Measuring child functioning: Assessing correlation and agreement between caregiver and child responses at the Iganga-Mayuge health and demographic surveillance site in Uganda

Agreement of the 12-item World Health Organization Disability Assessment Schedule (WHODAS) 2.0 in parents and youth with physical illness living in Canada

PURPOSE

This study modelled the factor structure and tested for measurement invariance between youth and parent reports on the 12-item World Health Organization Disability Assessment Schedule (WHODAS) 2.0; estimated agreement between informants; and, examined moderators of youth-parent discrepancies.

MATERIALS AND METHODS

Data come from the baseline wave of the Multimorbidity in Youth across the Life-course study (n = 117). Multiple-group confirmatory factor analysis was used to test for measurement invariance and Wilcoxon signed-rank tests compared informant scores. Intraclass correlation coefficient (ICC) and Bland-Altman limits of agreement plots were used to examine the youth-parent agreement.

RESULTS

The WHODAS 2.0 demonstrated measurement invariance [χ2 = 221.8(136), p < 0.01; RMSEA = 0.073 (0.055, 0.091); CFI = 0.962; and, SRMR = 0.078]. Youth typically reported more disability compared to parent proxies, with the exception of item Q5 (emotional). The agreement was low (ICC = 0.08-0.53). Youth sex moderated informant agreement such that more consistent agreement was seen for female youth (β = 0.54, p < .01) compared to male youth (β = 0.11, p = .29).

CONCLUSIONS

Youth and their parents interpret the construct of disability, as measured by the 12-item WHODAS 2.0, similarly. Thus, informant differences represent real differences that are not a consequence of error. Low parent-youth agreement reinforces the need for collecting multiple perspectives in the pediatric setting, especially for male youth.Implications for rehabilitationThe WHODAS 2.0 is one of the most widely used measures of disability and functioning.Measurement invariance of the WHODAS 2.0 suggests that youth and parents interpret the construct of disability similarly.Parent-youth agreement was low and youth typically report more disability compared to parent proxies.More consistent agreement with parents was found for female youth compared to male youth.

Understanding child disability: Factors associated with child disability at the Iganga-Mayuge Health and Demographic Surveillance Site in Uganda

Introduction

There is scarcity of data on children with disabilities living in low-and-middle-income countries, including Uganda. This study describes disability prevalence and explores factors associated with different disability categories. It highlights the value of using a standardized, easy-to-use tool to determine disability in children and contextualizing disability in children in light of their developmental needs.

Methods

A cross-sectional study was conducted between September 2018–January 2019 at the Iganga-Mayuge Health and Demographic Surveillance Site in Uganda. Respondents were caregivers of children between 5–17 years and were administered an in-depth Child Functioning Module (CFM). The outcome variable, disability, was defined as an ordered categorical variable with three categories–mild, moderate, and severe. Generalized ordered logit model was applied to explore factors associated with disability categories.

Results

Out of 1,842 caregivers approached for the study, 1,439 (response: 78.1%) agreed to participate in the study. Out of these 1,439, some level of disability was reported by 67.89% (n = 977) of caregivers. Of these 977 children with disability, 48.01% (n = 692) had mild disability and 15.84% (n = 228) had moderate disability, while 3.96% (n = 57) had severe disability. The mean (SD) score for mild disability was 2.22±1.17, with a median of 2. The mean and median for moderate disability was 5.26±3.28 and 4 (IQR:3–6), and for severe disability was 14.23±9.51 and 12 (IQR:6–22). The most common disabilities reported were depression (54.83%) and anxiety (50.87%). Statistically significant association was found for completion of immunization status and school enrollment when controlled for a child’s age, sex, having a primary caregiver, age of mother at child’s birth, family system, family size and household wealth quintile.

Conclusion

This study suggests association between incomplete immunization status and school enrollment for children with disability. These are areas for further exploration to ensure inclusive health and inclusive education of children with disabilities in Uganda.