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J Acquir Immune Defic Syndr ; 67(4): e123-30, 2014 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-25162815

RESUMO

BACKGROUND: With improved access to antiretroviral therapy in resource-constrained settings, long-term retention in HIV clinics has become an important means of reducing costs and improving outcomes. Published data on retention in HIV clinics beyond 24 months are, however, limited. In our clinic in rural Haiti, we hypothesized that individuals residing in locations with higher transportation costs to clinic would have poorer retention than those who had lower costs. METHODS: We used a retrospective cohort design to evaluate potential predictors of HIV clinic retention. Patient information was abstracted from the electronic medical records. Cox proportional hazards regression was used to identify independent predictors of 4-year clinic retention. RESULTS: There were 410 patients in our cohort, 266 (64.9%) females and 144 (35.1%) males. Forty-five (11%) patients lived in locations with transportation costs >$2. Males were 1.5 times more likely to live in municipalities with transportation costs to clinic of >$2. Multivariate analysis suggested that age <30 years, male gender, and transportation cost were independent predictors of loss to follow-up (LTFU): risk ratio of 2.98, 95% confidence interval (CI): 1.73 to 4.96, P < 0.001; 1.71, CI: 1.08 to 2.70, P = 0.02; and 1.91, CI: 1.08 to 3.36, P = 0.02, respectively. CONCLUSIONS: Patients with transportation costs greater than $2 were 1.9 times more likely to be lost to care compared with those who paid less for transportation. HIV treatment programs in resource-constrained settings may need to pay closer attention to issues related to transportation cost to improve patient retention.


Assuntos
Custos e Análise de Custo/estatística & dados numéricos , Infecções por HIV/tratamento farmacológico , Adesão à Medicação/estatística & dados numéricos , Meios de Transporte/economia , Adolescente , Adulto , Feminino , Haiti/epidemiologia , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , População Rural/estatística & dados numéricos , Meios de Transporte/estatística & dados numéricos , Adulto Jovem
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