Related Experiment Videos
The PedsQL Family Impact Module: preliminary reliability and validity
James W Varni1, Sandra A Sherman, Tasha M Burwinkle
1Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, 3137 TAMU, College Station, TX 77843-3137, USA. jvarni@archone.tamu.edu
Insights
The PedsQL Family Impact Module shows preliminary reliability for assessing health-related quality of life in families with chronically ill children. This tool measures parent and family functioning, distinguishing between home and hospital settings.
Area of Science:
- Pediatric health outcomes research
- Family impact assessment
- Quality of life measurement
Background:
- The PedsQL Measurement Model assesses health-related quality of life (HRQOL) in children and adolescents.
- The PedsQL Family Impact Module (FIM) was developed to evaluate the impact of pediatric chronic conditions on parents and families.
- The FIM assesses parent-reported functioning, communication, worry, daily activities, and family relationships.
Purpose of the Study:
- To establish the preliminary reliability and validity of the PedsQL Family Impact Module.
- To assess the impact of pediatric chronic health conditions on parent and family functioning.
- To evaluate the PedsQL FIM's ability to differentiate between family care settings.
Main Methods:
- The 36-item PedsQL Family Impact Module was administered to 23 families.
- Families included those with medically fragile children in long-term care or residing at home.
- Data analysis focused on internal consistency reliability and group differentiation.
Main Results:
- High internal consistency reliability was demonstrated for the Total Scale Score (α = 0.97) and summary scores (Parent HRQOL α = 0.96, Family Functioning α = 0.90).
- Module scales showed good reliability (average α = 0.90, range = 0.82–0.97).
- The PedsQL FIM successfully distinguished between families with children in long-term care versus those at home.
Conclusions:
- The PedsQL Family Impact Module demonstrates preliminary reliability and validity for families with children facing complex chronic health conditions.
- Further field testing is planned to confirm measurement properties across diverse pediatric chronic conditions.
- The PedsQL FIM is a promising tool for understanding family-centered outcomes in pediatric chronic illness.
Background:
The PedsQL Measurement Model was designed to measure health-related quality of life (HRQOL) in children and adolescents. The PedsQL 4.0 Generic Core Scales were developed to be integrated with the PedsQL Disease-Specific Modules. The newly developed PedsQL Family Impact Module was designed to measure the impact of pediatric chronic health conditions on parents and the family. The PedsQL Family Impact Module measures parent self-reported physical, emotional, social, and cognitive functioning, communication, and worry. The Module also measures parent-reported family daily activities and family relationships.
Methods:
The 36-item PedsQL Family Impact Module was administered to 23 families of medically fragile children with complex chronic health conditions who either resided in a long-term care convalescent hospital or resided at home with their families.
Results:
Internal consistency reliability was demonstrated for the PedsQL Family Impact Module Total Scale Score (alpha = 0.97), Parent HRQOL Summary Score (alpha = 0.96), Family Functioning Summary Score (alpha = 0.90), and Module Scales (average alpha = 0.90, range = 0.82 - 0.97). The PedsQL Family Impact Module distinguished between families with children in a long-term care facility and families whose children resided at home.
Conclusions:
The results demonstrate the preliminary reliability and validity of the PedsQL Family Impact Module in families with children with complex chronic health conditions. The PedsQL Family Impact Module will be further field tested to determine the measurement properties of this new instrument with other pediatric chronic health conditions.
Related Concept Videos
Reliability and Validity
Pedigree Analysis