| ISBN13: | 9783030268367 |
| ISBN10: | 3030268365 |
| Binding: | Paperback |
| No. of pages: | 368 pages |
| Size: | 279x210 mm |
| Weight: | 1354 g |
| Language: | English |
| Illustrations: | 18 Illustrations, black & white; 25 Illustrations, color; 24 Tables, color |
| 157 |
Healthcare Simulation Research
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This book provides readers with a detailed orientation to healthcare simulation research, aiming to provide descriptive and illustrative accounts of healthcare simulation research (HSR). Written by leaders in the field, chapter discussions draw on the experiences of the editors and their international network of research colleagues. This seven-section practical guide begins with an introduction to the field by relaying the key components of HSR. Sections two, three, four, and five then cover various topics relating to research literature, methods for data integration, and qualitative and quantitative approaches. Finally, the book closes with discussions of professional practices in HSR, as well as helpful tips and case studies.Healthcare Simulation Research: A Practical Guide is an indispensable reference for scholars, medical professionals and anyone interested in undertaking HSR.
1. Introduction to healthcare simulation research
2. Contemporary history of healthcare simulation research
3. Healthcare simulation research and evaluation
4. Programs of research in healthcare simulation
5. Choosing your research topic
6. Overview of computation modeling, gaming, virtual reality and system level research
Section 2: Finding and making use of existing literature
7. Seeking, reviewing and reporting on healthcare simulation literature
8. Different types of reviews
Section 3: Qualitative approaches in healthcare simulation research
9. Introduction to qualitative research in healthcare simulation
10. Qualitative research design
11. Key concepts in qualitative research
12. Theoretical frameworks in qualitative research
13. In-depth interviews
14. Focus groups
15. Observational data collection
16. Visual methods (especially video recorded material, semiotics etc.)
17. Survey and other textual data (often free text from questionnaires; educational materials etc.)
18. Traditions and approaches; Analysis in practice
19. Transcription and data management
20. Grounded theory coding
21. Thematic analysis
22. Content analysis
23. Naturally occurring data: conversation, discourse and hermeneutic analysis
Section 4: Quantitative approaches in healthcare simulation research
24. Introduction to quantitative research in healthcare simulation
25. Research questions and hypothesis testing
26. Designing quantitative research studies
- Outcome measures and data
28. Designing, choosing, and using assessment tools in healthcare simulation research
29. Reliability and validity
- Other statistical approaches
- Statistical perspectives
- Non-parametric tests
- Power and sample size calculations, effect size estimation
- Advanced statistical analysis examples
35.< Introduction to mixed methods research in healthcare simulation
36. Making use of different data types
Section 6: Professional practices in healthcare simulation research
37. Writing a research proposal (also see ethics and funding chapters)
38. Writing an ethics application
39. Knowing your strategy prior to submitting
40. Identifying and applying for funding
41. Analysis of successful grant applications
42. Establishing and maintaining multi-site studies in healthcare simulation research
43. Researcher supervision in healthcare simulation research: Supervisor and supervisee perspectives
44. Project management in healthcare simulation research
45. Disseminating healthcare simulation research
46. Writing for publication
47. Being a reviewer for research proposals/manuscripts/abstracts
Section 7: Case studies in healthcare simulation research
In this section, we share examples of researchers work in the theme of ?If I knew then what I know now?? These will be decided later but suggestions welcome.
48. Case study 1
49. Case study 2
50. Case study 3
51. Case study 4
52. Case study 5
