Southern African Journal of HIV Medicine Vol 17 (2016) Activity 4

: 2 credits
Expiry Date
: 31/12/2019
CPD Units
: 2.00 Points
: 3/4

The objective of this study was to evaluate the use of computational models that predict response to therapy without a genotype as a potential treatment support tool when selecting drug regimens in HIV-positive patients.

Keywords: Phidisa; South Africa; computational models; HIV

Reading material:

Educational Objectives

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. The use of computational models which assist in the selection of effective drug regimens in HIV-positive individuals.
  2. The effectiveness of computational models that do not require a genotype in identifying drug regimens that may give the highest probability of response.
  3. The potential utility that computational models may have in South Africa and other resource-limited settings.

Instruction for this Module

  • Read the supplied reading material and complete the quiz at the end
  • You need to pass the quiz and complete the course rating to generate the module certificate at the end
  • You have three attempts to pass the quiz
  • The pass grade is 70%
  • Please click on the CPD certificate link to claim your certificate and to update your CPD Manager

Contact us for enrolment enquiries

RSA TEL: 086 1000 381 | Int. Tel: 021 975 2602