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Capacitating students to navigate their mental health journey

16 October 2023 | Story Michelle Nöthling | Photo iStock

Commemorating World Mental Health Month 2023 — The mental health of university students is of growing global concern.

One of the largest student mental health surveys in the world – initiated by Universities South Africa (USAf) in 2020 – found that up to 20% of university students in South Africa need mental health support. The research results also show that up to 77% of students with mental health disorders are not getting help. Contributing reasons include reluctance to seek help due to lingering stigma surrounding mental health, but also limited access. With growing demand and limited capacity, one-on-one therapy does not seem to be a sustainable solution. Some of the recommendations that stem from the report are to introduce a range of digitally based self-help interventions, to provide psychoeducation about when to access help, and to offer peer-to-peer support. This is precisely what the University of the Free State (UFS) Department of Student Counselling and Development (SCD) is now implementing.

Coinciding with World Mental Health Awareness Month, SCD’s Road Map embodies a paradigm shift in student mental health support. “We want to capacitate students on their mental health journey. Following the Road Map, our students are now able to be active agents in their mental well-being,” says Dr Munita Dunn-Coetzee, SCD Director.

What exactly is this Road Map?

The SCD Road Map guides students to multiple sources of support. On the SCD website, students can delve into a wealth of self-help guides and toolkits that range from academic, emotional, and social well-being to personal challenges and psychological distress. In a commitment to expand the SCD reach beyond one-on-one sessions, the department is offering both in-person and online workshops and development programmes that can be accessed through Blackboard. Additionally, podcasts have been integrated into the SCD offerings to accommodate students' varying schedules and data constraints.

SCD has also partnered with the South African Depression and Anxiety Group (SADAG) to provide a 24/7 toll-free UFS Student Careline. The Careline can be reached in three ways: by calling 0800 00 6363, SMSing 43302, or emailing helpline@sadag.org. In a crisis, help is immediately activated, and assistance is sent to the student.

Another exciting aspect of SCD's Road Map¬ – which further integrates recommendations from the research report – is the shift from individual-centric interventions to group-based support. “We want to expand beyond individual therapy,” Dr Dunn-Coetzee says. “Although one-on-one therapy has an important place in mental health support, we are currently expanding to offer various support groups.” Through these circles of support, SCD aims to foster a culture of mutual learning, peer-to-peer connection, and collective well-being.

The Road Map therefore enables SCD to pivot toward a capacitating approach, equipping students to navigate their mental health journey in a truly collaborative model.

News Archive

Mathematical methods used to detect and classify breast cancer masses

2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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