Wendy.Christiaens

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