Optimizing Health Related Quality of Life Measurement in Adolescent and Young Adult Oncology: A Promising Solution (PROMIS AYA) - Aim 2
Summary
This study evaluates how adolescent and young adults with cancer in the U.S. and their loved ones respond to questions that will later be used with people who may have cancer and other chronic health conditions
Detailed description
PRIMARY OBJECTIVES: * To refine patient-reported outcome assessment tools of body image, fertility, and financial burden for PROMIS and evaluate assumptions for IRT consistent with PROMIS Scientific Standards (e.g., unidimensionality, local independence). * To examine item-level properties to support computer adaptive testing and evaluate possible differential item functioning (DIF). Secondary Objective * To create short forms and examine convergent validity of the new body image, fertility, and financial burden short forms and item banks with corresponding legacy measures of those constructs. OUTLINE: This is an observational study. Participants complete surveys on study.
Arms & interventions
- OtherSurveys/Questionnaires
Participants will complete self-report questionnaires via Redcap. The questionnaires should take less than 30 minutes and will include the following options based on their relevance to each sample: 1) sociodemographic (including the comorbidity index) and clinical information, 2) newly developed item pools for body image, fertility, and financial burden, 3) legacy measures for body image, fertility, and financial burden, 4) the PROMIS AYA Health Status Profile, and 5) the PROMIS Global.
Outcome measures
Primary
Refining of Item Pools - Development of Four Item Banks
Upon completion of data analysis and study team review, investigators will have four unidimensional and locally independent, calibrated item banks: three for AYAs (body image, fertility, and financial burden) and one for caregivers (financial burden). In order to successfully calibrate an item bank, an n=500 is required per bank. In order to examine differential item functioning (DIF), a minimum n=200 per group is recommended. Our proposed sample sizes and specific subgroup accrual targets will be needed to calibrate multiple new item banks (body image, fertility, financial burden), evaluate DIF for various categories (age, gender, race, education) within our sample subgroups (AYAs with and without cancer), and to conduct confirmatory factor analysis (CFAs) on the item banks. In addition, the AYA sample the general population will serve as our reference to establish the mean and standard deviation for body image and fertility.
Time frame: Up to study completion, up to approximately 2 years
Secondary
Short Form Development Based on Item Bank Data
Time frame: Up to study completion, up to approximately 2 years
Eligibility criteria
Study locations (1)
Wake Forest Baptist Comprehensive Cancer Center
Winston-Salem, North Carolina, 27157