Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

How can the new Predictive Analytic Dashboard better enable us to support our students’ mental health and wellbeing?

Newby, Kate and Lee, Amanda (2023) How can the new Predictive Analytic Dashboard better enable us to support our students’ mental health and wellbeing? In: University of Sunderland Mental Health and Wellbeing Conference, 15 Nov 2023, University of Sunderland.

Item Type: Conference or Workshop Item (Speech)


Our students are going through one of the most challenging periods of their lives, compounded by the after-effects of a global pandemic, a cost-of-living crisis and international uncertainty. Therefore, understanding the issues facing our students and getting them access to support as quickly and efficiently as possible is paramount.
The Predictive Analytic Dashboard (PAD) is a newly developed system highlighting students potentially at risk of withdrawing from their programme and is in the process of being rolled out to all Personal Academic Tutors (PAT), with staff becoming more familiar with its role and function over time. As part of the piloting of the PAD, we are undertaking a qualitative project funded by Health Education England, interviewing a range of students in the pre-registration BSc Nursing programmes highlighted as ‘red risk’ by the PAD. This was to firstly ascertain the reliability of the PAD, but also to delve into the reasons behind their being flagged as ‘red risk’. The insights from the students can then be used to further enhance the precision of the PAD.
PATs have a crucial role to play in a student’s journey and the success that they achieve. This exploration via the PAD has helped to ascertain some of the barriers to accessing support as well as some examples of good practice. Future PAD developments aim to highlight the most at-risk students allowing for rapid intervention and to safeguard their mental health and wellbeing.

Full text not available from this repository.

More Information

Depositing User: Amanda Lee


Item ID: 17030

Users with ORCIDS

ORCID for Kate Newby: ORCID iD
ORCID for Amanda Lee: ORCID iD

Catalogue record

Date Deposited: 28 Nov 2023 11:28
Last Modified: 28 Nov 2023 11:28


Author: Kate Newby ORCID iD
Author: Amanda Lee ORCID iD

University Divisions

Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences


Education > Higher Education
Sciences > Nursing

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)