Unlabelled: Multiple clinic models for Down syndrome exist; one model is the multidisciplinary, specialty clinic, such as the Massachusetts General Hospital Down Syndrome Program (MGH DSP).
Methods: Intrateam communication was identified as an area for improvement. Our team developed an intervention, the Passport, a paper-based communication tool passed by parents between clinical teams who evaluated the same patients in different locations. Metrics included an electronic survey of parents and clinicians and tracking the frequency of Passport use. The analysis included the use of Statistical Process Control charts and rules.
Results: The parental suggestions for communication-based interactions improved from 54% (32/60) to 17% (3/18) ( 0.01). Communication scores within the MGH DSP team and between the team and parents were high at 86% and 96%, respectively. Overall satisfaction with the MGH DSP remained consistently high during our project, with a mean score of 6.49 out of 7. The MGH DSP team members reported communication scores with a mean of 85 out of 100.
Conclusions: Implementation of a paper Passport tool incorporated parents in the real-time, intraclinic communication between our MGH DSP teams, leading to improved communication suggestions and high marks on the other metrics followed. Such a tool could be useful for other multidisciplinary clinics where team members evaluate the same patients at different locations on the same day.
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http://dx.doi.org/10.1097/pq9.0000000000000472 | DOI Listing |
Am J Med Genet A
November 2024
Down Syndrome Program, Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA.
Using quality improvement methods, we aimed to implement a protocol to assess for dementia among adults with Down syndrome (DS). To track implementation, interval retrospective chart review of patients with DS with visits to the Massachusetts General Hospital DS Program (MGH DSP) was conducted quarterly. The impact of a newly implemented protocol created and informed by clinical experts in the MGH DSP including laboratory tests, imaging, referrals, and screening tools for dementia and mental health concerns, was analyzed using statistical process control charts.
View Article and Find Full Text PDFAm J Med Genet A
January 2025
Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA.
Adults with Down syndrome (DS) have unique health care needs with evidence-based care guidelines to address these. Yet, the 2020 adult guidelines were unstudied; we aimed to assess adherence to these guidelines. We reviewed clinical and demographic data from medical charts of 327 adults with DS who were seen in the MGH DSP.
View Article and Find Full Text PDFRadiol Imaging Cancer
May 2024
From the Department of Diagnostic Radiology (D.S.P., K.H., A.M., B.E.D.), Lyda Hill Department of Bioinformatics (S.N., P.K., M.C.C., L.W., A.M.), and Biomedical Engineering Department (A.M.), University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8585.
Purpose To develop a custom deep convolutional neural network (CNN) for noninvasive prediction of breast cancer nodal metastasis. Materials and Methods This retrospective study included patients with newly diagnosed primary invasive breast cancer with known pathologic (pN) and clinical nodal (cN) status who underwent dynamic contrast-enhanced (DCE) breast MRI at the authors' institution between July 2013 and July 2016. Clinicopathologic data (age, estrogen receptor and human epidermal growth factor 2 status, Ki-67 index, and tumor grade) and cN and pN status were collected.
View Article and Find Full Text PDFBr J Cancer
November 2023
Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Background: A rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational.
Methods: In this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer.
Proc Natl Acad Sci U S A
August 2023
Regeneron Pharmaceuticals, Tarrytown, NY 10591.
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