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J Antimicrob Chemother ; 68(6): 1388-99, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23391713

ABSTRACT

OBJECTIVES: Many people living with HIV/AIDS in resource-limited settings begin antiretroviral therapy (ART) at low CD4 counts. Here, we investigated the simultaneous effect of individual-, facility- and regional-level factors on late ART initiation. METHODS: We conducted a survey in a nationally representative sample of 55 HIV treatment facilities in Cameroon. Medical records of 4935 patients >15 years of age who initiated ART in the month of October during the period 2007-10 were reviewed to gather individual characteristics. Late ART initiation was defined as CD4 count ≤ 100 cells/mm(3). Facility- and regional-level characteristics were also collected. Two-level regression logistic models were used to identify factors associated with late ART initiation. RESULTS: Late ART initiation was associated with being a male younger than 45 years versus female younger than 45 years [adjusted OR (AOR) = 1.5, 95% CI: 1.3-1.7] and initiating ART in the period 2007-09 versus 2010 (AOR = 1.2, 95% CI: 1.0-1.4). Late initiation was more likely in central than in district hospitals (AOR = 1.3, 95% CI: 1.1-1.6) and in hospitals without a mother-to-child transmission programme (AOR = 1.9, 95% CI: 1.3-2.8). Living in a region with a higher comprehensive knowledge of HIV/AIDS was associated with not initiating ART late (AOR = 0.8, 95% CI: 0.6-1.0). CONCLUSIONS: This study shows that risk factors associated with late ART initiation operate at multiple levels and that multilevel interventions are therefore necessary to promote earlier HIV testing and treatment.


Subject(s)
Anti-HIV Agents/therapeutic use , Antiretroviral Therapy, Highly Active/statistics & numerical data , HIV Infections/drug therapy , Adolescent , Adult , Age Factors , CD4 Lymphocyte Count , Cameroon/epidemiology , Female , Geography , HIV Infections/epidemiology , HIV Infections/virology , Health Care Surveys , Health Facilities/statistics & numerical data , Health Knowledge, Attitudes, Practice , Humans , Logistic Models , Male , Middle Aged , Multilevel Analysis , Prevalence , Risk Factors , Rural Population , Sex Factors , Urban Population , Workforce , Young Adult
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