How should PREA data support prevention efforts?

• A. By analyzing incidents to identify where to apply discipline to staff.
• B. By analyzing trends, risk factors, and outcomes to tailor training, supervision, and program changes.
• C. By limiting access to data to a few administrators.
• D. By comparing facilities to determine which has the most incidents.

Answer: (B)

Using PREA data to support prevention means turning numbers into targeted action. When you analyze trends, risk factors, and outcomes, you uncover where abuse is more likely, which residents or staff are at higher risk, and which interventions are actually reducing risk. This insight lets you tailor staff training, adjust supervision practices, and modify programs or housing and procedures to reduce opportunities for harm and improve reporting and accountability. Limiting data access to a small group undermines transparency and coordinated prevention efforts. Comparing facilities by incident counts without context can be misleading and doesn’t directly drive prevention. The strongest approach is to use data to inform targeted training, supervision, and program changes that address the specific factors driving incidents.