The Process Evaluation Of Clinical Trials
Download The Process Evaluation Of Clinical Trials full books in PDF, epub, and Kindle. Read online free The Process Evaluation Of Clinical Trials ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Henry A. Glick |
Publisher | : OUP Oxford |
Total Pages | : 265 |
Release | : 2014-10-02 |
Genre | : Medical |
ISBN | : 0191508055 |
It is becoming increasingly important to examine the relationship between the outcomes of a clinical trial and the costs of the medical therapy under study. The results of such analysis can affect reimbursement decisions for new medical technologies, drugs, devices or diagnostics. It can aid companies seeking to make claims about the cost-effectiveness of their product, as well as allowing early consideration of the economic value of therapies which may be important to improving initial adoption decisions. It is also vital for addressing the requirements of regulatory bodies. Economic Evaluation in Clinical Trials provides practical advice on how to conduct cost-effectiveness analyses in controlled trials of medical therapies. This new edition has been extensively rewritten and revised; topics discussed range from design issues such as the types of services that should be measured and price weights, to assessment of quality-adjusted life years. Illustrative materials, case histories and worked examples are included to encourage the reader to apply the methods discussed. These exercises are supported with datasets, programmes and solutions made available online.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 163 |
Release | : 2010-12-21 |
Genre | : Medical |
ISBN | : 030918651X |
Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.
Author | : Allan Steckler |
Publisher | : Jossey-Bass |
Total Pages | : 440 |
Release | : 2002-11-18 |
Genre | : Medical |
ISBN | : |
Process evaluation is an essential component of any program evaluation or intervention research effort. This important resource offers an overview of the history, purpose, strengths, and limitations of process evaluation and includes illustrative case material of the current state of the art in process evaluation. Process Evaluation for Public Health Interventions and Research fills an important gap in the literature for public health researchers, practitioners, scholars, trainers, and students.
Author | : Karen A. Monsen |
Publisher | : Springer |
Total Pages | : 214 |
Release | : 2017-09-14 |
Genre | : Medical |
ISBN | : 3319612468 |
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.
Author | : David A. Richards |
Publisher | : Routledge |
Total Pages | : 444 |
Release | : 2015-04-17 |
Genre | : Medical |
ISBN | : 1134470568 |
Health and human services currently face a series of challenges – such as aging populations, chronic diseases and new endemics – that require highly complex responses, and take place in multiple care environments including acute medicine, chronic care facilities and the community. Accordingly, most modern health care interventions are now seen as ‘complex interventions’ – activities that contain a number of component parts with the potential for interactions between them which, when applied to the intended target population, produce a range of possible and variable outcomes. This in turn requires methodological developments that also take into account changing values and attitudes related to the situation of patients’ receiving health care. The first book to place complex interventions within a coherent system of research enquiry, this work is designed to help researchers understand the research processes involved at each stage of developing, testing, evaluating and implementing complex interventions, and assist them to integrate methodological activities to produce secure, evidence-based health care interventions. It begins with conceptual chapters which set out the complex interventions framework, discuss the interrelation between knowledge development and evidence, and explore how mixed methods research contributes to improved health. Structured around the influential UK Medical Research Council guidance for use of complex interventions, four sections, each comprised of bite-sized chapters written by multidisciplinary experts in the area, focus on: - Developing complex interventions - Assessing the feasibility of complex interventions and piloting them - Evaluating complex interventions - Implementing complex interventions. Accessible to students and researchers grappling with complex interventions, each substantive chapter includes an introduction, bulleted learning objectives, clinical examples, a summary and further reading. The perspectives of various stakeholders, including patients, families and professionals, are discussed throughout as are the economic and ethical implications of methods. A vital companion for health research, this book is suitable for readers from multidisciplinary disciplines such as medical, nursing, public health, health services research, human services and allied healthcare backgrounds.
Author | : Agency for Healthcare Research and Quality/AHRQ |
Publisher | : Government Printing Office |
Total Pages | : 385 |
Release | : 2014-04-01 |
Genre | : Medical |
ISBN | : 1587634333 |
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.
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 236 |
Release | : 2015-04-20 |
Genre | : Medical |
ISBN | : 0309316324 |
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.
Author | : Vinaya Manchaiah |
Publisher | : Frontiers Media SA |
Total Pages | : 139 |
Release | : 2022-08-05 |
Genre | : Medical |
ISBN | : 2889767183 |
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 354 |
Release | : 2012-09-13 |
Genre | : Science |
ISBN | : 0309224187 |
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 165 |
Release | : 2016-12-19 |
Genre | : Medical |
ISBN | : 0309450047 |
The medical research landscape in the United States is supported by a variety of organizations that spend billions of dollars in government and private funds each year to seek answers to complex medical and public health problems. The largest government funder is the National Institutes of Health (NIH), followed by the Department of Defense (DoD). Almost half of DoD's medical research funding is administered by the Congressionally Directed Medical Research Programs (CDMRP). The mission of CDMRP is to foster innovative approaches to medical research in response to the needs of its stakeholdersâ€"the U.S. military, their families, the American public, and Congress. CDMRP funds medical research to be performed by other government and nongovernmental organizations, but it does not conduct research itself. The major focus of CDMRP funded research is the improved prevention, diagnosis, and treatment of diseases, injuries, or conditions that affect service members and their families, and the general public. The hallmarks of CDMRP include reviewing applications for research funding using a two-tiered review process, and involving consumers throughout the process. Evaluation of the Congressionally Directed Medical Research Programs Review Process evaluates the CDMRP two-tiered peer review process, its coordination of research priorities with NIH and the Department of Veterans Affairs, and provides recommendations on how the process for reviewing and selecting studies can be improved.