Description
Book SynopsisNursing 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.
Trade Review"This book is an easy read and could appeal to all levels of nursing researchers, academics, students and anyone trying to rise up the clinical research ladder...The book takes the reader through all the necessary processes of forming a research question...All the essentials, such as how to conduct a literature review, systematic review and hierarchy of evidence are covered, as well as how to design a research questionnaire. A number of leaders in their field with vast experience in clinical research have contributed to this book, which makes it a valuable contribution to anyone wanting to expand their research knowledge." (Nursing Standard 22/03/2017)
Table of ContentsContributors 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
