OBJECTIVE Regular psychosocial assessment is a best-practice guideline for young adult oncology care, but multipurpose, multidimensional, developmentally appropriate patient-reported outcome measurement strategies for young adults with cancer are lacking. This… Click to show full abstract
OBJECTIVE Regular psychosocial assessment is a best-practice guideline for young adult oncology care, but multipurpose, multidimensional, developmentally appropriate patient-reported outcome measurement strategies for young adults with cancer are lacking. This study reported on the development and preliminary validation of the Young Adult Psychosocial Assessment Strategy (YA-PAS), a tool designed to meet this clinical need. METHODS The YA-PAS was developed based on the literature and clinician feedback. 20 young adults with cancer participated in cognitive interviews to provide feedback on complexity, readability, and applicability to inform measure refinement. Following refinements, 100 young adults with a history of cancer participated in an observational study including a preliminary evaluation of YA-PAS factor structure, internal consistency, test-retest reliability, construct and criterion validity, feasibility, and acceptability. RESULTS Cognitive interviews and psychometric evaluation informed modifications and resulted in a measure with 9 domains (anxiety, depression, cognitive functioning, post-traumatic stress, family stressors, support, social isolation, self-efficacy for symptom management, and self-efficacy for medication management) and nonscoring items assessing substance use, life stressors, resources, educational/vocational status, and relationship status. 8 of 9 domains demonstrated acceptable internal consistency (Cronbach's α ≥ 0.70), substantial (r = 0.61-0.80) or almost perfect (r > 0.80) test-retest reliability, and evidence of domain and cut-point validity. 89% of participants were able to complete the YA-PAS within 20 min and 87% were satisfied with the measure. CONCLUSIONS The YA-PAS demonstrated promising psychometric properties, feasibility, and acceptability. Clinical implications and research recommendations are discussed.
               
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