Main description:

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.

Contents:

Foreword (350 words) Introduction (1,650 words) Section 1: Introduction to healthcare simulation research 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

Section 5: Mixed methods 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