Hidden land and changing landscape: Narratives about Mount Khangchendzonga among the Lepcha and the Lhopo

This article explores contemporary ‘hidden land’ narrative constructs of Máyel Lyáng and Beyul Dremojong in Sikkim, India, as conceived by the Lepcha and the Lhopo, two ‘scheduled tribes’. Lepcha and Lhopo narratives about these hidden lands in Mount Khangchendzonga inform us about their contemporary and historical, indigenous and Buddhist contexts and the interactions between these contexts. Lhopo perspectives on the hidden Beyul Dremojong echo classical Tibetan Buddhist ‘revealed treasure’ guidebooks and exist within the complex and reciprocal relationship between the Lhopo and the land they inhabit; development initiatives are understood to have caused illness and death in the Lhopo community of Tashiding, often referred to as the geographical ‘center’ of Beyul Dremojong. Contemporary Lepcha comprehensions of Máyel Lyáng, described in oral narratives within an ethnic community whose cosmology is intimately connected with Mount Khangchendzonga, today show some influence of Lhopo interpretations of Beyul Dremojong and the treasure texts; they also reflect Lepcha fears about cultural dispersion. Present-day narratives about both hidden lands reference notable political events in modern Sikkimese history (encounters with the British; the Chinese occupation of Tibet).

Caregiver burden and resilience among Malaysian caregivers of individuals with severe mental illness

Little research has focused on caregiver burden experienced by Malaysian caregivers of individuals with mental illness, despite the fact that data in the Asian region shows almost threequarter of patients with mental illness live with family members. The aim of this research was to examine the levels of caregiver burden and resilience of caregivers of individuals with severe mental illness and to determine the influencing factors on caregiver burden. A quantitative, cross sectional, correlational design was used to measure burden and resilience and to explore the relationship between demographic variables, caregiver stressors, resilience and caregiver burden. This study was guided by the model of Carer Stress and Burden. Data collection was conducted over two months in summer 2014. A self-administered questionnaire that consisted of four sections measuring demographic data, primary stressors, caregiver burden and resilience was used to collect data. Two hundred and one caregivers of individuals with mental illness attending Psychiatric Outpatient Clinics in Malaysia were recruited. Samples were selected using non-probability, consecutive sampling. Factors that were found to be significantly associated with caregiver burden were caregivers’ age, gender, ethnic group, employment status, having a medical condition and current health status. The primary stressors found to be significantly associated with caregiver burden include the time spent for caregiving tasks, unavailability of support with caregiving tasks, lack of emotional support and patients’ behavioural disturbances. In addition, it was found that caregivers who were less resilient reported a higher level of caregiver burden. Findings from hierarchical multiple regression indicated that caregivers’ marital status, current health status, time spent for caregiving and resilience predicted caregiver burden. This research provides insight into caregiver burden among caregivers of individuals with mental illness in Malaysia. It highlights the important factors associated with caregiver burden and the significant role of resilience in reducing caregiver burden.

Irish and Jordanian general student nurses’ attitudes towards people with mental illness (PWMI) and their relationship to cultural and religious beliefs

Background Attitudes held and cultural and religious beliefs of general nursing students towards individuals with mental health problems are key factors that contribute to the quality of care provided. Negative attitudes towards mental illness and to individuals with mental health problems are held by the general public as well as health professionals. Negative attitudes towards people with mental illness have been reported to be associated with low quality of care, poor access to health care services and feelings of exclusion. Furthermore, culture has been reported to play a significant role in shaping people’s attitudes, values, beliefs, and behaviours, but has been poorly investigated. Research has also found that religious beliefs and practices are associated with better recovery for individuals with mental illness and enhanced coping strategies and provide more meaning and purpose to thinking and actions. The literature indicated that both Ireland and Jordan lack baseline data of general nurses’ and general nursing students’ attitudes towards mental illness and associated cultural and religious beliefs. Aims: To measure general nursing students’ attitudes towards individuals with mental illness and their relationships to socio-demographic variables and cultural and religious beliefs. Method: A quantitative descriptive study was conducted (n=470). 185 students in Jordan and 285 students in Ireland participated, with a response rate of 86% and 73%, respectively. Data were collected using the Community Attitudes towards the Mentally Ill instrument and a Cultural and Religious Beliefs Scale to People with Mental Illness constructed by the author. Results: Irish students reported more positive attitudes yet did not have strong cultural and religious beliefs compared to students from Jordan. Country of origin, considering a career in mental health nursing, knowing somebody with mental illness and cultural and religious beliefs were the most significant variables associated with students’ attitudes towards people with mental illness. In addition, students living in urban areas reported more positive attitudes to people with mental illness compared to those living in rural areas.

Issues in the prescribing of psychotropic and psychoactive medication for persons with learning disability: quantitative and qualitative perspectives

The administration of psychotropic and psychoactive medication for persons with learning disability and accompanying mental illness and/or challenging behaviour has undergone much critical review over the past two decades. Assessment and diagnosis of mental illness in this population continues to be psychopharmacological treatment include polypharmacy, irrational prescription procedures and frequent over-prescription. It is clear that all forms of treatment including non-pharmacological interventions need to be driven by accurate and appropriate diagnoses. Where a psychiatric diagnosis has been identified, it greatly aides the selection of appropriate medication, although a specific medication for each diagnosis, as was once hoped, is simply no longer a reality in practice. Part one of the present thesis seeks to address many of the current issues in mental health problems and pharmacological treatment to date. The author undertook a drug prevalence study within both residential and community facilities for persons with learning disability within the Mid-West region of Ireland in order to ascertain the current level of prescribing of psychotropic and psychoactive medications for this population. While many attempts have been made to account for the variation in prescribing, little systematic and empirical research has been undertaken to investigate the factors thought to influence such prescribing. While studies investigating the prescribing behaviours of General Practitioners (GP's) have illustrated the complex nature of the decision making process in the context of general practice, no similar efforts have yet been directed at examining the prescribing behaviours of Consultant Psychiatrists. Using The Critical Incident Technique, the author interviewed Consultant Psychiatrists in the Republic of Ireland to gather information relating not only to their patterns of prescribing for learning disabled populations, but also to examine reasons influencing their prescribing in addition to several related factors. Part two of this thesis presents the findings from this study and a number of issues are raised, not only in relation to attempting to account for the findings from part one of the thesis, but also with respect to implications for improved management and clinical practice.

Artefact detection and removal algorithms for EEG diagnostic systems

The electroencephalogram (EEG) is a medical technology that is used in the monitoring of the brain and in the diagnosis of many neurological illnesses. Although coarse in its precision, the EEG is a non-invasive tool that requires minimal set-up times, and is suitably unobtrusive and mobile to allow continuous monitoring of the patient, either in clinical or domestic environments. Consequently, the EEG is the current tool-of-choice with which to continuously monitor the brain where temporal resolution, ease-of- use and mobility are important. Traditionally, EEG data are examined by a trained clinician who identifies neurological events of interest. However, recent advances in signal processing and machine learning techniques have allowed the automated detection of neurological events for many medical applications. In doing so, the burden of work on the clinician has been significantly reduced, improving the response time to illness, and allowing the relevant medical treatment to be administered within minutes rather than hours. However, as typical EEG signals are of the order of microvolts (μV ), contamination by signals arising from sources other than the brain is frequent. These extra-cerebral sources, known as artefacts, can significantly distort the EEG signal, making its interpretation difficult, and can dramatically disimprove automatic neurological event detection classification performance. This thesis therefore, contributes to the further improvement of auto- mated neurological event detection systems, by identifying some of the major obstacles in deploying these EEG systems in ambulatory and clinical environments so that the EEG technologies can emerge from the laboratory towards real-world settings, where they can have a real-impact on the lives of patients. In this context, the thesis tackles three major problems in EEG monitoring, namely: (i) the problem of head-movement artefacts in ambulatory EEG, (ii) the high numbers of false detections in state-of-the-art, automated, epileptiform activity detection systems and (iii) false detections in state-of-the-art, automated neonatal seizure detection systems. To accomplish this, the thesis employs a wide range of statistical, signal processing and machine learning techniques drawn from mathematics, engineering and computer science. The first body of work outlined in this thesis proposes a system to automatically detect head-movement artefacts in ambulatory EEG and utilises supervised machine learning classifiers to do so. The resulting head-movement artefact detection system is the first of its kind and offers accurate detection of head-movement artefacts in ambulatory EEG. Subsequently, addtional physiological signals, in the form of gyroscopes, are used to detect head-movements and in doing so, bring additional information to the head- movement artefact detection task. A framework for combining EEG and gyroscope signals is then developed, offering improved head-movement arte- fact detection. The artefact detection methods developed for ambulatory EEG are subsequently adapted for use in an automated epileptiform activity detection system. Information from support vector machines classifiers used to detect epileptiform activity is fused with information from artefact-specific detection classifiers in order to significantly reduce the number of false detections in the epileptiform activity detection system. By this means, epileptiform activity detection which compares favourably with other state-of-the-art systems is achieved. Finally, the problem of false detections in automated neonatal seizure detection is approached in an alternative manner; blind source separation techniques, complimented with information from additional physiological signals are used to remove respiration artefact from the EEG. In utilising these methods, some encouraging advances have been made in detecting and removing respiration artefacts from the neonatal EEG, and in doing so, the performance of the underlying diagnostic technology is improved, bringing its deployment in the real-world, clinical domain one step closer.

Realism and national identity in 'Y Tu Mamá También': an audience perspective

When referring to cinema and its emancipatory potential, realism, like Plato’s pharmakon, has signified both illness and cure, poison and medicine. On the one hand, realism is regarded as the main feature of so-called classical cinema, inherently conservative and thoroughly ideological, its main raison d’être being to reify and make a particular version of the status quo believable and to pass it out as ‘reality’ (Burch, 1990; MacCabe, 1974). On the other, realism has also been interpreted as a quest for truth and social justice, as in the positivist ethos that informs documentary (Zavattini, 1953). Even in the latter sense, however, the extent to which realism has served colonizing ends when used to investigate the ‘truth’ of the Other has also been noted, rendering the form profoundly suspicious (Chow, 2007, p. 150). For realism has been a Western form of representation, one that can be traced back to the invention of perspective in painting and that peaked with the secular worldview brought about by the Enlightenment. And like realism, the nation state too is a product of the Enlightenment, nationalism being, as it were, a secular replacement for the religious - that is enchanted or fantastic - worldview. In this way, realism, cinema and nation are inextricably linked, and equally strained under the current decline of the Enlightenment paradigm. This chapter looks at Y tu Mamá También by Alfonso Cuarón (2001), a highly successful road movie with documentary features, to explore the ways in which realism, cinema and nation interact with each other in the present conditions of ‘globalization’ as experienced in Mexico. The chapter compares and contrasts various interpretations of the role of realism in this film put forward by critics and scholars and other discourses about it circulating in the media with actual ways of audience engagement with it.

An exploratory study on the impact of an early years' preschool intervention programme in the Republic of Ireland

Early years’ education has increasingly been identified as a mechanism to alleviate educational disadvantage in areas of social exclusion. Early years’ intervention programmes are now a common government social policy for addressing social problems (Reynolds, Mann, Miedel, and Smokowski, 1997). In particular, state provided early years’ programmes such as Head Start in the United States and Early Start in Ireland have been established to combat educational disadvantage for children experiencing poverty and socio-economic inequality. The focus of this research is on the long-term outcomes of an early years’ intervention programme in Ireland. It aims to assess whether participation in the programme enhances the life course of children at-risk of educational disadvantage. It involves an in-depth analysis of one Early Start project which was included in the original eight projects established by the Department of Education and Science in 1994. The study utilises a multi-group design to provide a detailed analysis of both the academic and social progress of programme participants. It examines programme outcomes from a number of perspectives by collecting the views of the three main stakeholders involved in the education process; students who participated in Early Start in 1994/5, their parents and their teachers. To contribute to understanding the impact of the programme from a community perspective interviews were also conducted with local community educators and other local early years’ services. In general, Early Start was perceived by all participants in this study as making a positive contribution to parent involvement in education and to strengthening educational capital in the local area. The study found that parents and primary school teachers identified aspects of school readiness as the main benefit of participation in Early Start and parents and teachers were very positive about the role of Early Start in preparing children for the transition to formal school. In addition to this, participation in Early Start appears to have made a positive contribution to academic attainment in Maths and Science at Junior Certificate level. Students who had participated in Early Start were also rated more highly by their second level teachers in terms of goal-setting and future orientation which are important factors in educational attainment. Early Start then can be viewed as providing a positive contribution to the long-term social and academic outcomes for its participants.

Self-management education for cystic fibrosis

Background: Self-management education may help patients with cystic fibrosis and their families to choose, monitor and adjust treatment requirements for their illness, and also to manage the effects of illness on their lives. Although self-management education interventions have been developed for cystic fibrosis, no previous systematic review of the evidence of effectiveness of these interventions has been conducted. Objectives: To assess the effects of self-management education interventions on improving health outcomes for patients with cystic fibrosis and their caregivers. Search methods: We searched the Cochrane Cystic Fibrosis and Genetic Disorders Group Trials Register (date of the last search: 22 August 2013). We also searched databases through EBSCO (CINAHL; Psychological and Behavioural Sciences Collection; PsychInfo; SocINDEX) and Elsevier (Embase) and handsearched relevant journals and conference proceedings (date of the last searches: 01 February 2014 ). Selection criteria: Randomised controlled trials, quasi-randomised controlled trials or controlled clinical trials comparing different types of self-management education for cystic fibrosis or comparing self-management education with standard care or no intervention. Data collection and analysis: Two authors assessed trial eligibility and risk of bias. Three authors extracted data. Main results: Four trials (involving a total of 269 participants) were included. The participants were children with cystic fibrosis and their parents or caregivers in three trials and adults with cystic fibrosis in one trial. The trials compared four different self-management education interventions versus standard treatment: (1) a training programme for managing cystic fibrosis in general; (2) education specific to aerosol and airway clearance treatments; (3) disease-specific nutrition education; and (4) general and disease-specific nutrition education. Training children to manage cystic fibrosis in general had no statistically significant effects on weight after six to eight weeks, mean difference -7.74 lb (i.e. 3.51 kg) (95% confidence interval -35.18 to 19.70). General and disease-specific nutrition education for adults had no statistically significant effects on: pulmonary function (forced expiratory volume at one second), mean difference -5.00 % (95% confidence interval -18.10 to 8.10) at six months and mean difference -5.50 % (95% confidence interval -18.46 to 7.46) at 12 months; or weight, mean difference - 0.70 kg (95% confidence interval -6.58 to 5.18) at six months and mean difference -0.70 kg (95% confidence interval -6.62 to 5.22) at 12 months; or dietary fat intake scores, mean difference 1.60 (85% confidence interval -2.90 to 6.10) at six months and mean difference 0.20 (95% confidence interval -4.08 to 4.48) at 12 months. There is some limited evidence to suggest that self-management education may improve knowledge in patients with cystic fibrosis but not in parents or caregivers. There is also some limited evidence to suggest that self-management education may result in positively changing a small number of behaviours in both patients and caregivers. Authors' conclusions: The available evidence from this review is of insufficient quantity and quality to draw any firm conclusions about the effects of self-management education for cystic fibrosis. Further trials are needed to investigate the effects of self-management education on a range of clinical and behavioural outcomes in children, adolescents and adults with cystic fibrosis and their caregivers.

Designing an adaptive salutogenic care environment

Humans are profoundly affected by the surroundings which they inhabit. Environmental psychologists have produced numerous credible theories describing optimal human environments, based on the concept of congruence or “fit” (1, 2). Lack of person/environment fit can lead to stress-related illness and lack of psychosocial well-being (3). Conversely, appropriately designed environments can promote wellness (4) or “salutogenesis” (5). Increasingly, research in the area of Evidence-Based Design, largely concentrated in the area of healthcare architecture, has tended to bear out these theories (6). Patients and long-term care residents, because of injury, illness or physical/ cognitive impairment, are less likely to be able to intervene to modify their immediate environment, unless this is designed specifically to facilitate their particular needs. In the context of care settings, detailed design of personal space therefore takes on enormous significance. MyRoom conceptualises a personalisable room, utilising sensoring and networked computing to enable the environment to respond directly and continuously to the occupant. Bio-signals collected and relayed to the system will actuate application(s) intended to positively influence user well-being. Drawing on the evidence base in relation to therapeutic design interventions (7), real-time changes in ambient lighting, colour, image, etc. respond continuously to the user’s physiological state, optimising congruence. Based on research evidence, consideration is also given to development of an application which uses natural images (8). It is envisaged that actuation will require machine-learning based on interpretation of data gathered by sensors; sensoring arrangements may vary depending on context and end-user. Such interventions aim to reduce inappropriate stress/ provide stimulation, supporting both instrumental and cognitive tasks.