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(Step 5): New data collection
1 WHY USE SYSTEMS THINKING?
1. How to chose a qualitative method?
2 WHAT IS A SYSTEM?
2. How to set up?
3 THE ORIGIN OF SYSTEMS THINKING AND ITS LINK WITH COMPLEXITY
3. How to collect?
3.1 Interviewing (individuals, groups)
3.1.1 General principles
3.1.1.1 How to plan the research design?
3.1.1.2 Sampling issues in qualitative research: who and how many?
3.1.1.3 How to develop an interview guide?
3.1.1.4 How to run the data collection?
3.1.1.5 How to prepare the data for analysis?
3.1.1.6 What are the common pitfalls?
3.1.13 Examples of KCE reports using the method
3.1.14 Basis references
3.1.2 Individual interviews
3.1.3 Focus groups
3.2 Observation
3.2.1 What is (naturalistic) observation?
3.2.10 Analysis
3.2.11 Reporting of findings
3.2.12 Quality criteria
3.2.13 Examples of KCE reports using the method
3.2.2 When to use observations?
3.2.3 What are the strengths and weaknesses of observations?
3.2.4 How to plan the research design?
3.2.5 Modalities of data collection
3.2.6 Data collection tools
3.2.7 Sampling
3.2.8 Human resources necessary
3.2.9 Practical aspects
3.3 Delphi Technique
3.3.1 Description of the method
3.3.10 Analysis
3.3.11 Reporting of findings
3.3.12 Quality criteria
3.3.2 Specific questions suitable for the method
3.3.3 Strengths and weaknesses of the method
3.3.4 How to plan the research design?
3.3.5 Modalities of data collection
3.3.6 Data collection tools
3.3.7 Sampling
3.3.8 Human resources necessary
3.3.9 Practical aspects
4 A PARADIGM SHIFT
4. How to analyse?
4.1. Aim of the qualitative data analysis
4.2. Definition
4.3. “Methods”, “traditions” and “approaches” in qualitative analysis
4.3.1 Generic methods for analyzing
4.3.2 Specific traditions
4.3.3 Inductive versus deductive approaches
4.4. The analytic journey
4.5. Three ways to analyse qualitative data
4.5.1 An analysis with (predefined) themes: a deductive approach
4.5.2 Framework analysis
4.5.3 An analysis with conceptualizing categories: an inductive approach
4.6. Software to analyse qualitative data
5. How to report qualitative research findings?
5. How to validate qualitative research findings?
5.1.1 What is it about?
5.1.2 The SSM learning cycle
5.1.2.1 Find out about the problematical situation
5.1.2.2 Formulate root definitions
5.1.2.3 Build activity models
5.1.2.4 Using the models to question the real world situation
5.1.2.5 Define/take action to improve the situation, seek accommodation
5.2 System dynamics
5.2.1 The iceberg model
5.2.2 Reinforcing and balancing feedback loops
5.2.3 System Archetypes
5.2.4 Seven steps to break through organizational gridlock
6 SYSTEMS THINKING AND QUALITATIVE RESEARCH
6. How to evaluate QRM?
6.1. Usefulness of quality criteria to evaluate qualitative research
6.2. General quality criteria
6.4. Conclusion
A. Specificities of qualitative research methods
AN EXAMPLE OF A DEBRIEFING TEMPLATE
AN EXAMPLE OF A QUESTIONNAIRE
AN EXAMPLE OF A TOPIC LIST
AN EXAMPLE OF AN INTRODUCTORY TEXT
APPENDIX 6: QUALITATIVE DATA
CHECKLIST FOR THE PREPARATION OF FOCUS GROUP INTERVIEWS
Data analysis in Grounded Theory
How to define and assign pertinent themes?
INTRODUCTION TO SYSTEMS THINKING IN HEALTH SERVICES RESEARCH
OTHER CHECKLISTS AND QUALITY CRITERIA FOR QUALITATIVE RESEARCH
QUALITATIVE DATA (GCP - HSR - HTA)
Step 0: Preparing the data for analysis
Step 1: Familiarization
Step 2: Coding the data - Construction of initial categories
Step 3: Refine and regroup categories
Step 4: Constant comparison
Step 6: Abstraction and interpretation
Technical aspects in the coding
The intellectual process of the categorization
The thematic tree
What is a category?
What is a theme?
Why opt for a qualitative approach?

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