Table 2.

Data sources and their use to address the developmental evaluation objectives

DE objective	Data source	Analysis and use of data to address DE objective
Develop and refine the design, reports, processes and resources used in the interactive dissemination project	Document analysis	Identification of implementation strengths, issues and need for refinements Tracking of actions, issues, decisions, key events, changes
	Survey data	Analysis of quantitative and qualitative feedback about reports, processes, resources, design
	Semistructured interviews	Identification of emerging data patterns, commonalities and ideas for project improvement
	Reflective processes and discussion among research team members to integrate, interpret and use different types of data to determine ESP refinement needs and make ongoing implementation decisions
Explore the barriers and facilitators to stakeholder engagement in the project	Semistructured interviews	Coding and analysis of data to develop assertions, propositions, generalisations about factors influencing stakeholder engagement. Interpretation to develop understanding
	Qualitative survey data
	Preliminary findings contribute to team discussions about ESP refinement and implementation.
Identify actual or intended use of the aggregated CQI data and coproduced knowledge by different stakeholders and factors influencing use	Semistructured interviews	Coding and analysis of data to develop assertions, propositions, generalisations about stakeholder use of aggregated CQI data and ESP findings. Interpretation to gain insights
Assess the overall effectiveness of the interactive dissemination processes used in the ESP project	All	Synthesis of all data types and findings to identify key DE findings and outcomes

DE, developmental evaluation; ESP, Engaging Stakeholders in Identifying Priority Evidence-Practice Gaps and Strategies for Improvement in Primary Health Care.