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This book provides up-to-date resources and examples of outcome measures, tools and methods that can be used by APNs in their quest to keep pace with new developments in the rapidly expanding field of outcome measurement. The chapter authors, recognized expert practitioners, offer invaluable insight into the process of conducting outcomes assessments in all APN practice, including the clinical nurse, nurse practitioner, certified registered nurse anesthetist and certified nurse midwife practice specialties. Detailed figures, tables, and examples of outcome studies from actual research in APN practice make this an essential resource for evaluating the true impact the advanced practice nurse has on the delivery and fulfillment of care.
An invaluable guide to the outcome-based tools needed to help nonprofit organizations increase their effectiveness The Nonprofit Outcomes Toolbox identifies stages in the use of outcomes and shows you how to use specific facets of existing outcome models to improve performance and achieve meaningful results. Going beyond the familiar limits of the sector, this volume also illustrates how tools and approaches long in use in the corporate sector can be of great analytical and practical use to nonprofit, philanthropic, and governmental organizations . An outstanding resource for organizational and program leaders interested in improving performance, there is nothing else like this work currently available. Shows how to identify and set meaningful, sustainable outcomes Illustrates how to track and manage with outcomes Offers guidance in assessing capacity, and using outcome-based communications Features a companion Web site with the tools found in this book Providing the tools and explanations needed to achieve program success, this book is a complete resource for the nonprofit, governmental, or philanthropic professional striving for greater effectiveness in programs or organizations.
A two-time AJN Book of the Year Award winner and a 2013 Doody Core Title! This distinguished text provides top-tier guidance for advanced practice nurses on how to perform a comprehensive systematic review of available research to inform scholarly work, particularly in DNP and PhD programs. With a strategic focus on the search process and assessing the quality of the evidence, this text presents, clearly and comprehensively, all of the knowledge and skills necessary to conduct a foundational CSR in eight concrete steps. This text examines how to write a CSR proposal, final report, and a policy brief based on systematic review findings. Two finished proposals and two completed systematic reviews demonstrate each step of the process from start to finish. Additionally, the text covers software used in research queries and provides helpful strategies for effectively using the search function when seeking information. The Third Edition offers four new chapters with incisive recommendations for performing a CSR and addressing new ways CSR is being implemented in today’s healthcare environment. It describes the latest methodological advances, including living systematic reviews and dominance scores for economic review. Two complete CSRs along with new and updated examples throughout the book further aid readers in their pursuit of excellence in scholarly work. New to the Third Edition: New Chapters: How to choose the right critical appraisal tool Writing the final report and disseminating the results of systematic reviews Disseminating results with how to write a policy brief and/or press release on CSR results Example of a meta-analysis using GRADE Offers increased focus on dissemination Includes new and updated examples reflecting latest trends in nursing scholarly work Key Features: Provides the knowledge and skills necessary to conduct a CSR from start to finish Teaches readers how to conduct high-quality systematic reviews Instructs readers on pertinent resources and methods for optimal library-related systematic review research efforts Describes how to best search research databases to facilitate scholarly work Includes objectives, summary points, end-of-chapter exercises, discussion questions, suggested reading, and references to enhance understanding
Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies. The book focuses on issues specific to the two types of correlated outcomes: longitudinal and clustered. For clustered studies, the authors provide sample size formulas that accommodate variable cluster sizes and within-cluster correlation. For longitudinal studies, they present sample size formulas to account for within-subject correlation among repeated measurements and various missing data patterns. For multiple levels of clustering, the level at which to perform randomization actually becomes a design parameter. The authors show how this can greatly impact trial administration, analysis, and sample size requirement. Addressing the overarching theme of sample size determination for correlated outcomes, this book provides a useful resource for biostatisticians, clinical investigators, epidemiologists, and social scientists whose research involves trials with correlated outcomes. Each chapter is self-contained so readers can explore topics relevant to their research projects without having to refer to other chapters.
This title demonstrates how advanced formulation designs and delivery technologies can be used to improve drug efficacy and treatment outcomes in particular therapeutic categories or disease states. It discusses nanoparticle systems for cancer treatments, and also presents cutting edge immono-regulation agents for transplantation and the local targ
Advanced Case Management: Outcomes and Beyond, is a theoretical, research-oriented, and statistical publication providing comprehensive coverage of advanced case management information. Essential topics presented in this text include outcomes management, disease management, continuous quality improvement (CQI), and complementary medicine practices. Building on Case Management: A Practical Guide to Success in Managed Care, Second Edition, this book explores population-based case management and its components. Part I comprehensively covers disease management concepts and development of a successful disease management program. Part II focuses on the latest trends in outcomes management. Topics covered include how to develop an outcomes management program, the Center for Case Management Accountability (CCMA), benchmarking, and factors affecting case management outcomes. Part III deals with continuous quality improvement (CQI) and proper use of CQI tools. Finally, Part IV, Managing Complementary Health Care--A Vision for the Future, addresses the challenges and the successes of Complementary and Alternative Medicine (CAM) practices.
The transformation in the health care industry, begun over a decade ag o, will continue well into the 21st century. And the dominant theme in the new millennium is likely to be collaborative practice and outcome s-based health care delivery. A collection of the most current and inn ovative presentations in path-based, collaborative practices, this boo k focuses on the design, implementation and analysis of outcomes for t he heavy volume DRGs. For each DRG, the authors present two to three s tandard clinical pathways, and then show how those pathways can be man ipulated to alter outcomes. Health Care Outcomes covers topics in Resp iratory, Neonatal/Pediatric, General Surgery, Orthopaedic, and Geriatr ic Care. A comprehensive collection of critical pathways and outcomes maps being used by leading hospitals and health care agencies around t he country, this is an important reference for developing path-based c are models, or revising critical paths and outcomes maps.
