2010
DOI: 10.1097/tp.0b013e3181e346cd
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The Psychometric Properties and Practicability of Self-Report Instruments to Identify Medication Nonadherence in Adult Transplant Patients: A Systematic Review

Abstract: The three selected self-report scales may assist transplant professionals in detecting nonadherence. However, these scales were only validated in patients with HIV. Although HIV shares similar characteristics with transplantation, including the importance of taking and timing of medication, further validation in transplant populations is required.

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Cited by 203 publications
(244 citation statements)
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References 44 publications
(30 reference statements)
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“…In addition to providing estimates of medication dose-taking behavior, self-reports can uniquely provide information about adherence determinants such as understanding of the medication regimen, reasons for nonadherence, attitudes and beliefs toward medicines, and other psychosocial factors. In clinical research settings, self-reports are frequently one component of triangulation strategies that combine multiple forms of adherence measurement [40], such as using self-report adherence measures to refine adherence data from electronic drug monitors (EDM) [32].…”
Section: Advantages and Disadvantages Of Self-report Adherence Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to providing estimates of medication dose-taking behavior, self-reports can uniquely provide information about adherence determinants such as understanding of the medication regimen, reasons for nonadherence, attitudes and beliefs toward medicines, and other psychosocial factors. In clinical research settings, self-reports are frequently one component of triangulation strategies that combine multiple forms of adherence measurement [40], such as using self-report adherence measures to refine adherence data from electronic drug monitors (EDM) [32].…”
Section: Advantages and Disadvantages Of Self-report Adherence Measuresmentioning
confidence: 99%
“…In addition to providing estimates of medication dose-taking behavior, self-reports can uniquely provide information about adherence determinants such as understanding of the medication regimen, reasons for nonadherence, attitudes and beliefs toward medicines, and other psychosocial factors. In clinical research settings, self-reports are frequently one component of triangulation strategies that combine multiple forms of adherence measurement [40], such as using self-report adherence measures to refine adherence data from electronic drug monitors (EDM) [32].Self-report measures of adherence have several potential disadvantages as well. These include the contestable assumptions that medication adherence behavior can be accurately recalled or reported without deference to social desirability concerns that encourage overreporting (for a review, see [9]).…”
mentioning
confidence: 99%
“…32,33 Moreover, BAASIS is the only instrument that has been validated for use among Brazilian Portuguese-speaking transplantation patients. 31 In addition, living donor recipients predominated in our sample.…”
Section: Discussionmentioning
confidence: 99%
“…12 As previously mentioned, to evaluate adherence to immunosuppressive drugs, we applied BAASIS, [32][33][34] as validated for use in Portuguese. 31 BAASIS assesses relevant dimensions of immunosuppressive drug use (i.e.…”
Section: Adherencementioning
confidence: 99%
“…Há alguns instrumentos que avaliam o uso de imunossupressores por meio de pontuações, as quais resultam em um escore que define adesão ou não adesão [16]. Dois instrumentos são muito utilizados para avaliação da adesão à terapia imunossupressora por autorrelato: o Immunosuppressant Therapy Adherence Instrument (ITAS), o qual mensura a adesão nos últimos três meses; e a Basel Assessment of Adherence Scale for Immunosuppressives (BAASIS), que mensura a adesão no último mês [17][18][19]. A BAASIS já foi validada para o Português, em estudo que identificou que 34% dos pacientes transplantados renais não eram aderentes ao tratamento imunossupressor [18].…”
Section: Introductionunclassified