , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do TratamentoRESUMO
PURPOSE: To assess and compare the prevalence of medication nonadherence (MNA) (implementation and persistence) to immunosuppressants and co-medications in heart transplant recipients. METHODS: MNA prevalence was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (self-report) and compared using logistic regression in a 4-continent sample of 1397 heart transplant recipients from 36 heart transplant centers in 11 countries. FINDINGS: MNA was significantly (a » 0.05) higher to co-medications than to immunosuppressants (taking nonadherence: 23.9% vs 17.3%; odds ratio [OR] » 1.5; 95% CI, 1.30e1.73; drug holiday: 5.7% vs 1.9%; OR » 3.17; 95% CI, 2.13e4.73; dose alteration: 3.8% vs 1.6%; OR » 2.46; 95% CI, 1.49e4.06; and discontinuation: 2.6% vs 0.5%; OR » 5.15; 95% CI, 2.36e11.20).
Assuntos
Adesão à Medicação , Transplantados , ImunossupressoresRESUMO
BACKGROUND: Patient adherence is often not monitored because existing methods of evaluating adherence are either burdensome or do not accurately predict treatment outcomes. AIM: To examine whether two simple, single-item physician-administered measures of patient adherence to antihypertensive medication are predictive of blood pressure outcomes. DESIGN AND SETTING: Retrospective database analysis of patients with hypertension treated in Belgian primary care. METHOD: Using pooled data from five observational studies, a sample was identified of 9725 patients who were assessed using two single-item physician-administered measures of adherence to antihypertensive medication: the first item of the Basel Assessment of Adherence Scale (BAAS) and the Visual Analogue Scale (VAS). These two assessment tools were administered by GPs during regular appointments with patients. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and combined SBP/DBP were measured at baseline and at 90 days. RESULTS: BAAS-identified adherent patients achieved lower mean SBP and DBP compared with non-adherent patients at 90 days (P<0.001), and had odds ratios of achieving blood pressure control of 0.66 (95% confidence intervals (CI) = 0.61 to 0.73, P<0.001) for SBP, 0.69 (95% CI = 0.62 to 0.76, P<0.001) for DBP, and 0.65 (95% CI = 0.59 to 0.72, P<0.001) for combined SBP/DBP. For VAS-identified adherent patients, the odds ratios of achieving blood pressure control were 0.93 (95% CI = 0.86 to 1.00, P<0.001) for SBP, 0.79 (95% CI = 0.73 to 0.85, P<0.001) for DBP, and 0.91 (95% CI = 0.84 to 0.99, P<0.001) for combined SBP/DBP. CONCLUSIONS: The first item of the BAAS and the VAS are independent predictors of blood pressure control. These methods can be integrated seamlessly into routine clinical practice by allowing GPs to quickly evaluate a patient's adherence and tailor treatment recommendations accordingly.