Adherence to and effectiveness of Highly Active Antiretroviral Treatment for HIV infection : assessing the bidirectional relationship
AbstractIt is well-established that high adherence to HAART is a major determinant of virological and immunological success. Furthermore, psycho-social research has identified a wide range of adherence factors. Our objective was to assess the bi-directional relationship between adherence and response to treatment among patients enrolled in the ANRS CO8 APROCOCOPILOTE study. An econometric approach was implemented through a bivariate twoequation simultaneous system, studying the factors associated with both adherence and undetectability of HIV plasma viral load. Our results highlight that good biological results induced by adherence reinforce continued adherence. This strengthens the argument that patients who do not experience rapid improvements in their immunological and clinical statuses after HAART initiation should be prioritized whendeveloping adherence support interventions. Furthermore, it rules out the hypothesis that HAART leads to “false reassurance” among HIV infected patients.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by ESSEC Research Center, ESSEC Business School in its series ESSEC Working Papers with number WP1110.
Length: 33 pages
Date of creation: 01 Jan 2011
Date of revision:
Adherence; HIV; relationship between adherence and effectiveness; simultaneous equations; GEE;
Other versions of this item:
- Karine Lamiraud & Jean-Paul Moatti & François Raffi & Maria Patrizia Carrieri & Camelia Protopopescu & Christian Michelet & Luminita Schneider & Fidéline Collin & Catherine Leport & Bruno Spire, 2011. "Adherence to and effectiveness of Highly Active Antiretroviral Treatment for HIV infection: assessing the bidirectional relationship," Post-Print hal-00660923, HAL.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Guilkey, David K. & Murphy, James L., 1993. "Estimation and testing in the random effects probit model," Journal of Econometrics, Elsevier, vol. 59(3), pages 301-317, October.
- Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984.
"Pseudo Maximum Likelihood Methods: Theory,"
Econometric Society, vol. 52(3), pages 681-700, May.
- Jeffrey M Wooldridge, 2002.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
CeMMAP working papers
CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sophie Magnanou).
If references are entirely missing, you can add them using this form.