Variables Predicting Academic Success of Nursing Students: a Longitudinal Study in a Nursing Bachelor’s Degree Program
Keywords:
Predictor, nursing student, academic successAbstract
Background. Academic failure can negatively impact on the student, the university and the nursing workforce in the short term. The aim of this study is to analyze the characteristics and predictors of academic success in two cohorts of students of a Nursing Bachelor’s Degree program.
Methods. This longitudinal study enrolled students who attended the Nursing Bachelor’s Degree program. The Tor Vergata University includes 21 Nursing Bachelor’s Degree programs at several Sanitary Institutions of the Rome area, with a mean annual recruitment of 800 students. We considered two cohorts of students beginning the program in the 2011-2012 and 2012-2013 academic years, respectively. The follow-up of these two cohorts ended in the 2017-2018 academic year. We considered socio-demographic and academic variables in the nursing field (pre-admission test grade, training exam grade in the first, second and third year and professional license exam grade). The outcome variable is academic success defined as graduation on time; academic failure is defined as changing degree, delay in completion of the course, attrition and dismissal (failure to complete the studies). Data were collected at baseline (T0), at the end of the first year (T1), at the end of the second year (T2) and at the end of the third year (T3) of the course. A logistic regression was performed to identify predictors of academic success.
Results. 2,041 students were enrolled, with an average age of 22.0 years (± 4.6, 18-50); 67.4% were female. Regarding academic success, 30.6% of students graduated on time and so achieved academic success, while 69.4% failed to complete the course within the established time: 5.4% (110/2,041) changed the course, the attrition rate was 7.3%, 0.3% (6/2,041) overdue from the course for expiring of the terms, 18.0% (368/2,041) is attending the course and 38.4% (784/2,041) graduated after more than three years. Pre-admission test grade (OR: 10.0, 95% CI: 10.020-10.054) and training exam grade at the second and third years (OR: 10.0 95% CI: 10.027-10.139; OR: 10.2 95% CI: 10.171-10.294) predicted academic success.
Discussion and Conclusions. Some nursing students changed course during the last year of the program, while the training exam grade of
the second and third years had predicted academic success; this is a brand new information derived from this study. In addition, we confirmed the association of age, gender, secondary school type and grade and preadmission test with academic success. For these reasons, clinical training should be improved and the quality of internship wards, as learning environments, should be monitored. Italian universities should undertake establishing the ideal cut-off in pre-admission tests to determine which students have a high probability of academic success.
References
1. Organisation for Economic Co-operation and Development (OECD). Health Workforce Policies in OECD Countries: Right Jobs, Right Skills, Right Places. OECD Health Policy Studies, editor. Paris: OECD Publishing, 2016.
2. Daniel KM, Smith CY. Present and future needs for nurses. J Appl Biobehav Res 2018; 23(1):
e12122. https://doi.org/10.1111/jabr.12122.
3. Organisation for Economic Co-operation and Development (OECD)/European Observatory on Health Systems Policies. Italia: Profilo della sanità 2017. Paris: OECD Publishing, 2017.
4. Mastrillo A. Lauree Triennali delle professioni sanitarie. Dati sull’accesso ai corsi e programmazione posti nell’ A.A. 2012-13. Relazione alla Conferenza Nazionale dei Corsi di Laurea delle Professioni Sanitarie, Portonovo di Ancona, 2012. Available on: http://www3.med.unipmn. it/lf/ps/Report_Mastrillo_11nov2012.pdf [Last accessed: 2021 Apr 21].
5. Freeman JC, All A. Academic Support Programs Utilized for Nursing Students at Risk of Academic Failure: A Review of the Literature. Nurs Educ Perspect 2017 Mar-Apr; 38(2): 69-74. doi: 10.1097/01.NEP.0000000000000089.
6. Lancia L, Petrucci C, Giorgi F, Dante A, Cifone MG. Academic success or failure in nursing students: results of a retrospective observational study. Nurse Educ Today 2013 Dec; 33(12): 1501-5. doi: 10.1016/j.nedt.2013.05.001. Epub 2013 May 22.
7. Pryjmachuk S, Easton K, Littlewood A. Nurse education: factors associated with attrition. J Adv Nurs 2009 Jan; 65(1): 149-60. doi: 10.1111/j.1365-2648.2008.04852.x. Epub 2008 Nov 15.
8. Cameron J, Roxburgh M, Taylor J, Lauder W. Why students leave in the UK: an integrative review of the international research literature. J Clin Nurs 2011 Apr; 20(7-8): 1086-96. doi: 10.1111/j.1365-2702.2010.03328.x. Epub 2010 Sep 29.
9. Cameron J, Roxburgh M, Taylor J, Lauder W. An integrative literature review of student retention in programs of nursing and midwifery education: why do students stay? J Clin Nurs 2011 May; 20(9-10): 1372-82. doi: 10.1111/j.1365-2702 .2010.03336.x. Epub 2011 Jan 27.
10. Gaynor L, Gallasch T, Yorkston E, Stewart S, Turner C. Where do all the undergraduate and new graduate nurses go and why? A search for empirical research evidence. Aust J Adv Nurs 2006 Dec-2007 Feb; 24(2): 26-32.
11. Altbach PG. The Globalization of College and University Rankings. Change: The Magazine of Higher Learning 2012; 44(1): 26-31. doi: 10.1080/00091383.2012.636001.
12. Bastedo MN, Bowman T. College Rankings as an Interorganizational Dependency: Establishing the Foundation for Strategic and Institutional Accounts. Res High Educ 2011; 52: 3-23. doi:
10.s11162-010-9185-0.
13. Hazelkorn E. Rankings and the battle for worldclass excellence: Institutional strategies and policy choices. J High Educ Policy Manag 2009; 21(1): 2-21. doi:10.21427/D76P7M
14. Hazelkorn E. Reflections on a Decade of Global Rankings: What we’ve learned and outstanding issues. Eur J Educ 2014 Mar; 49(1): 12-28. https://doi.org/10.1111/ejed.12059.
15. Mulholland J, Anionwu EN, Atkins R, Tappern M, Franks PJ. Diversity, attrition and transition into nursing. J Adv Nurs 2008 Oct; 64(1): 49-59.
doi: 10.1111/j.1365-2648.2008.04758.x.
16. Dante A, Valoppi G, Saiani L, Palese A. Factors associated with nursing students’ academic success or failure: a retrospective Italian multicenter study. Nurse Educ Today 2011 Jan; 31(1): 59-64. doi: 10.1016/j.nedt.2010.03.016. Epub 2010 Apr 27.
17. Andrew S, Salamonson Y, Weaver R, Smith A, O’Reilly R, Taylor C. Hate the course or hate to go: semester differences in first year nursing attrition. Nurse Educ Today 2008 Oct; 28(7): 865-72. doi: 10.1016/j.nedt.2007.12.007. Epub 2008 Mar 4.
18. Mashaba G, Mhlongo T. Student nurse wastage: a case study of the profile and perceptions of students of an institution. J Adv Nurs 1995; 22(2): 364-73. doi: 10.1046/j.1365-2648 .1995.22020364.x.
19. Salamonson Y, Andrew S, Clauson J, Cleary M, Jackson D, Jacobs S. Linguistic diversity as sociodemographic predictor of nursing program progression and completion. Contemp Nurse 2011 Apr-Jun; 38(1-2): 84-93. doi: 10.5172/ conu.2011.38.1-2.84.
20. Cesario SK, Cesario RJ, Cesario AR. Organized music instruction as a predictor of nursing student success. Nurse Educ 2013 Jul-Aug; 38(4): 141-6. doi: 10.1097/NNE.0b013e318296dcf8.
21. Wan Chik WZ, Salamonson Y, Everett B, et al. Gender difference in academic performance of nursing students in a Malaysian university college. Int Nurs Rev 2012 Sep; 59(3):3 87-93. doi: 10.1111/j.1466-7657.2012.00989.x. Epub 2012 Mar 21.
22. Everett B, Salamonson Y, Trajkovski S, Fernandez R. Demographic and academicrelated differences between standard-entry and graduate-entry nursing students: a prospective correlational survey. Nurse Educ Today 2013 Jul; 33(7): 709-13. doi: 10.1016/j.nedt.2013.03.006. Epub 2013 Apr 11.
23. Glew PJ, Hillege SP, Salamonson Y, Dixon K, Good A, Lombardo L. Predictive validity of the post-enrolment English language assessment tool for commencing undergraduate nursing students. Nurse Educ Today 2015 Dec; 35(12): 1142-7. doi: 10.1016/j.nedt.2015.04.012. Epub 2015 May 2.
24. Koch J, Salamonson Y, Rolley JX, Davidson PM. Learning preference as a predictor of academic performance in first year accelerated graduate entry nursing students: a prospective followup study. Nurse Educ Today 2011 Aug; 31(6): 611-6. doi: 10.1016/j.nedt.2010.10.019. Epub 2010 Nov 18.
25. Pitt V, Powis D, Levett-Jones T, Hunter S. The influence of personal qualities on performance and progression in a pre-registration nursing programme. Nurse Educ Today 2014 May; 34(5): 866-71. doi: 10.1016/j.nedt.2013.10.011. Epub 2013 Oct 29.
26. Timer JE, Clauson MI. The use of selective admissions tools to predict students’ success in an advanced standing baccalaureate nursing program. Nurse Educ Today 2011 Aug; 31(6): 601-6. doi: 10.1016/j.nedt.2010.10.015. Epub 2010 Nov 6.
27. Wambuguh O, Eckfield M, Van Hofwegen L. Examining the Importance of Admissions Criteria in Predicting Nursing Program Success. Int J Nurs Educ Scholarsh 2016 Sep 20; 13(1): /j/ijnes.2016.13.issue-1/ijnes-2015-0088/ijnes2015-0088.xml. doi: 10.1515/ijnes-2015-0088.
28. Kowitlawakul Y, Brenkus R, Dugan N. Predictors for success for first semester, second-degree Bachelor of Science in Nursing students. Int J Nurs Pract 2013 Feb; 19 (Suppl 1): 38-43. doi:
10.1111/ijn.12014.
29. Fernandez R, Salamonson Y, Griffiths R. Emotional intelligence as a predictor of academic performance in first-year accelerated graduate entry nursing students. J Clin Nurs 2012 Dec; 21(23-24): 3485-92. doi: 10.1111/j.1365-2702 .2012.04199.x.
30. Goff AM. Stressors, academic performance, and learned resourcefulness in baccalaureate nursing students. Int J Nurs Educ Scholarsh 2011; 8: Article 1. doi: 10.2202/1548-923X.2114. Epub 2011 Jan 24.
31. Salamonson Y, Andrew S. Academic performance in nursing students: influence of part-time employment, age and ethnicity. J Adv Nurs 2006 Aug; 55(3): 342-9; discussion 50-1. doi: 10.1111/j.1365-2648.2006.03863_1.x.
32. Salamonson Y, Andrew S, Everett B. Academic engagement and disengagement as predictors of performance in pathophysiology among nursing students. Contemp Nurse 2009 Apr-Jun; 32(1-2): 123-32. doi: 10.5172/conu.32.1-2.123.
33. Jeffreys MR. Tracking students through program entry, progression, graduation, and licensure: assessing undergraduate nursing student retention and success. Nurse Educ Today 2007 Jul; 27(5): 406-19. doi: 10.1016/j.nedt.2006.07.003. Epub 2006 Aug 22.
34. Seago JA, Keane D, Chen E, Spetz J, Grumbach K. Predictors of students’ success in community college nursing programs. J Nurs Educ 2012 Sep; 51(9): 489-95. doi: 10.3928/0148483420120730-03. Epub 2012 Jul 30.
35. Sadler J. Effectiveness of student admission essays in identifying attrition. Nurse Educ Today 2003 Nov; 23(8): 620-7. doi: 10.1016/s02606917(03)00112-6.
36. Deary IJ, Watson R, Hogston R. A longitudinal cohort study of burnout and attrition in nursing students. J Adv Nurs 2003 Jul; 43(1): 71-81. doi:
10.1046/j.1365-2648.2003.02674.x.
37. Destrobecq A, Destefani C, Sponton A. [Abandonment of nursing courses: a survey regarding the motivations which lead the students to the abandonment of the nursing degree course]. Prof Inferm 2008 Apr-Jun; 61(2): 80-6. Italian.
38. Glossop C. Student nurse attrition from preregistration courses: investigating methodologi-
cal issues. Nurse Educ Today 2001 Apr; 21(3): 170-80. doi: 10.1054/nedt.2000.0525.
39. White J, Williams WR, Green BF. Discontinuation, leaving reasons and course evaluation comments of students on the common foundation programme. Nurse Educ Today 1999 Feb; 19(2): 142-50. doi: 10.1054/nedt.1999.0622.
40. Last L, Fulbrook P. Why do student nurses leave? Suggestions from a Delphi study. Nurse Educ Today 2003 Aug; 23(6): 449-58. doi: 10.1016/ s0260-6917(03)00063-7.
41. Salamonson Y, Everett B, Cooper M, Lombardo L, Weaver R, Davidson PM. Nursing as first choice predicts nursing program completion. Nurse Educ Today 2014 Jan; 34(1): 127-31. doi:
10.1016/j.nedt.2012.10.009. Epub 2012 Nov 8.
42. Ali PA, Naylor PB. Association between academic and non-academic variables and academic success of diploma nursing students in Pakistan. Nurse Educ Today 2010 Feb; 30(2): 157-62. doi: 10.1016/j.nedt.2009.07.006. Epub 2009 Aug 15.
43. Lancia L, Caponnetto V, Dante A, et al. Analysis of factors potentially associated with nursing students’ academic outcomes: A thirteen-year retrospective multi-cohort study. Nurse Educ Today 2018 Nov; 70: 115-20. doi: 10.1016/j.
nedt.2018.08.020. Epub 2018 Aug 24.
44. Dante A, Fabris S, Palese A; RIASI Group. Predictive power of individual factors and clinical learning experience on academic success: findings from a longitudinal study. Nurse Educ 2015 May-Jun; 40(3): E1-6. doi: 10.1097/ NNE.0000000000000132.
45. Chan YH. Biostatistics 201: linear regression analysis. Singapore Med J 2004; 45(2): 55-61.
46. Bulfone G, Predan S, Zanini A, Farneti F, Quattrin R, Brusaferro S. Predictors of nursing student success in an Italian school of Nursing. Ig Sanita Pubbl 2011 Mar-Apr; 67(2): 137-47.
47. Van Hoek G, Portzky M, Franck E. The influence of socio-demographic factors, resilience and stress reducing activities on academic outcomes of undergraduate nursing students: A crosssectional research study. Nurse Educ Today 2019 Jan; 72: 90-6. doi: 10.1016/j.nedt.2018.10.013. Epub 2018 Nov 6.
48. McCarey M, Barr T, Rattray J. Predictors of academic performance in a cohort of pre-registration nursing students. Nurse Educ Today 2007 May; 27(4): 357-64. doi: 10.1016/j.nedt.2006.05.017.
Epub 2006 Aug 17.
49. Dante A, Fabris S, Palese A. Time-to-event analysis of individual variables associated with nursing students’ academic failure: a longitudinal study. Adv Health Sci Educ Theory Pract 2013 Dec; 18(5): 1047-65. doi: 10.1007/s10459013-9448-6. Epub 2013 Feb 20.
50. Martin M, Ramjan LM, Everett B, Glew P, Lynch J, Salamonson Y. Exploring nursing students’ experiences of a drop-in support-centre: A mixed-methods study. Nurse Educ Today 2018 Oct; 69: 1-7. doi: 10.1016/j.nedt.2018.06.026. Epub 2018 Jun 30.
51. Dries KJ. Variables Impacting Program Completion of Readmitted Associate Degree Nursing Students. Nurse Educ 2020 Jan-Feb; 45(1): 35-8.
doi: 10.1097/NNE.0000000000000660.
52. Abele C, Penprase B, Ternes R. A closer look at academic probation and attrition: what courses are predictive of nursing student success? Nurse Educ Today 2013 Mar; 33(3): 258-61. doi: 10.1016/j. nedt.2011.11.017. Epub 2011 Dec 15.
53. Ott V, Thomas JA, Fernando H. First-year success in a nursing baccalaureate plan of study: A descriptive research study. Nurse Educ Today 2018 Aug; 67: 108-13. doi: 10.1016/j.
nedt.2018.05.005. Epub 2018 May 21.
54. Evans DB. Examining the influence of noncognitive variables on the intention of minority baccalaureate nursing students to complete their program of study. J Prof Nurs 2013 May-June; 29(3): 148-54. doi: 10.1016/j. profnurs.2012.04.016.
55. Harris RC, Rosenberg L, Grace O’Rourke ME. Addressing the challenges of nursing student attrition. J Nurs Educ 2014 Jan 1; 53(1): 31-7. doi: 10.3928/01484834-20131218-03. Epub 2013 Dec 18.
56. Jinks AM, Richardson K, Jones C, Kirton JA. Issues concerning recruitment, retention and attrition of student nurses in the 1950/60s: a comparative study. Nurse Educ Pract 2014 Nov; 14(6): 641-7. doi: 10.1016/j.nepr.2014.07.002. Epub 2014 Jul 22.
57. McLain RM, Fifolt M, Dawson MA, et al. Student Success Survey: Supporting Academic Success for At-Risk Nursing Students Through Early Intervention. Nurse Educ 2017 Jan-Feb; 42(1): 33-7. doi: 10.1097/NNE.0000000000000322.
58. Chen S, Voyles D. HESI Admission Assessment scores: predicting student success. J Prof Nurs 2013 Mar-Apr; 29(2 Suppl 1): S32-7. doi: 10.1016/j.profnurs.2012.06.008.
59. Saiani L. Quali suggestioni per la formazione? X° Conferenza Nazionale delle politiche della professione infermieristica. Bologna, 22 Giugno 2018.
60. Palese A, Altini P, Benaglio C, et al. Clinical Learning Quality Evaluation Index per la valutazione della qualità dell’apprendimento clinico degli studenti infermieri e raccomandazioni di utilizzo. Medicina e Chirurgia 2019; 83: 368593. doi: 10.4487/medchir2019-83-3.
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