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Background: Mechanical restraint refers to the use of materials or devices to restrict the behaviours of a person with a disability, where the restraint is neither for therapeutic purposes or required by law. The inappropriate use of mechanical restraint is recognised in legislation and policy as a violation of people's human rights, and a risk to their health and wellbeing. Understanding who is at risk of mechanical restraint may assist service providers to better support people with a disability. Method: State-wide data collected between July 2012 to June 2013 were sourced. Odds ratios were used to describe the associations between individual characteristics and whether an individual was subjected to mechanical restraint. Results: Individuals with certain characteristics, such as the presence of a hearing, physical, neurological, communication or visual impairment, and autism spectrum disorder had an increased likelihood of being mechanically restrained. Conclusion: Initiatives to reduce mechanical restraint should pay particular attention to the support needs of those with sensory impairments and complex communication support needs including those with autism spectrum disorder and those with a physical impairment.

Motivation Topological methods have recently emerged as a reliable and interpretable framework for extracting information from high-dimensional data, leading to the creation of a branch of applied mathematics called Topological Data Analysis (TDA). Since then, TDA has been progressively adopted in biomedical research. Biological data collection can result in enormous datasets, comprising thousands of features and spanning diverse datatypes. This presents a barrier to initial data analysis as the fundamental structure of the dataset becomes hidden, obstructing the discovery of important features and patterns. TDA provides a solution to obtain the underlying shape of datasets over continuous resolutions, corresponding to key topological features independent of noise. TDA has the potential to support future developments in healthcare as biomedical datasets rise in complexity and dimensionality. Previous applications extend across the fields of neuroscience, oncology, immunology and medical image analysis. TDA has been used to reveal hidden subgroups of cancer patients, construct organizational maps of brain activity and classify abnormal patterns in medical images. The utility of TDA is broad and to understand where current achievements lie, we have evaluated the present state of TDA in cancer data analysis. Results This article aims to provide an overview of TDA in Cancer Research. A brief introduction to the main concepts of TDA is provided to ensure that the article is accessible to readers who are not familiar with this field. Following this, a focussed literature review on the field is presented, discussing how TDA has been applied across heterogeneous datatypes for cancer research. [ABSTRACT FROM AUTHOR]

Background: Mechanical restraint refers to the use of materials or devices to restrict the behaviours of a person with a disability, where the restraint is neither for therapeutic purposes or required by law. The inappropriate use of mechanical restraint is recognised in legislation and policy as a violation of people's human rights, and a risk to their health and wellbeing. Understanding who is at risk of mechanical restraint may assist service providers to better support people with a disability. Method: State-wide data collected between July 2012 to June 2013 were sourced. Odds ratios were used to describe the associations between individual characteristics and whether an individual was subjected to mechanical restraint. Results: Individuals with certain characteristics, such as the presence of a hearing, physical, neurological, communication or visual impairment, and autism spectrum disorder had an increased likelihood of being mechanically restrained. Conclusion: Initiatives to reduce mechanical restraint should pay particular attention to the support needs of those with sensory impairments and complex communication support needs including those with autism spectrum disorder and those with a physical impairment. [ABSTRACT FROM AUTHOR]