Doctor of Philosophy (PhD)
Curriculum and Instruction
First Advisor's Name
First Advisor's Committee Title
Second Advisor's Name
Maureen C. Kenny
Second Advisor's Committee Title
Third Advisor's Name
Third Advisor's Committee Title
Fourth Advisor's Name
Fourth Advisor's Committee Title
virtual patient, self-efficacy, simulation, pre-health
Date of Defense
The use of simulators and simulation training has become standard practice for students in medical and pre-health programs, including but not limited to, clinical and counseling disciplines in pre-health education. Students train and sharpen their skills using this technology to prepare them for real-life encounters with future patients (Berman, Durning, Fischer, Huwendiek, & Triola, 2016). One possible encounter, a suicidal patient, is a challenge that most counselors or therapists are not prepared for, causing stress and affecting their confidence. The literature describes how treating clients/patients with suicidal ideation and behavior is stressful for even the most experienced mental health professional (Farberow, 2005; Foster & McAdams, 1999; Gulfi et al., 2010; Mirick et al., 2016; Osteen et al., 2014; Smith et al., 2015). This challenge has been addressed by education programs using standardized patients to recreate similar encounters, which can lead to an increase in confidence and self-efficacy (Fallucco, Hanson, & Glowinski, 2010). However, the use of standardized patients is not feasible in all cases. One solution is virtual patient simulation as a complement to traditional face-to-face lectures and training. The purpose of this study is to understand the impact of virtual patient simulation on self-efficacy levels when students are faced with a suicide risk scenario. This quantitative study relied on the collection of data from pre-health professional students (n=111) and involved the testing of hypotheses following published self-efficacy and education literature. The hypotheses were tested using a factorial analysis of variance (ANOVA), a factorial analysis of covariance (ANCOVA), and a bivariate correlation analysis among the intervention groups. The results of the ANOVA and ANCOVA did not indicate a significant result for differences amongst the intervention groups. However, the results of the bivariate correlation analysis indicated a significant relationship (p
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Fajardo, Francisco Javier, "Virtual Patient Simulation: Training Pre-Health Professionals in Suicide Risk Prevention" (2019). FIU Electronic Theses and Dissertations. 4271.
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