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Large Simple Trials and Knowledge Generation in a Learning Health System: Workshop Summary [Pehme köide]

  • Formaat: Paperback / softback, 118 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 05-Jan-2014
  • Kirjastus: National Academies Press
  • ISBN-10: 0309289114
  • ISBN-13: 9780309289115
Teised raamatud teemal:
  • Formaat: Paperback / softback, 118 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 05-Jan-2014
  • Kirjastus: National Academies Press
  • ISBN-10: 0309289114
  • ISBN-13: 9780309289115
Teised raamatud teemal:
Randomized clinical trials (RCTs) are often referred to as the "gold standard" of clinical research. However, in its current state, the U.S. clinical trials enterprise faces substantial challenges to the efficient and effective conduct of research. Streamlined approaches to RCTs, such as large simple trials (LSTs), may provide opportunities for progress on these challenges. Clinical trials support the development of new medical products and the evaluation of existing products by generating knowledge about safety and efficacy in pre- and post-marketing settings and serve to inform medical decision making and medical product development. Although well-designed and -implemented clinical trials can provide robust evidence, a gap exists between the evidence needs of a continuously learning health system, in which all medical decisions are based on the best available evidence, and the reality, in which the generation of timely and practical evidence faces significant barriers.



Large Simple Trials and Knowledge Generation in a Learning Health System is the summary of a workshop convened by the Institute of Medicine's Roundtable on Value & Science-Driven Health Care and the Forum on Drug Discovery, Development, and Translation. Experts from a wide range of disciplinesincluding health information technology, research funding, clinical research methods, statistics, patients, product development, medical product regulation, and clinical outcomes researchmet to marshal a better understanding of the issues, options, and approaches to accelerating the use of LSTs. This publication summarizes discussions on the potential of LSTs to improve the speed and practicality of knowledge generation for medical decision making and medical product development, including efficacy and effectiveness assessments, in a continuously learning health system.



Large Simple Trials and Knowledge Generation in a Learning Health System explores acceleration of the use of LSTs to improve the speed and practicality of knowledge generation for medical decision making and medical product development; considers the concepts of LST design, examples of successful LSTs, the relative advantages of LSTs, and the infrastructure needed to build LST capacity as a routine function of care; identifies structural, cultural, and regulatory barriers hindering the development of an enhanced LST capacity; discusses needs and strategies in building public demand for and participation in LSTs; and considers near-term strategies for accelerating progress in the uptake of LSTs in the United States.

Table of Contents



Front Matter 1 Introduction 2 Large Simple Trials Now and Looking Forward 3 Examples of Large Simple Trials 4 Medical Product Regulatory Issues 5 Infrastructure Needs and Opportunities 6 Ethical and Privacy Policy Issues 7 Research Partner Perspectives 8 The Randomized Evaluations of Accepted Choices in Treatment Trials 9 Strategies Going Forward Appendix A: Workshop Agenda Appendix B: Biographical Sketches of Speakers
1 Introduction
1(10)
Workshop Scope and Objectives
4(2)
Organization of the Summary
6(2)
References
8(3)
2 Large Simple Trials Now And Looking Forward
11(8)
Introduction
12(1)
A Vision for Large Simple Trials in the Learning Health System
12(3)
Opportunities and Challenges for LSTs
15(2)
References
17(2)
3 Examples Of Large Simple Trials
19(8)
Introduction
20(1)
VITamin D and OmegA 3 TriaL
20(2)
Post-Myocardial Infarction Free Rx Event and Economic Evaluation Trial
22(1)
High Five for Kids Trial and Study of Technology to Accelerate Research
23(1)
Heart Outcomes Prevention Evaluation Trial
24(1)
References
25(2)
4 Medical Product Regulatory Issues
27(8)
Introduction
28(1)
Trial Complexity
28(2)
Simplifying Clinical Trials
30(3)
FDA Perspective
33(1)
References
34(1)
5 Infrastructure Needs And Opportunities
35(8)
Introduction
36(1)
Aligning Care and Research to Reduce Burdens and Improve Integration
37(1)
Point-of-Care Trials Using EHR Platforms
38(1)
Obtaining Research-Quality Data from EHRs
39(2)
Building Reusable Research Networks
41(2)
6 Ethical And Privacy Policy Issues
43(6)
Introduction
44(1)
Policy Overview
44(1)
Ethical Issues in Bringing Research and Care Closer Together
45(2)
Challenges with the Clinical Trial Process
47(2)
7 Research Partner Perspectives
49(6)
Introduction
50(1)
Patient Perspective
50(1)
Health Systems/Clinician Perspective
51(1)
Payer Perspective
52(3)
8 The Randomized Evaluations Of Accepted Choices In Treatment Trials
55(4)
Introduction
55(1)
Randomized Evaluations of Accepted Choices in Treatment Trials
56(2)
Reference
58(1)
9 Strategies Going Forward
59(6)
Learning-Ready Records
59(1)
Network for Question Development
60(1)
Science Stewardship
61(1)
Facilitative Oversight
62(1)
Learning Culture
63(2)
Appendixes
A Workshop Agenda 65(12)
B Biographical Sketches of Speakers 77