Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings.
Document Type
Article
Publication Title
Journal of genetic counseling
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.
First Page
1482
Last Page
1496
DOI
10.1007/s10897-018-0262-4
Publication Date
5-16-2018
Recommended Citation
Bednar EM, Walsh MT Jr, Baker E, Muse KI, Oakley HD, Krukenberg RC, Dresbold CS, Jenkinson SB, Eppolito AL, Teed KB, Klein MH, Morman NA, Bowdish EC, Russ P, Wise EE, Cooper JN, Method MW, Henson JW, Grainger AV, Arun BK, Lu KH. Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings. J Genet Couns. 2018 May 16:10.1007/s10897-018-0262-4. doi: 10.1007/s10897-018-0262-4. Epub ahead of print. PMID: 29770910; PMCID: PMC6240000.