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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
This innovative volume presents a cogent case for quality improvement (QI) in behavioral healthcare as ethical practice, solid science, and good business. Divided between foundational concepts, key QI tools and methods, and emerging applications, it offers guidelines for raising care standards while addressing ongoing issues of treatment validity, staffing and training, costs and funding, and integration with medical systems. Expert contributors review the implications and potential of QI in diverse areas such as treatment of entrenched mental disorders, in correctional facilities, and within the professional context of the American Psychological Association. The insights, examples, and strategies featured will increase in value as behavioral health becomes more prominent in integrated care and vital to large-scale health goals. Included in the coverage: Behavioral health conditions: direct treatment costs and indirect social costs. /liliQuality improvement and clinical psychological science. · Process mapping to improve quality in behavioral health service delivery. · Checklists for quality improvement and evaluation in behavioral health. · Creating a quality improvement system for an integrated care program: the why, what, and how to measure. · Feedback Informed Treatment (FIT): improving the outcome of psychotherapy one person at a time. Quality Improvement i n Behavioral Healthcare gives health psychologists, public health professionals, and health administrators a real-world framework for maintaining quality services in a rapidly evolving health landscape.
This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.
Do interventions improve health outcomes? This volume provides a model and road map to answer clinical questions related to intervention effectiveness research, quality improvement, and program evaluations. It offers clear and simple guidance for all phases of a clinical inquiry projects from planning through dissemination and communication of results and findings. The book emphasizes the value and importance of leveraging existing data to advance research, practice, and quality improvement efforts. Intervention and Effectiveness Research is a practical guide for organizing and navigating the intersections of research and practice. Structure, process and outcome worksheets for every step are provided together with examples from diverse settings and populations to lead readers through the process of implementing their own projects. The author guides readers through the process of designing, implementing, and evaluating project s. This book is intended for teachers of DNP and PhD programs in nursing and other disciplines, their students, and healthcare leaders who need to leverage data to demonstrate care quality and outcomes.
The latest experimental design techniques for quality improvement "The methods taught in this book are a major contribution to statistical methods as an aid to engineers, as well as to those in industry, education, or government who are trying to understand the meaning of fi gures derived from comparisons or experiments." -- W. EDWARDS DEMING Co-written by three recipients of the Deming Medal awarded by the American Society for Quality (ASQ), Quality Improvement through Planned Experimentation, Third Edition discusses the principles and methodologies for planning and conducting experiments to improve products, processes, or systems. Fully revised with up-to-date case studies and incorporating new software, this authoritative guide fosters the sequential building of knowledge essential for implementing effective improvements. End-of-chapter exercises reinforce what you've learned, and forms for designing planned experiments help you to integrate the methods in the book into your daily work. The methods of planned experimentation provide an opportunity to better meet the needs of customers, reduce costs, and increase productivity by effecting verifiably beneficial changes. COVERAGE INCLUDES: * Improvement of quality * Principles for design and analysis of planned experiments * Experiments with one factor * Experiments with more than one factor * Reducing the size of experiments * Evaluating sources of variation * Sequential experimentation * Using a time series response variable * Designs with factors at more than two levels * Applications in health care * New product design NEW: Study-it software available for download!
Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.
The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
This new edition of this bestselling guide offers an integrated approach to process improvement that delivers quick and substantial results in quality and productivity in diverse settings. The authors explore their Model for Improvement that worked with international improvement efforts at multinational companies as well as in different industries such as healthcare and public agencies. This edition includes new information that shows how to accelerate improvement by spreading changes across multiple sites. The book presents a practical tool kit of ideas, examples, and applications.
This collection of 18 case studies covers a broad range of subjects related to health care quality improvement efforts. Ideal as complement to the new Fourth Edition of Continuous Quality Improvement in Health Care, these case studies explore themes such as CQI in Ghana Malaria Control, CQI to reduce central line infections in pediatric hospital, a mother’s advocacy group against medical errors, WHO Safe Surgery Saves Lives Campaign, The Malcolm Baldrige Award Process in Health Care, Comparison of NICE and similar agencies for comparative effectiveness research, and much more.
Efforts to improve the quality of healthcare have failed to achieve a meaningful and sustainable improvement. Patients continue to experience fragmented, inconvenient, and unsafe care while providers are increasingly becoming overburdened with administrative tasks. The need for change is clear. Healthcare professionals need to take on new leadership roles in quality improvement (QI) projects to effect real change. The Quality Improvement Challenge in Healthcare equips readers with the skills and knowledge required to develop and implement successful operational improvement initiatives. Designed for healthcare providers seeking to apply QI in practice, this valuable resource delivers step-by-step guidance on improvement methodology, team dynamics, and organizational change management in the context of real-world healthcare environments. The text integrates the principles and practices of Lean Six Sigma, human-centered design, and neurosciences to present a field-tested framework. Detailed yet accessible chapters cover topics including identifying and prioritizing the problem, developing improvement ideas, defining the scope of the project, organizing the QI team, implementing and sustaining the improvement, and much more. Clearly explaining each step of the improvement process, this practical guide: Presents the material in a logical sequence, gradually introducing each step of the process with clearly defined workflow templates Features a wealth of examples demonstrating QI application, and case studies emphasizing key concepts to highlight successful and unsuccessful improvement initiatives Includes end-of-chapter exercises and review questions for assessing and reinforcing comprehension Offers practical tips and advice on communicating effectively, leading a team meeting, conducting a tollgate review, and motivating people to change Leading QI projects requires a specific set of skills not taught in medical school. The Quality Improvement Challenge in Healthcare bridges this gap for experienced and trainee healthcare providers, and serves as an important reference for residency program directors, physician educators, healthcare leaders, and health-related professional organizations.