A model for predicting student nurse attrition during pre-registration training: A retrospective observations study using routinely collected administrative data

To our knowledge this is the first study to examine the role of study intermittence on student attrition, or to be built on the pre-existing university business intelligence (BI) systems. The use of pre-existing university BI systems as reported here can serve as the grounding for an individual, tailored approach to retention strategy rather than an approach built on demographic assessment alone.

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Publication Details

Journal
Nurse Education in Practice
Published
2025-04-25
DOI
https://doi.org/10.1016/j.nepr.2025.104377
Citations
1
Primary Topic
Nursing education and management
Type
article
Field-Weighted Citation Impact
5.41
Controls
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article

A model for predicting student nurse attrition during pre-registration training: A retrospective observations study using routinely collected administrative data

Sarahjane Jones, Robert Lee Cook, Elizabeth Crisp
1 citations
Nurse Education in Practice
Nursing education and management
5.41
article

A model for predicting student nurse attrition during pre-registration training: A retrospective observations study using routinely collected administrative data

Sarahjane Jones, Robert Lee Cook, Elizabeth Crisp
article en
1 citations

Abstract

To our knowledge this is the first study to examine the role of study intermittence on student attrition, or to be built on the pre-existing university business intelligence (BI) systems. The use of pre-existing university BI systems as reported here can serve as the grounding for an individual, tailored approach to retention strategy rather than an approach built on demographic assessment alone.

Nurse Education in PracticeVol. 85
University of Staffordshire (GB)
Zero hunger
Openalex Percentile: Top 8%
Nursing education and management
5.41
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