Journal
ANNALS OF PHARMACOTHERAPY
Volume 41, Issue 2, Pages 208-215Publisher
SAGE PUBLICATIONS INC
DOI: 10.1345/aph.1H383
Keywords
adherence; antiretroviral therapy; compliance; HIV infection; indigent patients; stage of change
Categories
Ask authors/readers for more resources
BACKGROUND: Adherence to antiretroviral therapy (ART) is vital to achieve durable suppression of viral replication. Effective mechanisms to predict adherence can be difficult to implement in clinical practice settings. Self-administered questionnaires are a practical option for assessing patient adherence but may lack validation with objective measures of adherence. OBJECTIVE: To examine the ability of a 2 Rem stage of change (SOC) questionnaire to predict medication adherence in indigent patients receiving ART. METHODS: Patients participating in an ongoing study to examine adherence interventions were administered a 2 item SOC instrument to assess readiness for adherence behavior. The SOC instrument was given to patients prior to beginning ART and readministered after they had received 16 weeks of treatment. Electronic monitoring was used to examine the validity of the SOC instrument to predict patient readiness for adherence behavior. RESULTS: Thirty-one patents completed the SOC questionnaire prior to beginning a new ART regimen. Most (87%) patients were male, had previously received antiretroviral therapy (77%), and had an AIDS diagnosis (77%). The SOC category determined at baseline was a poor predictor of adherence at 4 and 16 weeks; however, the SOC category determined after treatment onset (week 16) was a strong predictor of adherence at both time points (p < 0.001 for 4 and 16 weeks; one way ANOVA). CONCLUSIONS: The SOC category determined at baseline correlated poorly with subsequent medication adherence in our indigent, HIV-infected patient population. Prediction of adherence based on SOC after treatment initiation may provide a better estimate of adherence behavior. Recognition of this limitation may help clinicians more accurately interpret predicted adherence behavior from self-report instruments.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available