Child-Parent Agreement in the Assessment of Health-Related Quality of Life Using the CHU9D and the PedsQLTM

Intradyadic Correlation Between Parent-reported and Child-reported Quality of Life in Patients With Anorectal Malformation and Hirschsprung's Disease in Comparison to Healthy Controls

BACKGROUND

Quality of life (QOL) is an important clinical endpoint in paediatric chronic conditions. How parent-proxy reports differ from child self-reported QOL in patients with anorectal malformation (ARM) and Hirschsprung's disease (HD) has not been well examined to date. This study evaluates agreement between parent-proxy and child-reported QOL scores in ARM and HD patients compared to healthy controls.

METHODS

We recruited ARM and HD patients aged 5-17 years and their parents at four tertiary referral centres between December 2020 to February 2023 who had corrective surgery done >12 months prior. Healthy controls were age-matched and gender-matched. They completed the Pediatric Quality of Life Inventory™ (PedsQL™) Generic Core Scales and General Well-Being (GWB) Scale. The questionnaires were administered in parallel parent-proxy-report and child self-report formats. Appropriate statistical analysis was performed with p < 0.05 significance. Data are reported as median (interquartile range). Ethical approval was obtained.

RESULTS

There were 65 ARM, 54 HD and 83 controls. There were no significant differences between parent-reported scores and child-reported scores overall in the Total, Psychosocial Health and Physical Health components of Core Scales for ARM, HD and controls. However, parent-reported scores were significantly higher than child-reported scores overall in ARM, HD and controls in the GWB Scale.

CONCLUSION

Our findings show that parent-rated and child-rated overall QOL was similar in Core Scales for ARM, HD, and controls. However, parents overestimated child's overall GWB for ARM, HD and controls. This highlights the importance of capturing the perspectives of both parents and children to inform strategies to improve patient care.

LEVEL OF EVIDENCE

Level III.

Key factors that influence quality of life in patients with IgE-mediated food allergy vary by age

BACKGROUND

While food allergy (FA) can be fatal, the greatest public health impact of FA arguably lies in its detrimental effect on quality of life (FAQOL). Understanding the factors that contribute to FAQOL at different ages is essential to develop personalized interventions that will improve FAQOL.

OBJECTIVE

To determine the most influential factors that impact FAQOL across ages in well-phenotyped participants with confirmed FA.

METHODS

One hundred and twenty-five individuals aged 2-28 years with IgE-mediated FA completed validated age-specific FAQOL questionnaires. The relationship between demographic/clinical variables and scores were analyzed to identify key predictors of FAQOL.

RESULTS

Poor FAQOL was associated with increasing age, strict avoidance practices, reactions to trace exposures, and more severe reactions as assessed by epinephrine use, anaphylaxis, and/or treatment in the emergency department; FAQOL improved with time from the event. FAQOL was worse in subjects avoiding >2 versus ≤2 foods and in those avoiding milk, egg, soy, sesame, or wheat. Number of foods avoided had greatest impact on children ages 2-7 years, while total number of allergic reactions strongly impacted FAQOL in teens and adults; FAQOL of subjects ages 8-12 years appeared less affected by these variables compared to other age groups. A decision tree analysis identified key predictors of overall FAQOL (age, number of food avoidances, and time since epinephrine use) that can be used to guide intervention strategies to improve FAQOL.

CONCLUSION

We directly compared FAQOL in extensively phenotyped children, teenagers, and adults with confirmed IgE-mediated FA. Age; timing, number, and severity of reactions; type and number of FA; and food avoidance practices influence FAQOL and should guide intervention strategies.

An Investigation of Inter-Rater and Intra-Proxy Agreement in Measuring Quality of Life of Children in the Community Using the EQ-5D-Y-3L

BACKGROUND

Self-reporting of health-related quality of life (HRQoL) in children is not always feasible. To date, proxy perspectives (Proxy versions 1 and 2) using the EQ-5D-Y-3L have not been explored for its impact on agreement with child self-report. Proxy version 1 requires the proxy to consider their own view of the child's HRQoL (proxy-proxy), while with Proxy version 2, the proxy is asked to respond as they believe their child would self-report their HRQoL (proxy-child). This study compared the inter-rater and intra-proxy agreement (overall and dimension level) using the EQ-5D-Y-3L self, proxy-proxy, and proxy-child reports.

METHODS

A community-based sample of child (aged 6-12 years) and parent dyads were invited to participate in a semi-structured interview. The child self-completed the EQ-5D-Y-3L independently of the parent who completed the EQ-5D-Y-3L from proxy-proxy and proxy-child perspectives. Agreement was determined using Concordance Correlation Coefficients (CCCs) for the overall (preference-weighted) HRQoL, while agreement at the dimension level was evaluated using Gwet's agreement coefficient (AC1). To assess the differences between the self and the two proxy reports, the Wilcoxon matched-pair signed-rank test was used.

RESULTS

This study involved 85 child-parent dyads. The agreement between self and proxy overall HRQoL was low (fair) with both proxy-proxy (CCC = 0.28) and proxy-child (CCC = 0.26) reports. The largest discrepancy in the child-proxy agreement at dimension level with both the proxy versions was observed for 'feeling worried, sad or unhappy'. Within this dimension, the proxy-child perspective resulted in a stronger agreement (AC1 = 0.7, good) with child self-report compared with the traditional proxy-proxy perspective (AC1 = 0.58, moderate). Although the preference-weighted HRQoL was consistent across both the proxy perspectives, a significant difference was observed in the EQ VAS scores (p = 0.02).

CONCLUSIONS

This study demonstrates that choice of proxy perspective may have an impact on the problems reported on HRQoL dimensions and EQ VAS scores. However, in this community-based sample of generally healthy children, no significant difference was observed in the inter-rater agreement for child-self and proxy preference-weighted EQ-5D-Y-3L values based on proxy perspectives. While this suggests that preference-weighted data are not sensitive to the choice of perspective, these findings may differ for different HRQoL instruments and for alternative value sets with different properties.