Abstract
What explains variation in use of health services and perception of health
outcomes? Answering such causal questions is hard to do credibly and cost-
effectively. This chapter presents the Qualitative Impact Protocol, an approach to
impact evaluation based on collecting narrative data directly from stakeholders
about the changes they perceive to be most important in explaining outcomes
across multiple domains relevant to an intervention’s goals. The chapter
demonstrates how data can be coded and visualized using causal mapping.
Findings can contribute both to developing and to testing theories about the
causal mechanisms explaining people’s behavior.
outcomes? Answering such causal questions is hard to do credibly and cost-
effectively. This chapter presents the Qualitative Impact Protocol, an approach to
impact evaluation based on collecting narrative data directly from stakeholders
about the changes they perceive to be most important in explaining outcomes
across multiple domains relevant to an intervention’s goals. The chapter
demonstrates how data can be coded and visualized using causal mapping.
Findings can contribute both to developing and to testing theories about the
causal mechanisms explaining people’s behavior.
Original language | English |
---|---|
Title of host publication | The Handbook of Health Services Evaluation |
Editors | J. Feather, A. Kaehne |
Publisher | Springer |
Publication status | Acceptance date - 1 Oct 2024 |
Keywords
- causal mapping
- qualitative research
- causal pathways
- impact evaluation
- health