Andere Kunden interessierten sich auch für
![Prevalence and Determinant Factors of Substance Use among Students]( "Prevalence and Determinant Factors of Substance Use among Students")
Prevalence and Determinant Factors of Substance Use among Students36,99 €![Analyse des déterminants de l¿utilisation des antirétroviraux (ARV)]( "Analyse des déterminants de l¿utilisation des antirétroviraux (ARV)")
Analyse des déterminants de l¿utilisation des antirétroviraux (ARV)39,99 €![Analisi dei determinanti dell'uso di antiretrovirali (ARV)]( "Analisi dei determinanti dell'uso di antiretrovirali (ARV)")
Analisi dei determinanti dell'uso di antiretrovirali (ARV)39,99 €![Analyse der Determinanten des Gebrauchs von antiretroviralen Medikamenten (ARV)]( "Analyse der Determinanten des Gebrauchs von antiretroviralen Medikamenten (ARV)")
Analyse der Determinanten des Gebrauchs von antiretroviralen Medikamenten (ARV)60,90 €![Análise dos determinantes da utilização de anti-retrovirais (ARV)]( "Análise dos determinantes da utilização de anti-retrovirais (ARV)")
Análise dos determinantes da utilização de anti-retrovirais (ARV)39,99 €![Analiz faktorow, opredelqüschih ispol'zowanie antiretrowirusnyh preparatow (ARV)]( "Analiz faktorow, opredelqüschih ispol'zowanie antiretrowirusnyh preparatow (ARV)")
Analiz faktorow, opredelqüschih ispol'zowanie antiretrowirusnyh preparatow (ARV)16,99 €![The Social Determinants of Health]( "The Social Determinants of Health")
The Social Determinants of Health79,99 €
The present study focused on the case of two health regions in Côte d'Ivoire. In order to identify the significant determinants of ARV use among these patients, we first presented the sociodemographic, clinical and medical characteristics of the patients. We then established the correspondences between ARV status, adherence status and the above characteristics before drawing up a typology of patients. Finally, a double modelling of the determinants of ARV status and adherence status was performed using, respectively, a multinomial LOGIT model and a binary LOGIT model. The results of the implementation of these tools show that according to the category of ARV status, the significant determinants are, among others, the medical activity of the patient, the nature of the site, the presence of NGOs at the site, the region where the visit is made, the clinical stage, the STI/IoT history, the weight of the patient and the point of entry for care.