Skip to main content
OpenTrials
Active, Not Recruiting

NCT Number: NCT05428176

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

This clinical trial evaluates a high intensity electronic health (eHealth) intervention program for reducing learning disparities in children with cancer. Most children with leukemia and lymphoblastic lymphoma can be cured due to advancements in diagnosis and treatment. However, because treatments for these conditions target the central nervous system, these children are at increased risk for developing neurocognitive late effects (problems with attention, thinking, learning, and remembering). Fortunately, many survivors do well, but some children continue to struggle with learning and have academic difficulties after their cancer treatments. The purpose of this research study is to see whether providing parents with educational knowledge and parenting tips using videoconferencing and a special website better helps their cancer survivor child in learning and school achievement compared to typical services.

Active, Not Recruiting

This study is active but is not currently recruiting participants.

Notify Me

Key information

Conditions

Acute Leukemia Acute Lymphoblastic Leukemia Acute Myeloid Leukemia Hematologic Diseases Hemic and Lymphatic Diseases Immune System Diseases Immunoproliferative Disorders Leukemia Leukemia, Lymphoid Leukemia, Myeloid Leukemia, Myeloid, Acute Lymphatic Diseases Lymphoblastic Lymphoma Lymphoproliferative Disorders Neoplasms Neoplasms by Histologic Type Precursor Cell Lymphoblastic Leukemia-Lymphoma

Age range

6 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

City of Hope Medical Center, Duarte, California, United States

Loading trial locations.

About this study

PRIMARY OBJECTIVE:

I. Determine the effectiveness of high intensity program (HIP)-eHealth on pediatric cancer survivors' learning and school-related outcomes up to 12 months post-enrollment.

SECONDARY OBJECTIVES:

I. Determine the effectiveness of HIP-eHealth on parental efficacy up to 12 months post-enrollment.

II. Examine the extent to which parents' self-reported efficacy and/or children's use of online learning activities correlates with the children's school functioning.

III. Examine differences in HIP-eHealth uptake and effects across socio-demographic groups.

OUTLINE:

PRE-STUDY: Parent-child dyads attend 4 intervention sessions over 10 weeks and provide feedback in support of intervention refinement.

Parent-child dyads are randomized to 1 of 2 arms.

ARM I: Patients and parents undergo high intensity eHealth intervention through the interactive website and via videoconferencing for 30-50 minutes once every 3 to 4 weeks for up to 5 sessions over 6 months. Patients and parents also receive usual care. After 6 months, parents attend booster sessions at months 7, 9, and 11.

ARM II: Patients and parents receive usual care.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Documented informed consent of the participant and/or legally authorized representative
  • Assent, when appropriate, will be obtained per institutional guidelines
  • Primary participating parent/caregiver is English- or Spanish-speaking (any race/ethnicity)
  • Child is aged 6-12 years (yr.) (for the website usability pre-study, child is age 8 - 12 yrs.)
  • Child understands English (but can be bilingual)
  • Child treated for acute leukemia (e.g., acute lymphoblastic leukemia, acute myelogenous leukemia) or lymphoblastic lymphoma
  • Child is in cancer remission and has completed cancer therapies, including maintenance treatment
  • Primary participating parent/caregiver has daily contact with the child
  • Child is enrolled in school

Exclusion criteria

  • Recent or current participation in a behavioral intervention study with a similar focus
  • History of major psychiatric condition (e.g., psychosis) in parent or child
  • Severe neurodevelopmental disorder in the child (e.g., down syndrome, intellectual disability)
  • Child has previously used the IXL online learning program extensively and unwilling to regularly use it again
  • Any other condition that would, in the investigator's judgment, contraindicate the patient's participation in the clinical study due to safety concerns with clinical study procedures
  • Prospective participants who, in the opinion of the investigator, may not be able to comply with all study procedures (including compliance issues related to feasibility/logistics)

Treatment and study plan

Best Practice

Other

Receive usual care

Internet-Based Intervention

Other

Undergo eHealth intervention

Quality-of-Life Assessment

Other

Ancillary studies

Questionnaire Administration

Other

Ancillary studies

Primary outcomes

  1. Child's improvement in academic functioning

    Time frame: At baseline and 1 year

    Measured using the Wechsler Individual Achievement Test (WIAT) Numerical Operations (NO) subset. The WIAT NO score at 1 year will be compared between treatment arms using the Generalized Estimating Equation (GEE), adjusting for baseline values and accounting for correlations among patients within a study site. An indicator variable for treatment arm will be included in the model, its significance tested, and a 95% confidence interval constructed.

Secondary outcomes

  1. Objective academic performance (Child)

    Time frame: Up to 5 years

    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).

  2. Attention performance (Child)

    Time frame: Up to 5 years

    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).

  3. Parent-reported functioning of child (Child)

    Time frame: Up to 5 years

    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).

  4. Use of learning strategies (Child)

    Time frame: Up to 5 years

    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).

  5. Mean of item scores from the Student Intrinsic Motivation to Learn questionnaire

    Time frame: Baseline, time 2, time 3

    Student Intrinsic Motivation to Learn Questionnaire measuring motivation for academic learning

  6. Mean of item scores from the Student Academic Self-efficacy questionnaire

    Time frame: Baseline, time 2, time 3

    .Student Academic Self-efficacy measures self-confidence

  7. Knowledge of pro-learning parenting (Parents)

    Time frame: Up to 5 years

    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.

  8. Frequency of pro-learning behaviors (Parents)

    Time frame: Up to 5 years

    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.

  9. Parenting pro-learning efficacy (Parents)

    Time frame: At baseline, 6 months, 1 year

    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.

Sponsors and collaborators

Lead sponsor

City of Hope Medical Center

Other

Collaborators

  • National Cancer Institute (NCI)

Registry information

Official study title

Leveraging Digital Health Solutions to Reduce Learning and Functional Disparities in Children With Cancer

Important dates

Study start
2023
Primary completion
2027
Study completion
2027
First posted
Jun 22, 2022
Registry last updated
Jun 4, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.