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Development of an attrition risk prediction tool
1Health and Life Sciences, De Montfort University, Leicester, UK.
Summary
Student attrition in nursing and midwifery programs is influenced by multiple factors. Identifying these predictors can help develop strategies to improve student retention and success.
Area of Science:
- Nursing Education
- Higher Education Studies
- Student Welfare
Background:
- Nursing and midwifery programs face significant student attrition, with national estimates around 25%.
- High attrition rates carry substantial financial and human resource implications for educational institutions and the healthcare sector.
- Accurate monitoring of attrition across diverse university settings remains a challenge.
Purpose of the Study:
- To explore lecturer and student perspectives on factors contributing to attrition in pre-registration nursing and midwifery programs.
- To identify actionable strategies for mitigating the impact of attrition-related factors on the student experience.
- To provide insights for improving student retention in nursing and midwifery education.
Main Methods:
- A mixed-methods study was conducted in a UK nursing and midwifery school over 18 months (2007-2008).
- Data collection involved individual interviews with 35 lecturers and 10 students, alongside a questionnaire completed by 605 students.
- Attrition data from the student services department were also reviewed to corroborate findings.
Main Results:
- Regression analysis identified eight significant predictors of student attrition.
- Four factors positively influenced student retention, aiding their progression through the program.
- Four factors negatively impacted students, correlating with their intentions to resign from their studies.
Conclusions:
- Student attrition and retention are complex, multifactorial issues requiring a holistic management approach.
- Implementing an attrition risk prediction tool is proposed as a potential strategy to proactively address student retention.
- Understanding perceived factors is crucial for developing targeted interventions to support nursing and midwifery students.
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