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Nursing and Healthcare Research at a Glance
von Alan Glasper, Colin Rees
Verlag: John Wiley and Sons Ltd
Reihe: At a Glance (Nursing and Healthcare)
Taschenbuch
ISBN: 978-1-118-77879-1
Erschienen am 19.08.2016
Sprache: Englisch
Format: 216 mm [H] x 274 mm [B] x 11 mm [T]
Gewicht: 632 Gramm
Umfang: 224 Seiten

Preis: 40,00 €
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Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

Nursing and Healthcare Research at a Glance is perfect for nursing and healthcare students, as well as newly qualified practitioners and anyone looking for a refresher or introduction to research.

Covering a broad range of topics gathered under key sections, this essential book combines informative diagrams and images to provide memorable information for students on one page, and accessible, clearly written text on the facing page. It includes information on a range of quantitative and qualitative research methods, the process of gaining ethical permission, conducting research with special groups including children, and successfully conducting reviews of the literature.

Key features include:

  • Clear and informative full colour illustrations throughout
  • An emphasis on need-to-know research information for busy students and healthcare staff
  • A wide range of research methods, currently used in modern healthcare research
  • An impressive line-up of specialist and well-known experts in the field of health and nursing research

This book provides quick access to the principles and reality of research and its implementation within the education and practice environment. It is essential reading for anyone in health service education and service settings with limited time who need to draw on research evidence.



Dr Alan Glasper, Professor Emeritus, Faculty of Health Sciences, University of Southampton, UK

Colin Rees, Lecturer (retired), School of Health Care Sciences, Cardiff University, UK



Contributors ix

Preface xiii

Part 1 What is healthcare research? 1

1 The research journey 2

2 Types of review and their purpose 4

3 Using databases to search the literature 6

4 Undertaking a Cochrane systematic review 8

5 Undertaking a Joanna Briggs Institute systematic review 10

6 Using EndNote 12

7 Using the PICO framework 14

8 Using the SPICE framework 16

9 Using grey literature in the quest for evidence 17

10 Why does research need evaluating? 18

11 Key issues in evaluating research 20

12 Critically reviewing a research paper 22

13 The hierarchy of evidence 24

14 Factors influencing research design 26

15 Patient and public involvement in research 28

16 Descriptive studies 30

17 Action research 32

18 Participatory health research 34

19 The ethics of healthcare research 36

20 Preparing a research proposal 38

21 Developing a patient research information pack 40

22 Getting the most from supervision 42

23 Writing a research report 44

24 Implementation of healthcare research 46

25 Barriers to research utilisation 48

26 Designing service evaluations 50

27 Designing audit tools for measuring compliance 52

Part 2 Quantitative research 55

28 Quantitative and qualitative research approaches 56

29 Understanding the randomised controlled trial 58

30 Quasi-experimental study design 60

31 Case-control studies 62

32 Cross-sectional design 64

33 Survey research methods 66

34 Factorial survey using vignettes 68

35 Triangulation in research 70

Part 3 Qualitative research 73

36 Ethnography 74

37 Qualitative observational methods 76

38 Phenomenology 78

39 Grounded theory 80

40 Classical grounded theory 82

41 Case study research 84

42 Focus group research 86

43 The Delphi process 88

44 The nominal group technique 90

45 The icon metaphor technique 92

46 Interpretative phenomenological analysis 94

47 Theory building 96

48 Qualitative interviewing 98

49 Thematic analysis 100

50 Social network analysis 102

51 Critical discourse analysis 104

52 Bricolage research methods 106

53 Narrative inquiry 108

54 Appreciative inquiry 110

55 Qualitative data analysis software packages 112

Part 4 Research techniques 115

56 Questionnaire design 116

57 Using web-based tools to design a questionnaire 118

58 Quality of life scales 120

59 The State-Trait Anxiety Inventory 122

60 Kelly's repertory grids 124

61 Critical incident technique 126

Part 5 Conducting research with special groups 129

62 Conducting research with vulnerable groups 130

63 Research methods applicable to vulnerable groups 132

64 Draw and write/tell technique 134

65 Engaging children and young people in research 136

66 Photographic elicitation as a means of collecting data 138

67 Focus groups with children and young people 140

68 Critical ethnography with children 142

69 Using pre-test post-test designs with children 144

70 Conducting research with older adults 146

71 Conducting surveys with people with learning disabilities 148

72 Conducting focus groups with people with learning disabilities 150

73 People with learning disabilities as co-researchers 152

74 Undertaking research with family carers 154

75 Obtaining consent from vulnerable groups 156

76 Living lab approach 158

Part 6 Historical research 161

77 What is historiography? 162

78 Source criticism 164

79 Critiquing historical research 166

80 Oral tradition 168

Part 7 Educational research 171

81 Secondary data analysis: analysing documents 172

82 Traditional annotation and coding 174

83 Video-View-Point 176

84 Ethnography and healthcare education 178

85 Semantic annotation of skills-based sessions 180

86 Actor network theory 182

Part 8 Appendices 185

1 Sampling 186

2 Calculating the required sample size 188

3 Estimating population means 188

4 Research data management 189

5 Types of data 190

6 Data requirement planning 190

7 Descriptive statistics 191

8 Frequency distribution 191

9 Hypothesis testing and statistical significance 192

10 Choosing the right test 192

11 Non-parametric tests 193

12 Student's t-test 193

13 Analysis of variance 194

14 Tabulating data and the chi-squared test 195

15 Correlation 196

16 Measuring and interpreting correlation 197

17 Simple linear regression 199

18 Meta-analysis 200

19 Propensity score matching 201

20 Mokken scaling 203

Index 205


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