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Table 1 Definitions of CFIR Constructs—Innovation and Process Domains

From: Improving data quality across 3 sub-Saharan African countries using the Consolidated Framework for Implementation Research (CFIR): results from the African Health Initiative

I. Innovation Characteristics Definition
 Innovation Source Perception of key stakeholders about whether the data quality improvement strategy/activities is externally or internally developed
 Evidence Strength and Quality Stakeholders’ perceptions of the quality and validity of evidence supporting the belief that the data quality improvement strategy/activities will have desired outcomes
 Relative Advantage Stakeholders’ perception of the advantage of implementing the data quality improvement strategy/activities versus an alternative solution
 Adaptability The degree to which the data quality improvement strategy/activities can be adapted, tailored, refined or reinvented to meet local needs
 Complexity Perceived difficulty of the data quality improvement strategy/activities, reflected by duration, scope, radicalness, disruptiveness, centrality and intricacy and number of steps required to implement
 Cost Costs of the data quality improvement strategy/activities and costs associated with implementing the innovation including investment, supply, and opportunity costs
II. Implementation Process Definition
 Planning The degree to which a scheme or method of behavior and tasks for implementing the data quality improvement strategy/activities are developed in advance, and the quality of those schemes or methods
 Engaging (Opinion leaders, Formally appointed internal implementation leaders, Champions, External change agents, Key stakeholders, Innovation participants) Attracting and involving appropriate individuals in the implementation and use of the data quality improvement strategy/activities through a combined strategy of social marketing, education, role modeling, training and other similar activities
 Executing Carrying out or accomplishing the implementation of the data quality improvement strategy/activities according to plan
 Reflecting & Evaluating Quantitative and qualitative feedback about the progress and quality of implementation of the data quality improvement strategy/activities accompanied with regular personal and team debriefing about progress and experience