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Data Architecture to Support Real-Time Data Analytics for the Population-Based HIV Impact Assessments.

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Summary

Electronic data capture in HIV impact assessments (PHIAs) enabled secure, real-time data use. This system facilitated rapid dissemination of results to guide HIV epidemic control efforts globally.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Population-based HIV Impact Assessments (PHIAs) are crucial for monitoring HIV.
  • Effective data management is essential for timely and accurate assessment results.
  • Electronic data capture offers a solution for managing large-scale public health survey data.

Purpose of the Study:

  • To describe the data architectures and processes used in 14 national PHIA surveys.
  • To evaluate the data volume, quality, and timeliness achieved through electronic data capture.
  • To assess the utility of the data architecture for guiding HIV epidemic control.

Main Methods:

  • PHIAs utilized electronic data capture via tablets and testing instruments.
  • Data were collected using a mix of open-source, vendor, and custom software.
  • Secure data warehousing and automated processing were implemented for daily/weekly uploads.

Main Results:

  • 14 data architectures were established, processing data from over 450,000 participants across 13 countries.
  • High data quality was achieved, with minimal need for data cleaning (98.5% household, 99.2% individual questionnaires).
  • Over 25,600 viral load results were returned to clinics, and automated processing enabled timely reporting.

Conclusions:

  • The PHIA data architecture enabled secure, simultaneous collection and transmission of high-quality data.
  • The system facilitated rapid turnaround of laboratory results and dissemination of survey outcomes.
  • This approach effectively supports HIV epidemic control initiatives by providing timely, high-quality data.