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Do you feel you are drowning in a sea of data and wondering how you can learn from all of this information? While measuring quality efforts in healthcare is essential to the overall performance of any healthcare organization, it is also very complex, leaving many feeling overwhelmed and with a lot of unanswered questions: What are SPC methods and can they really help to improve healthcare? How can control charts be used to monitor key processes and outcomes? How can physicians use control charts to improve their clinical practice? In his latest book, Dr. Raymond Carey answers these questions and more as he helps to explain the need for, and the use of, SPC in healthcare. In Improving Healthcare with Control Charts: Basic and Advanced SPC Methods and Case Studies, Carey expands on his previous best-selling book, Measuring Quality Improvement in Healthcare, by providing more in-depth information on problems commonly experienced in constructing and analyzing control charts. He outlines specific SPC concepts, theories, and methods that will help improve measurement and therefore improve overall performance. Carey also presents many new case studies applying advanced methods and theory to real life healthcare situations.
This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings. The authors' straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates "the voice of the customer" as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership. "Only authors who have used statistics and control charts to solve real-world healthcare problems could have written a book so practical and timely." - Barry S. Bader, Publisher The Quality Letter for Healthcare Leaders "Many clinicians and other healthcare leaders underestimate the great contributions that better statistical thinking could make toward reducing costs and improving outcomes. This fascinating and timely book is a fine guide for getting started." - Donald M. Berwick, M.D. President and CEO, Institute for Healthcare Improvement Associate Professor of Pediatrics, Harvard Medical School Contents: Planning Your CQI Journey, Preparing to Collect Data, Data Collection, Understanding Variation, Using Run and Control Charts to Analyze Process Variation, Control Chart Case Studies, Developing Improvement Strategies, Using Patient Surveys for CQI, Formulas for Calculating Control Limits
Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.
Provides a link between accreditation standards of the Joint Commission on Accreditation for Healthcare Organizations (JCAHO) and quality tools needed to meet these standards. Demonstrates the use of control charts in accordance with JCAHO standards, and provides a how-to reference guide for control charts, with easy to understand instructions, examples, and extensive use of graphics. Each chapter's instructions are followed by examples for practice and training.
The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost
In today’s challenging health care environment, health care organizations are faced with improving patient outcomes, redesigning business processes, and executing quality and risk management initiatives. Health Care Quality Management offers an introduction to the field and practice of quality management and reveals the best practices and strategies health care organizations can adopt to improve patient outcomes and program quality. Filled with illustrative case studies that show how business processes can be restructured to achieve improvements in quality, risk reduction, and other key business results and outcomes Clearly demonstrates how to effectively use process analysis tools to identify issues and causes, select corrective actions, and monitor implemented solutions Includes vital information on the use of statistical process control to monitor system performance (variables) and outcomes (attributes) Also contains multiple data sets that can be used to practice the skills and tools discussed and reviews examples of where and how the tools have been applied in health care Provides information on root cause analysis and failure mode effects analysis and offers, as discussion, the clinical tools and applications that are used to improve patient care By emphasizing the tools of statistics and information technology, this book teaches future health care professionals how to identify opportunities for quality improvement and use the tools to make those improvements.
Americans want a long life and most of us will get to live into our 80's and beyond, but we have not squarely faced the challenges of living well in the last years of long lives. This book lays out a thoroughly pragmatic way to organize service delivery and financing so that Americans could count on living comfortably and meaningfully through the period of disability and illness that most will experience in the last years of life - all at a cost that families and taxpayers can sustain. MediCaring Communities offers to customize care around the priorities of elders and their families and to manage the local care system so it is reliable and efficient.Three out of four of us will need long-term care. The period of needing someone's help every day now lasts more than two years, on average. Most of us will not have saved enough to get through this part of life without financial help from family or government - indeed, we'll spend almost half of our total lifetime healthcare expenditures in this last part of life, mostly on personal care that is not covered by Medicare. We have not yet required housing to be modified for living with disabilities or secured a ready supply of home-delivered food, and we certainly have not required medical care to focus on the patient and family priorities in order to enable the last years to be meaningful and comfortable. Family caregiving will be a crisis as families become smaller, more dispersed, older, and facing inadequate retirement income for the younger generation. MediCaring Communities improve care by building care plans around the health needs and living situation of the elderly person and family, and especially from respecting their choices about priorities. The improvements in service delivery arise from integrating supportive services at home with customized medical care and installing local monitoring and management. The improvements in finance arise from harvesting savings from the current overuse of medical tests and treatments in this part of life. These come together in MediCaring Communities.Strong evidence supports each component, but the real strength is in the combination, where savings support critical community-based services, communities build the necessary environment, and elders and their families craft their course with the help of interdisciplinary teams. This book lays it out, using expansion of PACE (The Program of All-Inclusive Care of the Elderly) as the test case. The book provides a strong and complete guide to serious reform, and just in time for the aging of the Boomers which will escalate the needs dramatically during the 2030's. Now is the time to act.Advance Praise for MediCaring Communities"For decades, Joanne Lynn's has been the clearest, strongest, most soulful voice in America for modernizing the ways in which we care for frail elders. This essential book is her masterpiece. It offers a magisterial, evidence-based vision of that new care, and an entirely plausible pathway for reaching it. Facing a tsunami of aging, our nation simply cannot afford to ignore this counsel."-Donald M. Berwick, MD, President Emeritus and Senior Fellow, Institute for Healthcare Improvement, and former Administrator, Centers for Medicare & Medicaid Services."MediCaring Communities integrates good geriatrics and long-term services and supports, and building upon an expanded PACE program can be a tangible start. We should try this!"-Jennie Chin Hansen, Lead in Developing PACE; Past President, AARP; and Past CEO of On Lok Senior Health Services and the American Geriatrics Society.
This book deals with Applications of Statistical Quality Control Charts in the various field like Public Health and Epidemiology. Many control charts methods have been employed to the different Health situations. Shewhart control charts such as X bar and S chart, u chart were employed to monitor the sugar and pressure level of pregnancy women, spreading level of TB in the particular area. The comparison had made between Sets method and Poisson CUSUM method with the support of cleft lip and palate malformation data. The performance of the three control chart methods for monitoring the incidence rate of a rare event where the increased rate of the event is very small is also discussed. The risk adjusted control chart performance was presented to understand the importance of risk adjustment in the field of health science.