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Johnson CW, Johnson R, McKee JC, et al. Personal Background Preparation Survey for early identification of nursing students at risk for attrition. 2009;48:606-13doi: 10.3928/01484834-20090716-06.
Johnson, C. W., Johnson, R., McKee, J. C., & Kim, M. (2009). Personal Background Preparation Survey for early identification of nursing students at risk for attrition. 48606-13. https://doi.org/10.3928/01484834-20090716-06
Johnson, C W, et al. "Personal Background Preparation Survey for early identification of nursing students at risk for attrition." vol. 48 (2009): 606-13. doi: https://doi.org/10.3928/01484834-20090716-06
Johnson CW, Johnson R, McKee JC, Kim M. Personal Background Preparation Survey for early identification of nursing students at risk for attrition. 2009;48:606-13. doi: 10.3928/01484834-20090716-06. UIID-AD: 3030.
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2009;48:606-13. doi: 10.3928/01484834-20090716-06.

Personal Background Preparation Survey for early identification of nursing students at risk for attrition.

C W Johnson, R Johnson, J C McKee, M Kim

UIID-AD: 3030 DOI: 10.3928/01484834-20090716-06

Abstract

During 2004 and 2005 orientations, all 187 and 188 new matriculates, respectively, in two southwestern U.S. nursing schools completed Personal Background and Preparation Surveys (PBPS) in the first predictive validity study of a diagnostic and prescriptive instrument for averting adverse academic status events (AASE) among nursing or health science professional students. One standard deviation increases in PBPS risks (p < 0.05) multiplied odds of first-year or second-year AASE by approximately 150%, controlling for school affiliation and underrepresented minority student (URMS) status. AASE odds one standard deviation above mean were 216% to 250% those one standard deviation below mean. Odds of first-year or second-year AASE for URMS one standard deviation above the 2004 PBPS mean were 587% those for non-URMS one standard deviation below mean. The PBPS consistently and significantly facilitated early identification of nursing students at risk for AASE, enabling proactive targeting of interventions for risk amelioration and AASE or attrition prevention.

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