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Tools

Displaying 1 - 10 of 90
ADOPT (Adoption and Diffusion Outcome Prediction Tool) has been designed to increase understanding of factors influencing adoption of non-contentious mainstream agricultural innovations in developed countries. It “evaluates and predicts the likely level of adoption and diffusion of specific agricultural innovations with a particular target population in mind”. It “uses expertise from multiple disciplines to make […]
Purpose: To provide a process for describing and further assessing propositions, which are “proposals on best practice that have a solid evidence base but remain contested.” Description: The development of propositions has two phases: an initial phase, where “a small group of researchers and practitioners define a set of evidence-based insights and counterview for a […]
Purpose: To help with finding and using research evidence. The focus is on health policy making and these tools are aimed at those responsible for making decisions about health policies and programs (eg., elected officials, civil servants), those who support these decision makers (eg., policy analysts, political staffers, independent advisers) and health system stakeholders (eg., […]
GRADE stands for ‘Grading of Recommendations Assessment, Development and Evaluation’. It was developed for health systems interventions. The GRADE approach separates two issues: “the quality of the evidence and the strength of recommendations. Quality of evidence is only one of several factors considered when assessing the strength of recommendations.” The intention of the GRADE approach […]
Purpose: To describe common problems that can occur with grading systems which may negate their usefulness in justifying evidence-based changes in policy and practice. Description: In order to summarise the state of research on particular topics, the quality and robustness of scientific results is often assessed using one of a number of so-called grading instruments […]
Purpose: To provide an understanding of confirmation bias and ways to avoid it, in order to support good decision making on complex problems. Description: Confirmation bias manifests as follows: (1) We accept a story uncritically if it confirms what we would like to be true and reject it if it contradicts what we would like to be true. (2) We accept a fact as data, even if it is an outlier which is not backed up by large-scale data. (3) We accept data as evidence, even if it is consistent with rival theories, without looking for evidence that supports one theory and rules out all rival theories...
Purpose: To provide an understanding of the dilution effect and its impact on decision making. Description: The dilution effect is a cognitive bias that occurs when we weigh up several pieces of information, some of which are relevant to a decision that we have to make and some of which are irrelevant. It turns out […]
Purpose: To provide more than 120 tools and techniques for managing “the people side of change processes” in personal, team and larger systems change. Description: There are three major sections covering: personal change change in teams, especially in ways of working together larger systems change, mostly focused on organisations. Some tools are able to be […]
Purpose: To work through three key aspects of planning for change―creatively developing new ideas, planning the practicalities of their implementation and assessing risks―to ensure that all three are effectively considered. Description: This process is also referred to as Walt Disney Circle, Disney Creative Strategy, and Disney Brainstorming Method. Planning change involves four phases.
Purpose: To highlight the difference between adoption and use in how research findings contribute to change Description: To understand how research findings lead to change, it is useful to look separately at two steps: Adoption, which is “the willingness and ability to take research results and convert them into something that’s usable more broadly.” This […]
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