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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. "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)

Nursing and Healthcare Research at a Glance

Contributors ix Preface xiii 35 Triangulation in research 70 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 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