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How to read a paper : the basics of evidence-based medicine / Trisha Greenhalgh.
Connect to full text Available online
View online- Format:
- Book
- Author/Creator:
- Greenhalgh, Trisha, author.
- Language:
- English
- Subjects (All):
- Journalism, Medical.
- Research.
- Genre:
- Electronic books.
- Physical Description:
- 1 online resource (285 pages): illustrations, tables
- Edition:
- Fifth edition.
- Place of Publication:
- West Sussex, England : John Wiley and Sons, 2014.
- System Details:
- text file
- Summary:
- 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. Book jacket.
- Contents:
- Chapter 1 Why read papers at all? 1
- Does evidence-based medicine' simply mean 'reading papers in medical journals'? 1
- Why do people sometimes groan when you mention evidence-based medicine? 4
- Before you start: formulate the problem 10
- References 13
- Chapter 2 Searching the literature 15
- What are you looking for? 16
- Levels upon levels of evidence 17
- Synthesised sources: systems, summaries and syntheses 17
- Pre-appraised sources: synopses of systematic reviews and primary studies 21
- Specialised resources 22
- Primary studies - tackling the jungle 23
- One-stop shopping: federated search engines 24
- Asking for help and asking around 25
- Online tutorials for effective searching 26
- References 26
- Chapter 3 Getting your bearings: what is this paper about? 28
- The science of 'trashing' papers 28
- Three preliminary questions to get your bearings 30
- Randomised controlled trials 34
- Cohort studies 38
- Case-control studies 39
- Cross-sectional surveys 40
- Case reports 40
- The traditional hierarchy of evidence 41
- A note on ethical considerations 42
- References 43
- Chapter 4 Assessing methodological quality 45
- Was the study original? 45
- Whom is the study about? 46
- Was the design of the study sensible? 47
- Was systematic bias avoided or minimised? 49
- Was assessment 'blind'? 53
- Were preliminary statistical questions addressed? 54
- Summing up 57
- References 58
- Chapter 5 Statistics for the non-statistician 60
- How can non-statisticians evaluate statistical tests? 60
- Have the authors set the scene correctly? 62
- Paired data, tails and outliers 68
- Correlation, regression and causation 70
- Probability and confidence 72
- The bottom line 74
- Summary 76
- References 76
- Chapter 6 Papers that report trials of drug treatments and other simple interventions 78
- 'Evidence' and marketing 78
- Making decisions about therapy 80
- Surrogate endpoints 81
- What information to expect in a paper describing a randomised controlled trial: the CONSORT statement 84
- Getting worthwhile evidence out of a pharmaceutical representative 86
- References 88
- Chapter 7 Papers that report trials of complex interventions 90
- Complex interventions 90
- Ten questions to ask about a paper describing a complex intervention 92
- References 97
- Chapter 8 Papers that report diagnostic or screening tests 99
- Ten men in the dock 99
- Validating diagnostic tests against a gold standard 100
- Ten questions to ask about a paper that claims to validate a diagnostic or screening test 105
- Likelihood ratios 110
- Clinical prediction rules 111
- References 113
- Chapter 9 Papers that summarise other papers (systematic reviews and meta-analyses) 116
- When is a review systematic? 116
- Evaluating systematic reviews 119
- Meta-analysis for the non-statistician 124
- Explaining heterogeneity 128
- New approaches to systematic review 132
- References 132
- Chapter 10 Papers that tell you what to do (guidelines) 135
- The great guidelines debate 135
- How can we help ensure that evidence-based guidelines are followed? 138
- Ten questions to ask about a clinical guideline 141
- References 148
- Chapter 11 Papers that tell you what things cost (economic analyses) 150
- What is economic analysis? 150
- Measuring costs and benefits of health interventions 151
- References 162
- Chapter 12 Papers that go beyond numbers (qualitative research) 164
- What is qualitative research? 164
- Evaluating papers that describe qualitative research 168
- References 176
- Chapter 13 Papers that report questionnaire research 178
- The rise and rise of questionnaire research 178
- Ten questions to ask about a paper describing a questionnaire study 179
- References 188
- Chapter 14 Papers that report quality improvement case studies 190
- What are quality improvement studies - and how should we research them? 190
- Ten questions to ask about a paper describing a quality improvement initiative 193
- References 200
- Chapter 15 Getting evidence into practice 202
- Why are health professionals slow to adopt evidence-based practice? 202
- How much avoidable suffering is caused by failing to implement evidence? 204
- How can we influence health professionals' behaviour to promote evidence-based practice? 205
- What does an 'evidence-based organisation' look like? 210
- How can we help organisations develop the appropriate structures, systems and values to support evidence-based practice? 212
- References 217
- Chapter 16 Applying evidence with patients 221
- The patient perspective 221
- PROMs 223
- Shared decision-making 224
- Option grids 226
- n of 1 trials and other individualised approaches 229
- References 230
- Chapter 17 Criticisms of evidence-based medicine 233
- What's wrong with EBM when it's done badly? 233
- What's wrong with EBM when it's done well? 235
- Why is 'evidence-based policymaking' so hard to achieve? 238
- References 240.
- Notes:
- Includes bibliographical references at the end of each chapters and index.
- Description based on print version record.
- Local Notes:
- Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
- Other Format:
- Print version: Greenhalgh, Trisha. How to read a paper : the basics of evidence-based medicine.
- ISBN:
- 9781118801116
- OCLC:
- 858975738
- Access Restriction:
- Restricted for use by site license.
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