The current shortage of clinical sites for neurodiagnostic technology (NDT) students is limiting enrollments and subsequently limiting graduates from NDT schools in the U.S. A lack of knowledge or consensus concerning the use of educational technology in NDT clinical skills training prompted this investigation. The purpose of this study was to explore the use of educational technology in providing NDT clinical skill training. This qualitative Delphi study was guided by experiential learning theory and cognitive constructionist epistemology. Thirty expert panelists were recruited to rate the effectiveness of educational technology methods in addressing neurodiagnostic competencies for electroencephalography. Twenty-four completed round one, twenty-two completed round two and nineteen completed the third and final round. The competencies were derived by combining national competencies or practice analysis from the United States, Australia, Canada and the United Kingdom for neurodiagnostic technologists performing electroencephalography (EEG). Results of the three rounds of the Delphi study were processed using the mean value and interquartile deviation for evaluation of consensus. Consensus among the expert panelists supported the potential effectiveness of educational technology to address neurodiagnostic graduate competencies for technologists performing EEG. In conclusion, the expert panel consensus was NDT clinical skills for performing EEG can be addressed using educational technology, followed by a post-graduate clinical residency. Using educational technology and a post-graduate residency could increase school capacity. An increase in graduate numbers would help sustain the existing schools, better supply the profession, and increase public access to quality neurodiagnostic care.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-7892 |
| Date | 01 January 2019 |
| Creators | Marsh-Nation, Margaret Ann |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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