Enhancing employment services for people with severe mental illness: the challenge of the Australian service environment

Objectives:  Comparatively few people with severe mental illness are employed despite evidence that many people within this group wish to obtain, can obtain and sustain employment, and that employment can contribute to recovery. This investigation aimed to: (i) describe the current policy and service environment within which people with severe mental illness receive employment services; (ii) identify evidence-based practices that improve employment outcomes for people with severe mental illness; (iii) determine the extent to which the current Australian policy environment is consistent with the implementation of evidence-based employment services for people with severe mental illness; and (iv) identify methods and priorities for enhancing employment services for Australians with severe mental illness through implementation of evidence-based practices. Method:  Current Australian practices were identified, having reference to policy and legal documents, funding body requirements and anecdotal reports. Evidence-based employment services for people with severe mental illness were identified through examination of published reviews and the results of recent controlled trials. Results:  Current policy settings support the provision of employment services for people with severe mental illness separate from clinical services. Recent studies have identified integration of clinical and employment services as a major factor in the effectiveness of employment services. This is usually achieved through co-location of employment and mental health services. Conclusions:  Optimal evidence-based employment services are needed by Australians with severe mental illness. Providing optimal services is a challenge in the current policy environment. Service integration may be achieved through enhanced intersectoral links between employment and mental health service providers as well as by co-locating employment specialists within a mental health care setting.

Using participatory action research in a community-based initiative addressing complex mental health needs

Objective: This paper describes the first phase of a larger project that utilizes participatory action research to examine complex mental health needs across an extensive group of stakeholders in the community. Method: Within an objective qualitative analysis of focus group discussions the social ecological model is utilized to explore how integrative activities can be informed, planned and implemented across multiple elements and levels of a system. Seventy-one primary care workers, managers, policy-makers, consumers and carers from across the southern metropolitan and Gippsland regions of Victoria, Australia took part in seven focus groups. All groups responded to an identical set of focusing questions. Results: Participants produced an explanatory model describing the service system, as it relates to people with complex needs, across the levels of social ecological analysis. Qualitative themes analysis identified four priority areas to be addressed in order to improve the system's capacity for working with complexity. These included: (i) system fragmentation; (ii) integrative case management practices; (iii) community attitudes; and (iv) money and resources. Conclusions: The emergent themes provide clues as to how complexity is constructed and interpreted across the system of involved agencies and interest groups. The implications these findings have for the development and evaluation of this community capacity-building project were examined from the perspective of constructing interventions that address both top-down and bottom-up processes.

Caregiving attachment in mothers with schizophrenia: Child and Youth Mental Health Service, Mater Misericordiae Health Services, South Brisbane, Australia

The assessment of parenting capacity and appropriate provision of services to assist parents with mental illness requires improved understanding of how a mental illness may affect the parent-child relationship. Mothers with mental illness may be defensive when providing self-report accounts of their parenting. Within the framework of attachment theory, this study developed a methodology for investigating the quality and characteristics of caregiving through exploration of the mothers' perceptions and strategies in managing her child at bedtime. Utilising questions derived from caregiving attachment research, five mothers with schizophrenia participated in a semi-structured interview concerning bedtime separation. In addition the mothers completed a modified standardised measure of attachment style, the Parent Bonding Instrument, to provide information regarding how they perceived their parenting style. The mothers demonstrated very poor understanding of their child's bedtime anxiety. They described difficulty being effective with bedtime strategies and attributed it to medication-induced fatigue. The interview data contrasted significantly with the Parent Bonding Instrument data in which the mothers did not identify concerns in themselves as caregivers. This study demonstrated the feasibility of a novel approach to gathering information regarding parenting from mothers with a diagnosis of schizophrenia.

Occupational Therapy and Clinical Research in Mental Health Rehabilitation

Practitioners working in Australian mental health services are faced with the challenge of providing appropriate evidence-based interventions that lead to measurable improvement and good outcomes. Current government policy is committed to the development of strategic mental health research. One focus has been on under-researched practice areas, which include the development of psychosocial rehabilitation systems and models that facilitate recovery. To meet this challenge, an Australian rehabilitation service formed a collaborative partnership with a university. The purposes of the collaboration were to implement new forms of service delivery based on consumer need and evidence and to design research projects to evaluate components of the rehabilitation programme. This article examines the process of developing the collaboration and provides examples of how research projects have been used to inform practice and improve the effectiveness of service delivery. Challenges to the sustainability of this kind of collaboration are considered.

Sources of stress experienced by occupational therapists and social workers in mental health settings

This study examined the sources of stress experienced by occupational therapists and social workers employed in Australian public mental health services and identified the demographic and work-related factors related to stress using a cross-sectional survey design. Participants provided demographic and work-related information and completed the Mental Health Professionals Stress Scale. The overall response rate to the survey was 76.6%, consisting of 196 occupational therapists and 108 social workers. Results indicated that lack of resources, relationships and conflicts with other professionals, workload, and professional self-doubt were correlated with increased stress. Working in case management was associated with stress caused by client-related difficulties, lack of resources, and professional self-doubt. The results of this study suggest that Australian occupational therapists and social workers experience stress, with social workers reporting slightly more overall stress than occupational therapists.

Cyberbullying : a threat to student mental health and wellbeing

Cyberbullying is a threat to student mental health and wellbeing. As predicted the consequences of cyberbullying have been shown to be more detrimental to students than traditional bullying because of the wider audience and the 24/7 nature of this form of bullying. It is becoming an increasingly vexatious problem for victims, students who bully, educators and parents. Parents and the community are turning to schools to provide preventative strategies and to manage incidents of cyberbullying. Some sections of the community believe there is a technological solution to the problem, or that the law should be overhauled to address the problem more effectively. However, bullying is a deeply embedded social relationship problem, of which cyberbullying is one form. Therefore, planned prevention and intervention strategies need to be considered in the context of the social relationships in the whole school community.

Self-Government and the fashioning of resilient personae : legal education, criminal justice, and the government of mental health

This paper explores attempts to shape resilient personae through relations of self-government, and highlights the way that this features as part of advanced liberal forms of rule. As an example of this process, it focuses on the way that undergraduate law students are encouraged to fashion resilient personae throughout their legal studies, so as to avoid, or effectively respond to, experiences that may have a detrimental effect on their mental health. This paper argues that the production of such resilience relies on students being encouraged to take up psychologically- and biomedically-infused subject positions, becoming well-disciplined subjects, entrepreneurs of the self, and even virtuous persons. It highlights that the fashioning of resilient personae in this way involves extensions to the targets and practices of self-government and reinforces advanced liberal government. The paper then suggests how insights into fashioning resilience in this context can inform further research on resilience, particularly resilience produced within criminal justice professionals.

Evaluating automatic road detection across a large aerial imagery collection

The automated extraction of roads from aerial imagery can be of value for tasks including mapping, surveillance and change detection. Unfortunately, there are no public databases or standard evaluation protocols for evaluating these techniques. Many techniques are further hindered by a reliance on manual initialisation, making large scale application of the techniques impractical. In this paper, we present a public database and evaluation protocol for the evaluation of road extraction algorithms, and propose an improved automatic seed finding technique to initialise road extraction, based on a combination of geometric and colour features.

Planning most-likely paths from overhead imagery

This paper is about planning paths from overhead imagery, the novelty of which is taking explicit account of uncertainty in terrain classification and spatial variation in terrain cost. The image is first classified using a multi-class Gaussian Process Classifier which provides probabilities of class membership at each location in the image. The probability of class membership at a particular grid location is then combined with a terrain cost evaluated at that location using a spatial Gaussian process. The resulting cost function is, in turn, passed to a planner. This allows both the uncertainty in terrain classification and spatial variations in terrain costs to be incorporated into the planned path. Because the cost of traversing a grid cell is now a probability density rather than a single scalar value, we can produce not only the most-likely shortest path between points on the map, but also sample from the cost map to produce a distribution of paths between the points. Results are shown in the form of planned paths over aerial maps, these paths are shown to vary in response to local variations in terrain cost.

The impact of mental health literacy on help-seeking intentions : results of a pilot study with first year psychology students

Although mental health literacy has been proposed as a factor that may facilitate help-seeking, few studies have examined this relation. This pilot study aimed to investigate the relation between mental health literacy and help-seeking intentions, and to explore which components of mental health literacy may be best able to predict help-seeking intentions. An online questionnaire was completed by a convenience sample of 150 university students enrolled in a psychology unit, aged between 17 and 26 years. A simultaneous multiple regression indicated that higher levels of mental health literacy were able to predict greater intentions to seek help from professional sources. A number of mental health literacy components made a unique and significant contribution to the prediction of help-seeking intentions. The findings of this pilot study indicate that the role of mental health literacy in facilitating help-seeking is a promising area of research.

An integrated approach for precise road reconstruction from aerial imagery and LiDAR data

Accurate and detailed road models play an important role in a number of geospatial applications, such as infrastructure planning, traffic monitoring, and driver assistance systems. In this thesis, an integrated approach for the automatic extraction of precise road features from high resolution aerial images and LiDAR point clouds is presented. A framework of road information modeling has been proposed, for rural and urban scenarios respectively, and an integrated system has been developed to deal with road feature extraction using image and LiDAR analysis. For road extraction in rural regions, a hierarchical image analysis is first performed to maximize the exploitation of road characteristics in different resolutions. The rough locations and directions of roads are provided by the road centerlines detected in low resolution images, both of which can be further employed to facilitate the road information generation in high resolution images. The histogram thresholding method is then chosen to classify road details in high resolution images, where color space transformation is used for data preparation. After the road surface detection, anisotropic Gaussian and Gabor filters are employed to enhance road pavement markings while constraining other ground objects, such as vegetation and houses. Afterwards, pavement markings are obtained from the filtered image using the Otsu's clustering method. The final road model is generated by superimposing the lane markings on the road surfaces, where the digital terrain model (DTM) produced by LiDAR data can also be combined to obtain the 3D road model. As the extraction of roads in urban areas is greatly affected by buildings, shadows, vehicles, and parking lots, we combine high resolution aerial images and dense LiDAR data to fully exploit the precise spectral and horizontal spatial resolution of aerial images and the accurate vertical information provided by airborne LiDAR. Objectoriented image analysis methods are employed to process the feature classiffcation and road detection in aerial images. In this process, we first utilize an adaptive mean shift (MS) segmentation algorithm to segment the original images into meaningful object-oriented clusters. Then the support vector machine (SVM) algorithm is further applied on the MS segmented image to extract road objects. Road surface detected in LiDAR intensity images is taken as a mask to remove the effects of shadows and trees. In addition, normalized DSM (nDSM) obtained from LiDAR is employed to filter out other above-ground objects, such as buildings and vehicles. The proposed road extraction approaches are tested using rural and urban datasets respectively. The rural road extraction method is performed using pan-sharpened aerial images of the Bruce Highway, Gympie, Queensland. The road extraction algorithm for urban regions is tested using the datasets of Bundaberg, which combine aerial imagery and LiDAR data. Quantitative evaluation of the extracted road information for both datasets has been carried out. The experiments and the evaluation results using Gympie datasets show that more than 96% of the road surfaces and over 90% of the lane markings are accurately reconstructed, and the false alarm rates for road surfaces and lane markings are below 3% and 2% respectively. For the urban test sites of Bundaberg, more than 93% of the road surface is correctly reconstructed, and the mis-detection rate is below 10%.

Diagnosed artist : what is the understanding of 'artist' held by a person with a mental illness?

What is the understanding of ‘artist’ held by a person with a mental illness? Being diagnosed with a mental illness often results in social isolation. Art programs are often used to address this isolation, and to expedite positive mental health and wellbeing. In these programs the cultural value of art can be moderated and replaced with therapeutic meanings or used for purposes of community integration. Some individuals develop artistic identities within these programs. These artists personify representative tensions within the art world. Artists with mental illness are symbolically positioned within the history of art as holding special creative providence and, yet are also viewed as having a peripheral position outside the cultural framework of the art world. This research engaged with eight artists to determine the understanding of artist held by a person with a mental illness. Through shared activities around the curatorial aspects of an exhibition entitled "Artist Citizen" the impact of illness, culture and alterity were examined. Overlapping approaches of Community Cultural Development and Participatory Action Research have been used. A perspective of alterity is given which was apparent in transformative processes of the research. This thesis shows that alterity and difference are both important social resources as well as positions of isolation and discrimination. Finally, conclusions are presented that indicated that a more nuanced understanding of alterity offers potential to discussions of the complex experiences of a person with a mental illness to negotiate subjective constructions of an identity for participation in broader political, social, health and cultural contexts.

Clinical utility of mental state screening as a predictor of intellectual outcomes 6 months after diagnosis of type 1 diabetes

Background Screening tests of basic cognitive status or ‘mental state’ have been shown to predict mortality and functional outcomes in adults. This study examined the relationship between mental state and outcomes in children with type 1 diabetes. Objective We aimed to determine whether mental state at diagnosis predicts longer term cognitive function of children with a new diagnosis of type 1 diabetes. Methods Mental state of 87 patients presenting with newly diagnosed type 1 diabetes was assessed using the School-Years Screening Test for the Evaluation of Mental Status. Cognitive abilities were assessed 1 wk and 6 months postdiagnosis using standardized tests of attention, memory, and intelligence. Results Thirty-seven children (42.5%) had reduced mental state at diagnosis. Children with impaired mental state had poorer attention and memory in the week following diagnosis, and, after controlling for possible confounding factors, significantly lower IQ at 6 months compared to those with unimpaired mental state (p < 0.05). Conclusions Cognition is impaired acutely in a significant number of children presenting with newly diagnosed type 1 diabetes. Mental state screening is an effective method of identifying children at risk of ongoing cognitive difficulties in the days and months following diagnosis. Clinicians may consider mental state screening for all newly diagnosed diabetic children to identify those at risk of cognitive sequelae.