PROMOTING PARTNERSHIP FOR HEALTH This book forms part of a series entitled Promoting Partnership for Health publishedin association with the UK Centre for the Advancement of Interprofessional ...Education (CAIPE). The series explores partnership for health from policy, practice and educational perspectives. Whilst strongly advocating the imperative driving collaboration in healthcare, it adopts a pragmatic approach. Far from accepting established ideas and approaches, the series alerts readers to the pitfalls and ways to avoid them. DESCRIPTION Interprofessional Teamwork for Health and Social Care is an invaluable guide for clinicians, academics, managers and policymakers who need to understand, implement and evaluate interprofessional teamwork. It will give them a fuller understanding of how teams function, of the issues relating to the evaluation of teamwork, and of approaches to creating and implementing interventions (e.g. team training, quality improvement initiatives) within health and social care settings. It will also raise awareness of the wide range of theories that can inform interprofessional teamwork. The book is divided into nine chapters. The first 'sets the scene' by outlining some common issues which underpin interprofessional teamwork, while the second discusses current teamwork developments around the globe. Chapter 3 explores a range of team concepts, and Chapter 4 offers a new framework for understanding interprofessional teamwork. The next three chapters discuss how a range of range of social science theories, interventions and evaluation approaches can be employed to advance this field. Chapter 8 presents a synthesis of research into teams the authors have undertaken in Canada, South Africa and the UK, while the final chapter draws together key threads and offers ideas for future of teamwork. The book also provides a range of resources for designing, implementing and evaluating interprofessional teamwork activities.
Social workers frequently encounter clients with a history of trauma. Trauma-informed care is a way of providing services by which social workers recognize the prevalence of early adversity in the ...lives of clients, view presenting problems as symptoms of maladaptive coping, and understand how early trauma shapes a client's fundamental beliefs about the world and affects his or her psychosocial functioning across the life span. Trauma-informed social work incorporates core principles of safety, trust, collaboration, choice, and empowerment and delivers services in a manner that avoids inadvertently repeating unhealthy interpersonal dynamics in the helping relationship. Trauma-informed social work can be integrated into all sorts of existing models of evidence-based services across populations and agency settings, can strengthen the therapeutic alliance, and facilitates posttraumatic growth.
This article develops a model of practice-driven institutional change—or change that originates in the everyday work of individuals but results in a shift in field-level logic. In demonstrating how ...improvisations at work can generate institutional change, we attend to the earliest moments of change, which extant research has neglected; and we contrast existing accounts that focus on active entrepreneurship and the contested nature of change. We outline the specific mechanisms by which change emerges from everyday work, becomes justified, and diffuses within an organization and field, as well as precipitating and enabling dynamics that trigger and condition these mechanisms.
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific fields owing to their wide range of applications. In particular, the provision of emergency services ...during the occurrence of a crisis event is a vital application domain where such aerial robots can contribute, sending out valuable assistance to both distressed humans and rescue teams. Bearing in mind that time constraints constitute a crucial parameter in search and rescue (SAR) missions, the punctual and precise detection of humans in peril is of paramount importance. The paper in hand deals with real-time human detection onboard a fully autonomous rescue UAV. Using deep learning techniques, the implemented embedded system was capable of detecting open water swimmers. This allowed the UAV to provide assistance accurately in a fully unsupervised manner, thus enhancing first responder operational capabilities. The novelty of the proposed system is the combination of global navigation satellite system (GNSS) techniques and computer vision algorithms for both precise human detection and rescue apparatus release. Details about hardware configuration as well as the system's performance evaluation are fully discussed.
Purpose: The manufacturing industry has been at the cutting-edge of technology advancements, which has improved quality and profoundly altered work practises. Technology disruptions are redefining ...work practices, resulting in innovation and creativity driving higher productivity and performance. Man-machine collaboration is profoundly strengthening manufacturing, increasing product quality and safety features. Robots, Cobots working alongside the shopfloor act as a substitute human workforce, increasing productivity and performance Theoretical framework: Multiple theories support employee turnover studies and the job embeddedness theory suits this study the most. JE theory clearly states that employees who feel connected to the social and professional phase within the organization are less likely to leave. Likewise, motivated and up skilled employees will tend to have better QOL and QWL. Design/methodology/approach: The study was conducted over three months in the automobile industry, and the design adopted a mixed method approach; primary evidence was collected from the field as an interview method, and also various scholarly evidence collaborated with our study. The research design is descriptive and deductive in nature. The methodology used in the research paved the way to answer the critical research question with the help of a theory. Findings: Adapting to new work practices results in changes to job design as employers optimize their workforces to meet the demands of the latest techniques. Implementing disruptive technologies can improve the efficiency, safety, and fulfilment of the workplace in the automobile industry. The new-age practices driven by disruptive technologies enhance skill development, productivity, and employee engagement Research, practical & social implications: Disruptive technologies are improving the safety and quality parameters. Organizations focusing on employees' up skilling based on learning preferences and learning styles tremendously impact productivity, motivation, and morale, enhancing job satisfaction and employee retention. Originality/value: Data collected from the field interactions derived the factual position which was tested using various statistical tool to ensure reliability and validity. Findings added to the body of knowledge further.
Thousands of people are reported lost in the wilderness in the United States every year and locating these missing individuals as rapidly as possible depends on coordinated search and rescue (SAR) ...operations. As time passes, the search area grows, survival rate decreases, and searchers are faced with an increasingly daunting task of searching large areas in a short amount of time. To optimize the search process, mathematical models of lost person behavior with respect to landscape can be used in conjunction with current SAR practices. In this paper, we introduce an agent-based model of lost person behavior which allows agents to move on known landscapes with behavior defined as independent realizations of a random variable. The behavior random variable selects from a distribution of six known lost person reorientation strategies to simulate the agent's trajectory. We systematically simulate a range of possible behavior distributions and find a best-fit behavioral profile for a hiker with the International Search and Rescue Incident Database. We validate these results with a leave-one-out analysis. This work represents the first time-discrete model of lost person dynamics validated with data from real SAR incidents and has the potential to improve current methods for wilderness SAR.
One approach being developed in diverse national contexts is social prescribing--a term used in England to describe the process of connecting patients with nonmedical services to improve their health ...and well-being. Though the U.S. and England have very different healthcare systems and levels of social services spending, both countries are increasingly experimenting with social prescribing as a way to address patients' social needs in clinical settings. Models that reward outcomes of care rather than just provision of services offer greater incentives for providers to respond to the social factors that impact health.
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