Table des matières
Chapter 1. Population Health Intervention Research
- The Concept of Population Health Intervention
- Population-based vision
- Intersectoral and operational conception
- Contextual grounding
- Multiple actors
- Objectives of improving health and health equity
- Pluralistic nature
- Population Health Intervention Research
- Positive or negative effects
- The social utility
- The plurality of methods
- The paradigmatic cross-fertilisation
- The different forms of PHIR
- Controlled trial
- Evaluation research
- Action research
- Developmental evaluation
- Embedded research
- Natural experiments
- Conclusion
Chapter 2. Research questions in PHIR
- Designing the intervention: constructing, refining and validating the intervention theory
- Assessing viability
- Evaluating effectiveness
- Efficacy, effectiveness: effectiveness in theory versus in real-life conditions
- Impacts
- Efficiency
- Implementation
- Analysing the mechanisms
- Analysing the dissemination factors of an intervention
- Conclusion
Chapter 3. Methodological approaches (designs) in PHIR
- Different approaches to address different PHIR questions
- Epistemological stance
- The evaluation context and the phase of the innovation process
- The question being addressed
- The nature of the intervention being evaluated and its degree of complexity
- Practical aspects of evaluation
- Main research designs used
- The experimental randomised controlled trial approach
- Biases of randomised controlled trials as applied to PHIR
- Recruitment bias
- Bias related to experimental conditions
- Bias related to lack of blinding
- Other experimental counterfactual approaches
- Pragmatic controlled trials
- Cluster randomised controlled trials
- Patient preference-controlled trial
- Quasi- and non-experimental counterfactual approaches focused on results
- Quasi-experimental studies
- Observational studies (natural experiments)
- Approaches that integrate process and mechanism analysis
- Process evaluations integrated into controlled trials
- Theory-based evaluations
- Conclusion
Chapter 4. Methods of data production and analysis in PHIR
- Principles
- Problematisation
- Rigour
- Ethics
- Some methods of data collection and analysis
- Quantitative, qualitative and mixed methods
- Modelling and methods using existing data
- To construct and validate intervention theories
- To use existing data in various experimental and non-experimental research designs
- To model non-existent data
- To use modelling in a research design as an alternative to data collection
- Methods for data production through consensus-building
- The Delphi method
- The nominal group
- Concept mapping
- Conclusion
Chapter 5. Actors in PHIR
- The categorisation of PHIR actors
- The actors in PHIR
- Implementers
- Researchers
- Decision-makers
- Population
- Funders
- Leaders of scholarly societies and journals, and expert bodies that produce recommendations
- Interest groups
- Stakeholder analysis at three key junctures of PHIR
- Design of the PHIR project
- Implementation of a PHIR project
- Knowledge transfer and PHIR
- The importance of frontline Actors
- Conclusion: Partnership challenges
