The role of an extended Self-Regulatory Model in predicting adherence to Highly Active Anti-Retroviral Therapy (HAART) among adults with HIV-infection

  • Vanessa Lee Cooper

Student thesis: Doctoral Thesis

Abstract

The success of Highly Active Anti-Retroviral Therapy (HAART) requires a high rate of adherence to a complex regimen. Even small variations in adherence compromise treatment efficacy and can lead to viral resistance. Low levels of adherence to HAART continue to pose a major barrier to the success of these treatments. Studies investigating adherence to HAART have focused on practical barriers, yet studies in other illness groups suggest that patients' perceptions of their illness and treatment have a strong influence. This thesis is concerned with furthering our understanding of non-adherence to HAART. It begins with a review of HIV and its treatment. A critical review of the literature was conducted using systematic techniques. This identifies outstanding questions relating to the antecedents of adherence to HAART. The aim of this investigation was primarily to test the Self-Regulatory Model (SRM) and extensions to it to incorporate treatment perceptions (perceptions of personal necessity for HAART and concerns about adverse effects) in predicting adherence to HAART.
Date of AwardJul 2004
LanguageEnglish
Awarding Institution
  • University of Brighton

Cite this

The role of an extended Self-Regulatory Model in predicting adherence to Highly Active Anti-Retroviral Therapy (HAART) among adults with HIV-infection
Cooper, V. L. (Author). Jul 2004

Student thesis: Doctoral Thesis