The Science Journal of the American Association for Respiratory Care

2000 OPEN FORUM Abstracts

PREDICTORS OF RESPIRATORY CARE PROGRAM OUTCOMES

David L. Vines, MHS, RRT, Terry S. LeGrand, PhD, RRT and David C. Shelledy, PhD, RRT. The University of Texas Health Science Center, San Antonio, Tx

PURPOSE: We analyzed the ability of respiratory care (RC) program students' entering GPA (EGPA), program prerequisite GPA (PGPA), pre-admission interview score (IS), general critical thinking ability (CT) as assessed by the Watson-Glaser, end-of-first-year competency exam (FYEX), in-program GPA (RCGPA), and performance on NBRC certification and written registry self-assessment exams (CRTTSAE and WRRTSAE) to predict graduate outcomes. METHOD: Records of all graduates (n=46) from a baccalaureate RC program were reviewed to obtain scores for predictor variables. Outcome measures included scores on the NBRC CRTT exam, and scores on an end-of-program written registry exam (WRRT) and clinical simulation exam (CSE). Achievement of cognitive (CS), psychomotor (PS) and affective (AS) program standards were assessed by surveying graduates and employers. Pearson product-moment correlations and forward step-wise regression analyses were performed to determine the independent variables ability to predict specific outcomes.

Results:
NBRC CRTT exam scores were significantly correlated with EGPA, PGPA, CT, RCGPA, FYEX, CRTTSAE and WRRTSAE. WRRT scores were significantly correlated with FYEX, RCGPA, and WRRTSAE. CSE decision making (DM) was significantly correlated with IS, FYEX, RCGPA, and CRTTSAE. Graduate evaluations for CS, PS and AS were significantly correlated with FYEX. The coefficient of multiple correlation, R2, indicated that in combination, the independent variables accounted for the following variances in outcome measures: 66% in CRTT, 56% in WRRT, 14% in CSE information gathering, 41% in DM, 19% in graduate CS, 27% in graduate PS, and 22% in graduate AS. The strongest predictors of performance on NBRC exams, based on regression analysis, were CT, EGPA, RCGPA, FYEX, CRTTSAE, and WRRTSAE. CONCLUSION: IS, EGPA, PGPA, RCGPA, CT, FYEX, CRTTSAE and WRRTSAE may be useful in predicting graduate performance on selected program outcome measures.

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