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Epidemiology, Evidence-based Medicine and Public Health (eBook)

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2013 | 6. Auflage
John Wiley & Sons (Verlag)
978-1-118-46356-7 (ISBN)

Lese- und Medienproben

Epidemiology, Evidence-based Medicine and Public Health - Yoav Ben-Shlomo, Sara Brookes, Matthew Hickman
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Translating the evidence from the bedside to populations This sixth edition of the best-selling Epidemiology, Evidence-based Medicine and Public Health Lecture Notes equips students and health professionals with the basic tools required to learn, practice and teach epidemiology and health prevention in a contemporary setting. The first section, 'Epidemiology', introduces the fundamental principles and scientific basis behind work to improve the health of populations, including a new chapter on genetic epidemiology. Applying the current and best scientific evidence to treatment at both individual and population level is intrinsically linked to epidemiology and public health, and has been introduced in a brand new second section: Evidence-based Medicine (EBM), with advice on how to incorporate EBM principles into your own practice. The third section, 'Public Health', introduces students to public health practice, including strategies and tools used to prevent disease, prolong life, reduce inequalities, and includes global health. Thoroughly updated throughout, including new studies and cases from around the globe, key learning features include: Learning objectives and key points in every chapter Extended coverage of critical appraisal and data interpretation A brand new self-assessment section of SAQs and 'True/False' questions for each topic A glossary to quickly identify the meaning of key terms, all of which are highlighted for study and exam preparation Further reading suggestions on each topic Whether approaching these topics for the first time, starting a special study module or placement, or looking for a quick-reference summary, this book offers medical students, junior doctors, and public health students an invaluable collection of theoretical and practical information.

Yoav Ben-Shlomo is Professor of Clinical Epidemiology, School of Social and Community Medicine, University of Bristol Sara T. Brookes is Senior Lecturer in Health Services Research & Medical Statistics, School of Social and Community Medicine, University of Bristol Matthew Hickman is Professor in Public Health and Epidemiology, School of Social and Community Medicine, University of Bristol

Preface, vi

List of contributors, viii

Part 1 Epidemiology

1 Epidemiology: defining disease and normality, 3

Sara T. Brookes and Yoav Ben-Shlomo

2 Measuring and summarising data, 11

Sara T. Brookes and Yoav Ben-Shlomo

3 Epidemiological concepts, 20

Sara T. Brookes and Yoav Ben-Shlomo

4 Statistical inference, confidence intervals and P-values,
26

Kate Tilling, Sara T. Brookes and Jonathan A.C. Sterne

5 Observational studies, 36

Mona Jeffreys and Yoav Ben-Shlomo

6 Genetic epidemiology, 46

David M. Evans and Ian N.M. Day

7 Investigating causes of disease, 55

Debbie A. Lawlor and John Macleod

Self-assessment questions - Part 1: Epidemiology, 63

Part 2 Evidence-based Medicine

8 An overview of evidence-based medicine, 69

Yoav Ben-Shlomo andMatthew Hickman

9 Diagnosis, 74

Penny Whiting and Richard M.Martin

10 Prognosis, 84

Yoav Ben-Shlomo andMatthew Hickman

11 Effectiveness, 92

Sara T. Brookes and Jenny Donovan

12 Systematic reviews and meta-analysis, 102

Penny Whiting and Jonathan Sterne

13 Health economics, 112

William Hollingworth and Sian Noble

14 Audit, research ethics and research governance, 120

Joanne Simon and Yoav Ben-Shlomo

Self-assessment questions - Part 2: Evidence-based
medicine, 128

Part 3 Public Health

15 Public health, 135

Matthew Hickman, Ruth Kipping and David Gunnell

16 Screening, 145

Angela E. Raffle

17 Infectious disease epidemiology and surveillance, 152

Caroline Trotter, Isabel Oliver and Matthew Hickman

18 Inequalities in health, 160

Bruna Galobardes,Mona Jeffreys, and George Davey Smith

19 Health improvement, 170

Bruce Bolam

20 Evaluating public health and complex interventions, 177

Yoav Ben-Shlomo and Rona Campbell

21 Health care targets, 184

Maya Gobin and Gabriel Scally

22 Global health, 191

Sanjay Kinra, David L. Heymann and Shah Ebrahim

Self-assessment questions - Part 3: Public health, 202

Glossary of terms, 205

Self-assessment answers - Part 1: Epidemiology, 221

Self-assessment answers - Part 2: Evidencebased medicine,
224

Self-assessment answers - Part 3: Public health, 228

Index, 233

This introductory overview for pre-med and medical students, public health students, and junior doctors
sets out key concepts, processes, measurements, and types of studies in epidemiology, and outlines
major elements of evidence-based medicine, with chapters on diagnosis, prognosis, effectiveness,
systematic reviews and meta-analysis, health economics, and research ethics. Final chapters on public
health discuss healthcare inequalities. This sixth edition contains new chapters on genetic epidemiology
and on global health and climate change, along with new global case studies. The reader-friendly color
layout features objectives, boxes, checklists, key points, charts, and process illustrations. Other
learning features include a glossary and in-depth case quizzes with explained answers. Each chapter
ends with further reading and a list of web sites. Editor Ben-Schlomo teaches clinical epidemiology at
the University of Bristol, UK. (Book News, June 2013)

Erscheint lt. Verlag 30.1.2013
Reihe/Serie Lecture Notes
Lecture Notes
Lecture Notes
Sprache englisch
Themenwelt Medizin / Pharmazie Allgemeines / Lexika
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Schlagworte BASIC • Basis • Bedside • bestselling • Contemporary • Edition • Epidemiologie • epidemiology • equips • Evidence • evidencebased • fundamental • Genetic • Health • Medical Science • Medical Statistics & Epidemiology • Medizin • Medizinische Statistik • Medizinische Statistik u. Epidemiologie • New • Populations • prevention • Principles • Public • Scientific • sixth • Tools • Work
ISBN-10 1-118-46356-0 / 1118463560
ISBN-13 978-1-118-46356-7 / 9781118463567
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