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Simulation for Nurse Anesthesia Program Selection: Redesigned

dc.contributor.authorRoebuck, John Arthur
dc.contributor.advisorMotz, Jane
dc.date.accessioned2017-06-30T18:45:12Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2017-06-30T18:45:12Z
dc.date.issued2017-04-24
dc.date.submitted2017
dc.identifier.urihttps://hdl.handle.net/2027.42/137660
dc.description.abstractPurpose: This project is meant to answer the research question: What applicant character traits do Nurse Anesthesia Program Directors and Faculty identify as favorable predictors for successful completion of a nurse anesthesia program, and what evaluation methods are best to evaluate these traits in prospective students? Methods: A prospective cross-sectional survey tool was developed and sent to all current nurse anesthesia program directors, assistant directors, and faculty within the United States. Participants were identified via the Council on Accreditation of nurse anesthesia programs (COA) website, a hard copy of the survey was provided to attendees of the Assembly of School Faculty meeting 2016. Results: The essential evaluation methods included: 1) interviews (88.4%), 2) letters of recommendation (62.1%), 3) shadowing a Certified Registered Nurse Anesthetist (CRNA) (60.8%), and 4) high fidelity simulation (58.1%). The personal characteristics included; 1) ability to learn from mistakes (99.5%), 2) commitment (99.5%), 3) integrity (99.5%), 4) judgment (99.5%), 5) hardiness (99.5%), 6) clinical awareness (97.9%), and 7) leadership (94.2%) as high predictors of program success. Conclusion: The assessment and evaluation methods survey tool demonstrated many findings congruent with previous research. High fidelity simulation as an evaluation method was ranked as being an essential or important predictor of successful program completion by 58.1% of respondents. It was the preferred evaluation method for two personal characteristics, clinical awareness (59.4%) and judgment (50%). Therefore, simulation was identified as a viable method to evaluate two personal characteristics. Information gained from this project was used to create a simulation scenario which may assist program directors and faculty in the prospective anesthesia student evaluation process. Data Sources: The survey was recorded in Qualtrics® and analyzed by SPSS Statistics 24® software. Criteria were searched via PubMed and CINAHL. Keywords: Program director, Certified Registered Nurse Anesthetist, CRNA, Simulation, Admission criteria, Anesthesia Education, Kolb’s experiential learning theory, Assessment, Attritionen_US
dc.language.isoen_USen_US
dc.subjectadmission criteriaen_US
dc.subjectassessmenten_US
dc.subjectattritionen_US
dc.subjectCertified Registered Nurse Anesthetisten_US
dc.subjectKolb’s experiential learning theoryen_US
dc.subjectSimulationen_US
dc.subject.otherhealth educationen_US
dc.subject.otherNursingen_US
dc.subject.otherAnesthesiaen_US
dc.titleSimulation for Nurse Anesthesia Program Selection: Redesigneden_US
dc.typeThesisen_US
dc.description.thesisdegreenameDoctor of Anesthesia Practice (DAP)en_US
dc.description.thesisdegreedisciplineAnesthesia Practiceen_US
dc.description.thesisdegreegrantorUniversity of Michigan-Flinten_US
dc.contributor.committeememberStump, Lawrence
dc.identifier.uniqname77021653en_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/137660/1/Roebuck2017.pdf
dc.description.filedescriptionDescription of Roebuck2017.pdf : Thesis
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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