Global Health Research Seminar Series—Applying Machine Learning to Routine HIV Patient Data to Predict Missed Clinic Visits: The PREDICT Study

1:00 pm on Monday, March 1, 2021
2:00 pm on Monday, March 1, 2021
Speaker: Dr. Mhairi Maskew. BIO: Dr. Mhairi Maskew is a medical doctor in South Africa with clinical expertise in treating HIV patients and additional specific training and a decade’s expertise in epidemiology and biostatistics. As part of her training in community health centers and subsequent experience managing HIV-infected patients, she has firsthand experience of the challenges of accessing and retaining people living with HIV in care as well as the importance of achieving and sustaining viral suppression. Her prior work has examined the reasons for attrition from care and also highlighted the challenges treatment programs face in achieving optimal clinical outcomes among several key populations, including adolescents and pregnant women. Since then, she has led three clinical trials evaluating same-day initiation of ART, work that contributed evidence towards the development of the universal test and treat (UTT) approach to HIV care. In collaboration with BU and colleagues at the National Health Laboratory Service (NHLS) in South Africa, she worked to develop a novel national HIV cohort in South Africa utilizing only laboratory test results and evaluate aspects of the treatment program. Using these data, Dr. Maskew and colleagues have demonstrated the impact of a variety of interventions, new guidelines and policy changes on treatment outcomes after initiating ART. Her current projects include R01 award to create a pregnancy cohort nested within the NHLS National HIV Cohort.