Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings |
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Authors: | Erica M Bednar Jr" target="_blank">Michael T WalshJr Ellen Baker Kimberly I Muse Holly D Oakley Rebekah C Krukenberg Cara S Dresbold Sandra B Jenkinson Amanda L Eppolito Kelly B Teed Molly H Klein Nichole A Morman Elizabeth C Bowdish Pauline Russ Emaline E Wise Julia N Cooper Michael W Method John W Henson Andrew V Grainger Banu K Arun Karen H Lu |
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Institution: | 1.The Department of Clinical Cancer Genetics,The University of Texas MD Anderson Cancer Center,Houston,USA;2.The Cancer Prevention and Control Platform, Moon Shots Program?,The University of Texas MD Anderson Cancer Center,Houston,USA;3.Oncology Genetic Counseling, Community Health Network,Indianapolis,USA;4.Piedmont Cancer, Piedmont Healthcare,Atlanta,USA;5.Genetic Counseling Program, OhioHealth,Columbus,USA;6.Gynecologic Cancer Care, Community Health Network,Indianapolis,USA;7.Department of Cancer Services, OhioHealth,Columbus,USA;8.Department of Breast Medical Oncology,The University of Texas MD Anderson Cancer Center,Houston,USA;9.Department of Gynecologic Oncology and Reproductive Medicine,The University of Texas MD Anderson Cancer Center,Houston,USA |
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Abstract: | An environmental scan (ES) is an efficient mixed-methods approach to collect and interpret relevant data for strategic planning and project design. To date, the ES has not been used nor evaluated in the clinical cancer genetics setting. We created and implemented an ES to inform the design of a quality improvement (QI) project to increase the rates of adherence to national guidelines for cancer genetic counseling and genetic testing at three unique oncology care settings (OCS). The ES collected qualitative and quantitative data from reviews of internal processes, past QI efforts, the literature, and each OCS. The ES used a data collection form and semi-structured interviews to aid in data collection. The ES was completed within 6 months, and sufficient data were captured to identify opportunities and threats to the QI project’s success, as well as potential barriers to, and facilitators of guideline-based cancer genetics services at each OCS. Previously unreported barriers were identified, including inefficient genetic counseling appointment scheduling processes and the inability to track referrals, genetics appointments, and genetic test results within electronic medical record systems. The ES was a valuable process for QI project planning at three OCS and may be used to evaluate genetics services in other settings. |
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