The Technology Dependence Index (TDI): Development and Validation in Neonatal and Pediatric Populations

Area of Science:

• Pediatric Healthcare
• Medical Technology Assessment
• Complex Care Management

Background:

• Increasing survival rates for infants and children with complex medical conditions necessitate better tools for assessing caregiving needs.
• Existing measures often focus on mortality risk, neglecting the significant burden of ongoing technological support.
• There is a need for a standardized metric to quantify technology dependence in pediatric populations.

Purpose of the Study:

• To introduce and validate the Technology Dependence Index (TDI) as a measure of technology dependence in neonatal and pediatric care.
• To capture the complexity and intensity of skilled health-related caregiving required for physiological functioning.
• To provide a tool that goes beyond the presence of individual devices.

Main Methods:

• Development and initial validation of the Technology Dependence Index (TDI).
• Pooled data analysis from six studies involving 265 infants (818 TDI observations).
• Assessment of inter-rater reliability (κ=0.61, ICC=0.90-0.99) and internal structure via principal components analysis.

Main Results:

• The TDI demonstrated moderate inter-rater reliability, with high agreement in most of its 12 domains.
• Principal components analysis supported a multidimensional structure with 12 domains loading onto three factors.
• The medication domain showed the lowest inter-rater reliability (45%-48%).

Conclusions:

• The Technology Dependence Index (TDI) is a validated, standardized measure for quantifying technology dependence in pediatric care.
• The TDI is adaptable for retrospective (chart review), prospective (real-time), or parent-reported use.
• This index can be utilized by researchers and clinicians to better understand and manage the complexity of care for technology-dependent children.