Brief Report: Rethinking Data Collection for HIV Prevention Trials

Area of Science:

• Public Health
• Clinical Trials
• Epidemiology

Background:

• Large-scale randomized controlled trials (RCTs) are increasingly common in HIV prevention research.
• The primary objective in these trials is typically to assess treatment effects on biological outcomes, such as HIV infection.
• However, a significant amount of self-reported outcome data is often collected but remains unused.

Purpose of the Study:

• To investigate the prevalence and extent of unused self-reported outcomes in HIV prevention randomized controlled trials.
• To highlight the data management and analysis challenges associated with collecting superfluous self-reported data.

Main Methods:

• Analysis of data from the EXPLORE study, a large-scale randomized controlled trial in HIV prevention.
• Examination of collected outcome variables, distinguishing between primary biological endpoints and secondary self-reported measures.
• Quantification of unused self-reported data within the study dataset.

Main Results:

• The EXPLORE study exemplifies a common issue where numerous self-reported outcomes are collected but not utilized in the primary analysis.
• A substantial proportion of collected data pertains to self-reported measures, posing challenges for efficient data analysis and interpretation.
• This highlights potential inefficiencies in study design and data collection protocols.

Conclusions:

• There is a need to critically evaluate the necessity of collecting all self-reported outcomes in HIV prevention RCTs.
• Optimizing data collection strategies can improve research efficiency and resource allocation in HIV prevention studies.
• Future trial designs should prioritize essential outcome measures to avoid data redundancy and enhance analytical power.