Characterizing Patterns in Antiretroviral Therapy for Individuals with Human Immunodeficiency Virus (HIV)
- Analytics use case(s): Characterization
- Study type: Clinical Application
- Tags: OHDSI, HIV, Antiretroviral Therapy
- Study lead: Raechel Davis
- Study lead forums tag: redavis
- Study start date: January 2023
- Study end date: -
- Protocol: HIV Treatment Pathway
- Publications: -
- Results explorer: -
The purpose of this study is to characterize and evaluate trends in antiretroviral therapy for individuals who have been diagnosed with Human Immunodeficiency Virus. The analysis package has been developed using the CohortPathways and Characterization tools in ATLAS and will be performed in the ATLAS environment.
- A Database in the Common Data Model (>= Version 5)
- Configured ATLAS Environment with capability to execute CohortPathways and Characterization Tools
Import the following specifications for each analysis into ATLAS by copying and pasting json .txt provided into the Utilities, Import Tab for each analysis:
- Cohort Pathway 1: Single Ingredient Antiretrovirals
- Cohort Pathway 2: Combination Antiretroviral Medications
note: the minimum cell count default is 1
- Characterization: Characterization
Facilitate the analysis under the Execution tab and click 'Generate'
Instructions for sharing the .csv results files with the study coordinator (Raechel):
For the Characterization Results: Click "Export All" button and consolidate downloaded csv files into a zip folder (there should be 6 files produced)
For each Cohort Pathway: Export all of the tabular results and consolidate to a zip folder, this involves going to the tabular results and clicking the "export" button for each set of results produced, approximatey 10 files should be exported per cohort pathway producing a total of around 20 files that should be returned
A secure file transfer protocol will be implemented to facilitate the sharing of the results files as requested by data partners- please reach out to raechel.davis@yale.edu