SMART Approach to Spine Clinical Research

Author: Lee   Michael J.  

Publisher: Thieme‎

Publication year: 2013

E-ISBN: 9783131750716

P-ISBN(Hardback):  9783131750617

Subject: R681.5 Spinal and back disease

Language: ENG

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Description

The SMART Approach to Spine Clinical Research is a must-have guide for spine care professionals seeking to make a meaningful contribution to the scientific literature and advance their careers by publishing high-quality clinical research. Planning, conducting, and publishing the results of your clinical research can be a long and arduous journey. The SMART Approach to Spine Clinical Research presents and explains the many interrelated components essential to spine clinical research in an easily accessible way, guiding you step-by-step through the principles and methods of planning and evaluating clinical research. Also addressed are special topics such as getting your manuscript published and conducting a meta-analysis. This SMART approach provides a clear and simple road map for the planning, execution, and critical appraisal of clinical research.

Chapter

1.2 Study question

1.3 Searching the literature

1.4 Study design

1.5 Measurement

1.6 Analysis

1.7 Resources and funding

1.8 Timing

1.9 Bias reduction

1.10 Summary

2 Constructing a SMART study question

2.1 Introduction

2.2 Initial refinement of your study question

2.3 Conceptualizing your study in terms of PICO or PPO

2.4 Summary

3 Constructing a SMART literature search

3.1 Introduction

3.2 Databases and search engines

3.3 A quick search

3.4 Structuring a formal search—the basics

3.5 The language of searches in PubMed

3.6 Combining search terms and wild cards

3.7 Filters (Limits)

3.8 Putting it all together—an example and considerations for study design

3.9 Summary

3.10 References

4 Importance and implications of study design selection

4.1 Introduction

4.2 Descriptive studies

4.3 Analytic studies

4.4 Summary

4.5 References

5 Measurements: the backbone of the study

5.1 Introduction

5.2 Categories of measurement

5.3 Selecting outcomes

5.4 Minimizing bias in outcomes measurements

5.5 Sample size considerations in outcome selection

5.6 Why are you collecting the measurements?

5.7 Case example

5.8 Summary

5.9 References

6 Analysis: basic statistical methods and principles

6.1 Introduction

6.2 Understanding your measurement variables

6.3 Power and sample size calculations

6.4 Developing your data collection forms and database

6.5 Analysis plan

6.6 SMART analysis plan checklist

6.7 Summary

6.8 References

7 Resources and Timing

7.1 Introduction

7.2 Building your team and a network of collaborators

7.3 Can you proceed without funding? What funding options do you have?

7.4 Possible funding sources

7.5 What is the cost of data collection and study operations?

7.6 Timing

7.7 Summary

8 Bias reduction: how to avoid spurious conclusions

8.1 Introduction

8.2 Selection bias

8.3 Attrition bias

8.4 Performance bias

8.5 Measurement or detection bias

8.6 Reporting bias

8.7 Summary

8.8 References

9 Special topics

9.1 Manuscript preparation: being SMART about getting published

9.2 Heterogeneity of treatment effects

9.3 Planning a SMART Registry

9.4 Systematic reviews, comparative effectiveness, and health technology assessments

9.5 The SMART use of meta-analyses

9.6 Healthcare policy: evolution, evidence, and appraisal

Glossary of terms and abbreviations

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