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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.
2012 First Place AJN Book of the Year Award Winner in Nursing Research! "This is a resource for success and should be a part of any researcher's library."--Doody's Medical Reviews This book is a practical, user-friendly guide for health care researchers across multiple disciplines who are involved in intervention research. It provides all of the essential elements needed for understanding how to design, conduct, analyze, and fund intervention studies that are replicable and can withstand the scrutiny of the Institutional Review Board and peer review. Developed from an annual continuing education workshop on intervention studies conducted by Dr. Melnyk, this text is the most comprehensive body of information available on this topic. Contributors address the design of interventions that are ethically considerate and sensitive to culture, race/ethnicity, and gender, minimizing threats to external and internal validity, measurement, and budgeting. The guide explores such implementation issues as subject recruitment and retention, data management, and specialized settings, cost analysis, and explaining intervention effects. The text also guides readers in writing grant applications that fund , and addresses how to move intervention study findings into the real world. A unique addition to the book is the availability of digital examples of progress reports, final reports, and research grant applications that have received funding from the National Institutes of Health and other relevant organizations. This text is a valuable resource for all health care professionals conducting research and for doctoral students in health care studies. Key Features: Presents the essential tools for designing, conducting, analyzing, and funding intervention studies Designed for use by health care professionals conducting intervention research Provides comprehensive, accessible guidelines for doctoral students across all health care disciplines Instructs readers on writing grant applications that fund Includes digital examples of funded research grants, progress reports, and final reports
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
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.
This practical resource for nursing students, educators, researchers, and practitioners provides content about the conceptual models of nursing that are used as organizing frameworks for nursing practice, quality improvement projects, and research. Chapters break these abstract models down into their core concepts and definitions. Discussions of each model provide examples of practical application so readers can employ these organizing frameworks. This is the only book to apply these models to quality improvement projects, particularly those in DNP programs and clinical agencies. For every conceptual model, diagrams, information boxes, and other visual elements clarify and reinforce information. Each chapter features applications of the conceptual models to a wide variety of examples, including nursing practice assessment and an intervention, a literature review and descriptive qualitative, instrument development, correlational, experimental, and mixed-method studies. Other valuable features include faculty templates for practice, quality improvement, and research methodologies for each conceptual model, along with extensive references. Key Features: Focuses on applying conceptual models in practice Demonstrates how a wide range of nursing conceptual models are applied to nursing practice, quality improvement, and research PowerPoint templates for each conceptual model avaliable to faculty Provides abundant diagrams, boxes, and other visual elements to clarify and reinforce information Includes an extensive list of references for each conceptual model
Helping human research protection program professionals create, implement, and evaluate quality assurance/quality improvement programs. Quality Assurance and Quality Improvement Handbook for Human Research is the first comprehensively designed instructional manual aimed at teaching human research protection program (HRPP) professionals how to create, implement, evaluate, and improve QA/QI programs. Geared toward institutions and individuals responsible for establishing new QA/QI programs or functions, the book offers several organizational models for consideration. It also provides practical information for improving and strengthening established programs, both big and small. Written in a conversational style, the book's step-by-step instructions make it easily accessible to those who may not be well versed in QA/QI concepts and fundamentals. Developed by the QA/QI Subcommittee of the Harvard Catalyst Regulatory Foundations, Ethics, and Law Program, which is committed to designing and strengthening QA/QI programs and functions, this volume • includes contributions by fifteen experts with diverse professional experiences from varied organizations • is enhanced with flow charts, examples, sample forms, and templates • incorporates model slide presentations and instructional materials • discusses the respective benefits and challenges of different organizational models • is applicable across many organizational types with a variety of reporting structures and available resources, including academic and medical institutions Perfect for both seasoned personnel and newcomers to the field, Quality Assurance and Quality Improvement Handbook for Human Research is a needed resource for ensuring investigative accountability. Contributors: Hila Bernstein, MS, MPH, Barbara E. Bierer, MD, Elizabeth Bowie, JD, MPH, MSc, Susan Corl, MSW, MPH, CIP, CCRP, Jacquelyn-My Do, MPH, Lisa Gabel, CIP, Alyssa Gateman, MPH, CCRP, Jennifer A. Graf, Nareg D. Grigorian, Leslie M. Howes, MPH, CIP, Jennifer Hutchinson, CIP, CPIA, Cynthia Monahan, MBA, CIP, Eunice Newbert, MPH, Sarah A. White, MPH, CIP, Elizabeth Witte, MFA
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
This review was organized to bring a systematic assessment of different quality improvement strategies & their effects to the process of identifying & managing hypertension. Findings suggest that quality improvement strategies appear, in general, to be associated with the improved identification & control of hypertension. It is not possible to discern with complete confidence which specific quality improvement strategies have the greatest effects, since most of the studies included more than one quality improvement strategy. Illustrations.
Setting up a GXP environment where none existed previously is a very daunting task. Getting staff to write down what they do for every task is a correspondingly difficult and time-consuming exercise. Examining how to maintain quality control in clinical trial research, A Practical Guide to Quality Management in Clinical Trial Research provides a co
The Institute of Medicine's Forum on the Science of Health Care Quality Improvement and Implementation held a workshop on January 16, 2007, in Washington, DC. The workshop had its roots in an earlier forum meeting when forum members discussed what is meant by the terms "quality improvement" and "implementation science" and became convinced that they mean different things to different people. At the time, the members also discussed the need to identify barriers to quality improvement research and to implementation science. Thus the purpose of this workshop was to bring people together from various arenas to discuss what quality improvement is, and what barriers exist in the health care industry to quality improvement and also to research about quality improvement. The summary that ensues is thus limited to the presentations and discussions during the workshop itself. We realize that there is a broader scope of issues pertaining to this subject area but are unable to address them in this summary document. The workshop's first session was devoted to experiences that various institutions have had with quality improvement. Recognizing the wealth of experiences available outside of health care services, the workshop included presenters from outside the health care service industry as well as from inside. This includes discussions from a variety of perspectives: non-health care services, health plans, hospitals, and nursing. Advancing Quality Improvement Research: Challenges and opportunities - Workshop Summary describes the events of the workshop.