Description
Book SynopsisA practical guide to understanding and navigating the unique challenges faced by physicians and other professionals who wish to undertake research in the ED or other acute care setting.
Focusing on the hyper-acute and acute care environment and fulfilling two closely-related needs:
1) the need for even seasoned researchers to understand the specific logistics and issues of doing research in the ED; and 2) the need to educate clinically active physicians in research methodology.
This new text is not designed to be a complex, encyclopedic resource, but instead a concise, easy-to-read resource designed to convey key need-to-know information within a comprehensive framework. Aimed at the busy brain, either as a sit-down read or as a selectively-read reference guide to fill in knowledge gaps, chapters are short, compartmentalized, and are used strategically throughout the text in order to introduce and frame concepts. This format makes it easy - and eve
Table of Contents
List of contributors, ix
Part 1: Getting ready: Preparing for your research study
1 Aspects of research specific to acute care, 3
Jarrod M. Mosier and Peter Rosen
2 Aspects of feasibility in research, 7
Kama Z. Guluma
3 How do I formulate a research question?, 13
Michael P. Wilson
4 Evidence]based medicine: Finding the knowledge gap, 17
Eddy Lang and Zubair Bayat
5 How to carry out an efficient literature search, 21
Aleksandr Tichter, Louise Falzon, and Peter Wyer
6 What do I need to know to get started with animal and basic science research?, 31
George J. Shaw
7 The IRB process: How to write up a human studies protocol, 37
Christian Tomaszewski
8 Ethics in research: How to collect data ethically, 45
Nas Rafi and Brian Snyder
9 Safety in research: How to ensure patient safety?, 53
Robert Grover and Vicken Y. Totten
Part 2: Getting it done: Doing your research study
10 How to design a study that everyone will believe: Minimizing bias and confounding, 61
Michael Witting
11 How to design a study that everyone will believe: An overview of research studies and picking the right design, 65
Julian Villar, Jennifer Lanning, and Robert Rodriguez
12 How to design a study that everyone will believe: Random selection and allocation of patients to treatment conditions, 71
Katie L. Tataris, Mary Mercer, and Prasanthi Govindarajan
13 How to design a study that everyone will believe: Surveys, 79
Edward M. Castillo and Gary M. Vilke
14 How to design a study that everyone will believe: Retrospective reviews, 85
Jonathan Auten and Paul Ishimine
15 How to design a study that everyone will believe: Prehospital studies, 93
Christopher Kahn
16 How to design a study that everyone will believe: Ethical concepts for special populations in emergency research, 97
Kimberly Nordstrom
17 How to design a study that everyone will believe: Industry studies, 105
Richard F. Clark and Alicia B. Minns
18 How to design a study that everyone will believe: Prospective studies, 115
Gary Gaddis
19 How to design a study that everyone will believe: effectiveness, safety, and the intention to treat, 121
Ashleigh Campillo, Christopher J. Coyne, and Juan A. Luna
20 How to design a study that everyone will believe: Emergency department operations and systems, 129
Vaishal Tolia
21 How to design a study that everyone will believe: The challenges of doing international research, 133
Vicken Y. Totten
22 The development of clinical prediction rules, 139
Benton R. Hunter and Christopher R. Carpenter
23 Testing the safety and efficacy of devices: Device safety, as well as obtaining an IDE (investigational device exemption) from the FDA, 149
Sean]Xavier Neath
24 Privacy in research: How to collect data safely and confidentially, 155
Gary M. Vilke and Edward M. Castillo
25 How do I establish a research assistant program?, 161
Judd E. Hollander
26 How to complete a research study well and in a minimum of time: The importance of collaboration, 167
Austin Hopper and Michael P. Wilson
Part 3: Getting it out there: Analyzing and publishing your study
27 Eliminating common misconceptions to enable intelligent use of biostatistics: How can a novice use statistics more intelligently?, 175
Gary Gaddis
28 Basic statistics: sample size and power: How are sample size and power calculated?, 183
Manish Garg, Richard Harrigan, and Gary Gaddis
29 Basic statistics: Means, P values, and confidence intervals, 191
Daniel del Portal and Richard Harrigan
30 Basic statistics: Assessing the impact of therapeutic interventions with odds-ratios, relative risk, and hazard ratios, 199
Jesse J. Brennan and Edward M. Castillo
31 Basic statistics: Assessing the impact of a diagnostic test; choosing a gold standard, sensitivity, specificity, PPV, NPV, and likelihood ratios, 205
Stephen R. Hayden
32 Advanced biostatistics: Chi]square, ANOVA, regression, and multiple regression, 213
Gary Gaddis
33 Can I combine the results of this study with others? An introduction to systematic reviews, 223
Brian H. Rowe
34 How to write a scientific paper for publication, 231
Stephen R. Hayden
35 How do I make reviewers happy? The review process: What do reviewers look for in a manuscript? What is the review process?, 239
David J. Karras and Jacob W. Ufberg
36 How do I write a grant?, 247
Zachary D.W. Dezman and Jon Mark Hirshon
37 How to make an academic career: Developing a successful path in research, 253
Deirdre Anglin and Michael Menchine
Glossary, 259
Index, 267
