Some childhood cancer survivors have health problems as the result of previous cancer treatment. This study is being done to determine if we can better predict the risk a childhood cancer survivor might have for developing future health issues. The goal of this study is to enable regular monitoring of patient-generated health data (PGHD), including symptoms, physical activity, energy expenditure, sleep behavior and heart rate variability, and utilize these data in predicting survivor-specific risk of late effects to improve survivorship care and outcomes.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Symptom log
Timeframe: Baseline, week 1, week 5, week 9, week 60 and week 108, timeline for each survivor includes 6 timepoints over 2-year period
Euro QoL 5D
Timeframe: Baseline, week 1, week 5, week 9, week 60 and week 108, timeline for each survivor includes 6 timepoints over 2-year period
NIH PROMIS 45
Timeframe: Baseline, week 1, week 5, week 9, week 60 and week 108, timeline for each survivor includes 6 timepoints over 2-year period
QLACS
Timeframe: Baseline, week 1, week 5, week 9, week 60 and week 108, timeline for each survivor includes 6 timepoints over 2-year period
MEPS-US Medical Expenditure Panel Survey
Timeframe: Baseline, week 1, week 5, week 9, week 60 and week 108, timeline for each survivor includes 6 timepoints over 2-year period
Chronic health conditions log
Timeframe: Baseline, week 60 and week 108
Physical performance-Cardiopulmonary fitness
Timeframe: Baseline , week 60 and week 108
Physical performance-Muscular strength and endurance
Timeframe: Baseline, week 60 and week 108
Physical performance-Flexibility
Timeframe: Baseline, week 60 and week 108
Physical performance-Mobility
Timeframe: Baseline, week 60 and week 108
Physical performance-Balance and sensory integrity
Timeframe: Baseline, week 60 and week 108