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Foundations of Evaluation for Planetary Health: Endnotes

Foundations of Evaluation for Planetary Health
Endnotes

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Notes

table of contents
  1. Abstract
  2. Acknowledgements
  3. About the Authors
    1. Astrid Brousselle
    2. Kai Mountfort
  4. Invitation
  5. Prologue: The Hummingbird Fable
  6. Introduction
    1. Earth Day Evaluation Declaration 2024
    2. Endnotes
  7. 1. Context Matters: Evaluation in the 21st Century
    1. Highlights
    2. Introduction
    3. Environmental and Social Depletion
    4. Reducing Risks
    5. Local Cultural Contexts
    6. Evaluation Takes Place in a Political Context
    7. Post-truth Influence as the New Propaganda
    8. Conclusion
    9. Endnotes
  8. 2. Evaluation for Planetary Health
    1. Highlights
    2. Introduction
    3. The United Nations Sustainable Development Goals
    4. The Planetary Health Framework
    5. A Transformative Approach
    6. Conclusion
    7. Endnotes
  9. 3. The Planetary Health Rapid Impact Assessment Tool
    1. Highlights
    2. Introduction
    3. The Planetary Health Rapid Impact Assessment Tool
    4. Conclusion
    5. Endnotes
  10. 4. Evaluation: Definitions, Approaches and Questions
    1. Highlights
    2. Introduction
    3. Definitions
    4. Evaluation Approaches
    5. When to Evaluate and for What Purpose?
    6. Evaluative Questions
    7. Conclusion
    8. Endnotes
  11. 5. Preparing for the Evaluation
    1. Highlights
    2. Introduction
    3. Evaluation Use and the Importance of Mapping the Context
    4. Drafting an Evaluation Plan
    5. Summary
    6. Conclusion
    7. Endnotes
  12. 6. Representing the Intervention
    1. Highlights
    2. Introduction
    3. The Causal Model
    4. The Logic Model
    5. Use of Logic Models
    6. Different Visual Representations of the Intervention
    7. Conclusion
    8. Endnotes
  13. 7. Logic Analysis
    1. Highlights
    2. Introduction
    3. Foundations of Logic Analysis
    4. Types of Logic Analysis
    5. Steps for Conducting a Direct Logic Analysis
    6. Steps for Conducting a Reverse Logic Analysis
    7. Conclusion
    8. Endnotes
  14. 8. Effect Analysis and Related Approaches
    1. Highlights
    2. Introduction
    3. Defining Effects and Causal Relationship
    4. Experimental and Quasi-Experimental Research Designs
    5. Contribution Analysis
    6. Impact Evaluation
    7. Considering Planetary Health Dimensions when Evaluating Impacts
    8. Outcome Harvesting
    9. Conclusion
    10. Endnotes
  15. 9. Implementation Analysis
    1. Highlights
    2. Introduction
    3. In the Literature
    4. Implementation Analysis Questions
    5. Evaluation Designs for Implementation Analysis
    6. Impacts on Planetary Health
    7. Conclusion
    8. Endnotes
  16. 10. Economic Evaluation
    1. Highlights
    2. Introduction
    3. Background
    4. Types of Economic Evaluations
    5. The Comparator
    6. Cost Calculation
    7. Time Horizon
    8. Uncertainty
    9. Decision Criteria
    10. Limitations of Existing Approaches
    11. A Proposal for Useful Economic Evaluations for Planetary Health
    12. Conclusion
    13. Endnotes
  17. 11. Needs Assessment
    1. Highlights
    2. Introduction
    3. Defining What is, What should be and For Whom
    4. Contextual Elements and Boundaries
    5. Ex-ante and Ex-post
    6. Other important Considerations
    7. Next Steps?
    8. A Political Exercise
    9. Summary
    10. Endnotes
  18. 12. Monitoring
    1. Highlights
    2. Introduction
    3. Focus
    4. Establishing a Monitoring System
    5. Reporting and Other Considerations
    6. Gaming and Other Behavioural Effects
    7. Conclusion
    8. Endnotes
  19. 13. An Example: Evaluating a Local Government Official Community Plan Using Planetary Health Lenses
    1. Introduction
    2. Characterizing the OCP Within the Context of the Planetary Health Framework
    3. Data Collection
    4. Findings
    5. Recommendations
    6. Conclusion
    7. Endnotes
  20. 14. Further Thoughts and Resources
    1. Endnotes
  21. Bibliography

Endnotes

Barbrook-Johnson, P., & Penn, A. S. (2022). Participatory Systems Mapping. In Systems Mapping. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-01919-7_5

Brousselle, A., McDavid, J., Curren, M., Logtenberg, R., Dunbar, B., & Ney, T. (2022). A theory-based approach to designing interventions for Planetary Health. Evaluation, 28(3), 330-355. https://doi.org/10.1177/13563890221107044

Butland, B., Jebb, S., Kopelman, P., McPherson, K., Thomas, S., Mardell, J., & Parry, V. (2007). Tackling obesities: future choices - project report (2nd edition). https://assets.publishing.service.gov.uk/media/5a759da7e5274a4368298a4f/07-1184x-tackling-obesities-future-choices-report.pdf

Fretchtling, J. A. (2007). Logic Modeling Methods in Program Evaluation. Jossey-Bass.

Funnel, S. E., & Rogers, P. (2011). Purposeful Program Theory. Jossey-Bass.

Lambert, S., Heimlick, M., Marzano, M., Mark-Shadbolt, M., & Smith, V. (2024). Theory-of-Change Visuals: Using Diagrams, Metaphors, and Symbols to Communicate Complex Ideas and Get Buy-In. Canadian Journal of Program Evaluation / Revue canadienne d’évaluation de programme, 39(2), 288-312. https://doi.org/10.3138/cjpe-2024-0028

Locke, J. (1975). An essay concerning human understanding. Clarendon Press.

MacDonald, G. (2018). Checklist of key considerations for development of program logic models. Retrieved May 30, 2024 from https://impactamas.summaedu.org/wp-content/uploads/2025/07/logic-models-macdonald_0.pdf

Mackie, J. L. (1974). The cement of the universe: A study of causation. Oxford University Press. https://doi.org/10.1093/0198246420.001.0001

Mayne, J. (2015). Useful Theory of Change Models. Canadian Journal of Program Evaluation / La Revue canadienne d'évaluation de programme, 30.2, 119–142. https://doi.org/10.3138/cjpe.230

Penn, A., & Barbrook-Johnson, P. (n.d.). Participatory Systems Mapping: a Practical Guide. https://www.cecan.ac.uk/wp-content/uploads/2020/09/PSM-Workshop-method.pdf

Renger, R., & Titcomb, A. (2002). A Three-Step Approach to Teaching Logic Models. American Journal of Evaluation, 23(4), 493–503. https://doi.org/10.1016/S1098-2140(02)00230-8

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin Company.

Wilkinson, H., Hills, D., Penn, A., & Barbrook-Johnson, P. (2021). Building a system-based Theory of Change using Participatory Systems Mapping. Evaluation, 27(1), 80-101. https://doi.org/10.1177/1356389020980493

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This book is released under a Creative Commons Attribution-Non-Commercial 4.0 International (CC BY-NC 4.0) license. This means that you are free to share and build upon the material, so long as you give appropriate credit and indicate if changes are made. You may not use the material for commercial purposes. Under this license, anyone who redistributes or modifies this book, in whole or in part, can do so for free providing they properly attribute the book as follows: Brousselle, A. (2026). Foundations of Evaluation for Planetary Health. Victoria, B.C. University of Victoria Libraries. Doi: https://doi.org/10.18357/9781550587364
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