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1.
J Prof Nurs ; 27(6): 362-9, 2011.
Article in English | MEDLINE | ID: mdl-22142912

ABSTRACT

Across the nation, weather-related natural disasters-tropical storms, floods, tornadoes, and earthquakes-struck even areas where weather concerns are not paramount on the minds of most people. These natural disasters heightened awareness that all geographic areas are susceptible to aberrant weather conditions. The purpose of this article was to relate the lessons learned by one academic health center in meeting students' emergency preparedness and disaster recovery needs following a major hurricane in fall 2008. To gauge students' storm-related needs, a Hurricane Needs Survey (HNS) was conducted in spring 2009, 7 months after the hurricane. Students responded to 26 structured response items and 3 open-ended questions. Five hundred fifteen surveys were completed, constituting a response rate of 37.2%. Data were analyzed by creating frequencies to profile students' hurricane experiences. Results indicated that all students left the island under mandatory evacuation orders; most stayed with their families, and most experienced moderate material losses. For some students, the evacuation process and life after the storm contributed to ongoing problems, worries, and academic performance issues. Qualitative content analysis was used to derive themes from the students' narrative responses to the HNS open-ended questions about their perceptions of the extent to which the University of Texas Medical Branch met their needs. When students' hurricane response comments were analyzed, three major themes emerged: being prepared, needing to be connected, and returning to normalcy. The major lessons learned are that the emergency preparation of students requires greater specificity and that discussion about poststorm recovery expectations is essential. Following a natural disaster, students experience more distress than may be readily apparent.


Subject(s)
Disasters , Health Services Needs and Demand , Students, Nursing , Data Collection
2.
J Nurs Educ ; 48(11): 606-13, 2009 Nov.
Article in English | MEDLINE | ID: mdl-19650609

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.


Subject(s)
Data Collection/methods , Risk Assessment/methods , Student Dropouts , Students, Nursing , Adult , Attitude of Health Personnel , Data Collection/standards , Educational Status , Female , Humans , Logistic Models , Male , Minority Groups/education , Minority Groups/psychology , Minority Groups/statistics & numerical data , Nursing Education Research , Odds Ratio , Predictive Value of Tests , Remedial Teaching/statistics & numerical data , Risk Assessment/standards , School Admission Criteria , Schools, Nursing/organization & administration , Southwestern United States , Statistics, Nonparametric , Student Dropouts/psychology , Student Dropouts/statistics & numerical data , Students, Nursing/psychology , Students, Nursing/statistics & numerical data , Surveys and Questionnaires/standards
3.
Adv Health Sci Educ Theory Pract ; 14(5): 739-52, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19214393

ABSTRACT

In the first predictive validity study of a diagnostic and prescriptive instrument for averting adverse academic status events (AASE) among multiple populations of diverse health science professions students, entering matriculates' personal background and preparation survey (PBPS) scores consistently significantly predicted 1st- or 2nd-year AASE. During 1st-year orientations, 441 entering matriculates in four southwestern schools from dental, medical, and nursing disciplines completed the 2004 PBPS. The following year during 1st-year orientations, 526 entering matriculates in five schools from dental, medical, nursing, and biomedical science disciplines completed the 2005 PBPS. The PBPS identifies and quantifies a student's noncognitive and cognitive academic performance risks. One standard deviation increments in PBPS risks consistently multiplied 1st- or 2nd-year AASE odds by approximately 140% (p < .05), controlling for underrepresented minority student (URMS) status and school affiliation. Odds of 2nd-year AASE for URMS one standard deviation above the 2004 PBPS mean reached 494% of odds for nonURMS at the mean. PBPS total risks, school affiliation, and URMS status together provided 70-76% correct predictions of 1st- or 2nd-year AASE. PBPS predictive validity did not differ significantly among dental, medical, nursing, or biomedical science schools, or URMS/nonURMS. PBPS sensitivity and specificity approached those for FDA-approved screening mammograms for breast cancer and PSA tests for prostate cancer. PBPS positive predictive values of 42-60% exceeded those for both. The diagnostic and prescriptive PBPS can facilitate proactive targeting of corrective interventions aimed at reducing AASE and attrition among health science education students at risk for academic difficulties.


Subject(s)
Achievement , Aptitude Tests , Minority Groups/education , Student Dropouts , Students, Dental/psychology , Students, Medical/psychology , Students, Nursing/psychology , Adult , Decision Making , Educational Measurement , Female , Humans , Logistic Models , Male , Predictive Value of Tests , Risk Factors , School Admission Criteria , Sensitivity and Specificity , Student Dropouts/statistics & numerical data , Students, Dental/statistics & numerical data , Students, Medical/statistics & numerical data , Students, Nursing/statistics & numerical data
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