Adherence to and effectiveness of Highly Active Antiretroviral Treatment for HIV infection: assessing the bidirectional relationship
It 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 when developing adherence support interventions. Furthermore, it rules out the hypothesis that HAART leads to "false reassurance" among HIV infected patients.
|Date of creation:||01 Jan 2011|
|Publication status:||Published in ESSEC Working paper. Document de Recherche ESSEC / Centre de recherche de l'ESSEC ISSN : 1291-961.. 2011, pp.35|
|Note:||View the original document on HAL open archive server: https://hal-essec.archives-ouvertes.fr/hal-00660923|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
References listed on IDEAS
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.:
- 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.
- 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.
- 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 A, 1981.
"Pseudo maximum likelihood methods : theory,"
CEPREMAP Working Papers (Couverture Orange)
When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00660923. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.