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| cross-sectional study level of evidence: Evidence-based Nursing Care Guidelines Betty J. Ackley, 2008-01-01 From an internationally respected team of clinical and research experts comes this groundbreaking book that synthesizes the body of nursing research for 192 common medical-surgical interventions. Ideal for both nursing students and practicing nurses, this collection of research-based guidelines helps you evaluate and apply the latest evidence to clinical practice. |
| cross-sectional study level of evidence: Planning Clinical Research Robert A. Parker, Nancy G. Berman, 2016-10-12 Planning clinical research requires many decisions. The authors of this book explain key decisions with examples showing what works and what does not. |
| cross-sectional study level of evidence: Johns Hopkins Nursing Evidence-based Practice Deborah Dang, Sandra Dearholt, 2018 Appendix F_Nonresearch Evidence Appraisal Tool--Appendix G_Individual Evidence Summary Tool--Appendix H_Synthesis Process and Recommendations Tool -- Appendix I_Action Planning Tool -- Appendix J_Dissemination Tool |
| cross-sectional study level of evidence: Finding What Works in Health Care Institute of Medicine, Board on Health Care Services, Committee on Standards for Systematic Reviews of Comparative Effectiveness Research, 2011-07-20 Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research. |
| cross-sectional study level of evidence: Evidence-based Rehabilitation Mary C. Law, Joy MacDermid, 2008 Evidence-Based Rehabilitation: A Guide to Practice, Second Edition is an essential resource for students and practitioners to help incorporate the most current and complete evidence-based research into rehabilitation practice.--BOOK JACKET. |
| cross-sectional study level of evidence: Evidence-Based Practice in Nursing & Healthcare Bernadette Mazurek Melnyk, Ellen Fineout-Overholt, 2018-10-17 Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Evidence-Based Practice in Nursing & Healthcare: A Guide to Best Practice, 4th Edition Bernadette Mazurek Melnyk, PhD, RN, APRN-CNP, FAANP, FNAP, FAAN and Ellen Fineout-Overholt, PhD, RN, FNAP, FAAN Enhance your clinical decision-making capabilities and improve patient outcomes through evidence-based practice. Develop the skills and knowledge you need to make evidence-based practice (EBP) an integral part of your clinical decision-making and everyday nursing practice with this proven, approachable text. Written in a straightforward, conversational style, Evidence-Based Practice in Nursing & Healthcare delivers real-world examples and meaningful strategies in every chapter to help you confidently meet today’s clinical challenges and ensure positive patient outcomes. NEW! Making Connections: An EBP Exemplar opens each unit, immersing you in an unfolding case study of EBP in real-life practice. NEW! Chapters reflect the most current implications of EBP on health policy and the context, content, and outcomes of implementing EBP competencies in clinical and academic settings. NEW! Learning objectives and EBP Terms to Learn at both the unit and chapter levels help you study efficiently and stay focused on essential concepts and vocabulary. Making EBP Real features continue to end each unit with real-world examples that demonstrate the principles of EBP applied. EBP Fast Facts reinforce key points at a glance. Clinical Scenarios clarify the EBP process and enhance your rapid appraisal capabilities. |
| cross-sectional study level of evidence: Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide Agency for Health Care Research and Quality (U.S.), 2013-02-21 This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. 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. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov) |
| cross-sectional study level of evidence: Modern Epidemiology Kenneth J. Rothman, Sander Greenland, Timothy L. Lash, 2008 The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology. |
| cross-sectional study level of evidence: Users' Guides to the Medical Literature Gordon Guyatt, Drummond Rennie, Maureen O. Meade, Deborah J. Cook, 2008-03-01 The “essential” companion to the landmark Users' Guides to the Medical Literature - completely revised and updated! 5 STAR DOODY'S REVIEW! This second edition is even better than the original. Information is easier to find and the additional resources that will be available at www.JAMAevidence.com will provide readers with a one-stop source for evidence-based medicine.--Doody's Review Service Evidence-based medicine involves the careful interpretation of medical studies and its clinical application. And no resource helps you do it better-and faster-than Users' Guides to the Medical Literature: Essentials of Evidence-Based Clinical Practice. This streamlined reference distills the most clinically-relevant coverage from the parent Users' Guide Manual into one highly-focused, portable resource. Praised for its clear explanations of detailed statistical and mathematical principles, The Essentials concisely covers all the basic concepts of evidence-based medicine--everything you need to deliver optimal patient care. It's a perfect at-a-glance source for busy clinicians and students, helping you distinguish between solid medical evidence and poor medical evidence, tailor evidence-based medicine for each patient, and much more. Now in its second edition, this carry-along quick reference is more clinically relevant--and more essential--than ever! FEATURES Completely revised and updated with all new coverage of the basic issues in evidence-based medicine in patient care Abundant real-world examples drawn from the medical literature are woven throughout, and include important related principles and pitfalls in using clinical research in patient care decisions Edited by over 60 internationally recognized editors and contributors from around the globe Also look for JAMAevidence.com, a new interactive database for the best practice of evidence based medicine. |
| cross-sectional study level of evidence: Handbook of EHealth Evaluation Francis Yin Yee Lau, Craig Kuziemsky, 2016-11 To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/ |
| cross-sectional study level of evidence: Critical Appraisal of Epidemiological Studies and Clinical Trials Mark Elwood, 2007-02-22 This book presents a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively. This system emphasizes the central importance of cause and effect relationships. Its great strength is that it is applicable to a wide range of issues, and both to intervention trials and observational studies. This system unifies the often different approaches used in epidemiology, health services research, clinical trials, and evidence-based medicine, starting from a logical consideration of cause and effect. The author's approach to the issues of study design, selection of subjects, bias, confounding, and the place of statistical methods has been praised for its clarity and interest. Systematic reviews, meta-analysis, and the applications of this logic to evidence-based medicine, knowledge-based health care, and health practice and policy are discussed. Current and often controversial examples are used, including screening for prostate cancer, publication bias in psychiatry, public health issues in developing countries, and conflicts between observational studies and randomized trials. Statistical issues are explained clearly without complex mathematics, and the most useful methods are summarized in the appendix. The final chapters give six applications of the critical appraisal of major studies: randomized trials of medical treatment and prevention, a prospective and a retrospective cohort study, a small matched case-control study, and a large case-control study. In these chapters, sections of the original papers are reproduced and the original studies placed in context by a summary of current developments. |
| cross-sectional study level of evidence: Evidence-Based Surgery Achilles Thoma, Sheila Sprague, Sophocles H. Voineskos, Charles H. Goldsmith, 2019-03-25 The purpose of this book specifically is to teach surgeons (academic or community), surgical fellows and surgical residents regardless of the surgical specialty, the skills to appraise what they read in the surgical literature. Surgeons need to be able to understand what they read before applying the conclusions of a surgical article to their practice. As most surgeons do not have the extra training in health research methodology, understanding how the research was done, how to interpret the results and finally deciding to apply them to the patient level is indeed a difficult task. Chapters explain the methodological issues pertaining to the various study designs reported in the surgical literature. Most chapters begin with a clinical scenario with uncertain course of action with which most surgeons are struggling. Readers are taught how to search the literature for the best evidence that will answer the surgical problem under discussion. An identified article that seems relevant to the problem you are investigating can be appraised by addressing 3 key questions: 1). Is the study I am reading valid? 2). What are the results of this study? 3). Can I apply these results to my patients? While the primary goal of Evidence-Based Surgery is to teach surgeons how to appraise the surgical literature, an added benefit is that the concepts explained here may help research-minded surgeons produce higher quality research. |
| cross-sectional study level of evidence: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| cross-sectional study level of evidence: What Is the Evidence on the Role of the Arts in Improving Health and Well-Being Daisy Fancourt, Saoirse Finn, 2019-06 Over the past two decades, there has been a major increase in research into the effects of the arts on health and well-being, alongside developments in practice and policy activities in different countries across the WHO European Region and further afield. This report synthesizes the global evidence on the role of the arts in improving health and well-being, with a specific focus on the WHO European Region. Results from over 3000 studies identified a major role for the arts in the prevention of ill health, promotion of health, and management and treatment of illness across the lifespan. The reviewed evidence included study designs such as uncontrolled pilot studies, case studies, small-scale cross-sectional surveys, nationally representative longitudinal cohort studies, community-wide ethnographies and randomized controlled trials from diverse disciplines. The beneficial impact of the arts could be furthered through acknowledging and acting on the growing evidence base; promoting arts engagement at the individual, local and national levels; and supporting cross-sectoral collaboration. |
| cross-sectional study level of evidence: Improving Healthcare Quality in Europe Characteristics, Effectiveness and Implementation of Different Strategies OECD, World Health Organization, 2019-10-17 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. |
| cross-sectional study level of evidence: How to Read a Paper Trisha Greenhalgh, 2014-02-26 The best-selling introduction to evidence-based medicine In a clear and engaging style, How to Read a Paper demystifies evidence-based medicine and explains how to critically appraise published research and also put the findings into practice. An ideal introduction to evidence-based medicine, How to Read a Paper explains what to look for in different types of papers and how best to evaluate the literature and then implement the findings in an evidence-based, patient-centred way. Helpful checklist summaries of the key points in each chapter provide a useful framework for applying the principles of evidence-based medicine in everyday practice. This fifth edition has been fully updated with new examples and references to reflect recent developments and current practice. It also includes two new chapters on applying evidence-based medicine with patients and on the common criticisms of evidence-based medicine and responses. How to Read a Paper is a standard text for medical and nursing schools as well as a friendly guide for everyone wanting to teach or learn the basics of evidence-based medicine. |
| cross-sectional study level of evidence: Literacy and health outcomes , 2004 |
| cross-sectional study level of evidence: How to Read a Paper Trisha Greenhalgh, 2019-05-06 Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental step of inquiry, from searching the literature to assessing methodological quality and appraising statistics. How to Read a Paper addresses the common criticisms of evidence-based healthcare, dispelling many of its myths and misconceptions, while providing a pragmatic framework for testing the validity of healthcare literature. Now in its sixth edition, this informative text includes new and expanded discussions of study bias, political interference in published reports, medical statistics, big data and more. Offers user-friendly guidance on evidence-based healthcare that is applicable to both experienced and novice readers Authored by an internationally recognised practitioner and researcher in evidence-based healthcare and primary care Includes updated references, additional figures, improved checklists and more How to Read a Paper is an ideal resource for healthcare students, practitioners and anyone seeking an accessible introduction to evidence-based healthcare. |
| cross-sectional study level of evidence: Foundations of Epidemiology Marit L. Bovbjerg, 2020-10 Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening. Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues. |
| cross-sectional study level of evidence: Epidemiology in Medicine Julie E. Buring, 1987 Harvard Medical School, Boston. Textbook for medical and public health students. |
| cross-sectional study level of evidence: Research Methodology in the Social, Behavioural and Life Sciences Herman J Ader, Gideon J Mellenbergh, 1999-12-07 This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes. |
| cross-sectional study level of evidence: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 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. |
| cross-sectional study level of evidence: Synthesizing Quantitative Evidence , 2011 The objective of a systematic review is to summarize the evidence on a specific clinical question using a transparent, a-priori protocol driven approach. This book provides an overview of the fundamental knowledge, principals and processes for the synthesis of quantitative data in reviews of the effectiveness of health care interventions. As such, it is designed for new reviewers, for students and as an introductory text for academics looking for a book on the fundamentals rather than advanced statistical processes.--[source inconnue]. |
| cross-sectional study level of evidence: How to Use the Evidence Nhmrc Staff, 2000 |
| cross-sectional study level of evidence: Does the Built Environment Influence Physical Activity? Transportation Research Board, Institute of Medicine, 2005-01-11 TRB Special Report 282: Does the Built Environment Influence Physical Activity? Examining the Evidence reviews the broad trends affecting the relationships among physical activity, health, transportation, and land use; summarizes what is known about these relationships, including the strength and magnitude of any causal connections; examines implications for policy; and recommends priorities for future research. |
| cross-sectional study level of evidence: Evidence-Based Medicine Toolkit Carl Heneghan, Douglas Badenoch, 2013-05-06 This bestselling pocket guide to the skills of evidence-basedmedicine succeeds in demystifying the terminology and processes ina handy and easy-to-follow format, all within the space of 100pages. With an improved layout, this second edition ofEvidence-based Medicine Toolkit offers more up-to-dateguidance as well as new sections on important areas ofresearch. New features of this second edition include: A box for each major database showing how to search theevidence, and highlighting the differences between them Flow charts for different study types New critical appraisal sections on qualitative research andeconomic evaluation Expanded list of EBM resources on the net. With these added features to make the job easier, the newToolkit is now an even better companion for all health careprofessionals using evidence-based methodology in their researchand practice. |
| cross-sectional study level of evidence: Analysis of Cancer Risks in Populations Near Nuclear Facilities National Research Council, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Committee on the Analysis of Cancer Risks in Populations near Nuclear Facilitiesâ¬"Phase I, 2012-06-29 In the late 1980s, the National Cancer Institute initiated an investigation of cancer risks in populations near 52 commercial nuclear power plants and 10 Department of Energy nuclear facilities (including research and nuclear weapons production facilities and one reprocessing plant) in the United States. The results of the NCI investigation were used a primary resource for communicating with the public about the cancer risks near the nuclear facilities. However, this study is now over 20 years old. The U.S. Nuclear Regulatory Commission requested that the National Academy of Sciences provide an updated assessment of cancer risks in populations near USNRC-licensed nuclear facilities that utilize or process uranium for the production of electricity. Analysis of Cancer Risks in Populations near Nuclear Facilities: Phase 1 focuses on identifying scientifically sound approaches for carrying out an assessment of cancer risks associated with living near a nuclear facility, judgments about the strengths and weaknesses of various statistical power, ability to assess potential confounding factors, possible biases, and required effort. The results from this Phase 1 study will be used to inform the design of cancer risk assessment, which will be carried out in Phase 2. This report is beneficial for the general public, communities near nuclear facilities, stakeholders, healthcare providers, policy makers, state and local officials, community leaders, and the media. |
| cross-sectional study level of evidence: Complementary and Alternative Medicine in the United States Institute of Medicine, Board on Health Promotion and Disease Prevention, Committee on the Use of Complementary and Alternative Medicine by the American Public, 2005-04-13 Integration of complementary and alternative medicine therapies (CAM) with conventional medicine is occurring in hospitals and physicians offices, health maintenance organizations (HMOs) are covering CAM therapies, insurance coverage for CAM is increasing, and integrative medicine centers and clinics are being established, many with close ties to medical schools and teaching hospitals. In determining what care to provide, the goal should be comprehensive care that uses the best scientific evidence available regarding benefits and harm, encourages a focus on healing, recognizes the importance of compassion and caring, emphasizes the centrality of relationship-based care, encourages patients to share in decision making about therapeutic options, and promotes choices in care that can include complementary therapies where appropriate. Numerous approaches to delivering integrative medicine have evolved. Complementary and Alternative Medicine in the United States identifies an urgent need for health systems research that focuses on identifying the elements of these models, the outcomes of care delivered in these models, and whether these models are cost-effective when compared to conventional practice settings. It outlines areas of research in convention and CAM therapies, ways of integrating these therapies, development of curriculum that provides further education to health professionals, and an amendment of the Dietary Supplement Health and Education Act to improve quality, accurate labeling, research into use of supplements, incentives for privately funded research into their efficacy, and consumer protection against all potential hazards. |
| cross-sectional study level of evidence: Age-Period-Cohort Analysis Yang Yang, Kenneth C. Land, 2016-04-19 This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. |
| cross-sectional study level of evidence: Epidemiology for the Uninitiated David Coggon, David Barker, Geoffrey Rose, 2009-02-05 This perennial bestseller is an ideal introductions to epidemiology in health care. The fifith editon retains the book's simplicity and brevity, at the same time providing the reader with the core elements of epidemiology needed in health care practice and research. The text has been revised throughout, with new examples introduced to bring the book right up to date. |
| cross-sectional study level of evidence: Sample Size Calculations in Clinical Research Shein-Chung Chow, Jun Shao, Hansheng Wang, Yuliya Lokhnygina, 2017-08-15 Praise for the Second Edition: ... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study. -Biometrics This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered ... – Journal of the Royal Statistical Society Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation. |
| cross-sectional study level of evidence: Sharing Clinical Trial Data Institute of Medicine, Board on Health Sciences Policy, Committee on Strategies for Responsible Sharing of Clinical Trial Data, 2015-04-20 Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients. |
| cross-sectional study level of evidence: Handbook of Life Course Health Development Neal Halfon, Christopher B. Forrest, Richard M. Lerner, Elaine M. Faustman, 2017-11-20 This book is open access under a CC BY 4.0 license. This handbook synthesizes and analyzes the growing knowledge base on life course health development (LCHD) from the prenatal period through emerging adulthood, with implications for clinical practice and public health. It presents LCHD as an innovative field with a sound theoretical framework for understanding wellness and disease from a lifespan perspective, replacing previous medical, biopsychosocial, and early genomic models of health. Interdisciplinary chapters discuss major health concerns (diabetes, obesity), important less-studied conditions (hearing, kidney health), and large-scale issues (nutrition, adversity) from a lifespan viewpoint. In addition, chapters address methodological approaches and challenges by analyzing existing measures, studies, and surveys. The book concludes with the editors’ research agenda that proposes priorities for future LCHD research and its application to health care practice and health policy. Topics featured in the Handbook include: The prenatal period and its effect on child obesity and metabolic outcomes. Pregnancy complications and their effect on women’s cardiovascular health. A multi-level approach for obesity prevention in children. Application of the LCHD framework to autism spectrum disorder. Socioeconomic disadvantage and its influence on health development across the lifespan. The importance of nutrition to optimal health development across the lifespan. The Handbook of Life Course Health Development is a must-have resource for researchers, clinicians/professionals, and graduate students in developmental psychology/science; maternal and child health; social work; health economics; educational policy and politics; and medical law as well as many interrelated subdisciplines in psychology, medicine, public health, mental health, education, social welfare, economics, sociology, and law. |
| cross-sectional study level of evidence: Evidence-Based Public Health Ross C. Brownson, Elizabeth A. Baker, Terry L. Leet, Kathleen N. Gillespie, William R. True, 2010-12-03 There are at least three ways in which a public health program or policy may not reach stated goals for success: 1) Choosing an intervention approach whose effectiveness is not established in the scientific literature; 2) Selecting a potentially effective program or policy yet achieving only weak, incomplete implementation or reach, thereby failing to attain objectives; 3) Conducting an inadequate or incorrect evaluation that results in a lack of generalizable knowledge on the effectiveness of a program or policy; and 4) Paying inadequate attention to adapting an intervention to the population and context of interest To enhance evidence-based practice, this book addresses all four possibilities and attempts to provide practical guidance on how to choose, carry out, and evaluate evidence-based programs and policies in public health settings. It also begins to address a fifth, overarching need for a highly trained public health workforce. This book deals not only with finding and using scientific evidence, but also with implementation and evaluation of interventions that generate new evidence on effectiveness. Because all these topics are broad and require multi-disciplinary skills and perspectives, each chapter covers the basic issues and provides multiple examples to illustrate important concepts. In addition, each chapter provides links to the diverse literature and selected websites for readers wanting more detailed information. An indispensable volume for professionals, students, and researchers in the public health sciences and preventative medicine, this new and updated edition of Evidence-Based Public Health aims to bridge research and evidence with policies and the practice of public health. |
| cross-sectional study level of evidence: Fowler's Zoo and Wild Animal Medicine Current Therapy, Volume 7 R. Eric Miller, Murray E. Fowler, 2011-07-11 With coverage of current issues and emerging trends, Fowler's Zoo and Wild Animal Medicine, Volume 7 provides a comprehensive, all-new reference for the management of zoo and wildlife diseases. A Current Therapy format emphasizes the latest advances in the field, including nutrition, diagnosis, and treatment protocols. Cutting-edge coverage includes topics such as the One Medicine concept, laparoscopic surgery in elephants and rhinoceros, amphibian viral diseases, and advanced water quality evaluation for zoos. Editors R. Eric Miller and Murray E. Fowler promote a philosophy of animal conservation, bridging the gap between captive and free-ranging wild animal medicine with chapters contributed by more than 100 international experts. - The Current Therapy format focuses on emerging trends, treatment protocols, and diagnostic updates new to the field, providing timely information on the latest advances in zoo and wild animal medicine. - Content ranges from drug treatment, nutrition, husbandry, surgery, and imaging to behavioral training. - Coverage of species ranges from giraffes, elephants, lions, and orangutans to sea turtles, hellbenders, bats, kakapos, and more. - An extensive list of contributors includes recognized authors from around the world, offering expert information with chapters focusing on the latest research and clinical management of captive and free-ranging wild animals. - A philosophy of animal conservation helps zoo and wildlife veterinarians fulfill not only the technical aspects of veterinary medicine, but contribute to the overall biological teams needed to rescue many threatened and endangered species from extinction. - All content is new, with coverage including coverage of cutting-edge issues such as white-nose disease in bats, updates on Ebola virus in wild great apes, and chytrid fungus in amphibians. - Full-color photographs depict external clinical signs for more accurate clinical recognition. - Discussions of the One Medicine concept include chapters addressing the interface between wildlife, livestock, human, and ecosystem health. - New sections cover Edentates, Marsupials, Carnivores, Perrissodactyla, and Camelids. - Over 100 new tables provide a quick reference to a wide range of topics. - An emphasis on conserving threatened and endangered species globally involves 102 expert authors representing 12 different countries. |
| cross-sectional study level of evidence: Practical Statistics for Medical Research Douglas G. Altman, 1990-11-22 Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research. |
| cross-sectional study level of evidence: Epidemiologic Studies of Veterans Exposed to Depleted Uranium Institute of Medicine, Board on Population Health and Public Health Practice, Committee on Gulf War and Health: Updated Literature Review of Depleted Uranium, 2008-09-11 Depleted uranium, a component of some weapons systems, has been in use by the U.S. military since the 1991 Gulf War. Military personnel have been exposed to depleted uranium as the result of friendly fire incidents, cleanup and salvage operations, and proximity to burning depleted uranium-containing tanks and ammunition. Under a Congressional mandate, the Department of Defense sought guidance from the Institute of Medicine in evaluating the feasibility and design of an epidemiologic study that would assess health outcomes of exposure to depleted uranium. The study committee examined several options to study health outcomes of depleted uranium exposure in military and veteran populations and concluded that it would be difficult to design a study to comprehensively assess depleted uranium-related health outcomes with currently available data. The committee further concluded that the option most likely to obtain useful information about depleted uranium-related health outcomes would be a prospective cohort study if future military operations involve exposure to depleted uranium. The book contains recommendations aimed at improving future epidemiologic studies and identifying current active-duty military personnel and veterans with potential DU exposure. |
| cross-sectional study level of evidence: Research Methods in Health Pranee Liamputtong, 2013-05-30 Research Methods in Health is an accessible text that introduces students to qualitative, quantitative and mixed methods research methods, and demonstrates its relevance to evidence-based practice. |
| cross-sectional study level of evidence: Veterinary Epidemiology S. Wayne Martin, Alan H. Meek, Preben Willeberg, 1987 Basic principles. Epidemiologic concepts. Sampling methods. Measurement of disease frequency and production. Studying disease in animal populations. Descriptive epidemiology. Disease causation. Surveys and analytic observational studies. Design of field trials. Theoretical epidemiology: systems analysis and modeling. Animal health economics. Applied epidemiology. Rationale, strategies, and concepts of animal disease control. Monitoring disease and production. Field investigations. |
| cross-sectional study level of evidence: Fundamentals of Clinical Trials Lawrence M. Friedman, Curt Furberg, David L. DeMets, 1998 This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors. |
Evidence-Based Practice Toolkit for Nursing - Oregon Health
May 20, 2025 · Cross-Sectional Studies Describe the relationship between diseases and other factors at one point in time in a defined population. Cross-sectional studies lack any …
Evidence Appraisal - School of Nursing - LibGuides at Oregon …
May 20, 2025 · Cross-Sectional Studies Describe the relationship between diseases and other factors at one point in time in a defined population. Cross-sectional studies lack any …
Evidence-Based Practice Toolkit for Nursing - Oregon Health
May 20, 2025 · A clinical reference platform that includes content from evidence-based nursing monographs, books, journals, practice guidelines, and core measures with nursing …
Finding the Best Evidence - Research and Scholarly Activity Guide …
Jan 7, 2025 · Levels of evidence are assigned to studies based on the methodological quality of their design, validity, and applicability to patient care. There are several well-known levels of …
Evidence-Based Practice Toolkit for Nursing - Oregon Health …
May 20, 2025 · Cross-Sectional Studies Describe the relationship between diseases and other factors at one point in time in a defined population. Cross-sectional studies lack any …
Evidence Appraisal - School of Nursing - LibGuides at Orego…
May 20, 2025 · Cross-Sectional Studies Describe the relationship between diseases and other factors at one point in time in a defined population. Cross-sectional studies lack any …
Evidence-Based Practice Toolkit for Nursing - Oregon Health …
May 20, 2025 · A clinical reference platform that includes content from evidence-based nursing monographs, books, journals, practice guidelines, and core measures with nursing …
Finding the Best Evidence - Research and Scholarly Activit…
Jan 7, 2025 · Levels of evidence are assigned to studies based on the methodological quality of their design, validity, and applicability to patient care. There are several well-known …
