Dynamic logistic regression model and population attributable fraction to investigate the association between adherence, missed visits and mortality – a study of HIV-infected adults surviving the first year of ART - UTU Research Portal

A1 Refereed original research article in a scientific journal

Dynamic logistic regression model and population attributable fraction to investigate the association between adherence, missed visits and mortality – a study of HIV-infected adults surviving the first year of ART

Subtitle: a study of HIV-infected adults surviving the first year of ART

Authors: Syvia Kiwuwa-Muyingo, Hannu Oja, Ann Sarah Walker, Pauliina Ilmonen, Jonathan Levin, Ivan Mambule, Andrew Reid, Peter Mugyenyi, Jim Todd, Dart Trial Team D

Publisher: BIOMED CENTRAL LTD

Publication year: 2013

Journal: BMC Infectious Diseases

Journal name in source: BMC INFECTIOUS DISEASES

Journal acronym: BMC INFECT DIS

Article number: ARTN 395

Number in series: 1

Volume: 13

Issue: 1

First page : 395

Number of pages: 14

ISSN: 1471-2334

eISSN: 1471-2334

DOI: https://doi.org/10.1186/1471-2334-13-395

Abstract

Conclusions: Recurrent poor adherence determined even through simple measures is associated with high mortality both at individual level as well as at the ART programme level. The number of lives saved through effective interventions to improve adherence could be considerable particularly for individuals monitored without using CD4 cell counts. The findings have important implications for clinical practice and for developing interventions to enhance adherence.