Triaging Clients at Risk of Disengagement from HIV Care: Application of a Predictive Model to Clinical Trial Data in South Africa.

Journal: Risk management and healthcare policy
Published Date:

Abstract

PURPOSE: To reach South Africa's targets for HIV treatment and viral suppression, retention on antiretroviral therapy (ART) must increase. Here, we aim to successfully identify ART clients at risk of loss from care prior to disengagement.

Authors

  • Mhairi Maskew
    Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Shantelle Parrott
    Palindrome Data, Cape Town, South Africa.
  • Lucien De Voux
    Palindrome Data, Cape Town, South Africa.
  • Kieran Sharpey-Schafer
    Palindrome Data, Cape Town, South Africa.
  • Thomas Crompton
    Right to Care, Strategic Information and Data Science Unit, Johannesburg, South Africa.
  • Ashley Christopher Govender
    Right to Care, Strategic Information and Data Science Unit, Johannesburg, South Africa.
  • Pedro Terrence Pisa
    Right to Care, Strategic Information and Data Science Unit, Johannesburg, South Africa.
  • Sydney Rosen
    Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Keywords

No keywords available for this article.