<p>MY-Health is a cross sectional study where a population-based sample of 5,500 adult cancer patients were be recruited for a mailed survey (with telephone follow-up of non-responders) to evaluate the equivalence of PROMIS measures across socio-demographic and clinical sub-groups. Patients diagnosed with any of seven cancers were eligible (female breast cancer, uterine and cervical cancers, prostate cancer, colorectal cancer, non- small cell lung cancer (NSCLC) and non-Hodgkin’s Lymphoma) to ensure a wide age range of adults (ages 21-84) with varying treatment experiences and potential symptoms. MY-Health focused on seven domains that are important to cancer outcomes and that are relevant to other chronic diseases: pain, depression, anxiety, sleep disturbance, fatigue, social function, and physical function.Since MY-Health is a “validation” study focusing on minorities and the underserved, racial/ethnic minorities drawn from 4 registries in 3 states (California, New Jersey, Louisiana) were oversampled</p><b>Study Aims</b><ul><li>Use item-response theory (analysis of Differential Item Function (DIF)) to evaluate the measurement properties of PROMIS item banks across age and race/ethnic groups from a population-based sample of cancer patients.</li><li>Evaluate the ability of PROMIS measures to detect differences in population-based patient outcomes across age, race-ethnicity, and cancer sub-groups defined by type, stage/severity, comorbidity, treatments, and disease phase (known-groups, construct validity).</li><li>Evaluate the responsiveness of measures to detect clinically meaningful changes in selected health-related quality of life domains. </li><li>To estimate cancer-specific population norms by patient age, severity, and other clinically important characteristics.</li></ul>