Defining the Minimal Long-Term Follow-Up Data Elements for Newborn Screening.

Area of Science:

• Public Health
• Genetics
• Pediatrics

Background:

• Newborn screening (NBS) is a successful public health initiative.
• Limited data exists on long-term outcomes for infants with positive NBS results.
• Challenges include consistent, reliable, and low-effort long-term follow-up (LTFU) data collection.

Purpose of the Study:

• To develop and test a core set of minimal LTFU data elements for NBS programs.
• To establish a standardized method for gathering essential long-term outcome data.
• To assess the feasibility and utility of these data elements across diverse programs.

Main Methods:

• Six NBS programs collaborated to define minimal LTFU data elements.
• An iterative data collection process and tool development were employed.
• Data included infant survival, specialist contact, and diagnosis-specific care within one year.

Main Results:

• In 2022, 83.8% of infants with NBS diagnoses were alive and within the jurisdiction.
• Of those alive, 92.0% had contact with a specialist.
• 87.7% received appropriate care specific to their diagnosis.

Conclusions:

• A core set of minimal LTFU data elements was successfully established.
• These elements provide a foundation for evaluating the impact of early NBS diagnosis.
• The approach is applicable across different jurisdictions and NBS programs.