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14 December 2022 | Story André Damons | Photo André Damons
Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health being presented to the acting Chancellor by his supervisor Prof Stephen Brown.

A lecturer from the University of the Free State (UFS) says the need to improve the care of seriously ill children is a vital part of reducing preventable deaths and diseases, and this led him to investigate the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness. The study was done for his PhD thesis. 

This forms the basis for the PhD thesis of Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health, called, The Development and Validation of Predictive Models for Paediatric Critical Illness in Children in Central South Africa using Artificial Neural Networks. His thesis reports the development and testing of several machine learning models designed to help healthcare workers identify seriously ill children early in a range of resource-limited settings. Combining a systematic literature search and Delphi technique with clinical data from 1 032 participants, this research led to significant progress towards implementable models for community health workers in clinical practice.

Care for critically ill children is a mission and calling 

Dr Pienaar graduated with a PhD specialising in Paediatrics on Monday (12 December) during the Faculty of Health Sciences’ December graduation ceremony. It took him three years to complete this degree. His supervisor was Prof Stephen Brown, Principal Specialist and Head of the Division of Paediatric Cardiology in the Department of Paediatrics and Child Health in the Faculty of Health Sciences at the UFS. Prof Nicolaas Luwes and Dr EC George were his co-supervisors. 

“I have been working in paediatric critical care since 2019 and see the care of critically ill children as my mission and calling in life. At the outset of the project, I was interested in approaches to complex phenomena and wanted to investigate new methods for tackling these in healthcare. 

“I have been interested in technology since childhood and in collaborating with other disciplines since I joined the university in 2019. Machine learning seemed like a great fit that could incorporate these interests and yield meaningful clinical results,” explains Dr Pienaar the reason why he chose this topic for his thesis.

He hopes that, in time, this work will lead to the implementation of integrated machine learning models to improve care and clinical outcomes for children in South Africa. From a scholarship perspective, he continues, his hope is that this work draws interest to this field in clinical research and encourages a move towards incorporating these new methods, as well as skills in areas such as coding and design in the armamentarium of a new generation of clinicians.

Medicine chooses you

According to Dr Pienaar, he always had broad interests, of which medicine is one. “I am very grateful to have found my way in medicine and am humbled and privileged to be allowed to walk with children and their families on a difficult and important journey. I believe this profession will choose you and put you where you are needed if you give it time and are prepared to listen.”

He describes graduating as a complicated ending to this period of his life and the beginning of a next chapter. He was humbled by the graduation ceremony. 

“It was wonderful to graduate with undergraduates and postgraduates in my profession – I felt great pride and solidarity joining these new colleagues and specialists in taking the oath. I am certainly relieved, proud, excited, and happy. I am also very grateful to the university, my promotors, colleagues, friends, and family for supporting me through this process. I must confess, it is also slightly bittersweet, I loved working on this and do miss it, but look forward to the next exciting project. 

“I would like to thank my Head of Department, Dr (Nomakhuwa) Tabane, my supervisors, my family and friends once again. I would also like to acknowledge and thank the National Research Foundation (NRF) as well as the University of the Free State for their assistance with funding this research.”

News Archive

Higher than expected prevalence of dementia in South African urban black population
2010-09-22

 Prof. Malan Heyns and Mr Rikus van der Poel

Pilot research done by University of the Free State (UFS) indicates that the prevalence of dementia, of which Alzheimer’s disease is only one of the causes, is considerably higher than initially estimated. Clinical tests are now underway to confirm these preliminary findings.

To date it has been incorrectly assumed that dementia is less prevalent among urban black communities. This assumption is strongly disputed by the findings of the current study, which indicates a preliminary prevalence rate of approximately 6% for adults aged 65 years and older in this population group. Previous estimates for Southern Africa have been set at around 2,1%.

The research by the Unit for Professional Training and Services in the Behavioural Sciences (UNIBS) at the UFS and Alzheimer’s South Africa is part of the International 10/66 Dementia Research Group’s (10/66 DRG) initiative to establish the prevalence of dementia worldwide.

Mr Rikus van der Poel, coordinator of the local study, and Prof. Malan Heyns, Principal Investigator, say worldwide 66% of people with dementia live in low and middle income countries. It is expected that it will rise to more than 70% by 2040, and the socio-economic impact of dementia will increase accordingly within this period. 21 September marks World Alzheimer’s Day, and this year the focus is on the global economic impact of dementia. Currently, the world wide cost of dementia exceeds 1% of the total global GDP. If the global cost associated with dementia care was a company, it would be larger than Exxon-Mobil or Wal-Mart.

The researchers also say that of great concern is the fact that South Africa’s public healthcare system is essentially geared toward addressing primary healthcare needs, such as HIV/Aids and tuberculosis. The adult prevalence rate of HIV was 18,1% in 2007. According to UNAIDS figures more than 5,7 million people in South Africa are living with HIV/Aids, with an estimated annual mortality of 300 000. In many instances the deceased are young parents, with the result that the burden of childcare falls back on the elderly, and in many cases elderly grandparents suffering from dementia are left without children to take care of them. “These are but a few reasons that highlight the need for advocacy and awareness regarding dementia and care giving in a growing and increasingly urbanized population,” they say.

Low and middle income countries often lack epidemiological data to provide representative estimates of the regional prevalence of dementia. In general, epidemiological studies are challenging and expensive, especially in multi-cultural environments where the application of research protocols relies heavily on accurate language translations and successfully negotiated community access. Despite these challenges, the local researchers are keen to support advocacy and have joined the international effort to establish the prevalence of dementia through the 10/66 DRG.

The 10/66 DRG is a collective of researchers carrying out population-based research into dementia, non-communicable diseases and ageing in low and middle income countries. 10/66 refers to the two-thirds (66%) of people with dementia living in low and middle income countries, and the 10% or less of population-based research that has been carried out in those regions.

Since its inception in 1998, the 10/66 DRG has conducted population based surveys in 14 catchment areas in ten low and middle income countries, with a specific focus on the prevalence and impact of dementia. South Africa is one of seven LAMICs (low and medium income countries) where new studies have been conducted recently, the others being Puerto Rico, Peru, Mexico, Argentina, China and India.

Mr Van der Poel says participating researchers endeavour to conduct cross-sectional, comprehensive, one-phase surveys of all residents aged 65 and older within a geographically defined area. All centres share the same core minimum dataset with cross-culturally validated assessments (dementia diagnosis and subtypes, mental disorders, physical health, anthropometry, demographics, extensive non-communicable risk factor questionnaires, disability/functioning, health service utilization and caregiver strain).

The local pilot study, funded by Alzheimer’s South Africa, was rolled out through an existing community partnership, the Mangaung University of the Free State Community Partnership Programme (MUCPP).

According to Mr Van der Poel and Prof. Heyns, valuable insights have been gained into the myriad factors at play in establishing an epidemiological research project. The local community has responded positively and the pilot phase in and of itself has managed to promote awareness of the condition. The study has also managed to identify traditional and culture-specific views of dementia and dementia care. In addition, existing community-based networks are being strengthened, since part of the protocol will include the training and development of family caregivers within the local community in Mangaung.

“Like most developing economies, the South African population will experience continued urbanization during the next two decades, along with increased life expectancy. Community-based and residential care facilities for dementia are few and far between and government spending will in all probability continue to address the high demands associated with primary healthcare needs. These are only some of the reasons why epidemiological and related research is an important tool for assisting lobbyists, advocates and policymakers in promoting better care for those affected by dementia.”

Media Release
Issued by: Mangaliso Radebe
Assistant Director: Media Liaison
Tel: 051 401 2828
Cell: 078 460 3320
E-mail: radebemt@ufs.ac.za  
21 September 2010

 

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