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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

Breton, M., Smithman, M. A., Kreindler, S. A., Jbilou, J., Wong, S. T., Gard Marshall, E., Sasseville, M., Sutherland, J. M., Crooks, V. A., Shaw, J., Contandriopoulos, D., Brousselle, A., & Green, M. (2021). Designing centralized waiting lists for attachment to a primary care provider: Considerations from a logic analysis. Evaluation and Program Planning, 89(Dec). https://doi.org/10.1016/j.evalprogplan.2021.101962

Brousselle, A., & Champagne, F. (2011). Program theory evaluation: logic analysis. Evaluation and Program Planning, 34(1), 69-78. https://doi.org/10.1016/j.evalprogplan.2010.04.001

Brousselle, A., Contandriopoulos, D., & Lemire, M. (2009). Using logic analysis to evaluate knowledge transfer initiatives: the case of the Research Collective on the Organization of Primary Care Services. Evaluation, 15(2), 165-183. https://doi.org/10.1177/1356389008101967

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

Champagne, F., Brousselle, A., Contandriopoulos, A.-P., & Hartz, Z. (2009). L’analyse logique. In A. Brousselle, F. Champagne, A.-P. Contandriopoulos, & Z. Hartz (Eds.), L’Évaluation: Concepts et Méthodes (pp. 103-112). Les Presses de l’Université de Montréal.

Chen, H.-T. (1990). Theory-Driven Evaluations. Sage.

Contandriopoulos, D., Brousselle, A., Dubois, C.-A., Perroux, M., Beaulieu, M.-D., Brault, I., Kilpatrick, K., D'amour, D., & Sansgter-Gormley, E. (2015). A process-based framework to guide Nurse Parctitioners integration into primary healthcare teams: results from a logic analysis. BMC Health Services Research, 15(78). https://doi.org/10.1186/s12913-015-0731-5

Hudon, C., Chouinard, M.-C., Brousselle, A., Brisson, M., & Danish, A. (2020). Evaluating complex interventions in real context: Logic analysis of a case management program for frequent users of healthcare services. Evaluation and Program Planning, 79(April). https://doi.org/10.1016/j.evalprogplan.2019.101753

Hurtubise, K., Brousselle, A., Camden, C., & Noel, M. (2020). Using collaborative logic analysis evaluation to test the program theory of an intensive interdisciplinary pain treatment for youth with pain-related disability. Paediatric and Neonatal Pain, 2, 113-130. https://doi.org/10.1002/pne2.12018

Pawson, R., Greenhalgh, T., Harvey, G., & Walshe, K. (2005). Realist review – a new method of systematic review designed for complex policy interventions. Journal of Health Services Research and Policy, 10(S1), 21–34. https://doi.org/10.1258/1355819054308530

Rey, L., Brousselle, A., & Dedobbeleer, N. (2012). Logic analysis: Testing program theory to better evaluate complex interventions. In J. Houle, N. Dubois, S. Lloyd, M. C., Z. Hartz, & A. Brousselle (Eds.), L'évaluation des interventions complexes. Canadian Journal of Program Evaluation/Revue Canadienne d'Évaluation de Programme (Vol. 26, pp. 61–89). https://doi.org/10.3138/cjpe.0026.006

Tremblay, M.-C., Richard, L., Brousselle, A., & Beaudet, N. (2013). Defining, illustrating and reflecting on logic analysis with an example from a professional development program. Evaluation and Program Planning, 40, 64-73.

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