This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
People with disabilities (PWD) experience increased risk of diagnostic error-sometimes due to attributing symptoms to disability rather than a potentially new or co-morbid conditions. As well, some diagnoses are prone to error. Based on literature we identified the following twenty-six with ICD-10 codes: Aortic aneurysm and dissection I71.0 - I71.9; Arterial thromboembolism I74.0 - I74.9; Venous thromboembolism I82.0-I82.99 and I82.A-I82.C; Congestive heart failure I50.1-150.9; Stroke All I60, I61, I62, I63, I64; Myocardial infarction I21.0-I21.9 and I21.A-I21.B; Spinal abscess G06.0, G06.1 and G06.2; Meningitis and encephalitis G04 -G04.91; Endocarditis I33.0-I33.9 and I38; Sepsis A41.0-A41.9; Pneumonia J12.0-J95.851; Lung cancer C34.0-C34.92; Melanoma C43.0- C43.9; Colorectal cancer C18.0-C18.9; Breast cancer C50 to C50.929, and C79.81; Prostate cancer C61; Pediatric Arterial ischemic stroke I63.0-163.9xx; Appendicitis K35-K35.8xx; Asthma J45.2-J45.998; Retinal blastoma C69.20, C69.21, C60.22; Brain tumor C71.0-C71.9; Polyateritis M30.0-M30.8; Congenital heart disease Q20 - Q28 (Q24.9 particularly important); Duchense muscular dystrophy G71.0-G71.9; Inflammatory bowel disease K51.0-K51.9; Scleroderma M34.0-M34.9.The goal of this research is to identify and create understanding of what underlies and contributes to increased risk of diagnostic error with these diagnoses. The investigators plan to develop ways to reduce it, specifically ways to identify people with disabilities at risk of diagnostic error (DE). The investigators will also develop education programs and decision supports targeted to healthcare professionals. If it is effective, ways to reduce diagnostic error will have been developed among people with disabilities.
End Diagnostic Overshadowing: Addressing Ableism in the Healthcare Context
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Rush University Medical Center
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