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

Acute Myeloid Leukemia Clinical Trial

Official title:

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

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05428176
• Other study ID #: 22057
• Secondary ID: NCI-2022-0469522
• Status: Recruiting
• Phase: N/A
• Start date: February 16, 2023
• Est. completion date: June 30, 2027

Study information

• Verified date: May 2023
• Source: City of Hope Medical Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

Description:

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 332
• Est. completion date: June 30, 2027
• Est. primary completion date: June 30, 2027
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 6 Years and older

Eligibility

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)
• 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)

Related Conditions & MeSH terms

• Acute Leukemia
• Acute Lymphoblastic Leukemia
• Acute Myeloid Leukemia
• Leukemia
• Lymphoblastic Lymphoma
• Precursor Cell Lymphoblastic Leukemia-Lymphoma

Intervention

Other:
• Best Practice
Receive usual care
• Internet-Based Intervention
Undergo eHealth intervention
• Quality-of-Life Assessment
Ancillary studies
• Questionnaire Administration
Ancillary studies

Locations

Country	Name	City	State
United States	City of Hope Medical Center	Duarte	California

Sponsors (2)

Lead Sponsor	Collaborator
City of Hope Medical Center	National Cancer Institute (NCI)

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Child's improvement in academic functioning	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.	At baseline and 1 year
Secondary	Objective academic performance (Child)	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).	Up to 5 years
Secondary	Attention performance (Child)	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).	Up to 5 years
Secondary	Parent-reported functioning of child (Child)	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).	Up to 5 years
Secondary	Use of learning strategies (Child)	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).	Up to 5 years
Secondary	Mean of item scores from the Student Intrinsic Motivation to Learn questionnaire	Student Intrinsic Motivation to Learn Questionnaire measuring motivation for academic learning	Baseline, time 2, time 3
Secondary	Mean of item scores from the Student Academic Self-efficacy questionnaire	.Student Academic Self-efficacy measures self-confidence	Baseline, time 2, time 3
Secondary	Knowledge of pro-learning parenting (Parents)	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.	Up to 5 years
Secondary	Frequency of pro-learning behaviors (Parents)	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.	Up to 5 years
Secondary	Parenting pro-learning efficacy (Parents)	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.	At baseline, 6 months, 1 year