OBJECTIVE: To determine the clinical and demographic variables related to adherence to highly active antiretroviral therapy (HAART) in patients treated in our hospital and identify the characteristics of nonadherent patients. METHODS: Outpatients receiving treatment with HAART (n = 283) were asked about variables related to adherence and to complete the APGAR (family support), State-Trait Anxiety questionnaire (STAI) (emotional situation), and IAS (social support) questionnaires. Patients were classified in 2 groups depending on whether adherence was > or =95% or <95%. Adherence was defined as the percentage of dosage forms prescribed that were obtained by the patient at the hospital pharmacy. A multivariate analysis was created to analyze how each significant variable affected adherence. RESULTS: Our data showed significant nonadherence for patients with the following factors: low level of education, unemployed, emotional situation, and abuse of substances including intravenous drugs. All significant variables were included in a logistic regression model to optimize the results. This model considered 4 variables: age (95% CI 0.89 to 0.99), number of antiretroviral drugs (95% CI 1.05 to 2.11), STAI Anxiety/Trait test (95% CI 2.02 to 6.02), and abuse of drugs (95% CI 1.20 to 3.95). CONCLUSIONS: We recommended special intervention to reinforce adherence for younger patients, patients taking a high number of antiretroviral drugs, those who have a history of intravenous drug use, and those with high anxiety status.
OBJECTIVE: To determine the clinical and demographic variables related to adherence to highly active antiretroviral therapy (HAART) in patients treated in our hospital and identify the characteristics of nonadherent patients. METHODS: Outpatients receiving treatment with HAART (n = 283) were asked about variables related to adherence and to complete the APGAR (family support), State-Trait Anxiety questionnaire (STAI) (emotional situation), and IAS (social support) questionnaires. Patients were classified in 2 groups depending on whether adherence was > or =95% or <95%. Adherence was defined as the percentage of dosage forms prescribed that were obtained by the patient at the hospital pharmacy. A multivariate analysis was created to analyze how each significant variable affected adherence. RESULTS: Our data showed significant nonadherence for patients with the following factors: low level of education, unemployed, emotional situation, and abuse of substances including intravenous drugs. All significant variables were included in a logistic regression model to optimize the results. This model considered 4 variables: age (95% CI 0.89 to 0.99), number of antiretroviral drugs (95% CI 1.05 to 2.11), STAI Anxiety/Trait test (95% CI 2.02 to 6.02), and abuse of drugs (95% CI 1.20 to 3.95). CONCLUSIONS: We recommended special intervention to reinforce adherence for younger patients, patients taking a high number of antiretroviral drugs, those who have a history of intravenous drug use, and those with high anxiety status.
Authors: Karl Goodkin; Benedetto Vitiello; William D Lyman; Deshratn Asthana; J Hampton Atkinson; Peter N R Heseltine; Rebeca Molina; Wenli Zheng; Imad Khamis; Frances L Wilkie; Paul Shapshak Journal: J Neurovirol Date: 2006-06 Impact factor: 2.643
Authors: Matthew E Levy; Anne K Monroe; Michael A Horberg; Debra A Benator; Sherry Molock; Rupali K Doshi; Lindsey Powers Happ; Amanda D Castel Journal: J Acquir Immune Defic Syndr Date: 2019-11-01 Impact factor: 3.731
Authors: Roger D Rossen; Jose A Rubio; Wendy J Porter; JoAnn Trial; Frank M Orson; Maria C Rodriguez-Barradas; Holly H Birdsall Journal: AIDS Date: 2009-11-13 Impact factor: 4.177
Authors: Narjis Fikri-Benbrahim; Victoria García-Cárdenas; Loreto Sáez-Benito; Miguel A Gastelurrutia; María P Faus; Marie P Schneider; Parisa Aslani Journal: Pharm Pract (Granada) Date: 2009-03-15