Non-adherence to Immunosuppressives in Kidney Transplantation in Brazil Multicenter Study
NCT ID: NCT02066935
Last Updated: 2019-02-15
Study Results
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Basic Information
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COMPLETED
1105 participants
OBSERVATIONAL
2015-09-30
2017-09-30
Brief Summary
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Detailed Description
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SAMPLE, SETTING AND DATA COLLECTION
Sample, Setting: The sample size was defined based on data from the 2012 Brazilian Registry of Transplant (2012 RBT)6 available by the Brazilian Association of Transplantation (ABTO). The total number of patients transplanted in Brazil from 2000 to 2012 was 59,001 , and 20,504 patients have been registered to be monitored in transplant centers who contribute to that register. Using the OpenEpi stats program, the sample was calculated for studies of population frequency, considering the hypothetical 50% confidence interval of 5% and design effect ranging from 2.0 to 3.0. The obtained sample size ranged from 755 to 1130 patients.
Selection of the centers participating in the study: According to 2012 RTB, there are 123 active transplant center in Brazil, distributed by 22 states, which performed 5.385 KTxs in that year. We will arbitrarily divide the centers in two regions, according to their transplantation activity: Region 1 or high activity, including centers from South and Southeast region, and Region 2 or low / moderate activity accomplishing centers from North, Northeast and Midwest. To ensure representativeness of the characteristics of the centers we will also take in account other characteristics: transplantation activity, university or not, presence of multidisciplinary team. We arbitrarily made a pre-selection of the centers, considering the above questions, to invite to participate of the study. The number of patients per center will be set in relation to the number of patients being followed. Patients will be randomly selected in a regular office visit using routine computerized method previously defined.
Data Collection: Data will be collected in 6-12 months and directly register in the Research Electronic Data Capture (RedCap) system during a regular office visit to transplant service, by a trained professional. The RedCap is a safe internet program, created by the Vanderbilt University, designed exclusively for capture and storage of data that can be powered remotely by trained people. The Federal University of Juiz de Fora is part of the consortium of institutions authorized to use this program. It allows data to be collected, organized and stored in the same action, making the process of data analysis (http://www.project-redcap.org/).
VARIABLES AND MEASUREMENTS
The implementation phase of medication adherence (taking and timing dimensions, drug holidays and dose reduction) to immunosuppressive drugs is measured using three methods: a validated self-report (Basel Assessment of Adherence with Immunosuppressive Medication Scale - BAASIS), blood assay and collateral reports by health care workers.
Non-adherence to immunosuppressive drugs:
1. Self-reported non adherence: It will be measured using the four-item validated self-report The Basel Assessment of Adherence Scale for Immunosuppressive (BAASIS) which was recently validated to Brazilian Portuguese by our group5.
2. Collateral report: In addition, we will use a qualitative method of measuring adherence - the collateral report. We will ask to the nurse and to the medical assistant directly responsible for the follow-up care of the KTx recipients to score patients' adherence in one of three categories: good, fair or poor. "Good" or "fair" answers by one of the professionals classifies the patients as non-adherent.8
3. Blood assay: Patients´ adherence will also measured checking if the trough blood levels of the immunosuppressive drugs are within the therapeutic range.9 Composite adherence score: In order to increase diagnostic accuracy, a composite adherence score will be calculate based on findings of the BAASIS, collateral report and blood assay. Overall NAd will be define as an indication of NAd by one of the three methods.7,8
The current physical activity level (till 150minutes/week of moderate exercise), smoking status (current), alcohol use \[(\>1 drink/day (women), \>2 drinks/day (men)\] , and appointment keeping (missed ≥ 1 appointment/last 5) are assessed by using investigator-developed questions based on previous transplant research.
Risk factors of NAd: All the five WHO dimensions will be evaluated: socio-economic (age - years; gender; race - self-defined, white or other; highest level of education; employment; marital status - married or not; family income - per month; patient-related (smoking and alcohol intake - yes,no or social, ability in identifying the immunosuppressants in use); condition/disease-related (time on dialysis - months, dialysis modality - peritoneal or hemodialysis or preemptive transplant, post transplant time - months, previous acute rejection - as recorded in the file, creatinine, actual chronic kidney disease(-CKD) stage, estimated by CKD-EPI study formulae), therapy/treatment-related (donor - deceased, living-related, or living-unrelated donor graft; number of prescribed medications, number of dosing times) and healthcare system/healthcare worker-related factors (city of origin-same or different from transplant´s center, distance to transplant center -in miles, private insurance - yes or no, and subjective evaluation of the health workers (physician and nurse; if satisfied or not). Data will be collected from medical files and directly by a complementary questionnaire.
STATISTICAL PROCEDURES Baseline characteristics will be described as continuous variables as mean ± standard deviation or median with range whenever will appropriate. Categorical variables were represented as frequencies. For checking the normality of the sample, the Kolmogorov-Smirnov and Shapiro-Wilk tests will be conducted. T-Test, Mann-Whitney and Chi-square or Fisher´s Tests will be use to assess association between explanatory variables and adherence status. Multivariate Logistic Regression analysis will be performed to assess the association between the variables on the outcome of adherence. Statistical analysis will be performed using SPSS software v.19.0 for Windows (EUA, Chicago). A p value \<0.05 will consider significant.
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Study Groups
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kidney transplant patient
Kidney transplanted patients for at least one year
kidney transplant patient
kidney transplanted patients for at least one year
Interventions
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kidney transplant patient
kidney transplanted patients for at least one year
Eligibility Criteria
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Inclusion Criteria
* More than 1 year posttransplant
* Willing to participate in the study by signing a written informed consent form.
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Hospital das Clínicas de São Paulo - SP
UNKNOWN
Instituto de Urologia e Nefrologia - São José Rio Preto/SP
UNKNOWN
Hospital do Rim/UNIFESP - SP
UNKNOWN
Hospital Israelita Albert Einstein
OTHER
Hospital de Clinicas da Unicamp - SP
UNKNOWN
Hospital São Francisco de Assis na Providência de Deus - RJ
UNKNOWN
Hospital Universitário UFJF - MG
UNKNOWN
Santa Casa de Juiz de Fora - MG
UNKNOWN
Fundação Prorim Hospital Municipal de São José Joinvile - SC
UNKNOWN
Santa Casa de Porto Alegre - RS
UNKNOWN
Hospital das Clínicas de Porto Alegre - RS
UNKNOWN
Hospital e Maternidade Angelina Caron - SC
UNKNOWN
Hospital Universitário do Maranhão - MA
UNKNOWN
Hospital Walter Cantidio - CE
UNKNOWN
Hospital Ofir Loyola - PA
UNKNOWN
Santa Casa de Misericórdia de Belo Horizonte - MG
UNKNOWN
Hospital São João de Deus - Divinolopis-MG
UNKNOWN
Hospital Antonio Targino- PB
UNKNOWN
University of Brasilia
OTHER
Hospital Onofre Lopes - RN
UNKNOWN
Fundação Instituto Mineiro de Estudo Pesquisa Em Nefrologi
OTHER
Responsible Party
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Helady Pinheiro, MD, PhD
MD; PhD
Principal Investigators
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HELADY S PINHEIRO, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Fundação Instituto Mineiro de Estudos e Pesquisas em Nefrologia
Locations
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Fundação Instituto Mineiro de Estudos e Pesquisas em Nefrologia
Juiz de Fora, Minas Gerais, Brazil
Countries
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References
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Neipp M, Jackobs S, Klempnauer J. Renal transplantation today. Langenbecks Arch Surg. 2009 Jan;394(1):1-16. doi: 10.1007/s00423-008-0335-1. Epub 2008 May 14.
Sabaté E. Adherence to long-term therapies: Evidence for action. Geneva: World Health Organization. 2003.
Denhaerynck K, Dobbels F, Cleemput I, Desmyttere A, Schafer-Keller P, Schaub S, De Geest S. Prevalence, consequences, and determinants of nonadherence in adult renal transplant patients: a literature review. Transpl Int. 2005 Oct;18(10):1121-33. doi: 10.1111/j.1432-2277.2005.00176.x.
Michelon TF, Piovesan F, Pozza R, Castilho C, Bittar AE, Keitel E, Santos A, Goldani JC, Garcia CD, Neumann J, Garcia VD. Noncompliance as a cause of renal graft loss. Transplant Proc. 2002 Nov;34(7):2768-70. doi: 10.1016/s0041-1345(02)03403-6. No abstract available.
Marsicano Ede O, Fernandes Nda S, Colugnati F, Grincenkov FR, Fernandes NM, De Geest S, Sanders-Pinheiro H. Transcultural adaptation and initial validation of Brazilian-Portuguese version of the Basel assessment of adherence to immunosuppressive medications scale (BAASIS) in kidney transplants. BMC Nephrol. 2013 May 21;14:108. doi: 10.1186/1471-2369-14-108.
Registro Brasileiro de Transplante 2012 [Online]. Available at: http://www.abto.com.br/profissionais.
Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005 Aug 4;353(5):487-97. doi: 10.1056/NEJMra050100. No abstract available.
Schafer-Keller P, Steiger J, Bock A, Denhaerynck K, De Geest S. Diagnostic accuracy of measurement methods to assess non-adherence to immunosuppressive drugs in kidney transplant recipients. Am J Transplant. 2008 Mar;8(3):616-26. doi: 10.1111/j.1600-6143.2007.02127.x.
Denhaerynck K, Burkhalter F, Schafer-Keller P, Steiger J, Bock A, De Geest S. Clinical consequences of non adherence to immunosuppressive medication in kidney transplant patients. Transpl Int. 2009 Apr;22(4):441-6. doi: 10.1111/j.1432-2277.2008.00820.x. Epub 2008 Dec 24.
Karlburger RL, de Pinho JHS, Basile Colugnati FA, Denhaerynck K, Medina JOP, Veras de Sandes-Freitas T, De Geest S, Sanders-Pinheiro H; ADHERE BRAZIL Study Team. Associated Factors to Nonadherence to Routine Appointments after Kidney Transplantation: The ADHERE Brazil Study. Clin Transplant. 2025 Oct;39(10):e70339. doi: 10.1111/ctr.70339.
Marsicano-Souza EO, Colugnati FAB, de Castro BBA, Van Keullen MDS, De Geest S, Sanders-Pinheiro H. Management strategies for implementing a multicenter cross-sectional study: lessons from the ADHERE Brazil study. Sao Paulo Med J. 2022 May-Jun;140(3):439-446. doi: 10.1590/1516-3180.2021.0492.R1.15092021.
Sanders-Pinheiro H, Colugnati FAB, Marsicano EO, De Geest S, Medina JOP; Adhere Brazil Consortium Group. Prevalence and correlates of non-adherence to immunosuppressants and to health behaviours in patients after kidney transplantation in Brazil - the ADHERE BRAZIL multicentre study: a cross-sectional study protocol. BMC Nephrol. 2018 Feb 20;19(1):41. doi: 10.1186/s12882-018-0840-6.
Other Identifiers
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ADHEREBZ-001
Identifier Type: -
Identifier Source: org_study_id
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