Cross-border healthcare and prognosis of HIV infection in the triple border Brazil-Paraguay-Argentina

• Autor(a) principal: Ricardo Zaslavsky
• Data de Publicação: 2019
• Outros Autores: Barbara Niegia Garcia de Goulart, Patricia Klarmann Ziegelmann
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Cadernos de Saúde Pública
• Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6883
• topic: HIV; Prognosis; Border Areas; Border Health

The act of crossing an international border for healthcare is a reality in border areas and the flow is in the direction of the city with more human and healthcare resources. Although several prognostic factors related to HIV+ patients are known, the prognostic value of this type of mobility for long term care is still neglected. This study compares the prognosis of HIV patients from three groups, one involved in regional mobility, another in cross-border mobility in search for healthcare and the reference group which is composed by patients living in the same city of the health facility. This is a retrospective cohort study using medical records from a healthcare service in Brazil. Following survival analysis with log-rank test and Cox proportional hazard models, overall survival had no significant difference between patients who were involved in regional (HR = 1.03; 95%CI: 0.69-1.54; p = 0.89) or international (HR = 1.07; 95%CI: 0.58-1.97; p = 0.83) mobility and those who were not. This lack of difference was kept when adjusted for known prognostic factors. In this retrospective cohort study, exposure to both regional and international migration did not have a significant association with the risk of death by any cause in crude or adjusted analyses for already known prognostic factors. This is the first study to consider the prognostic role of cross-border healthcare for HIV patients. Despite these findings, the need of monitoring the extent and the clinical and demographic characteristics of healthcare demand originated in the other side of the border and the use of these data for decision making in health management is emphasized.