Medicines are the most common form of treatment for those with mental health problems worldwide. Medicines Management in Mental Health Care is the first detailed evidence-based medicines management text for mental health practitioners in the UK.
Medicines Management in Mental Health Care is divided into two parts. Part one provides mental health nurses and other mental health workers with a detailed understanding of the evidence-base for medicines management covering subjects including psychotropic medication and co-morbidity. Part two addresses the practical implications for clinical practice and provides vital guidance on prescribing and medicines management, working with service users, treatment adherence, evaluation skills and problem solving as well as specific advice relating to the realities of practice.
Medicines Management in Mental Health Care is an essential resource for mental health nurses and mental health practitioners.
o Discusses evidence-based interventions
o Outlines the main types of medicines offered
o Discusses co-morbidity
o Outlines a model of medicines management
o Discusses good prescribing practice
NEXT GENERATION HALT AND HASS ROBUST DESIGN OF ELECTRONICS AND SYSTEMS A NEW APPROACH TO DISCOVERING AND CORRECTING SYSTEMS RELIABILITY RISKS Next Generation HALT and HASS presents a major paradigm shift from reliability prediction-based methods to discovery of electronic systems reliability risks. This is achieved by integrating highly accelerated life test (HALT) and highly accelerated stress screen (HASS) into a physics of failure based robust product and process development methodology. The new methodologies challenge misleading and sometimes costly misapplication of probabilistic failure prediction methods (FPM) and provide a new deterministic map for reliability development. The authors clearly explain the new approach with a logical progression of problem statement and solutions. The book helps engineers employ HALT and HASS by demonstrating why the misleading assumptions used for FPM are invalid. Next, the application of HALT and HASS empirical discovery methods to quickly find unreliable elements in electronics systems gives readers practical insight into the techniques. The physics of HALT and HASS methodologies are highlighted, illustrating how they uncover and isolate software failures due to hardware-software interactions in digital systems. The use of empirical operational stress limits for the development of future tools and reliability discriminators is described. Key features: Provides a clear basis for moving from statistical reliability prediction models to practical methods of insuring and improving reliability. Challenges existing failure prediction methodologies by highlighting their limitations using real field data. Explains a practical approach to why and how HALT and HASS are applied to electronics and electromechanical systems. Presents opportunities to develop reliability test discriminators for prognostics using empirical stress limits. Guides engineers and managers on the benefits of the deterministic and more efficient methods of HALT and HASS. Integrates the empirical limit discovery methods of HALT and HASS into a physics of failure based robust product and process development process.
