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Updated: Jul 31, 2025

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
Published on: September 19, 2019
Parent-youth convergence (and divergence) in reports about pediatric quality of life
Rhonda C Boyd1,2, Jason D Jones3,4, Bridget A Makol5
1Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA. rboyd@pennmedicine.upenn.edu.
Purpose:
Researchers and service providers typically assess pediatric Health-Related Quality of Life (HRQOL) by collecting independent reports from parents and youth. An emerging body of work indicates that patterns of parent-youth reports yield information germane to understanding youth outcomes. We identified patterns of HRQOL among youth and their parents seeking mental health treatment and examined links between agreement patterns and mental and physical health functioning.
Methods:
Participants included 227 youth (mean age = 14.40 years, SD = 2.42; 63% female) and parent dyads presenting at a mood disorders clinic between 2013 and 2020. We assessed HRQOL using parallel youth and parent forms of the Pediatric Quality of Life Inventory Generic Core Scales. We also assessed youth clinical correlates of depression, suicidal ideation, and impairment, as well as health information via electronic health record (e.g., psychotropic medication usage, BMI).
Results:
Latent class analysis showed three parent-youth reporting patterns: Low-Low (LL), High-High (HH), and Parent Low-Youth High (PL-YH). Relative to youth in the HH group, youth in the LL and PL-YH groups reported significantly greater depressive symptoms and had higher rates of suicidal ideation and psychotropic medication use. In addition, youth in the LL group reported significantly greater levels of impairment.
Conclusions:
Parent-youth patterns of HRQOL reporting can reveal clinically meaningful information and indicate poorer functioning for certain groups (LL, PL-YH) of youth. These findings have implications for improving accuracy of risk assessments that leverage HRQOL data.
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