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Data Science and Qualitative Research for Decision Support in the HIV Care Cascade

Enrolling By InvitationNA

Sponsor: Brown University

Conditions: Human Immunodeficiency Virus, Treatment Adherence, Treatment Compliance, Patient No Show, Patient Engagement

Interventions: Activation of the CDSS system

Countries: Kenya

The goal of this study is to determine whether clinical prediction algorithms derived using statistical machine learning methods can be used to improve patient outcomes in large HIV care programs in sub-Saharan Africa and elsewhere. There are two main questions to be answered. First, can the prediction algorithms accurately identify those who are at risk for (a) missing scheduled clinic visits and/or (b) treatment failure, evidenced by elevated HIV viral load? And second, can the risk predictions be used in a structured way to (a) improve retention in care and/or (b) reduce the number of patients having elevated viral load? Researchers will develop machine learning prediction algorithms, incorporate the risk prediction information into the electronic health record, provide guidance to clinical health workers on use of the point-of-care interface tools that display risk prediction information, and incorporate feedback from clinic staff to modify and co-develop the protocol for using risk predictions for improving patient outcomes. They will then compare the proportion of patients having missed visits and longer-term loss to follow up, and the proportion with elevated viral load, between clinics that use the information from the risk prediction algorithms and those that do not.

Eligibility overview

Sex: ALL

Age: 18 Years to 100 Years

Healthy volunteers: No

Study type: INTERVENTIONAL

Eligibility criteria

Inclusion Criteria:

* The study will include adult patients (age 18 and over) receiving HIV care through the AMPATH program in Eldoret, Kenya. There is not a patient-level enrollment process. The primary endpoints will be summarized at the clinic level (e.g., proportion of patients who keep an appointment within 7 days of the scheduled appointment).

Exclusion Criteria:

* None

Locations (1)

Eldoret, Kenya