A High Intensity Electronic Health Intervention for the Reduction of Learning Disparities in Childhood Cancer Survivors

Assessed by WIAT reading and math scores, grades from school report cards, IXL diagnostic scores in math and English language arts (high intensity program e-health group only). The GEE will also be used to compare the effects of high intensity program e-Health intervention and low intensity program on this outcome. Non-normally distributed measurements will be transformed to achieve normality. If this is not possible, they will be dichotomized, and GEE for binary outcomes will be used for analysis. Potential modification of the treatment effect by covariates (e.g., child's age, parent's language, sex/gender, race/ethnicity, time since diagnosis) will be explored by including the two-way interaction of treatment by covariate. Will also perform subgroup analysis by estimating the within-subgroup intervention effects and constructing the 95% confidence intervals in groups defined by the covariates, e.g. sex/gender (men, women) and language (English, Spanish).

Assessed with Conners Parent Report Attention and Hyperactivity subscales. The GEE will also be used to compare the effects of high intensity program e-Health intervention and low intensity program on this outcome. Non-normally distributed measurements will be transformed to achieve normality. If this is not possible, they will be dichotomized, and GEE for binary outcomes will be used for analysis. Potential modification of the treatment effect by covariates (e.g., child's age, parent's language, sex/gender, race/ethnicity, time since diagnosis) will be explored by including the two-way interaction of treatment by covariate. Will also perform subgroup analysis by estimating the within-subgroup intervention effects and constructing the 95% confidence intervals in groups defined by the covariates, e.g. sex/gender (men, women) and language (English, Spanish).

Assessed by Pediatric Quality of Life Inventory Psychosocial Functioning: School, Emotional, Social domains. The GEE will also be used to compare the effects of high intensity program e-Health intervention and low intensity program on this outcome. Non-normally distributed measurements will be transformed to achieve normality. If this is not possible, they will be dichotomized, and GEE for binary outcomes will be used for analysis. Potential modification of the treatment effect by covariates (e.g., child's age, parent's language, sex/gender, race/ethnicity, time since diagnosis) will be explored by including the two-way interaction of treatment by covariate. Will also perform subgroup analysis by estimating the within-subgroup intervention effects and constructing the 95% confidence intervals in groups defined by the covariates, e.g. sex/gender (men, women) and language (English, Spanish).

Assessed with School Motivation and Learning Strategies Inventory study strategies subscale, student self-regulatory strategy use scale. The GEE will also be used to compare the effects of high intensity program e-Health intervention and low intensity program on this outcome. Non-normally distributed measurements will be transformed to achieve normality. If this is not possible, they will be dichotomized, and GEE for binary outcomes will be used for analysis. Potential modification of the treatment effect by covariates (e.g., child's age, parent's language, sex/gender, race/ethnicity, time since diagnosis) will be explored by including the two-way interaction of treatment by covariate. Will also perform subgroup analysis by estimating the within-subgroup intervention effects and constructing the 95% confidence intervals in groups defined by the covariates, e.g. sex/gender (men, women) and language (English, Spanish).

Student Intrinsic Motivation to Learn Questionnaire measuring motivation for academic learning

.Student Academic Self-efficacy measures self-confidence

Assessed with Parent Beliefs and Behaviors Questionnaire (PBQ-R3) knowledge scale. GEE models using one indicator variable of time will be used to examine the efficacy of the high intensity program eHealth intervention compared to low intensity program on these scores, adjusting for baseline measurements and study site, and accounting for within-site and within-individual correlations. Other parent-related covariates that are imbalanced at baseline will be included in the model. The efficacy of the intervention will be assessed by testing the significance of the interaction of treatment-by-time indicator.

Assessed with PBQ-R3 parenting behaviors scale, and weekly time spent with the child in pro-learning behaviors and activities. GEE models using one indicator variable of time will be used to examine the efficacy of the high intensity program eHealth intervention compared to low intensity program on these scores, adjusting for baseline measurements and study site, and accounting for within-site and within-individual correlations. Other parent-related covariates that are imbalanced at baseline will be included in the model. The efficacy of the intervention will be assessed by testing the significance of the interaction of treatment-by-time indicator.

Assessed with PBQ-R3 efficacy scale. GEE models using one indicator variable of time will be used to examine the efficacy of the high intensity program eHealth intervention compared to low intensity program on these scores, adjusting for baseline measurements and study site, and accounting for within-site and within-individual correlations. Other parent-related covariates that are imbalanced at baseline will be included in the model. The efficacy of the intervention will be assessed by testing the significance of the interaction of treatment-by-time indicator.