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Trial · NCT07909525

Registered outcomes17

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescription
PrimaryChange of financial hardshipBaseline up to 6 months after randomization
Will be measured by Comprehensive Score for Financial Toxicity (FACIT-COST). Will calculate the difference in COST from baseline to 6-month follow-ups for adolescents and young adults (AYA) participants who provide data at each time point and use two-sample t-tests (two sided) to assess if mean differences are significantly different between arms. If the data are not normally distributed, nonparametric methods (e.g., Wilcoxon rank-sum test) will be used to assess the difference. To control for confounders, will fit linear regressions with the change of COST from baseline to 6-month follow-up as the response variable and age, race/ethnicity, socioeconomic status, disease type, sex, and other social determinants of health as covariates. Will stratify analysis by age stratum (18-25 years-old versus \[vs\] 26-39 years-old), sex, and race to minimize bias.
PrimaryChange in health insurance literacyBaseline up to 6 months after randomization
Will be measured by the Health Insurance Literacy Measure (HILM). The HILM co-primary endpoint will be analyzed restricted to AYA participants insured at baseline (modified intention to treat \[ITT\] for HILM), AYA participants with valid HILM-9 scores at baseline and 6 months. An ITT analysis using multiple imputation will be performed to handle missing HILM scores (including those for uninsured participants), with insurance status and other prespecified covariates included in the imputation model.
SecondaryChange of self-reported material financial hardshipBaseline up to 6 months after randomizationWill be assessed using Childhood Cancer Survivor Study Long-Term Follow-Up Survey that assess material subdomains of financial hardship.
SecondaryChange of self-reported psychological financial hardshipBaseline up to 6 months after randomization
Psychological financial hardship will be assessed using the applicable CCSS Long-Term Follow-Up Health Insurance Survey items. Item responses will be aggregated into a single domain-level ordinal measure based on the number of psychological hardship instances reported: 0, 1-2, or ≥3 instances. Change from baseline to 6 months will be compared between randomized arms.
SecondaryChange of self-reported behavioral aspects of financial hardshipBaseline up to 6 months after randomization
Behavioral financial hardship will be assessed using the 10 behavioral hardship items from the CCSS Long-Term Follow-Up Health Insurance Survey. Item responses will be aggregated into a single domain-level ordinal measure based on the number of behavioral hardship instances reported: 0, 1-2, or ≥3 instances. Change from baseline to 6 months will be compared between randomized arms.
SecondaryChange of self-reported material financial hardshipBaseline up to 12 months after randomization
Material financial hardship will be assessed using the 9 material hardship items from the CCSS Long-Term Follow-Up Health Insurance Survey. Item responses will be aggregated into a single domain-level ordinal measure based on the number of material hardship instances reported: 0, 1-2, or ≥3 instances. Longitudinal change in this measure from baseline through 12 months will be compared between randomized arms.
SecondaryChange of self-reported psychological financial hardshipBaseline up to 12 months after randomization
Psychological financial hardship will be assessed using the applicable CCSS Long-Term Follow-Up Health Insurance Survey items. Item responses will be aggregated into a single domain-level ordinal measure based on the number of psychological hardship instances reported: 0, 1-2, or ≥3 instances. Longitudinal change in this measure from baseline through 12 months will be compared between randomized arms.
SecondaryChange of self-reported behavioral aspects of financial hardshipBaseline up to 12 months after randomization
Behavioral financial hardship will be assessed using the 10 behavioral hardship items from the CCSS Long-Term Follow-Up Health Insurance Survey. Item responses will be aggregated into a single domain-level ordinal measure based on the number of behavioral hardship instances reported: 0, 1-2, or ≥3 instances. Longitudinal change in this measure from baseline through 12 months will be compared between randomized arms.
SecondaryBarriers and facilitators of LIFT UP implementationUp to 13 months after randomization
Assessed via qualitative interviews with AYA participants and non-patient participants. Analysis will be guided by a codebook informed by the Consolidated Framework for Implementation Research and the Theoretical Domains Framework and conducted in Atlas.ti, a multifunctional qualitative data analysis software
OtherProportion of application and approval for financial assistanceAt 3, 6, and 12 months after randomization
Will be assessed using Supportive Services (Consumer Cancer Care) questionnaire. The proportions of applications and approval for financial assistance will be calculated at 3-, 6-, and 12-month follow up time points by arm.
OtherHealth service utilization of emergency departmentsAt 3, 6, and 12 months after randomizationWill be assessed using Health Service Utilization questionnaire. The number and proportion of AYA participants using the service will be calculated at each time point (e.g., 3, 6, 12 months) by arm.
OtherScheduled and unscheduled hospital admissionsAt 3, 6, and 12 months after randomizationWill be assessed using Health Service Utilization questionnaire. The number and proportion of AYA participants using the service will be calculated at each time point (e.g., 3, 6, 12 months) by arm.
OtherScheduled office visitsAt 3, 6, and 12 months after randomizationWill be assessed using Health Service Utilization questionnaire. The number and proportion of AYA participants using the service will be calculated at each time point (e.g., 3, 6, 12 months) by arm.
OtherUrgent care visitsAt 3, 6, and 12 months after randomizationWill be assessed using Health Service Utilization questionnaire. The number and proportion of AYA participants using the service will be calculated at each time point (e.g., 3, 6, 12 months) by arm.
OtherProportion of self-reported return to work or schoolAt 3, 6, and 12 months after randomization
Will be assessed using Sociodemographic Follow-up questionnaire. The proportion of AYA participants reporting a return to work or school will be calculated at each follow-up (e.g., 3, 6, and 12 months) by arm.
OtherSocial determinants of health and self-reported financial hardship and health service utilizationUp to 12 months after randomization
Model the effects of financial self-efficacy, health insurance literacy, social determinants of health, clinical, and site variables on financial hardship. Mediation models will include covariates associated with financial hardship. Individual indirect effects of the mediators and total effect will be estimated.
OtherSocial determinants of health, clinical, and institutional variablesUp to 12 months after randomization
Model the effects of supportive Services (Consumer Cancer Care), Health Service Utilization, and Social determinants of health, clinical, and site variables on financial hardship. Mediation models will include interaction terms between supportive services and patient/institution characteristics (e.g., social determinants of health, insurance type, treatment site).

Source ClinicalTrials.govtrials-2026-11-12-0.5.0

Sources 3

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
  • NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated
  • NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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