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 Tutkimustietojärjestelmä

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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

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

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

Kustantaja: BIOMED CENTRAL LTD

Julkaisuvuosi: 2013

Journal: BMC Infectious Diseases

Tietokannassa oleva lehden nimi: BMC INFECTIOUS DISEASES

Lehden akronyymi: BMC INFECT DIS

Artikkelin numero: ARTN 395

Numero sarjassa: 1

Vuosikerta: 13

Numero: 1

Aloitussivu: 395

Sivujen määrä: 14

ISSN: 1471-2334

eISSN: 1471-2334

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

Tiivistelmä

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.