Literature DB >> 16546786

Baseline predictors of three types of antiretroviral therapy (ART) adherence: a 2-year follow-up.

L Nilsson Schönnesson1, P M Diamond, M W Ross, M Williams, G Bratt.   

Abstract

The purposes of the study were to measure adherence with antiretroviral therapy to dose, schedule, and dietary instructions in a sample of patients with HIV infection in Stockholm, Sweden, over a 2-year period and identify baseline predictors of the three types of adherence. The study cohort consists of 144 patients who completed at least six out of seven follow-up self-reported adherence questionnaires. Baseline self-administrated questionnaire examined socio-demographics, medication-related, psychological, cognitive, and social context factors and self-reported adherence. Biomedical data were obtained through patients' medical records. Summary dose, schedule, and dietary instructions adherence scores provided outcome measures reflecting 100% adherence across all time points or not 100% adherence during at least one measurement period. A total of 61% maintained consistent full-dose adherence throughout baseline and all follow-up visits and equivalent proportion of 100% schedule adherence was 39%. Among patients with dietary instructions, 37% retained consistent adherence at all visits. Only schedule adherence was predicted by baseline data; perceived pressures from those close to the patient to take HIV medications (OR 0.51, p<.05), life stress (OR 0.13, p 0.009), ART health concerns (OR 0.19, p 0.003), and ART prolongs one's life (OR 0.39, p 0.04) predicted reduced schedule adherence over time. Perceived medication pressures from medical staff (OR 1.76, p<.05), post-traumatic stress disorder symptoms (OR 1.07 p<.01), and adherence self-efficacy (OR 3.50, p<.05) predicted positive schedule adherence over time. These results clearly illustrate difficulties in sustaining ART adherent behaviour, in particular schedule and dietary restrictions, over time and thus emphasizes the importance of multiple periodic assessments of all three types of adherence. Interventions aimed at improving schedule adherence should in particular focus on psychological and cognitive factors.

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Year:  2006        PMID: 16546786     DOI: 10.1080/09540120500456631

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  9 in total

1.  Associations among correlates of schedule adherence to antiretroviral therapy (ART): a path analysis of a sample of crack cocaine using sexually active African-Americans with HIV infection.

Authors:  J S Atkinson; L Nilsson Schönnesson; M L Williams; S C Timpson
Journal:  AIDS Care       Date:  2008-02

2.  Predictors of adherence to antiretroviral therapy among people living with HIV/AIDS in resource-limited setting of southwest ethiopia.

Authors:  Ayele Tiyou; Tefera Belachew; Fisehaye Alemseged; Sibhatu Biadgilign
Journal:  AIDS Res Ther       Date:  2010-10-30       Impact factor: 2.250

3.  Utilization of medical treatments and adherence to antiretroviral therapy among HIV-positive adults with histories of childhood sexual abuse.

Authors:  Christina S Meade; Nathan B Hansen; Arlene Kochman; Kathleen J Sikkema
Journal:  AIDS Patient Care STDS       Date:  2009-04       Impact factor: 5.078

4.  Long-term adherence to antiretroviral treatment and program drop-out in a high-risk urban setting in sub-Saharan Africa: a prospective cohort study.

Authors:  Christian Unge; Björn Södergård; Gaetano Marrone; Anna Thorson; Abigael Lukhwaro; Jane Carter; Festus Ilako; Anna Mia Ekström
Journal:  PLoS One       Date:  2010-10-25       Impact factor: 3.240

5.  Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis.

Authors:  Nienke Langebeek; Elizabeth H Gisolf; Peter Reiss; Sigrid C Vervoort; Thóra B Hafsteinsdóttir; Clemens Richter; Mirjam A G Sprangers; Pythia T Nieuwkerk
Journal:  BMC Med       Date:  2014-08-21       Impact factor: 8.775

6.  Patient and regimen characteristics associated with self-reported nonadherence to antiretroviral therapy.

Authors:  Patrick S Sullivan; Michael L Campsmith; Glenn V Nakamura; Elin B Begley; Jeffrey Schulden; Allyn K Nakashima
Journal:  PLoS One       Date:  2007-06-20       Impact factor: 3.240

7.  Predictors of adherence to antiretroviral therapy among HIV-infected persons: a prospective study in Southwest Ethiopia.

Authors:  Alemayehu Amberbir; Kifle Woldemichael; Sofonias Getachew; Belaineh Girma; Kebede Deribe
Journal:  BMC Public Health       Date:  2008-07-30       Impact factor: 3.295

8.  Prevalence and determinants of adherence to HAART amongst PLHIV in a tertiary health facility in south-south Nigeria.

Authors:  Afiong O Oku; Eme T Owoaje; Olusimbo K Ige; Angela Oyo-Ita
Journal:  BMC Infect Dis       Date:  2013-08-30       Impact factor: 3.090

9.  Medication adherence in HIV-positive patients with diabetes or hypertension: a focus group study.

Authors:  Anne K Monroe; Tashi L Rowe; Richard D Moore; Geetanjali Chander
Journal:  BMC Health Serv Res       Date:  2013-11-25       Impact factor: 2.655

  9 in total

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