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Revisiting the Innovation Strategy performance measurement process: insights from practice
Michèle Boileau-Falardeau1,2, Shermeen Farooqi1, Christine O'Rourke1
1Health Promotion and Chronic Disease Prevention Branch/Direction générale de la promotion de la santé et de la prévention des maladies chroniques, Public Health Agency of Canada/Agence de la santé publique du Canada, Ottawa, ON, Canada.
Performance measurement (PM) improves public spending by assessing intervention effectiveness. Recommendations focus on contextualizing results and using validated tools for better decision-making on future funding.
Area of Science:
- Public Health
- Health Services Research
- Program Evaluation
Background:
- Performance measurement (PM) is crucial for public spending transparency and effectiveness.
- Current PM often relies on limited indicators, hindering understanding of intervention impact.
- Complex interventions require enhanced PM approaches for meaningful evaluation.
Purpose of the Study:
- To provide recommendations for improving performance measurement, particularly for complex interventions.
- To enhance the ability of funders to determine intervention success and guide future funding.
- To address limitations in current performance reports and data collection.
Main Methods:
- Analysis of work conducted with the Public Health Agency of Canada Innovation Strategy (PHAC-IS).
- Review of current performance measurement practices and their limitations.
- Development of recommendations based on practical experience.
Main Results:
- Contextualizing results is vital for understanding intervention impact.
- Associating outcomes with well-defined interventions is essential.
- Using validated tools improves data collection and analysis efficiency.
Conclusions:
- Integrating contextualization, clear intervention definition, and validated tools enhances PM.
- Improved PM supports better decisions regarding intervention continuation, scaling, or adaptation.
- The proposed approach can be applied broadly to performance management processes.
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