Browsing by Author "Chung, Jeanhee"

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    A randomized controlled trial of an online health tool about Down syndrome
    (Elsevier, 2021) Chung, Jeanhee; Donelan, Karen; Macklin, Eric A.; Schwartz, Alison; Elsharkawi, Ibrahim; Torres, Amy; Hsieh, Yichuan Grace; Parker, Holly; Lorenz, Stephen; Patsiogiannis, Vasiliki; Santoro, Stephanie L.; Wylie, Mark; Clarke, Lloyd; Estey, Greg; Baker, Sandra; Bauer, Patricia E.; Bull, Marilyn; Chicoine, Brian; Cullen, Sarah; Frey-Vogel, Ariel; Gallagher, Maureen; Hasan, Reem; Lamb, Ashley; Majewski, Lisa; Mast, Jawanda; Riddell, Travis; Sepucha, Karen; Skavlem, Melissa; Skotko, Brian G.; Pediatrics, School of Medicine
    Purpose: We sought to determine if a novel online health tool, called Down Syndrome Clinic to You (DSC2U), could improve adherence to national Down syndrome (DS) guidelines. We also sought to determine if primary care providers (PCPs) and caregivers are satisfied with this personalized online health tool. Methods: In a national, randomized controlled trial of 230 caregivers who had children or dependents with DS without access to a DS specialist, 117 were randomized to receive DSC2U and 113 to receive usual care. The primary outcome was adherence to five health evaluations indicated by national guidelines for DS. DSC2U is completed electronically, in all mobile settings, by caregivers at home. The outputs-personalized checklists-are used during annual wellness visits with the patient's PCP. Results: A total of 213 participants completed a 7-month follow-up evaluation. In the intention-to-treat analysis, the intervention group had a 1.6-fold increase in the number of indicated evaluations that were recommended by the primary care provider or completed compared with controls. Both caregivers and PCPs reported high levels of satisfaction with DSC2U. Conclusions: DSC2U improved adherence to the national DS health-care guidelines with a novel modality that was highly valued by both caregivers and PCPs.
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    Accuracy of self-reported history of autoimmune disease: A pilot study
    (PLOS, 2019-05-29) O'Rourke, Julia A.; Ravichandran, Caitlin; Howe, Yamini J.; Mullett, Jennifer E.; Keary, Christopher J.; Golas, Sara B.; Hureau, Amrita R.; McCormick, Morgan; Chung, Jeanhee; Rose, Noel R.; McDougle, Christopher J.; Psychiatry, School of Medicine
    Research associating the increased prevalence of familial autoimmunity with neuropsychiatric disorders is reliant upon the ascertainment of history of autoimmune diseases from relatives. To characterize the accuracy of self-report, we compared self-reported diagnoses of 18 autoimmune diseases using an online self-report questionnaire to the electronic medical record (EMR) diagnoses in 1,013 adult (age 18-70 years) patients of a primary care clinic. For the 11 diseases meeting our threshold observed prevalence, we estimated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for self-reported diagnoses under the assumption that EMR-based diagnoses were accurate. Six diseases out of 11 had either sensitivity or PPV below 50%, with the lowest PPV for dermatological and endocrinological diseases. Common errors included incorrectly self-reporting type 2 diabetes mellitus (DM), when type 1 DM was indicated by the EMR, and reporting rheumatoid arthritis when osteoarthritis was indicated by the EMR. Results suggest that ascertainment of familial autoimmunity through self-report contributes to inconsistencies and inaccuracies in studies of autoimmune disease history and that future studies would benefit from incorporating EMR review and biological measures.